What Are Microservices: Pros, Cons, Use Cases, and More

Learn extensively about microservices architecture for rapid, frequent, & reliable delivery of large & complex applications and reduce costs.

March 10, 2022
8 mins read
Last Updated July 08, 2022
What Are Microservices

What Are Microservices: Pros, Cons, Use Cases, and More

Technologies work as one of the key enablers for businesses to radically enhance their software development and deployment process. One such technology, microservices, has been creating a lot of buzz ever since the term was coined in 2011. Many forward-thinking enterprises like Netflix, PayPal, eBay, Twitter, Etsy, and Amazon have embraced this modular approach for building applications. So the question is, what are these microservices that 85% of large organizations are using?

The traditional approach for application development creates more problems as apps become more extensive and complex. Unlike a few years ago, no enterprise today wants to have a consolidated, single application to manage their end-to-end business functions. Because often, applications become easier to develop and maintain when broken down into smaller pieces that work together. And that’s precisely the central idea behind microservices!

Read on to understand what microservices are, how they compare with a monolith and service-oriented architecture (SOA), their advantages and drawbacks, and many more valuable insights.

Simform is a leading Microservices Consulting & Implementation Company, helping businesses enhance their technology stack with fast and dependable microservices architecture. Contact us today to maximize ROI on your cloud microservices deployments!

What are microservices?

Microservice is an architectural style where an extensive software application is constructed as a suite of individual, loosely coupled services. In a microservices architecture, every service performs its dedicated business function and communicates with each other via well-defined web interfaces.

Microservices Architecture

Many organizations have embraced Conway’s Law to leverage the power of distributed teams and create efficient microservice architecture. Given below are some common characteristics that most microservice architectures exhibit.

Characteristics of microservices

  • Each service has a separate database layer, independent codebase, and CI/CD tooling sets.
  • Services are responsible for preserving their data or external state.
  • Every service is independently deployable and can be tested in isolation without depending on other services.
  • Internal communication between the services happens via well-defined APIs or any lightweight communication protocol.
  • Each service can select the technology stack, libraries, and frameworks best suited for its use cases.
  • Services should implement Retry functionality if there is a network or system failure.

Before building a microservice, you must also know the myths and confusions to enjoy the whole range of benefits that we’ll discuss later on.

Misconceptions about microservices

  • “Micro” means small – A microservice is comparatively “small” than the enormous monoliths. However, making it too small would be a mistake. The size of microservices generally depends on the application.
  • Microservices entirely eliminate complexity – Microservices shift complexity from code design and implementation into system operations where we can automate things.
  • Microservice can “easily” scale systems – Yes, scaling is undoubtedly an advantage here, but it’s not as easy as it sounds. Upscaling can involve managing several services simultaneously, and you have to ensure that the upscaled components integrate with the rest of the system.
  • Microservices work for all applications – One must evaluate systems and have long-term strategies before opting for microservices. Every application in an enterprise cannot be a good fit for a microservice architecture.

How do Microservices compare with monolithic and SOA?

Three popular architectures — monolithic, service-oriented architecture, and microservices are mostly used to build a new application. We’ve already discussed microservices earlier, now let’s understand the other two.

Monolithic architecture – A monolithic application is developed as a single unit, where all features, functionality, and modules are tightly coupled for development, integration, and deployment.

Microservices vs monolithic

Microservices Monolithic
Design Independent services communicate via APIs Complex app encompasses several tightly-coupled functions
Data consistency Difficult to achieve Easy to achieve
Scalability Independently scalable Challenging
Agility High operational agility Difficult to achieve operational agility
Service startup  Relatively quick Takes more time
Finding failure points Difficult Easy
Team communication More complex Comparatively straightforward

Service-oriented architecture – Created as a response to the traditional approach, SOA helps decouple an application into smaller modules. These separate service modules intercommunicate to meet particular business requirements.

Often, many developers consider microservices as a subtype of SOA, while others insist each solves a different set of problems.

Microservices vs SOA

Microservices SOA
Design Services are built in small units Services can vary in size from small to large
Scalability Independently scalable A bit challenging due to dependencies between services & reusable sub-components
Component sharing Does not involve component sharing generally Often involves component sharing
Data storage Each service can have an independent data storage Involves sharing data storage between services
Remote services Uses REST and JMS Uses protocols like SOAP and AMQP
Deployment Quick and easy Less flexible

What are the benefits of microservices?

Microservices sit well with both cloud and DevOps. Let’s see how. Most companies nowadays are migrating their workloads to the cloud. Microservices allow software development teams to use patterns like event-driven programming and autoscale scenarios. And this, in turn, nicely complements cloud-based application architectures.

The businesses also exhibit the same enthusiasm for adopting the DevOps strategy. DevOps practices also work by breaking large problems into smaller pieces and solving them one at a time. As a result, microservices perfectly fit into the DevOps ideals. We’ll discuss more regarding the relationship between microservices and DevOps later on.

Also, microservices provide independent scaling, easy deployment, technology stack flexibility, and faster time to market. Here are the 5 main benefits of microservices.

  • Agility – With microservices, small teams can work independently and act within a well-defined context, reducing development cycle times and increasing throughput.
  • Increased resilience and fault tolerance – When appropriately constructed, independent services do not impact one another. Service independence ensures that the failure of a specific service does not crash the overall application.
  • Higher-quality end product – Modularisation of an application into discrete components helps app development teams concentrate on a tiny part at a time. This approach simplifies the overall coding and testing process and increases software quality.
  • Real-time processing – A publish-subscribe framework of microservices enables data processing in real-time. As a result, extensible systems can consume and process large amounts of events or information in real time.
  • Data isolation – Unlike a monolithic application, where different parts of the application might touch the same data, here, only a single microservice is affected. And so, it is much easier to perform schema updates.

What are the challenges of microservices?

The advantages of microservices that we’ve documented above don’t come for free. Like other transformational trends, microservices implementation poses its own threats. Without knowing these challenges, your organization might find it difficult to achieve many of the foreseen advantages.

Here are some of the challenges worth considering before taking a big leap.

  • Data consistency – Microservice has a distributed approach to managing data, and if there is redundancy across the data stores, the same item of data appears in multiple places. Duplicated or partitioned data raise the issues of data integrity and consistency.
  • Distributed tracing – It’s challenging to find the failure point, debug, and fix sources of errors with microservices. Without a comprehensive stack trace, you have to work backward and go through status codes and vague error messages.
  • Network congestion and latency – The use of multiple small, granular services will require more interservice communication. Besides, there can be the issue of additional latency if the chain of service dependencies becomes too long.
  • Operation overhead – Managing numerous independent services can often become a tedious task for the operation team. They need to put in significant effort to avoid any failures and ensure the resilience of the developed application.
  • Testing Microservices testing is more complicated because of the complex integration, different services, and interdependencies. The testing team has to write many mock services to test even small units and should know various services and channels of communications to have full coverage in their test cases.

Monolith To Microservices Tweet

  • Technical debt – A polyglot programming environment can often be a double-edged sword! While it allows architects and developers to build a microservices structure using individual infrastructures and different languages, the organization might end up with an enormous system having a thousand ways to do every single thing.

5 Best practices for implementing a microservices architecture

The first essential step before working on the best practices is to determine whether microservices architecture is a good fit for your requirements. Then, get everyone on board with the idea once you’re sure of its practicality.

Here are the primary practices you should follow for organizing, designing, and implementing microservices architecture.

  • Have a dedicated infrastructure – A flawed design of the hosting platform would give poor results. By isolating your microservice infrastructure from other components, you’ll get fault isolation and best performance.
  • Have a dedicated database – Select the proper database, and customize the infrastructure it needs. Using a shared database for each microservice might not serve the purpose.
  • Attempt the migration in steps – The transition from monolithic to microservices can be pretty strenuous. Instead of jumping right in, you should first have enough new services in place. Then, break down the old architecture into relevant components and migrate them one by one.
  • Align the right technology with the right microservice – Direct and iterative implementation of the technology allows you to make changes or replacements later. Consider maintainability, fault tolerance, scalability, cost of architecture, and ease of deployment while deciding on the appropriate technology.
  • Deploy in containers – A microservices architecture does not rigidly dictate the use of containers. However, by deploying microservices in containers, you need just one tool that knows how to deploy it. Also, this way, your application can better respond to unpredictable workloads, and you can achieve better server utilization rates.

In addition to all the above-stated practices, you should also clearly define CI/CD implementation processes, use asynchronous communication to achieve loose coupling, and bake application security into all phases of development.

Key enabling technologies and tools

As microservice is an architectural style, a single tool might not be sufficient to control the entire workflow. An organization should start by understanding the challenges of the existing tech stack and accordingly select a tool based on its functionality, license, benefits, and challenges.

Here are some of the tools that help increase the developers’ productivity and play an essential role in microservice development.

  1. Containerization platforms – Microservices become independently scalable and deployable by using isolated workload environments that containerization platforms provide. For example, a popular platform, Docker, enables you to containerize your microservices and simplify delivery and management.
  2. Container orchestration platforms –  Kubernetes (K8s) works wonders for automating the scaling, management, and deployment of microservice applications. This renowned framework allows you to manage hundreds or thousands of containers at a production scale.
  3. API management tools – API gateways keep individual services lightweight by handling all requests from the clients and routing them to the appropriate microservice. They also help decrease microservices complexity, avoid exposing internal concerns to external clients and provide security benefits.
  4. Messaging tools – REST/HTTP works well for synchronous request/reply patterns and public-facing APIs. However, it’s not suited for event-driven microservices. A message queue consists of messages sent between services/applications, and it decouples heavyweight processing and smooth spiky workloads. Standard messaging tools are RabbitMQ and Kafka.
  5. Data stores – The data store is used to preserve data needed by the microservices. Renowned session data stores are in-memory caches like Redis or  Memcached.
  6. Service mesh – You can deploy microservices without extensive knowledge of the underlying infrastructure by using a service mesh like Istio, which is quite popular in the Kubernetes community. It also provides additional capabilities like load balancing, intelligent routing, service discovery, policy enforcement, and more for your microservice architecture.

How to monitor microservices?

Monitoring the infrastructure and environment has always been an essential part of managing any IT system. On top of that, microservices-based applications have unique and more intensive monitoring requirements.

When dealing with a microservices application, you have to manage a network of interrelated components to ensure overall reliability. However, most traditional monitoring systems were designed for static application environments with fewer nodes. As a result, commonly prescribed monitoring tools like Graphite and StatsD that were in practice until recently are no longer enough to meet the new requirements.

However, Prometheus and Grafana have emerged as a popular combination for monitoring microservices. Prometheus works well with Kubernetes, and its inherent simplicity makes it ideal for mission-critical microservice-based applications.

How do microservices enable and require DevOps?

Organizations started embracing DevOps after realizing that agile transformation in application development falls short in meeting the agility needs of today’s fast-paced markets. Over time, microservices architecture emerged from the DevOps practices of cloud-native companies to achieve quality and acceleration in software delivery.

While microservices deliver small pieces of functionality as a service, DevOps breaks software down into smaller segments to increase the quality and speed of software delivery. When combined, DevOps and microservices offer greater agility and operational efficiency. As per industry analysis, the DevOps & microservice ecosystem market will grow at a robust CAGR of 16% between 2017 and 2022 globally, reaching $10 billion by 2021.

The services-based approach of microservice architecture allows organizations to break down the application into smaller services. As a result, delivery teams can handle individual services as separate entities and simplify development, testing, and deployment.

Microservices and DevOps

By combining microservices and DevOps, you can –

  • Develop cloud-native applications
  • Move developments to a flexible architecture
  • Increase productivity and quality of the application
  • Simplify monitoring and observability for developers
  • Accelerate innovation and reduce software development costs
  • Streamline the DevOps process

Real-world examples of microservices

Microservices can be beneficial for rapidly growing industries like an online marketplace, eCommerce, social media networks, finance, healthcare, etc. Some of the practical use cases for a microservice architecture include –

  • Adding new desired functionality to a large legacy system
  • Providing the scalability and control to handle big data
  • Enabling advanced analytics environments to validate their updated computational models using AB and multivariate testing
  • Collecting, aggregating, and analyzing a data flow for machine learning environments

Let’s see some famous microservices examples. Thanks to these tech giants, the world realized how disruptive the transition from monolith to microservices could be!

  1. Netflix – Modern cloud-based companies consider Netflix a role model for using microservice architecture. The streaming giant started setting up its microservice architecture on AWS in 2009. Within two years, Netflix migrated from a monolith into microservices in phases. First, they transitioned movie encoding and other non-customer-facing applications. Then they decoupled customer-facing elements such as movie selection, account sign-ups, device selection, and configuration.
  2. Amazon – World’s largest online retailer used to run on an extensive monolithic application with many modular yet tightly-coupled components. As a result, Amazon could not split its teams into smaller groups and speed up its development cycle. Then, the company divided the code as independent functional services, wrapped with web services, and eventually progressed to microservices.
  3. Best Buy – In 2010, Best Buy started transforming its eCommerce platform. Their mission was to break the monolithic, tightly coupled application into microservices for quick deployment of new features and react to market changes in the retail landscape.

Microservices Implementation At Best Buy

Let’s take an example of microservices for one of our clients, a fintech platform used by the UK’s leading financial companies. The company wanted to modernize its legacy applications. Having years of experience with various technologies, tools, and platforms, Simform’s consulting team helped the company rebuild the front-end architecture. We also assisted with microservices API testing and OAS3 compliance testing.

When should you use microservice architecture?

  • When you want your monolithic application to adopt agility, scalability, manageability, and delivery speed
  • When you have to update your legacy applications in today’s programming languages or tech stacks to keep pace with modern-day business requirements and solutions
  • When developers are unable to predict the types of devices on which the app is going to run
  • When your data management team is skilled enough to support the incorporation
  • When you have standalone modules that you want to use across diverse channels
  • If you’re developing a highly agile application that demands accelerated speed of delivery and innovation

When should you not use microservice architecture?

  • If your business does not have complex issues
  • If your application is simple by its nature and functionality and doesn’t need to be broken down into microservices
  • If you do not have the proper tools and technologies like CI/CD pipeline in place
  • If you do not have a robust system for monitoring and detecting issues for microservices
  • If your team is not mature and is not willing to adapt the technical skills
  • If you have a risk of running too many microservices

Conclusion

Microservices are a nearly perfect solution to the modern software world’s need to deliver faster functionality and reliability. However, the transition from monolithic to microservices can be lengthy and tedious.

microservices-challenges-tweetBusinesses that want to implement microservices while their application continues to function must first know the ins and outs of this architectural style. When you aim to succeed at a breathless pace, there’s not much room for error. Simform’s consulting services promise an unprecedented level of control and speed for delivering innovative and uninterrupted web experiences to your customers.

Legacy app modernization

Hiren is VP of Technology at Simform with an extensive experience in helping enterprises and startups streamline their business performance through data-driven innovation.

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