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Note: This blog post was originally published as a white paper in November 2016 and has been updated for accuracy and comprehensiveness.
By breaking large applications down into small, independently functioning services, microservices enable advances in agility and flexibility for developers, but are not exempt from challenges. We will explore the definitive, “What, Why, and How?” overview of microservices. This blog will discuss what are microservices, how microservices work, and will cite examples and suggested practices to help ensure the successful adoption of a microservices architecture. We will discuss the role of APIs in microservices architectures and look at how helpful an API management platform can be.
Background reading >>What Are APIs?, What Is API Management?
Microservices define both an abstract concept and a set of concrete objects. At a high level, the microservices pattern is a new way to build applications consisting of sets of independent microservices implementations. We will try to focus on describing the concept as the microservices pattern, and the concrete service implementations as microservices.
The microservices pattern represents an approach to creating applications, combining the concepts of service-oriented architecture (SOA), containerization, and DevOps. The pattern combines the principles of SOA with bounded contexts to create small, autonomous microservices, working together to efficiently scale overloaded systems. Microservices are most commonly built by small agile teams, using continuous integration and delivery, often leveraging containerization for rapid deployment. As a result, the microservices pattern enables scalability, speed, efficiency, and agility.
Let’s get a clear sense of how microservices work best and/or the ways to implement them. When we look at the leading trends in enterprise architecture, the microservices pattern presents a bucket of opportunities with some concomitant challenges. Implementing a successful microservices architecture can mean rethinking a number of enterprise architectural concepts, thought processes, and workflows. We will highlight the main concerns by offering you a rundown on the what, why, and how of microservices.
Now, we will dive deeper into what exactly is the microservices pattern, and exactly what are microservices. The microservices pattern breaks a large application down into small, independent services that are not language-specific. It offers IT organizations tools for agility and cost reduction as long as the organization is sufficiently mature to be able to follow the core guiding principles.
The term “microservices” refers to a style of software architecture where complex applications can be composed of small independent services. The independent “services” (or processes) exchange data and procedural requests. Microservices implementations use application programming interfaces (APIs) or events that are most likely standards-based and language-agnostic. Regardless of the language used within your organization, you can implement a microservices architecture.
Microservices use lightweight communications protocols and are highly focused on providing one capability. The “micro” refers to narrowness of focus, not size. They are usually built by small “Two Pizza” teams to ensure adequate focus on the capability.
Microservices exist at the intersection of SOA, the mashup of agile development and IT operations known as DevOps and containerization. Figure 1 shows this concept as a Venn diagram. However, microservices go beyond the actual architecture. When you combine fast-moving software development that leverages the principles of SOA and containers, those are microservices.
Microservices differ from SOA, though the two architectural styles share a common history and a number of traits. SOA was designed to be technology-agnostic, but over time SOA has become very standards- and vendor-driven. Vendors drove SOA down the path of SOAP and enterprise service buses (ESBs). While microservices reaffirm many SOA principles, they are almost a reaction against that traditional vendor-driven SOA. The heavy SOA architecture is the opposite of today’s lightweight microservices. Microservices are decidedly anti-ESB.
Related reading >>Steps to SOA
Some people in the API world might argue that microservices are just APIs, but they are focused on solving very different problems. APIs are concerned with how to manage digital transformation and support a large eco-system of developers and partners by making it easy for them to consume data or applications. They provide connectivity and integration for easier and better consumption of services, often by web and mobile apps.
The difference between an API and a microservice is not based on technology. APIs and microservices are complementary to each other. Microservices provide agility and scale to applications that are increasingly surfaced via APIs. Essentially, the API is the result of building an application and an application could be built using microservices.
Fundamentally, for api vs. microservices:
Read more in our guide >>Microservices and APIs
Microservices enable IT organizations to be more agile and build more scalable applications. Microservices translate into faster development and change cycles. As Figure 2 suggests, breaking down a large application into smaller services makes the development workflow move faster. Tasks can move more quickly through the microservice’s smaller funnel.
As a small development effort, a microservice can be built faster than the typical large-scale software development project involving a monolithic application. Microservices are more fluid and move independently at their own pace. There are no waterfalls in the development process - the opposite of a monolithic application. Due to their independent nature, microservices can be developed using any programming language or constructs. They have better variability. With containerization, microservices can be quickly deployed on-demand as part of a continuous delivery process.
Microservices failures are also less catastrophic than breakdowns in bigger systems. A failure in one part of a stand-alone application can take down everything else. A system-wide diagnosis may lead to releasing another version of the application to fix that particular error. In a microservices architecture, the function provided by the microservice may not be essential and it is typically quicker and easier to fix problems. The agility of the design helps you to identify, isolate, and compensate for errors. If you have a microservices architecture, you can scale microservices to overcome a performance constraint. Another attribute is being able to quickly build a new version of the faulty microservices without dealing with the cumbersome operational cascade that usually exists within a monolithic application.
Microservices give you better reliability, range, and flexibility. For example, you can scale up any one part of your application. If a login is suffering because the system is getting of a lot of new users, you can better scale that particular part of the application with a microservices architecture. Before microservices, you would have to stand up new app servers, which are running the big monolithic application, just because that one particular page or one particular part of a site is being used more than others.
Now, with microservices, if you have a spike in the number of logins, the microservices architecture provides a menu of more elastic solutions. In this case, containerization allows IT to quickly deploy as many new instances of the login microservices as needed and then load balance across them all.
Some architects believe that migrating old applications to microservices means breaking apart the existing applications into component parts and putting them back together in a new way, which would streamline the architecture. However, architects would do well to stop thinking of microservices as a way to build entire applications. The idea is not about taking monoliths and completely re-implementing them as a set of microservices. Rather, architects should look at isolating services that make sense to develop as microservices, and incrementally branch out from there.
The biggest impact of adopting a microservices pattern is organizational. When adopting microservices, the organization has to change structure and approach or they will run afoul of Conway’s Law. Microservices require training and new skillsets. They affect design, development and testing. Thoughtful staffing of the development and testing teams and scoping out of parameters will help inform design and implementation of microservices, which work best when ops are mature, including properly functioning DevOps and competent adoption of containerization.
Microservices affects many familiar processes. The following table highlights key needs in the areas of development, data, and testing.
Martin Fowler and James Lewis, industry thought leaders on enterprise software, provide an outstanding rundown on new skills and practices that IT organizations must master in order to succeed with microservices. In their view, the following concepts offer a solid idea of what and how to choose and implement the right kind of microservice. As Fowler and Lewis note, “You can take a bad application and build a bunch of bad microservices out of it.” If you consider the following principles, it is possible to avoid a bad outcome:
The result of an application built using microservices is often an API. API management can ensure the reliability, security and performance of that API.
The Akana API Management platform provides the functionality to deliver applications as a series of microservices. The platform streamlines management, deployment, development and operation of APIs, enhancing security and regulatory compliance through authentication, authorization and audit capabilities.
It can also do a lot more. In many cases the API Management platform, specifically the API gateway, can take the role of the ingress controller by distributing requests across a series of microservices.
The platform lets users take advantage of lightweight container platforms for microservices deployment while still providing the core capabilities required by an enterprise services environment. This includes central definition and management of security, routing, orchestration, mediation, auditing, threat protection and other operational governance policies across multiple instances. This makes it possible to have microservices which comply with security policies – a common goal of many architects struggling to adopt microservices in security and compliance-intensive enterprises.
Akana gives administrators the ability to scale microservices independently based on real-time usage needs. Akana’s tools make it possible for IT to provide high-availability with load balancing over just enough redundant microservices instances to support load, should one instance fail. Users can create managed container instances for easy deployment of secure microservices, automating the registration and discovery of microservices instances with container configuration tasks.
Read more >> Akana's Microservices Solution
Microservices give architects a way to build flexible, scalable web-scale applications. They do this by breaking a large application down into small independent services. This process enables greater agility because changes and development can be executed faster than those in a monolithic application, though microservices do present a host of challenges. They are best approached incrementally, eating the elephant one bite at a time. Transforming entire applications into microservices is not an optimal approach. Rather, given the technology’s impact on developing, testing and deployment, it is best to be selective about which application components should be first made into microservices.
The API is the application. Applications built using microservices architectures will often result in an API. For this reason, the choice of an API management platform is critical to making a microservices architecture function as envisioned. An effective API management platform can act as the ingress controller while simultaneously monitoring performance and providing security and governance.
See how intuitive it is to use the Akana API management platform to handle your API and microservices needs with a 30-day trial.