Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(8)

Customer Journey(17)

Design(43)

Solar Industry(8)

User Experience(66)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(29)

Technology Modernization(7)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(38)

Insurtech(66)

Product Innovation(57)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(143)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(19)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

IoT World is getting trendier and fashionable with these Latest trends

xl-2016-internet-of-things-1

Let your treadmill pass on the data to your wearable hand devices that could be read on your smart phone with visual and analytics. Or how about you casting your mobile to Office projector while all are having their evening snacks and enjoying live cricket?

Let’s see what are the latest trends in IOT.

Welcome to Connected World!

Research experts like Gartner Say 8.4 Billion Connected “Things” Will Be in Use in 2017, Up 31 Percent From 2016. On the other hand, firms like Intel predicts that there would 200 million connected devices by 2020. With such a rapid growth startups and big firms are keen in observing the space. So, here we bring on the latest trends shaping the world of IoT [ Internet of things].

An Increase in Miniscule Products

Products like sensors and cameras may be little in existence, but the power they hold makes them sustainable in the long run. Smart homes, Smart cars, climate control, home security are some of the aspects that need these sensors and devices. In future, we may see them as default items in IoT world, but for now, they are the stepping stone and would create an impact in IoT domain.

Evolution of IoT Squares 

A very peculiar case of IoT is that the Amazon Prime video cannot be cast via Google Chormecast, the user needs to purchase Amazon Firestick if he must enable casting. With such a wide range of hardware and software list, users can’t be loyal to just one firm. Hence the need for gateways that allow software’s, hardware, apps, devices of various vendors to connect, interact and communicate without the need to change it.

These markets would not only help the users but the firms who want to want to automate their legacy equipment. They could just tap into industrial drivers, hubs, data visualization, monitoring and data mapping modules and reap the benefits.

Let the Data Do the Talking

Big Data is not an emerging trend anymore, but a default technology adopted by most of the businesses. However using Big data with IoT cloud could help many firms in making an informed decision. Just for example an insurtech firm could gather the driving behavior and pattern of his customer using sensors and could design a customized policy that suits his needs.

IoT Analytics is an upcoming trend, and many of the start-ups are eager to provide the optimum solution to other businesses.

Integrate IoT with Machine Learning

Machine learning is another emerging trend that experts are confident would change the future. But its benefits could be manifold if it’s integrated with IoT. Mantra’s innovative solution XAVI is the best example here. Just imagine you entering the home after a long tiring day and wished someone could switch on your lights tv and air conditioner. XAVI is a genie that allows you to do so with your voice or through a mobile app. As you get comfortable on your sofa, you could issue a command to list all English movie to be aired in next 15 minutes, and in no time, you could have an exclusive list of it on your tv screen. For more features click here.

It would also help firms in gathering data of individual usage patterns and would assist them in building more cognitive technology.

Security the Major Opportunity

With every new technology first question posed is – Is it safe? While many people believe interconnection could make systems more vulnerable to attacks, the opportunists believe it as a space to explore and come with a more robust solution to keep devices and data protected.

Read this article as well to get more insights on IOT

 

Cancel

Knowledge thats worth delivered in your inbox

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

By :

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.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot