All the representations I’ve seen regarding social distancing guidelines for engineers have depicted what appear to be two male members of the species, which is “So mid-20th century, my dear!”
5 Tips for Expanding your Embedded Skills
As embedded systems engineers, we work in a field that is constantly changing. Not only does change come quickly, the amount of work and the skills we need in order to successfully do our jobs is constantly expanding. A firmware engineer used to need to know the microcontroller hardware and assembly language. Today, they need to know the hardware, several languages, machine learning, security, and dozen other topics. In today’s post, we are going to look at five ways to expand your skillset and stay ahead of the game.
Tip #1 – Take an online course
Taking an online course is a great way to enhance and add to your skillset. If anyone tries to tell you that you don’t need additional coursework don’t let them fool. I’ve often been called an expert in embedded systems, but just like everyone else, I need to take courses to learn and maintain my skillset. In fact, just this week I took a course on Test Driven Development taught by James Grenning, the expert in TDD. I’ve been playing with TDD on and off for several years but despite that familiarity, working with an expert in a subject matter will dramatically improve your skills. I was able to pick James’ brain on TDD, enhance my skills and walked away with several action items to work on over the next several months.
Start by identifying an area of your own skillset that is deficient, rusty or even an area that you want to just move to the next level in. Then find the expert on that topic and take an online, interactive or self-paced course with them. (I won’t mention my own courses that you can find here … ooopps! )
Tip #2 – Read a book
Books can be a great way to enhance your skills. There are dozens of books on embedded system design that can easily be found at any bookstore or online. Some books are better than others. I’ve started to write-up reviews on the books that I’ve read in order to provide you with recommendations on books. This is just in its infancy and can be found at: https://www.beningo.com/?s=book (I’ll be adding a category in the near future to the blog).
You might also want to check out Jack Ganssles book reviews as well which you can find at: http://www.ganssle.com/bkreviews.htm
Books that I am currently working through myself that I’ve been finding to be fantastic so far include:
- Clean Code
- The object-oriented thought process
Tip #3 – Watch a webinar
Webinars are a great way to get a high-level understanding of a new skill or topic. I don’t think a day goes by where I don’t get an advertisement for a webinar in my inbox. Unfortunately, all webinars are not created equal. I’ve come across many webinars that sound fantastic, only to later discover that they are totally marketing focused with little real technical information. I produced anywhere from 8 – 12 webinars per year and always try to include high-level theory, some low-level details and then a practical example through a demonstration. It doesn’t always work out that way and every now and then they undoubtedly flirt with being marketing versus technical, but I always try to make sure that developers get what they need and know where they need to go to dive deeper.
Over the coming months keep a close eye on webinars as a potential source to enhance your skills. I know that I’ll be attending several on Bluetooth Mesh networking (hoping they aren’t pure marketing pitches), and I will also be pulling together several of my own.
Tip #4 – Build something for fun
There is no better way to learn a new skill than to do something! I’ve always found that people who attend my webinars, courses, etc learn more if there are demonstrations and hands-on materials. It’s great to read about machine learning of continuous integration servers but unless you set one up, it’s just theory. We all know that the devil is in the details and applying the skill is what sharpens it.
I highly recommend that developers build something for fun. More than a decade ago when I wanted to learn how to design and layout PCB’s and work with USB firmware, I decided that I was going to develop a USB controlled light bar. I went through an accelerated development schedule and designed schematics and a PCB, had it fabricated and then hand soldered the parts. I wrote all the firmware and eventually had a working device. I learned so much building that simple light bar and even used it for as an example during interviews when I was looking for a new job (this was before I started my business).
Even today, I will still pick a project when I want to learn something. When I was evaluating MicroPython I built an internet connected weather station. It forced me to exercise many details and forced me to solve problems that I otherwise might not have considered if I hadn’t dived into the deep end.
Tip #5 – Find a mentor
The times that I’ve accelerated my understanding of something the most has usually been under the guidance of a mentor or coach. Someone who has mastered the skill you are trying to work with, has made every mistake and can share their wisdom. It’s certainly possible to learn and advance without a mentor but having feedback and the ability to answer a question and then get an educated response can dramatically accelerate the time involved. That’s one of the reasons why I often host interactive webinars and even have a coaching and trusted advisor offering for my clients. It’s just extremely helpful!
No matter how good you are at developing embedded software, hardware and systems, if you don’t take the time to update your skills then within just a few years you’ll find that everyone else is passing you by. You’ll be less efficient and find that you are struggling. Continuing education is critical to engineers to ensure that they are up to date on the latest and greatest practices and contribute their products success.
Originally posted here
By Jack Ganssle
As Good As It Gets
How good does firmware have to be? How good can it be? Is our search for perfection, or near-perfection an exercise in futility?
Complex systems are a new thing in this world. Many of us remember the early transistor radios which sported a half dozen active devices, max. Vacuum tube televisions, common into the 70s, used 15 to 20 tubes, more or less equivalent to about the same number of transistors. The 1940s-era ENIAC computer required 18,000 tubes, so many that technicians wheeled shopping carts of spares through the room, constantly replacing those that burned out. Though that sounds like a lot of active elements, even the 25 year old Z80 chip used a quarter of that many transistors, in a die smaller than just one of the hundreds of thousands of resistors in the ENIAC.
Now the Pentium IV, merely one component of a computer, has 45 million transistors. A big memory chip might require a third of a billion. Intel predicts that later this decade their processors will have a billion transistors. I'd guess that the very simplest of embedded systems, like an electronic greeting card, requires thousands of active elements.
Software has grown even faster, especially in embedded applications. In 1975 10,000 lines of assembly code was considered huge. Given the development tools of the day - paper tape, cassettes for mass storage, and crude teletypes for consoles - working on projects of this size was very difficult. Today 10,000 lines of C - representing perhaps 3 to five times as much assembly - is a small program. A cell phone might contain a million lines of C or C++, astonishing considering the device's small form factor and miniscule power requirements.
Another measure of software size is memory usage. The 256 byte (that's not a typo) EPROMs of 1975 meant even a measly 4k program used 16 devices. Clearly, even small embedded systems were quite pricey. Today? 128k of Flash is nothing, even for a tiny app. The switch from 8 to 16 bit processors, and then from 16 to 32 bitters, is driven more by addressing space requirements than raw horsepower.
In the late 70s Seagate introduced the first small Winchester hard disk, a 5 Mb 10 pound beauty that cost $1500. 5 Mb was more disk space than almost anyone needed. Now 20 Gb fits into a shirt pocket, is almost free, and fills in the blink of an eye.
So, our systems are growing rapidly in both size and complexity. And, I contend, in failure modes. Are we smart enough to build these huge applications correctly?
It's hard to make even a simple application perfect; big ones will possibly never be faultless. As the software grows it inevitably becomes more intertwined; a change in one area impacts other sections, often profoundly. Sometimes this is due to poor design; often, it's a necessary effect of system growth.
The hardware, too, is certainly a long way from perfect. Even mature processors usually come with an errata sheet, one that can rival the datasheet in size. The infamous Pentium divide bug was just one of many bugs - even today the Pentium 3's errata sheet (renamed "specification update") contains 83 issues. Motorola documents nearly a hundred problems in the MPC555.
I salute the vendors for making these mistakes public. Too many companies frustrate users by burying their mistakes.
What is the current state of the reliability of embedded systems? No one knows. It's an area devoid of research. Yet a lot of raw data is available, some of which suggests we're not doing well.
The Mars Pathfinder mission succeeded beyond anyone's dreams, despite a significant error that crashed the software during the lander's descent. A priority inversion problem - noticed on Earth but attributed to a glitch and ignored - caused numerous crashes. A well-designed watchdog timer recovery strategy saved the mission. This was a very instructive failure as it shows the importance of adding external hardware and/or software to deal with unanticipated software errors.
The August 15, 2001 issue of the Journal of the American Medical Association contained a study of recalls of pacemakers and implantable cardioverter-defibrillators. (Since these devices are implanted subcutaneously I can't imagine how a recall works). Surely designers of these devices are on the cutting edge of building the very best software. I hope. Yet between 1990 and 2000 firmware errors accounted for about 40% of the 523,000 devices recalled.
Over the ten years of the study, of course, we've learned a lot about building better code. Tools have improved and the amount of real software engineering that takes place is much greater. Or so I thought. Turns out that the annual number of recalls between 1995 and 2000 increased.
In defense of the pacemaker developers, no doubt they solve very complex problems. Interestingly, heart rhythms can be mathematically chaotic. A slight change in stimulus can cause the heartbeat to burst into quite unexpected randomness. And surely there's a wide distribution of heart behavior in different patients.
Perhaps a QA strategy for these sorts of life-critical devices should change. What if the responsible person were one with heart disease! who had to use the latest widget before release to the general public?
A pilot friend tells me the 747 operator's manual is a massive tome that describes everything one needs to know about the aircraft and its systems. He says that fully half of the book documents avionics (read: software) errors and workarounds.
The Space Shuttle's software is a glass half-empty/half-full story. It's probably the best code ever written, with an average error rate of about one per 400,000 lines of code. The cost: $1000 per line. So, it is possible to write great code, but despite paying vast sums perfection is still elusive. Like the 747, though, the stuff works "good enough", which is perhaps all we can ever expect.
Is this as good as it gets?
The Human Factor
Let's remember we're not building systems that live in isolation. They're all part of a much more complex interacting web of other systems, not the least of which is the human operator or user. When tools were simple - like a hammer or a screwdriver - there weren't a lot of complex failure modes. That's not true anymore. Do you remember the USS Vincennes? She is a US Navy battle cruiser, equipped with the incredibly sophisticated Aegis radar system. In July, 1988 the cruiser shot down an Iranian airliner over the the target wasn't an incoming enemy warplane, but the data was displayed on a number of terminals that weren't easy to see. So here's a failure where the system worked as designed, but the human element created a terrible failure. Was the software perfect since it met the requirements?
Unfortunately, airliners have become common targets for warplanes. This past October a Ukrainian missile apparently shot down a Sibir Tu-154 commercial jet, killing all 78 passengers and crew. As I write the cause is unknown, or unpublished, but local officials claim the missile had been targeted on a close-by drone. It missed, flying 150 miles before hitting the jet. Software error? Human error?
The war in Afghanistan shows the perils of mixing men and machines. At least one smart bomb missed its target and landed on civilians. US military sources say wrong target data was entered. Maybe that means someone keyed in wrong GPS coordinates. It's easy to blame an individual for mistyping! but doesn't it make more sense to look at the entire system as a whole, including bomb and operator? Bombs have pretty serious safety-critical aspects. Perhaps a better design would accept targeting parameters in a string that includes a checksum, rather like credit card numbers. A mis-keyed entry would be immediately detected by the machine.
It's well-known that airplanes are so automated that on occasion both pilots have slipped off into sleep as the craft flies itself. Actually, that doesn't really bother me much, since the autopilot beeps when at the destination, presumably waking the crew. But, before leaving the fliers enter the destination in latitude/longitude format into the computers. What if they make a mistake (as has happened)? Current practice requires pilot and co-pilot to check each other's entries, which will certainly reduce the chance of failure. Why not use checksummed data instead and let the machine validate the data?
Another US vessel, the Yorktown, is part of the Navy's "Smart Ship" initiative. Hugely automating the engineering (propulsion) department reduces crew needs by 10% and saves some $2.8 million per year on this one ship. Yet the computers create new vulnerabilities. Reports suggest that an operator entered an incorrect parameter which resulted in a divide-by-zero error. The entire network of Windows NT machines crashed. The Navy claims the ship was dead in the water for about three hours; other sources claim it was towed into port for two days of system maintenance. Users are now trained to check their parameters more carefully. I can't help wonder what happens in the heat of battle, when these young sailors may be terrified, with smoke and fire perhaps raging. How careful will the checks be?
Some readers may also shudder at the thought of NT controlling a safety-critical system. I admire the Navy's resolve to use a commercial, off the shelf product, but wonder if Windows, which is the target of every hacker's wrath, might not itself create other vulnerabilities. Will the next war be won by the nation with the best hackers?
A plane crash in Florida, in which software did not contribute to the disaster, was a classic demonstration of how difficult it is to put complicated machines in the hands of less-than-perfect people. An instrument lamp burned out. It wasn't an important problem, but both pilots became so obsessed with tapping on the device they failed to notice that the autopilot was off. The plane very gently descended till it crashed, killing everyone.
People will always behave in unpredictable ways, leading to failures and disasters with even the best system designs. As our devices grow more complex their human engineering becomes ever more important. Yet all too often this is neglected in our pursuit of technical solutions.
I'm a passionate believer in the value of firmware standards, code inspections, and a number of other activities characteristic of disciplined development. It's my observation that an ad hoc or a non-existent process generally leads to crummy products. Smaller systems can succeed from the dedication of a couple of overworked experts, but as things scale up in size heroics becomes less and less successful.
Yet it seems an awful lot of us don't know about basic software engineering rules. When talking to groups I usually ask how many participants have (and use) rules about the maximum size of a function. A basic rule of software engineering is to limit routines to a page or less. Yet only rarely does anyone raise their hand. Most admit to huge blocks of code, sometimes thousands of lines. Often this is a result of changes and revisions, of the code evolving over the course of time. Yet it's a practice that inevitably leads to problems.
By and large methodologies have failed. Most are too big, too complex, or too easy to thwart and subvert. I hold great hopes for UML, which seems to offer a way to build products that integrates hardware and software, and that is an intrinsic part of development from design to implementation. But UML will fail if management won't pay for quite extensive training, or toss the approach when panic reigns.
The FDA, FAA, and other agencies are slowing becoming aware of the perils of poor software, and have guidelines that can improve development. Britain's MISRA (Motor Industry Software Reliability Association) has guidelines for the safer use of C. They feel that we need to avoid certain constructs and use others in controlled ways to eliminate potential error sources. I agree. Encouragingly, some tool vendors (notably Tasking) offer compilers that can check code against the MISRA standard. This is a powerful aid to building better code.
I doubt, though, that any methodology or set of practices can, in the real world of schedule pressures and capricious management, lead to perfect products. The numbers tell the story. The very best use of code inspections, for example, will detect about 70% of the mistakes before testing begins. (However, inspections will find those errors very cheaply). That suggests that testing must pick up the other 30%. Yet studies show that often testing checks only about 50% of the software!
Sure, we can (and must) design better tests. We can, and should, use code coverage tools to insure every execution path runs. These all lead to much better products, but not to perfection. Because all of the code is known to have run doesn't mean that complex interactions between inputs won't lead to bizarre outputs. As the number of decision paths increases - as the code grows - the difficulty of creating comprehensive tests skyrockets.
When time to market dominates development, quality naturally slips. If low cost is the most important parameter, we can expect more problems to slip into the product.
Software is astonishingly fragile. One wrong bit out of a hundred million can bring a massive system down. It's amazing that things work as well as they do!
Perhaps the nature of engineering is that perfection itself is not really a goal. Products are as good as they have to be. Competition is a form of evolution that often does lead to better quality. In the 70s Japanese automakers, who had practically no US market share, started shipping cars that were reliable and cheap. They stunned Detroit, which was used to making a shoddy product which dealers improved and customers tolerated. Now the playing field has leveled, but at an unprecedented level of reliability.
Perfection may elude us, but we must be on a continual quest to find better ways to build our products. Wise developers will spend their entire careers engaged in the search.
Originally posted here.
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Today several organizations are designing and developing their IT and network architectures by using IoT technology. The organizations are designing their own IoT network architecture too by choosing a network structure that is quite different in many ways in comparison to the traditional ones.
IoT networks collect and capture data from physical networks all across the world and translate it into workable infrastructure or network. That still uses many algorithms, programs and AI technology in itself. Many IoT app development companies of the industry rely upon this innovative way to get connected.
A Brief Introduction of IoT Network
In IoT network architecture, the data centres are combined through cloud technology. Other network components like core services, connective layers like 4G and 5G, embedded, Ethernet and sensory-based learning, are also connected through the cloud.
IoT Network Layers:
- Collection: The sensors and devices on product side collects and measures collections
- Operational: These are connectors and services that are located in the middle and are responsible for making the calls and creating the gateways
- Distribution: The distribution layer is the third and end layer that is responsible for connecting the rest two layers and deliver data and measurements in a meaningful manner
An IoT network collects and distributes data with the help of these three layers. Now let us discuss the six components of the IoT network:
IoT Network Architecture Components
The network architecture of IoT is divided into several areas as per Tim Zimmerman, a Gartner analyst. He says the first component is the device or sensor itself that can be either an MRI machine in healthcare or any other similar machine connected to the network.
The second component of the IoT network is communication. This will include how the device sends and receives data over the network. IoT network communication usually takes place with the help of two types of enterprise network architectures:
- Wide-area communication
- Cloud-application or on-premise communication
The third framework component for the network is secure. The security technology implementation is quite essential for devices and platforms. They can be protected from any breach and security threat. The devices can communicate safely and securely through these measures.
The fourth component for IoT network framework is the gateway. The gateways can house the application logic, store data and help in network communication to the devices. As per Patrick Filkins, the primary function of the IoT gateway is to perform protocol conversion.
The fifth component of the IoT framework is that aggregation point where one or multiple products or sites connect, and data gets collected.
The final and sixth component of the IoT network is the application itself. The app is the user-interface. From these applications, the users can monitor and control their cars, smart homes and other devices smartly.
Data Challenges for IoT Network
To use IoT data, it should be appropriately collected in a structured manner. Here are the top three challenges that are usually observed by the organizations:
Huge Data Volumes
IDC or International Data Corporation estimates that around 40,000 extra bytes will be created due to IoT devices by next year. The organizations may not be able to handle such a massive amount of data, and it can be a challenging task for them. Large industries will have to collect billions of data sets from sensors, machines and internal business applications.
Data preparation may require 80% of time and resources for data collection, and it can be a time-intensive process for the organizations as organizations may have to take new data challenges. Hence, they need to consider new technologies and methods that can help them in keeping up with the vast influx of data volumes.
The complex nature of data is also a challenge for the organizations. The organizations not only have to deal with a timestamp and geo-tag data but may also have to combine data from various sources and in multiple forms. Excel-like standard data tools can’t handle this complexity, so organizations must know how to tackle such challenges?
The computer systems used by the businesses are not able to process such complex and vast amounts of data to pull out information. It is quite challenging to integrate machine-generated data with business applications like Salesforce or Marketo. So, the organizations must have some solutions that may allow data and applications to talk to each other.
The real benefits of IoT technology can only be realized with proper data preparation and strategies. The organizations and iot app development company must equip their teams with the latest data preparation platforms that can handle a complex and huge amount of IoT data. Incorporation of Big Data and IoT can undoubtedly provide intelligent solutions. Even the sensor data can also provide innovative solutions but may have to be collected smartly as well.
E-commerce has been seeing growth since the past decades. E-commerce had become a trend in retailers and popular in consumers. Owning to its quick, easy, and reliable service, e-commerce's popularity is known to all. Now with the advent of IoT(internet of things), where devices transfer data among themselves without any human interactions, it has benefited e-commerce in myriad ways.
Faster, More Reliable
The first and foremost advantage that IoT provides to e-commerce is that it has added to the reliability of the transactions. As there is no chance of human error anymore. Owning to its automated systems, the data of transactions are reliable and quicker.
Enhancing the business of retailers
Sell more, make money more. The IoT has created a possibility to exactly know the customer's needs and desires using the technology to collect data about the trend on social media. This collected data is then applied to sell the desired products accordingly leading to more and more growth in business via e-commerce. This way it is not only advantageous to the retailers but also to customers as IOT allows a great deal in customer care.
It leads to enhancement in marketing and promotions. Product promotion is also made through IoT and on the other hand it leads to an increase in customer care.
Securing items in the Warehouses
The IoT technology has made it possible to make sure the items do not get over stoked in the Warehouses or the items do not expired/get bruised in them by remotely sensing the products in the warehouses. This has ensured the optimization of productivity. The IoT has the ability to keep in check even at the times when there are lots of chances of human error. So, the items are more secured when the surveillance is through IoT.
Easy Tracking of theft and Losses
The products are always under surveillance, it's location, temperature through multiple devices which keeps a track on this tracking ID. GPS enabled e-commerce business makes it possible to keep track of the products in every instance. Hence making it less prone to theft and other losses. The product is never out of sight and the whole travel history is being constantly recorded. The automated e-mails and texts regarding the product's departure and arrival make it secure in delivering to the right place in a safe way.
E-commerce web Development and Design
When it comes to selling, buying online, eCommerce websites need lucrative web designs to captivate customers and this is one reason Shopify developers are well in demand. Also, not only captivating but also fast and quick. The web development now largely inclined towards using the IoT technologies, as in to make the work fast and more reliable. The IoT devices are meant to communicate more safely. Hence, they are more admired and desired. The web-based user interface also prefer IOT devices for reliability and for making things faster. Als, the IoT enabled websites makes it easier for consumers with a low-speed internet connection by adjusting the response time by minimizing it between the web server and IoT enabled sites.
There's more to come yet in IoT, with its ever-increasing usage of devices. This will help in the growth of e-commerce even more in the future.
Author Bio: Abdullah Ali is Co-founder and Shopify Developer in Los Angeles
by Jack Ganssle
Recently our electric toothbrush started acting oddly – differently from before. I complained to Marybeth who said, “I think it’s in the wrong mode.”
Really? A toothbrush has modes?
We in the embedded industry have created a world that was unimaginable prior to the invention of the microprocessor. Firmware today controls practically everything, from avionics to medical equipment to cars to, well everything.
But we’re working too hard at it. Too many of us use archaic development strategies that aren’t efficient. Too many of us ship code with too many errors. That's something that can, and must, change.
Long ago the teachings of Deming and Juran revolutionized manufacturing. One of Deming's essential insights was that fixing defects will never lead to quality. Quality comes from correct design rather than patches applied on the production line. And focusing on quality lowers costs.
The software industry never got that memo.
The average embedded software project devotes 50% of the schedule to debugging and testing the code. It's stunning that half of the team’s time is spent finding and fixing mistakes.
Test is hugely important. But, as Dijkstra observed, testing can only prove the presence of errors, not the absence of bugs.
Unsurprisingly, and mirroring Deming's tenets, it has repeatedly been shown that a focus on fixing bugs will never lead to a quality product - all that will do is extend the schedule and insure defective code goes out the door.
Focusing on quality has another benefit: the project gets done faster. Why? That 50% of the schedule used to deal with bugs gets dramatically shortened. We shorten the schedule by not putting the bugs in in the first place.
High quality code requires a disciplined approach to software engineering - the methodical use of techniques and approaches long known to work. These include inspection of work products, using standardized ways to create the software, seeding code with constructs that automatically catch errors, and using various tools that scan the code for defects. Nothing that is novel or unexpected, nothing that a little Googling won't reveal. All have a long pedigree of studies proving their efficacy.
Yet only one team out of 50 makes disciplined use of these techniques.
What about metrics? Walk a production line and you'll see the walls covered with charts showing efficiency, defect rates, inventory levels and more. Though a creative discipline like engineering can't be made as routine as manufacturing, there are a lot of measurements that can and must be used to understand the team's progress and the product's quality, and to drive the continuous improvement we need.
Errors are inevitable. We will ship bugs. But we need a laser-like focus on getting the code right. How right? We have metrics; we know how many bugs the best and mediocre teams ship. Defect Removal Efficiency is a well-known metric used to evaluate quality of shipped code; it's the percentage of the entire universe of bugs found in a product that were removed prior to shipping (it's measured until 90 days after release). The very best teams, representing just 0.4% of the industry, eliminates over 99% of bugs pre-shipment. Most embedded groups only removed 95%.
Where does your team stand on this scale? Can one control quality if it isn’t measured?
We have metrics about defect injection rates, about where in the lifecycle they are removed, about productivity vs. any number of parameters and much more. Yet few teams collect any numbers.
Engineering without numbers isn’t engineering. It’s art.
Want to know more about metrics and quality in software engineering? Read any of Capers Jones’ books. They are dense, packed with tables of numbers, and sometimes difficult as the narrative is not engaging, but they paint a picture of what we can measure and how differing development activities effect errors and productivity.
Want to understand where the sometimes-overhyped agile methods make sense? Read Agile! by Bertrand Meyer and Balancing Agility and Discipline by Barry Boehm and Richard Turner.
Want to learn better ways to schedule a project and manage requirements? Read any of Karl Wiegers’ books and articles.
The truth is that we know of better ways to get great software done more efficiently and with drastically reduced bug rates.
When will we start?
Jack Ganssle has written over 1000 articles and six books about embedded systems, as well as one about his sailing fiascos. He has started and sold three electronics companies. He welcomes dialog at [email protected] or at www.ganssle.com.
Internet of Things is the perfect example of something being so simple and elegant yet being an astounding and breakthrough innovation in the modern era of disruptive technologies. This technology has already projected its influence over typical machine-based industries like oil & gas, automotive, manufacturing, utilities, etc.
However, IoT is not only beneficial for production-based companies but can also be used for practical applications in B2C businesses like tourism and hospitality.
Internet of Things in the hospitality business not only helps hotels and restaurants to improve their services but also empower their guests to enjoy exceptional hands-on experiences. It creates a network of connected devices that offer smart and autonomous experiences to the visitors.
Internet of Things offers a ton of possibilities to a hospitality business. Big hotel chains like Marriott and Hilton have already implemented this disruptive technology to enhance their generous services and provide their guests with out of the box experiences.
Below are some applications of IoT that a hotel or any hospitality business can use:
1.Guestroom Automation to Elate Customers:
After a long journey, guests expect a pleasant and warm stay from their temporary accommodation. They prefer a completely customized service as per their expectations and likings. Smart IoT solutions now empower hotels and guesthouses to provide their visitors exactly what they desire.
IoT allows the development of a centralized and connected network between different automated systems and appliances. For example, based on their desire and liking your guests can alter the luminosity and intensity of the lights from IoT based smart lighting solutions. Moreover, appliances can also conduct operations autonomously. For example, proximity sensors embedded in the room can detect the movement of the guest and turn on the coffee machine to brew the beverage.
You can also use this connected network to identify the preferences of your customers and use this information to surprise your customers with customized and personalized services the next time they visit.
Furthermore, hospitality businesses having their hotels in different locations can also share data about their customers in a common CRM to make sure that the guests come across the same experience in every branch of the hotel chain.
This cross-property integration allows hotels to keep their customers’ profiles in a centralized system that can be accessed distantly. IoT plays a crucial role in this as it enables a hotel to collect guest’s data and share it with its patrons via the common info management software.
2. Predictive Maintenance of Room Appliance:
The biggest disappointment for a guest is when they enter their previously booked room and find a leaky pipe or damaged air conditioner. These instances not only affects the immediate experience of the visitor but also the overall reputation of your hotel.
In order to prevent these situations, you can use the predictive analytics capabilities of the IoT solutions. Smart sensors and meters can be installed in appliances and pipeline networks to identify the possibility of unexpected breakdowns and malfunctions before your guest encounters them. These sensors will notify the room service staff about bottlenecks and enable them to fix the issue before it actually occurs.
This predictive analytics system can hence be used by hotels to improve maintenance systems and prevent sudden failure of any appliance in any of the rooms. This not only will help you to boost your customer service but also protect your hotel chain’s reputation from getting spoiled. Additionally, you will also save a lot of money that is generally spent to repair the broken equipment at a moment’s notice.
3. Guestroom Transforming Features:
The appeal of any hotel lies in its rooms. Primarily, it is the main aspect of a hospitality business that visitors’ book. Even if you give your users with relaxing spa vouchers or free-swimming pool amenities, they are more likely to be disappointed if you don’t provide them with best in class staying experience.
It is hence of utmost importance for any hotel to keep its rooms abreast with amazing features. One way to do so is by using devices powered with quintessential technologies that are capable of presenting an amazing experience to the guests.
Some of these devices include smart switches, electronic key cards, and voice assistants. Voice assistants Amazon Alexa can be programmed to specifically cater to the demands of the customer staying in the room. This IoT and AI-powered device will enable hotel staff to monitor the preferences and likings of the guests and provide personalized services the next time they visit.
4. Smart Solutions for Hotel management:
IoT not only empowers hospitality businesses to provide outstanding services to its guests but also manage other tasks related to its conventional operations. By using facility management services of IoT, a hotel can manage the consumption of its utilities and reduce the cost associated with its usage.
Furthermore, these solutions can also be used by hotels to manage inventory and optimize resource utilization. Hence, hotels can reduce their manpower and cut costs. Moreover, these services will also aid the business to increase its guest satisfaction through its unique staying experiences.
The success of any hospitality business depends on the satisfaction it can provide to its guests. By using the technology of IoT and its features, a hotel can enhance its services and capture the heart of its guests.
IoT helps the hospitality business to enhance its services related to housekeeping and accommodation that in turn boosts the satisfaction of the customers. This also increases the reputation of the hotel chain which results in better business opportunities.
IoT security is challenging but only few companies are taking action. Businesses are experiencing a significant rise in cyber-attacks and malwares, compromising devices and their security. In order to tackle this, Microsoft has taken considerable action and developed an end-to-end IoT solution, which is called Microsoft Azure Sphere that can safeguard the IoT devices from evolving threats.
Internet of Things (IoT) is no longer a buzzword but it is a reality. IoT has become an integral part of most industries, and IoT platforms providers are playing a vital role in the seamless deployment of IoT devices. IoT platforms provide great value to your business, allowing you to build, deploy, and scale products and reduce development cost by streamlining the process. However, many stakeholders are still confused about what IoT platform they should go with.
Business among all industry domains are adopting IoT solutions. According to Statista, the total investment in the Internet of Things (IoT) connected devices is projected to amount to 75.44 billion worldwide by 2025. To build your IoT solutions and connect devices you would need an IoT platform. Let’s see what IoT platforms are and how they can help you with your IoT developments.
IoT Ecosystem and IoT Platform
In order to understand the IoT cloud platform, first, we should talk about an IoT ecosystem. An IoT ecosystem consists of hardware (devices, sensors), software (software hosted in the cloud), connectivity (cellular, satellite, Wi-Fi) and a user interface (web application with dashboard). To unlock the true value of IoT we need to successfully integrate these components effectively.
The IoT platforms fall under either software or the IoT system user interface. With the advent of IoT with billions of devices are getting connected each day, that are able to compute, store and run multiple applications. This is where we need an integrated IoT platform.
IoT platforms help in connecting hardware or sensors, provide security to devices, handle hardware and software protocols, and collect, visualize, and analyze data the sensors/hardware collects. IoT Cloud platform as a service offers IoT devices and cloud computing capabilities.
There are several IoT cloud platform providers available in the market that helps in filling the gap between the device sensors and data networks. This can be divided into two types, the public IoT cloud providers and industrial IoT cloud providers. The public cloud services providers include the widely used cloud platforms like Microsoft, AWS, Google, and IBM.
The industrial IoT platforms include PTC- ThingWorx®, Bosch IoT Suite, GE-Predix, Honeywell’s Sentience, and Siemens’s MindSphere. Before evaluating the public and industrial IoT platforms let’s look at the factors we should consider while comparing the IoT cloud platforms.
Factors to be considered while comparing different IoT Cloud Platforms
The key factors that account for the selection of an IoT cloud platform depend on business and technical requirements. You should consider the Reliability, Scalability, Operations, Protocols, Hardware agnostic, Customization, Technology Stack, Cloud agnostic, Security, Support and Cost.
Evaluating the Top Public IoT Cloud Platforms
Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) are public cloud platforms that have IoT-specific components. Let’s evaluate them in detail. We will compare the key offerings of Microsoft Azure IoT Hub, AWS IoT Core and Google Cloud IoT Core
Azure IoT Hub
Azure IoT hub is a managed platform as service (PaaS) developed by Microsoft for various industry applications. It acts as a central message hub for two way communication between the IoT application and device. Azure IoT hubs enables you to build desired IoT solutions with reliable communication among IoT connected devices.
It supports device to cloud and cloud to device communication with support for multiple messaging patterns for example device-to-cloud telemetry. IoT hub also enables you to easy monitoring of IoT solution and perform regular health checks and record events like device creation, device failure, and device connections. The developers can containerize the cloud applications and locally run them on the device using the Microsoft Azure IoT edge. Containerization provides you higher speed in delivery of enhancement and improves security by isolating from the host system.
Key Advantages of Azure IoT Hub:
- It offers a data warehouse for storing the device metadata searchable using a specific search query
- Support almost all the languages for device libraries
- Azure IoT hub provides extensive device connectivity and data management
- Enable easy and secure peer connection to other azure services
- Devices can use different network protocols to setup seamless interconnection
AWS IoT Core
AWS IoT Core is a managed cloud platform from AWS that provides a seamless and secure connection between billions of connected devices and exchange trillions of messages. AWS IoT core enables us to easily build and scale IoT applications like connected home to industrial solutions.
Talking about the security AWS IoT core provides automatic authentication when the device first get connected and enable end-to-end encryption throughout the connection. This means the data is kept safe and never exchanged between the connected device and AWS IoT core without user permission.
AWS IoT Core can be integrated with other AWS services like:
- Amazon Simple Storage Service—provides scalable storage in the AWS Cloud
- AWS Lambda—runs your code on virtual servers from Amazon EC2 in response to events
- Amazon Kinesis—enables real-time processing of streaming data at a massive scale
- Amazon Simple Notification Service—sends or receives notifications
- Amazon DynamoDB—provides managed NoSQL databases
Similar to the Azure IoT Hub, AWS IoT Core also supports HTTP, WebSockets, and MQTT protocol.
Key Advantages of AWS IoT Core:
- AWS IoT Core supports both standard and custom protocols. Using custom protocol can establish communication with the other devices even though they are using different protocols.
- With AWS IoT core you can easily onboard connected devices in bulk
- For secure connection among various devices AWS provides a device defender
- Alexa Voice Service (AVS) Integration for remote management of devices
Google Cloud IoT Core
Similar to the Azure IoT Hub and AWS IoT core, Google also provides IoT platform services within its Google Cloud Platform services space. Google Cloud IoT Core is a manage service that allows you to Cloud IoT core operates on Google’s serverless infrastructure which automatically scales in response to real-time events. Using cloud Pub/Sub, you can manage the coming from decentralized device to a single centralized system. Talking about the security, Google Cloud IoT core securely connect millions of globally connected devices through protocol endpoints using horizontal scaling and automatic load balancing.
Similar to other two platforms, Cloud IoT core also supports standard MQTT and HTTP protocols. This allows you to use your existing devices without many firmware updates.
Key Advantages of Google Cloud IoT Core:
- Google cloud IoT core allows you perform downstream analytics by publishing device data to Cloud Pub/Sub
- You can also perform ad hoc analysis using Google BigQuery or run advanced analytics and apply machine learning with Cloud Machine Learning Engine.
- With power of Google Maps you can locate the devices IoT connected devices in real time and track them with precision.
Evaluating Top Industrial IoT (IIoT) Cloud Platforms
An industrial IoT platform is a software that allows industries to securely manage all the connected things like devices, people, and system. While selecting the IIoT platform you should consider the following key factors like Device Integration Capabilities, Process Integration, Data Integration and Ecosystem Services. Many industrial players like General Electric, Siemens, IBM, PTC, Bosch, Hitachi, ABB, Cisco, and Schneider have developed application-specific IIoT platforms. Let’s briefly evaluate a few of them,
Predix is a platform as a service IIoT based solution developed by General Electric. GE has developed Predix for factories to directly collect data from devices and store. GE Predix allows you to optimize assets and operations, reduce unplanned downtimes and provides real-time operational intelligence.
For industrial companies MindSphere offers set of pre-defined packages with tailored capabilities. You can securely connect your assets to MindSphere with auxiliary MindShpere products such as Data Capture Unit or MindConnect Nano which allows you to gather and transfer relevant machine and plant data. Using MindShpere you can collect all kind of sensor data from moving cars to geographic data.
ThingWorx® enables designers and developers to create and deploy connected solutions for embracing Industry 4.0. Using AR and digital twin you can create efficient and error proof production processes. ThingWorx® generates alters for system or device failure and also monitors the connectivity and operations for improving productivity and avoiding unplanned downtimes.
Bosch- IoT Suite
Bosch IoT Suite is the open source-based software IoT platform by Bosch. It provides easy access management and allows you to visualize digital representations of the IoT connected devices. It enables you to visualize all the data coming from diverse sources into a single dashboard.
With the advent of digital transformation, businesses are looking to leverage IoT for smart manufacturing and Industry 4.0. We saw there are many IoT cloud platforms in the market that provides customized industrial IoT solutions for various applications like remote asset management, predictive maintenance and connected operational intelligence.
IoT is perhaps one of the fastest technology that business is adopting to connect millions of devices. We see connected devices in home, cars, industries and they day by day they are getting smarter and efficient. In this article, we have evaluated many IoT platforms to kick start your IoT deployment. Choose the one that best suits your technical, application and business requirements.
Location tracking, or simply geolocation, constitutes an integral part of human existence today. For individuals, it enables things like navigation, vehicle connectivity services, and more. Whereas for companies, geolocation plays far too many crucial roles, than it would be possible to list here. But as is the case with any technology, we have found a way to improve geolocation as well. Internet of Things is yet another formidable technology that has fundamentally transformed lives all over the world. But before we can explore what these two offer together, let’s understand what these two areas individual technologies.
Geolocation is what facilitates the ability to determine the location of people, objects, and more. IoT, on the other hand, is a network of connected devices. Those are the simplest, most basic definitions of the two stars of this article. These two find common ground in the endeavor to enhance processes, efficiency, and more across businesses, governments, and individual lives. But the world is in the early stages of leveraging this potent combination of geolocation and IoT. And given the advantages one stands to gain from this union, experts are convinced geolocation will, sooner than later, become an essential facet of IoT.
Let us walk you through some of the possible benefits and advantages that explain why and how that will come to be.
- Bringing IoT together with geolocation will do away with the need to individually implement geolocation functionalities and services for every possible implementation. How? It is quite simple, really; combining them will help cut down the costs associated with development as well as substantially improve the potential of economies of scale.
- Given just how robust each of the two aforementioned technologies are, together, they will be able to iron out any issues and challenges. It is associated with not only integration but also the interoperability of location sensors and other geolocation tools with various aspects of IoT platforms. Here’s an example to help you understand better: Integrating a position sensor and maintenance sensor with logic tailored to the company’s workflow. A health care company can easily tend to maintenance jobs of various machines even if its campus and facilities are spread acres and acres of land.
As time and technology progress, we went from simple location tracking services and location-aware devices to integrated location-based services. It makes use of data and analytics enhance and better use the concept of location awareness to drive better processes across businesses. And as more and more companies not only embrace IoT but become heavily reliant on it, it won’t be too long before the two would become critical to ensuring each others’ efficiency.
But before you set out to implement this powerful combination for your location-based mobile apps, it is imperative to find the tools that not solely work well with each other but also drive better results. This seamless interoperability is essential to ensure they can be leveraged with equal ease across a diversity of use cases, old or new.
IoT in Healthcare is believed to achieve that envisioned ‘Smart Healthcare’ as it led to establishing a digitized healthcare system. What could we expect from Smart Healthcare with IoT? Connected medical resources and healthcare services as experts in the industry believe.
However, is it feasible? Alternatively, are we still talking about an imaginary world of healthcare services and solutions?
Although we know the healthcare industry suffers from many healthcare inefficiencies, IoT is considered as a game-changer for the domain. Convenience, efficiency, and automation are all IoT stands for.
Did you know that Healthcare in America is grossly inefficient? Due to this, the cost of healthcare services is high.
However, technology got the back of Healthcare and continually pushing up the sector to deliver better services with higher efficiencies.
Recently, the healthcare industry has gone through a significant transformation with the impact of IoT. According to Accenture, the forecasted value of the internet of healthcare things is expected to be $163 billion by the end of 2020.
IoT in Healthcare has shown to add value to critical healthcare operations. It is also believed to offer greater efficiency and accuracy in the operations of healthcare providers.
Let’s look at significant areas of healthcare services where upgrading systems and processes with IoT could bring significance is delivering value.
- Remote Health Monitoring
According to a stat, remotely monitored patients be 36 million by 2020, up from 4.9 million from the year 2015. World’s population has already become dense, and in that healthcare costs continue to increase. Individuals, as well as organizations, are seeking new ways to reduce costs and improve patient care.
In a scenario like this, IoT emerged as an excellent tech help for the industry. Using IoT, the healthcare industry is becoming capable of providing new services and solutions through remote health condition monitoring. Devices are in-built with sensors and actuators and are capable of collecting and sharing digital data to other remote locations using the capability of cloud. It is helping the industry enhance the patient experience as well as the efficiency of health professionals.
- Emergency Notification Systems
Innovation in IoT increases the number of connected devices, and emergency notification systems are one of its results. Due to connected devices and convenience of data sharing in real-time all due to IoT, today’s emergency notification system helps Healthcare overcome the two most essential in-efficiencies: speed and reach.
Reach is essential in medical assistance. IoT not only helps healthcare institutions and professionals to act proactively but also enable them to speed up the assistance processes.
Smartphones, along with innovative apps, are the most convenient way to collect health data and provide care. Besides smartphones, medical devices connected using a wireless networks also considered a vital health tool. However, one can look up to data and control and give command using the applications provided in mobile devices.
With the help of it, the patient can be monitored at home. IoT in Healthcare allows medical practitioners; on the other hand, the ability to set a patient-specific monitoring threshold as well as machine response parameters. It helps the practitioner look up to his patient not just from a remote location but also take action as per the change in the patient’s health.
There are several advantages of mHealth, such as remote patient monitoring at home, out-patient tracking, home nurse scheduling, remote diagnostics, and lots more.
- Wearable Heart Monitors
Heart rate is essential about your overall health. Heart monitoring is one of the easiest ways to gauge how well your body is working.
However, people usually avoid giving notice of irregular heartbeats or pain in the heart as they have to visit the doctor. However, today, smartwatches and fitness trackers are built with technologies like heart rate sensors. It has made it easy to keep tabs on your ticker without seeing your doctor. However, they’re starting to do a lot more than track your data.
- Point-Of-Care Medical Diagnostics
Point-of-care diagnostics though offered portability but lacked in delivering personalized and quick care — however, Point-of-care medical diagnostics with IoT.
Lead the industry towards smart and connected point-of-care that ensures personalized care and complete security at a global scale. It represents an excellent opportunity to provide sensitive, rapid, low-cost connected diagnostics through point-of-care medical diagnostics.
IoT not only helps patients and medical practitioners but also affects health insurance processes for better.
Connected devices have disrupted healthcare insurance completely. IoT based monitoring systems let the experts determine the trend in Healthcare. It enables them to come up with new strategies, i.e., replacing long-term health plans with short-term solutions explicitly designed as per individual needs. However, it needed precise data sets, and here, IoT in healthcare devices helps them collect. Having precise data, health insurance companies fine-tune their policies, and it also minimizes risks of losing funds due to unforeseen scenarios.
How IoT Exactly Helps?
Insurance firms are using monitoring sensor-based solutions which are today upgraded to perform IoT functions. These devices or solutions are biosensors, connected health devices, your Fitbit or other wearables along with mobile apps as a product in their insurance policies for monitoring and tracking your health factors, including customer behavior, identify kind of care needs to be served to a particular patient/customer.
This also helps policymakers design the bill accordingly and help them meet their target customers as well as their needs.
Having intensive and accurate data-set collected from IoT-powered health devices, health insurance companies are comprehensively stressing on the following processes for being predictable and forwarding with their policies and solutions foster customers spent more and more due to personalization.
Monitoring – Companies leverage IoT solutions and track patient behavior closely, such as their minute’s activity, and habits of day to day life. Smartphones, wearables, and other connected devices help companies significantly to collect data. They later consequently analyze the data to come up with predictive decision making.
Care optimization – Insurance companies also work closely with healthcare givers. You only get money once insurance claims are approved by the medical institutions.
IoT in Healthcare enables insurers to optimize your complete care. It helps customers avail exciting discounts on insurance premiums. Companies look up to IoT data along with analytical tools, and AI applied tools to have aggregated data.
With the help of analytics, insurers can quickly tracks which clinical processes would have a better impact on the patient’s wellness.
Payment – Payment systems are highly complex and often consist of multiple payers, insurance firms, government, and patients. In such scenarios, the industrial IoT system that provides real-time data as well as accessibility to enable care providers to get compensation for their services on time.
Having IoT in Healthcare, the industry can answer and overcome from in-efficiencies, such as:
- Waiting Time
IoT in Healthcare could significantly help reduce waiting time to get care. Availability of IoT powered devices lets the patient stay at home during the entire process. Even they don’t have to pay for an in-person visit to the doctor.
With IoT, a patient no longer needs direct medical attention; thus save himself from the stress of transportation, waiting times, and unnecessary additional tests. Therefore, no waiting time for healthcare assistance.
- Lost Time Accounts
A medical practitioner can’t recommend or suggest any healthcare support or service without looking into medical reports. Medical reports are essential, but it is challenging to keep them save and carry all the time. IoT that let the medical devices get access to data in real-time allows medical professionals to look up to patient’s information and reports.
It eliminates Lost Time Accounts from the process, thus fosters faster health support.
The future of Healthcare undoubtedly include IoT. Also, it is inevitable that IoT revolutionize the healthcare industry in several unexpected ways.
Studies believe that in 2020, the number of IoT devices will cross the 50 billion mark. If the general notion of technology’s continued evolution wasn’t enough to demonstrate just how advanced human existence has become, that figure is sufficient to convince most people. And the fact that companies across the globe have become heavily dependent on such technology further serves to demonstrate that technology continues to play a vital role in shaping various aspects of the business world. This notion extends to the concept of web development as well, where a plethora of novel technologies, especially IoT, are being used to offer increasingly exquisite experiences. But even as IoT is helping companies take their web development projects to the next level, there’s another resource that offers scope to take things up a notch or two: PHP. Why PHP? Well, because it is among the most preferred tools in the world to assist in web development endeavors. Put 2 and 2 together, and what you get is a whole new world of previously unexplored opportunities.
Let’s take a look at how that can be achieved.
- PHP: A server-side scripting language, PHP has long facilitated the development of various web-based offerings, including websites, apps, and more. It is always in sync with the latest developments in the world of technology makes it a highly resourceful tool for ensuring that web apps and websites can keep up with the times. Yet another reason that makes it such a crowd favorite is that it can be used with a variety of modern database management systems, such as MySQL, Oracle, and Postgres, among others.
- IoT: Internet of Things is much more than just wearable devices like smartwatches. It encompasses a wide variety of products and devices, including cars, smartphones, laptops, and, now, even household appliances. All these devices are connected to the internet and transfer data, which is then analyzed to serve distinctive purposes. Say, it can be used to identify patterns, derive insights, and more.
- PHP + IoT: As it is clear to see, individually, both PHP and IoT have a lot to offer. But one can’t merely integrate them. There is a method — one that needs both specific hardware as well as software. Here are some recommendations for what you will need.
- Hardware: The market has plenty of options to offer in this regard. But let’s focus on the most critical bit, i.e., the hardware platforms. The basics include sensors, appropriate electronic parts, Arduino, Onion IoT, and more.
- Software: To take care of the programming part of your endeavor, some of the essential recommendations include Firmata. It is a reliable tool to help you with the project with Arduino.
Despite the value IoT offers and its projected growth trajectory, folks around the world are still finding their way around it. And if you find yourself needing such assistance too, the best thing we can recommend is getting in touch with a trusted PHP software development company that can give you the necessary guidance.
Internet of Things (IoT) is becoming one of the most popular technology aspects that get implemented practically. As IoT promises to provide excellent services and delivers support for powering the interconnected devices and automate the systems without any human intervention, the use of IoT is promoted and encouraged among businesses and individuals alike.
And this has given rise to the enormous growth of the IoT industry that leads many companies to start providing services in the same sector. The IoT industry is estimated to grow around 1.6 trillion U.S. Dollars by 2025. The continued progress of this technology leads to increased development and asks for excellent support. And developers can benefit the most from it.
IoT Development: Challenges and Solutions
The resources required for developing IoT-enabled devices are accessible to reputable firms and popular companies who hold the power to invest time and money equally. However, there still are frameworks that help in developing excellent IoT-enabled solutions without costing much.
IoT development with excellent resources still has to answer challenges and issues that any normal development faces. Lack of enough skills, security and privacy concerns, device compatibility, and more are the challenges that IoT development usually suffers from.
However, using the excellent support that multiple IoT frameworks deliver, it becomes easier to overcome these hurdles and produce the best results. While you can always rely on delivering exceptional results, the use of multiple frameworks provides excellent services that developers are looking forward to.
4 Excellent Open Source IoT Frameworks Every Developer Can Use
Here are the best open-source IoT frameworks that can be used to deliver excellent IoT-enabled solutions that encourage extended use of the IoT networks.
ThingSpeak allows for IoT analytics with its cloud supportive features that make it easier for you to analyze the live data. It supports MATLAB code that a developer can write and perform actions on the live data streams. It includes different functions like data visualization, preprocessing, analysis, and more.
The functions included in ThingSpeak are:
- Location Tracing
- Information distribution through public channels and gathering through a private channel
- Includes cloud support
- Online analytics of data to identify patterns and relations
- device executions supported through command schedule
- Social sharing support through Twilio and Twitter
- Alerts for every reaction
It allows one to prototype an IoT system in advance before they start the development. The analytics and data generated through ThingSpeak are incredibly reliable as the tool enables performing the best operations and delivers excellent results to make your IoT system full proof. The tool is open-source, and the latest update R2019b has been released in January 2020.
DeviceHive is one of the popular and out-of-the-box tools most developers are searching for. The tool is open source, and hence there are many contributors ready to guide you through the usage of it. The prices are decided based on the customer requirements, but the performance of this tool is enough to explain its wide popularity.
DeviceHive includes functions that encourage excellent solution development. The functions and features offered by DeviceHive are:
- It supports WebSocket APIs, REST APIs,and adds MQTT API as a plugin.
- Allows testing the installation- using Swagger, and API developer tool.
- Includes support for multiple client libraries- Node.js, Python, Java are the primary ones supported through DeviceHive.
- Supports Android, iOS devices and other libraries
- JSON messages are used for efficient communication among devices.
- Includes support for Docker and Kubernetes installation and deployment.
DeviceHive is ultimately an open-source micro-services architecture encouraging platform that allows to control and test IoT systems under different circumstances. DeviceHive can be customized as per the business needs, and charges are calculated as per the requirements. Moreover, it includes support for public, private, and hybrid clouds and makes the management easier than ever.
Thinger.io allows for connecting and prototyping the tools that are added in the IoT system a developer is developing. The tool provides excellent support to every software development company that aims to create an IoT system by connecting multiple devices altogether.
The features included in Thinger.io are:
- Support integration of multiple devices of various manufacturers.
- A freemium account for a lifetime that allows free access for prototyping, which later can be put in use by using premium servers.
- Most of the code modules are available in Github for free with MIT license. Therefore, it becomes easier to start from the basics.
- Easier programming, as only a few lines of code, is required to connect devices in the network and form an IoT system.
- The platform is entirely white-labeled. Hence, it can be updated according to your requirements; colors, fonts, names, and more.
- Includes cloud support.
- Allows real-time data retrieval and analytics to perform better operations according to the needs.
Thinger.io is an excellent tool that provides support for your every IoT need. The platform helps scale and manage the products of the IoT system and prototypes everything to allow efficient management and conclude the right way to perform the programming. It will enable multiple plugin inclusion that builds an extensive system supporting every need and creating a great impression over the users.
Zetta is an open-source API-dedicated framework that is first of its kind and delivers excellent support for building IoT infrastructures. It helps manage the continuous streaming of data to provide excellent information exchange services. It includes a data visualization facility, but the primary advantage of using Zetta is its support for reactive programming.
There are multiple features integrated into this platform to support excellent data exchange:
- It comes for free
- Easy deployment among numerous cloud vendors
- It can display notifications and can fire queries
- The data collected can be shared among other analytics platforms easily
- Based on Node.js and hence, is easier to operate
Zetta is an IoT dashboard that is not very popular for development practices among the developers. However, the followers and users of Zetta are extremely satisfied with the performance of this tool. As it produces the best results for the IoT universe and its applications, Zetta is one of the favorites of developers who have already used it once.
There are many open-source frameworks available in the market apart from the discussed. However, based on the choices of expert developers, these tools are great at providing excellent results without demanding higher amounts. The primary benefit of using open-source tools is that there are contributors who support and promote the use of them by introducing changes and solutions to problems.
However, data security concerns remain questionable when using these tools. But the performance delivered through these tools is excellent. Based on the requirements and deadlines assigned, these tools provide excellent support and encourage the profound development of solutions that promote the use of IoT in everyday life.
Introduction to IoT( Internet of Things) :
Reasons to protect IoT App Solutions:
Integrate security in the code:
Proper Authentication and Identification:
Secure Payment Transactions:
Secure the App from Backend:
Implement App Transport Security - ATS:
Deal with unknown Threats:
Some of the Consequences:
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