Robotic Process Automation(RPA) is a software that is designed to mimic the human back-office activities, especially for the repetitive and dreary tasks. RPA can perform these tasks at a higher pace effortlessly and effectively saving a lot of time, that can be used to perform other activities that need human strength like emotional intelligence, reasoning and customer interactions. The primary goal of RPA implementation is to streamline the tedious tasks of enterprises and automate as many processes as possible while leveraging the benefits of AI and machine learning tools.

Companies are adopting RPA to reduce the staffing costs and mitigate chances of human errors. The scope of RPA and the extent to which it can be customized is pretty extensive. It can be programmed to perform simplest of the tasks like sending an automated email to performing complex business processes.

Here are the few ways in RPA is revolutionizing IT processes:

1. Adoption in all the realms of organization:

Organizations are adopting RPA not just for internal processes but also for external and customer-oriented processes. For example, the auto-response feature for the incoming emails is one field where RPA implementation can offer excellent productivity output. Several companies have already implemented RPA, and it has proven its potential, encouraging other firms also to embrace process automation.

2. Integration with other tools:

RPA implementation is a rich area for innovation and companies has already realized that they can reap more significant benefits from RPA when integrated with other technologies. In the next few years, one can expect that RPA together with cognitive automation will be capable of performing more complex tasks that are possible only by humans today. The term RPA might be replaced by SPA (smart rule automation) which lays the foundation of smarter business processes or intelligent automation process.

3. Artificial intelligence:

The basic RPA implementation by companies involves automation based on pre-defined conditions. The future version, i.e. RPA 2.0 will be integrating the concepts of AI and other machine learning tools making RPA much more than just a rule-based automation technology. To what extent it will get revolutionized will solely depend on the needs of individual organizations but the impact of RPA on the business processes is expected to be huge.

4. Capabilities of Bots:

Bots are capable of using the operating system just like humans. They can be programmed to open an email and send a response or log into an application or create files and folders. They can further be made to do data processing and perform functions like making calculations, following if-else conditions, extracting data from documents, scraping data from the web and a lot other things.

Types of RPA:

• Attended Automation: They are deployed at places where automation is possible but with human intervention. The assigned user will launch the bot to perform several functions automatically based on some pre-defined conditions. In case of an anomaly, the bot may ask the user for assistance.

• Unattended automation: They work in the background and are best for back-office employees. Most of these bots are triggered when new data is entered into the system and needs data processing for marketing and regulatory needs.

• Hybrid: Both the attended and unattended automation are combined for the front as well as back office operations. It helps to attain end-to-end automation of processes.

The hula-boo around RPA is not meaningless and is of utmost importance for all the enterprises. Where big firms are already preparing for the next level of automation other companies are also not hesitating to take the plunge into the RPA pool. In the next decade, RPA will not just be a fancy term but will become the conventional need of the businesses.

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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