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

Growth of InsurTech in Southeast Asia

insurance

As the economies become digitally empowered, business models are also being updated constantly to keep up with the dynamic customer expectations. Long gone are the days when the customer would worry about pleasing the insurance agents to keep in sync with their policies.

Today, InsurTech is all about digitally empowered insurance businesses and strategies and availability of online insurance solutions to customers. With information available at their fingertips, customers are now, reaping the benefits of multiple options and easy reimbursements with practically no human intervention in a few cases.

After FinTech, InsurTech had been creating a lot of excitement in the Western world. Now, the focus is shifting towards Asia. With a population of over 4.4 Billion, Asia is sure to play a huge role in the trends of growth and development. Singapore and HongKong are already betting on the Tech avatar businesses in insurance.

The Current Phase

According to a report by Ernst and Young, the trends for an InsurTech market in Southeast Asia will keep changing rapidly over the next three-to-five years pertaining to the adoption of changing technologies by businesses. The conventional business roles and models like paper record maintenance and manual verification are expected to be eradicated completely.
With over, 40% of uninsured, the middle class population in Southeast Asia. The scope of penetration for digitally charged insurance businesses through technology mediums like Smartphones is huge.

About The Expected Change

Business startups in the US and UK have attracted a lot of venture capitalists investments in the recent past. As a ripple effect of the same, South Asia also awaits to cash in on the buzz. Since, Asia, is one continent with maximum growing untapped population, the opportunity it represents is also tremendous.

Banks in financial hubs of SouthAsia, Singapore, and HongKong have already received big investments in InsurTech: DBS bank from Manulife of 1.2 Billion dollars, Citibank from AIA group 800 Million dollars and Standard Charted from Prudential (UK) 1.25 Billion dollars.

Singapore and Hongkong are providing a host of development and breeding options like incubators, insurance labs and more for InsurTech startups.

China is also seeking to build up big online platforms to provide various insurance options personal, medical, auto online. Malaysia has already started reaping the benefits of such platforms by slowly reducing the need for live agents.

The business models are completely changing. A lot of eyes are set on India, by financial investors and interested insurance companies for their growth in the world’s largest growth market.

What Does The Future Behold?

With Web becoming the business place for the insurance market, cybersecurity will play a huge role. Until completely secured businesses are established, the maximum potential of a digital business model cannot be accomplished.

Earlier, a lot of traditional businesses could not venture into Asian markets due to the regulatory risks involved. But, now, as power lies in the hands of machines, the business market is expected to explode exponentially.

Source-

  1. http://www.channelnewsasia.com/news/business/dbs-manulife-tie-up-takes-aim-at-asia-s-growing-insurance-market-8201936
  2. http://www.datacenterjournal.com/ten-things-need-know-cybersecurity-insurance/

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