Initially, process engineering sought to adhere to lean design principles. Processes would be documented, reviewed and improved by removing wasteful steps and adding scripts where possible to eliminate human intervention and potential errors. Upon process improvement Robotic Process Automation(RPA) started largely as a tool to mimic those repetitive, rules-based front-end workflows.

After the success in many sectors, RPA is being rapidly adopted across industries because of the multiple benefits it offers. These are some industries which are already benefiting the most from Robotic Process Automation(RPA):

Financial Sector

Operational Efficiency

RPA plays an important role in operations. In order to automate activities, RPA can do high-frequency tasks while reducing processing time and 50-70% cost will be saved. Since RPA is easily implemented into the existing administrative infrastructure, It helps increasing productivity by reducing human cost and gives more flexibility and control over the financial workflows and business processes.

Risk Management

Compliance and Risk management is automatically taken care predefining process and every step is logged which is not in case of human interaction with applications.

HealthCare Sector

Higher Throughput

With the help of RPA, healthcare will be better equipped to deal with the growing volume of patients that are difficult to deal with when managed entirely by humans. While automation handles a larger number of patients, medical personnel can focus on other important areas or work.

Improved Quality and Consistency

Robots can do laborious repetitive work 24X7. They can provide consistency in care activities. An automation in the areas of medical records, order entry, claim processing and decision support is linked with a reduction in complications and costs in order to improve quality and provide consistency.

Insurance Sector

Underwriting

Underwriting involves collecting all of the necessary information from all of the various sources in order to properly evaluate the risks associated with any specific policy, and it’s generally a process that takes quite a long time, one that, in fact, causes millions of people just to give up before the process is even complete. Since RPA can automatically collect and process accurate data as it relates to the applicant from both internal and external sites very quickly, the entire process is dramatically expedited.

Claim Processing

The claims processing is completely dependent on process speed and accuracy to meet customer expectations. It requires the collecting of data from various sources, which is also typically a long and manual customer service operation, RPA is there to reduce the process steps, amount of time spent on performing repetitive processes and human errors.

Drop us a line, If you are willing to know more about RPA and how we are helping these industries to automate their processes.

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

By : Sampada

Published on Nov 13, 2024

App development Platform Engineering

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.

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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