Microservices in DevOps: Architecture, Benefits & Challenges

In 2025, more and more software solutions migrate to a microservices architecture. Partly because traditional monoliths can’t handle modern deployment speeds. Partly because cloud costs spiral when entire applications scale for single features. Partly because different teams want to use different technologies without conflicts. Partly because debugging becomes extremely complicated when millions of lines live in one codebase. But nowadays, both developers and business executives recognize that this shift isn’t just a technical trend. In many cases, shifting to microservices becomes more of a survival necessity.

There are several good reasons for this. One of them relates directly to our decade-long expertise. This reason is quite simple: microservices play perfectly into DevOps automation, meaning faster deployments, better resource optimization, cleaner monitoring, and fewer system-wide failures. With a microservices architecture, each individual service gets its own testing, deployment, and monitoring pipeline. DevOps automation services become more precise because now they target smaller, well-defined components instead of massive codebases. 

So, yes, microservices and DevOps are highly compatible things. But how exactly does microservices architecture work? What makes microservices so different from the traditional approach to building applications? How do DevOps teams actually manage dozens of small services instead of one big application? What is the real role of microservices in DevOps? And most importantly, what does this mean for your project timeline and budget? So, if you still don’t know much about microservices and DevOps, join us, as today, we’ll demystify all of this using simple, clear language that cuts through the technical jargon. 

We covered microservices architecture extensively in our separate article about microservices in eCommerce, where we explored this approach in detail.

But here’s the quick summary from that article anyway: Microservice architecture is an approach that breaks large applications into small, independent services that communicate through APIs. With this approach, each service handles one specific business function and can be developed, deployed, and scaled separately. Think of it as building with LEGO blocks instead of carving from one giant stone (regarding the stone: microservices are often compared with monolithic architecture—the topic we also have a separate article for).

Here’s the simplified scheme of microservices architecture from our previous articles:

DevOps culture absolutely loves microservices because they solve the biggest pain point in software development: coordination chaos. Instead of waiting for other teams to finish their parts, DevOps teams can ship individual services whenever they’re ready. Microservices architecture fits the DevOps mindset perfectly because it enables continuous deployment, makes rollbacks less scary, and lets teams move fast without breaking literally everything. It’s like having separate kitchen stations where each chef can work independently instead of everyone crowding around one stove.

Key benefits of microservices in DevOps:

Video platforms serve millions of users who consume content at different intensities throughout each day. Morning commuters stream podcasts, lunch breaks bring short-form videos, and evenings deliver peak movie consumption. This creates distinct load patterns that require targeted solutions.

Content delivery networks face unique challenges compared to other platform components. These networks must cache and distribute massive video files across global servers, while user profile systems handle lightweight data queries. Video encoding services process computationally heavy tasks, yet chat features need instant response times.

The microservices approach addresses these varied demands by splitting platform functions into independent, specialized services. Each service scales according to its specific requirements rather than forcing uniform scaling across the entire system. Video encoding runs on processors optimized for parallel computing, while user authentication operates on hardware suited for rapid database queries.

This flexibility of microservices architecture proves critical during platform updates. When recommendation algorithms receive major improvements, changes affect only the recommendation service. Video streaming continues without interruption because the core delivery infrastructure operates independently. Users experience consistent performance while engineers deploy new features behind the scenes, creating a platform that adapts to real behavior patterns rather than fighting against them.

Online stores outgrow traditional monolithic applications quickly. Different business capabilities like payments, inventory, cards, and recommendations have varying scaling needs, and it makes microservices an ideal architectural style to implement for eCommerce platforms. Such an approach allows retailers to handle Black Friday traffic spikes in their product catalog without overprovisioning their user authentication systems. Also, it creates a situation where the shoppers still can buy products even if the recommendation system (or any other service) breaks.

Banks face strict regulatory requirements that affect different business aspects at varying frequencies. Microservices architecture means that every single service can meet specific compliance standards without forcing the entire technology stack through lengthy approval processes. Additionally, breaking complex applications into smaller components lets developers update mobile banking UI features while keeping core transaction processing untouched, meaning less overall downtime.

Microservices follow a structured path through the DevOps lifecycle, from initial planning to ongoing maintenance. This approach differs from traditional development primarily because each service moves through these stages independently:

We have a comprehensive guide about DevOps automation tools, where we describe in detail which modern tools can be used across different technology stacks and deployment scenarios. Here are 6 DevOps tools specifically useful for building and maintaining applications with a microservices architecture:

But, of course, it’s not only about pros. Here are several specific challenges associated with implementing microservice architecture, and some suggestions on how to mitigate them:

Our first case involves an eCommerce project where we helped Smartrr, a subscription management platform for Shopify brands. In this case, ELITEX specialists helped with the transition from a problematic monolithic application to a more efficient microservices architecture. The original monolith structure caused backend overload and performance issues, so we broke it into two separate parts that could handle requests more effectively. Our DevOps team played a crucial role by implementing centralized logging systems, monitoring dashboards, and migrating their messaging system from Amazon’s SQS to GCP pub/sub, which improved overall platform stability and prevented data loss during high-traffic periods.

Our second case demonstrates microservices implementation in academic publishing. For the STM Integrity Hub, we built AWS microservices connected by Lambda functions using an API-first approach. The platform processes manuscript submissions (its primary function) through modular screening tools while maintaining strict data privacy between publishers. In this case, our DevOps team configured deployment pipelines with API Gateway, Cognito, and DynamoDB, plus implemented DataDog monitoring that provides real-time security dashboards and catches vulnerabilities before production deployment.

Our third case involves a well-established Swiss bank (name withheld for security reasons) that needed to modernize its financial services infrastructure. The project was initially built with microservices architecture in mind, but when our DevOps specialists began to work on the project, their legacy Azure-based system had 20 interconnected microservices scattered across multiple repositories, creating high monthly costs and slow development cycles. We rebuilt all services from scratch on AWS, implemented ISTIO service mesh for better communication, and migrated to a monorepo. Our DevOps team optimized the entire technology stack, reducing infrastructure costs by 90% while significantly enhancing the platform’s security posture.

But microservices are not only about today, it’s also about tomorrow. 

Just as we wrote in our article about DevOps trends, microservices architecture will likely become the default choice for enterprise applications over the next few years. Container orchestration platforms like Kubernetes will evolve to handle even more complex service meshes automatically, making microservices deployment accessible to smaller development teams. We expect to see AI-powered tools that can automatically suggest optimal service boundaries and detect performance bottlenecks across distributed systems. Most importantly, the combination of serverless computing and microservices will enable companies to build applications that scale from zero to millions of users without manual intervention. 

And of course, DevOps specialists will like it:)

ELITEX bring a decade of experience in DevOps services and deep technical expertise in microservices architecture. We’ve successfully migrated monolithic applications across e-commerce, financial services, hospitality, and publishing industries. Results speak for themselves: our solutions led to up to 90% of infrastructure cost reductions and dramatically faster deployment cycles. This proven track record means we can guide your migration strategy and avoid common pitfalls that derail other projects.

Now, predicting the future is always a sort of magic, and, unfortunately, we cannot help with fortune-seeking. But we can help you build software solutions that easily adapt to whatever changes come next. Our transparent communication and zero bureaucracy approach means you work directly with our engineers, not through endless management layers. Our cross-functional teams understand both technical specificity, business timelines, and budget constraints.

Whether you’re planning your first microservices migration or optimizing existing systems, ELITEX deliver solutions beyond initial expectations!