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What’s going to be big in chatbots for 2019

The chatbot market is predicted to reach a whopping 1.25 billion US dollars by 2025. These figures are not just mind-boggling, but they are proof that shows the relevance of chatbots today. Also, 45% of end users have already got comfortable with chatbots, and they prefer chatbots over other media for communication.

Chatbot in 2019

So, we can expect that by 2019 chatbots will reach another level of accuracy and efficiency. Here are the trends to watch out for chatbots in 2019:

1. Intelligent systems:

Chatbots are the future of impeccable customer service. But to make it at par with human customer support it needs to be super interactive and smart. Companies deploying chatbots are continually working on optimizing their bots so they could be an equal replacement for a human counterpart. It is predicted that in the next few years conversational AI-first” user experience, or CUX,  will become mainstream in most organizations. CUX is an advanced version of UI  which is designed to help and improve the user experience so that they can reach their end goals faster.

2. The rise of website chatbots:

By the next year, one can expect that several small, as well as medium-sized businesses who have not yet implemented chatbots, will look forward to adopting it. The emergence of third-party companies that help the organization to develop and build the industry-specific chatbots at affordable prices has made the adoption of bot technology easier. Chatbots are a great source to enhance the user experience and provides a 24*7 customer support as such all businesses need it.

3. Stricter guidelines:

The crux of chatbots is DATA and more data. The introduction of GDPR guidelines this year has made the usage of data restricted. Even with stricter guidelines, the importance of data will not plummet, and it will only increase.  The companies will need to find responsible methods of data processing so that they adhere to the new guidelines and develop GDPR-compliant solutions.

4. Chatbots beyond customer support:

The coming year will witness the use of chatbots for several more processes such as the B2B and B2E business workflows. Some existing examples include the chatbots for CRM, Intranet and IT help desks. As cited by a leading company Juniper Networks that chatbots can reduce the business costs by $8bn by 2022 and 2019 will witness some fantastic advancements in that direction.

5. Mobile app saturation:

The mobile app market is saturating, and in the coming years, it is said that 50% of companies will focus their resources and finances on chatbots rather than mobile apps.

Reasons why chatbots are more preferred than mobile apps:

    Chatbots are more efficient and intelligent and are a better way to reach customers.

    Smartphone users do not want to exhaust their limited memory space with unlimited applications.

    75% of Smartphone users use some messaging app.

    The UI elements of an application or a website is a collection of information. If all of this can be packaged together and provided in a messaging app, it will be much easier for the users. Wouldn’t it be great if you can manage everything from booking a movie ticket to buying groceries through a single interface?

    Also, chatbots do not need a download you need to message them through a messaging app and ask them to perform a function.

We cannot ignore the immense benefits that chatbots have to offer. The exploration around chatbots is unlimited, and we will see them unravelling one at a time. The experience that chatbots provide whether it is finding a travelling location or getting information is super smooth and comfortable. The personal touch that chatbots offer is another plus point that makes chatbots a perfect fit for businesses.

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

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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.

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