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IOT Trends for 2018

 

We spoke with a number of IT leaders and industry experts about what to expect from IoT in the coming year and what could be the latest trends for IOT which will dominate 2018.

Following are the Internet of things trends to watch out for in 2018.

1.The IOT industry will bring a changed awareness around security and risk:

Security concerns will be high on the list. We have reached a point in the evolution of IoT when we need to re-think the types of security we are putting in place. Have we truly addressed the unique security challenges of IoT, or have we just patched existing security models into IoT with the hope that it is sufficient?

IOT presents a different kind of risk. Businesses need to understand that sensors and machine-to-machine communications are also stored in the cloud. In particular, facilities implementing devices connected to the IoT need to think about communication and the security protocols between devices: sensor-to-sensor communication, sensor-to-gateway communication, and updating and maintaining all on-premise equipment to better secure their data.

Tom Smith is a research analyst for DZone.com and he queried these IT professionals to get their insights on predictions for 2018. Here’s what IOT experts shared their thoughts on IoT trends for 2018.

IoT security will continue to dominate as a major concern, and I would expect the rise of several IoT-driven platforms to rise to the surface in an attempt to address and manage this. Says Lucas Vogel, Founder, Endpoint Systems

My hope is that there will be some adopted regulations around IoT security and compliance, otherwise, there will undoubtedly be more frequent and massive attacks. The fully-connected home will move closer to being a reality, and there will be unique solutions that address actual needs instead of just being “internet-connected”. Says Mike Kail, CTO, CYBRIC

2. Businesses will need to embrace the implementation of edge and cloud computing: 

Edge computing, also known as fog computing, will continue to rise. The ability to run software at the edge is turning out to be one of the most promising accelerators of IoT adoption, given the cost savings and the ability to quickly achieve largescale systems.

3. Connectivity Management: 

Another exciting new area involves the management of whole IoT systems or solutions. Device management and connectivity management has been around for several years already, but now that the pieces of IoT systems are coming together to form whole enterprise-scale solutions, management of these solutions has become higher up on the “tech wish list” for organizations.

4. IOT vs IIOT:

In addition, the separation between consumer IoT and Industrial IoT is becoming clearer all the time. One key distinction that is now apparent is that consumer IoT can often focus on greenfield installations but IIoT must enable brownfield installations. The investments in systems and equipment that were made by industrial firms over the last decades will continue to be in place and will need to be incorporated into IIoT solutions.

We’re seeing a trend towards a lot more IIoT use cases. As we move into 2018, we will see a much higher adoption of industrial IoT where sensors are making a big impact in the manufacturing, automotive, aerospace and engineering sectors. Other areas where we expect greater uptake of IoT systems include shipping, retail, agriculture, and healthcare. This expansion will trigger a need to hire many more IoT professionals and will likely see the rise of many new types of IoT specific roles within companies.

Many verticals still have business operations that involve manual observation of equipment status, inventory levels, and other key metrics. Where there is currently manual observation, there may be a great opportunity for a high-ROI project involving IoT. Some verticals that have a lot of manual observations are Oil & Gas, Energy Distribution, Supply Chain, and Telecommunications. The repeating theme is high-value infrastructure that is spread out geographically.

Thanks Kilton Hopkins, IoT Program Director forNortheastern University-Silicon Valley and the CEO of IOTRACKS, for providing your inputs to this article.

 

 

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Why Netflix Broke Itself: Was It Success Rewritten Through Platform Engineering?

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Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform. 

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Source: getport.io

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization:  Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

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