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

The Biggest Insurance Payouts in History

When the unforeseen strikes, insurance practices everywhere are left holding their breath as they lie in wait for the dreaded number – the damage loss estimates – to come in. These numbers are astronomical, to say the least. Almost 70% of all business financial losses arise from only ten circumstances – just ten! with the single largest identified cause being losses resulting from fires followed by aviation crashes and human-related errors.

Last year saw several natural catastrophes that triggered high insured loss amounts, including the California wildfires, and tropical cyclones that passed through Japan, the Philippines, the US and China. Now, insurers around the World are growing increasingly anxious, given the alarming frequency of occurrences in the past decade alone. The economic costs of last year’s 394 natural catastrophe events came up to $225B with insurance covering $90B of the overall total, creating the fourth costliest year on record of insured losses!

Munich Re NatCatSERVICE

Regrettably, when the unforeseen strikes there is a severe loss to both life and property – and hence the substantial loss claims they create. While these figures are in no doubt staggering, they are merely to illustrate the incredible gap between those described above and the largest insurance payouts ever recorded. Here are the top five payouts, in order of value.

  1. The Tohoku Earthquake & Tsunami of 2011
    In March of 2011, at closer to three following noon, a 9.1 magnitude earthquake struck off-the coast of Japan. Within the next 30 minutes, while the aftermath of destruction was still being felt, 133 ft. waves rocketed into the sky from the ocean and travelled 10km inland, taking the lives of over fifteen thousand people. While the damages, for the earthquake alone, were estimated over $210B, only $35B was insured and ultimately paid out. The total combined payouts could be much higher.
  1. 9/11 Tragedy
    One of the most infamous and tragic terrorist attacks on a nation’s sovereign soil that will forever be entrenched in mankind’s memory. Soon after, ‘terrorism risk insurance’ became incredibly risky to cover for insurers. Congress reacted by passing the Terrorism Risk Insurance Act in 2002, which provided an assurance of government support after a catastrophic attack. The tragedy caused far-reaching damages that were difficult to estimate, triggering insurance payouts as much as $40B.
  1. Lehman Brothers Collapse
    At one point, the fourth largest investment bank in the U.S, the 158-year-old firm declared bankruptcy in 2008 after their involvement in shorting subprime mortgage loans through mortgage-backed securities sold in the secondary market from where the risk spread everywhere else. They filed for Chapter 11 protection after an exodus of most of its clients, and the devaluation of its assets by credit rating agencies. The insurance payouts to creditors, taxpayers and private investors totalled over $100B.
  1. The Three Hurricanes of 2005
    Three fierce, category-5 hurricanes: Katrina, Rita, and Wilma – hit the U.S., along with 28 other storms in 2005 causing massive damage across the lower half of the country. The storms moving at speeds exceeding 205km/hr caused damages to the tune of $169B. The insurance payouts for Hurricane Katrina alone totalled $45B. It is still one of the costliest natural disasters ever recorded in American history, with a total insurance payout of around $130B.
  1. The Financial crisis of 2008
    The global recession of 2008, that spread worldwide from the epicentre of the financial collapse in Wall St. triggered the greatest losses to both companies, individuals and families ever seen in the last hundred years. There is said to be a direct line between the actions of Lehman Brothers in the subprime mortgage crisis to the financial bedlam that endured worldwide, soon after. The payouts incurred by American insurers during that time, although a financially guarded secret, is believed to be as much as $21T – yes that’s T as in, a whopping ‘Twenty-One Trillion Dollars!’

Alliance Global Corporate & Specialty Report 2019

While $89B of the overall insured total of $90B was borne from weather-related disasters, insurers are actively monitoring climate change reports to take in a bigger view of the changes the planet is undergoing – following two back-to-back years of mega catastrophe-event losses.

The ‘Insurance Protection Gap’ or uninsured losses (the lower this value, the better), is a global problem that affects emerging nations and developed countries alike. Properties and economies with high insurance penetration recover much more quickly after a natural disaster than economies that rely on governments for their recovery.

The re/insurance industry continues to withstand the payouts backed up with $595B of capital. However, their focus will be on managing the cost of climate change and weather events by helping to further reduce the current protection gap of 60%.

References & Further Reading
https://www.agcs.allianz.com/news-and-insights/news/global-claims-review-2018.html

https://www.munichre.com/en/media-relations/publications/press-releases/2019/2019-01-08-press-release/index.html

https://www.insurancejournal.com/news/international/2019/01/22/515420.htm

https://www.mckinsey.com/industries/financial-services/our-insights/claims-in-the-digital-age

https://www.agcs.allianz.com/content/dam/onemarketing/agcs/agcs/reports/AGCS-Global-Claims-Review-2018.pdf

https://www.insurancejournal.com/news/international/2018/01/17/477266.htm

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