Microservices architecture. Many organizations today recognize it enables faster and easier software changes over more traditional monoliths. Microservices have become the backbone for how organizations develop cloud-native applications – programs that run independently in containers designed for cloud computing architectures.

In this episode of Kongcast, Jeff Taylor, senior product manager at Okta, tells and shows us how to speed up microservices security and take the burden off developers by managing auth with an API gateway.

In a recently posted article on DZone, “Microservices: Good for Developers’ Mental Health,” Sauce Labs engineer, Simone Pezzano, addresses the link between developer confidence and mental health in today’s new workplace. Pezzano tells the story of his team’s bumpy start on their journey from monolith to microservices. Initially, Pezzano viewed microservices as a scary concept with rapid release cycles and shorter testing times.

Traditionally, monolithic architecture has been used to develop large-scale apps. However, people have realized its drawbacks and limitations over time. Without adapting to modern agile practices and limited flexibility does not allow for a productive development process. Therefore, organizations have been searching for better, more reliable architecture to facilitate the development of large-scale, complex apps with a more productive workflow.

Microservices have an entirely new set of problems due to their distributed service-oriented architecture. As a result, microservice design patterns have surfaced. This post will consider the specific design patterns that can help us build reliable, secure and traceable microservices.

As more companies invest in a cloud native infrastructure, they’re choosing to prioritize their applications as microservices—architecting them into distinct servers. Each component is responsible for one (and only one) feature. For example, you might have Server A responsible for handling billing logic, Server B for handling user interaction and Server C for handling third-party user interactions.

If you’re a dev you’ve no doubt, come across people talking about monolith and microservice application architecture. Perhaps you are involved in designing a new system and have been asked to consider both architectures. The conversations are often regarding how microservices are the successor to monolith architecture, but today I’m going to try and layout why it’s not as simple as one being better than the other.

Service Mesh is an infrastructure layer that has become a common architectural pattern for intra-service transparent communication. By combining Kubernetes a container orchestration framework, you can form a powerful platform for your microservices cluster, addressing the typical technical requirements that occur in highly distributed environments. A service mesh is implemented through a sidecar configuration, or proxy instance, for each service instance.