Today, we’re sharing how Istio can help developers establish and maintain a distributed microservice architecture that’s built to last.
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Industry analysts predict that 83% of all enterprise workloads will be in the cloud by the end of 2020. To leverage the scalability and flexibility of the cloud, developers can deploy independent microservices into their cloud environments. Yet, transitioning to a distributed microservice architecture isn’t without its challenges. As organizations grow, it becomes increasingly difficult to connect, secure, control, and monitor those services.
That’s where Istio service mesh comes in.
Today, we’re sharing how Istio can help developers establish and maintain a distributed microservice architecture that’s built to last. Read on to learn how it works and why it could be one of the most important investments your organization makes this year.
The term “microservices” or “microservices architecture” is used to describe a cloud-native architectural approach in which a single application is comprised of multiple, independently-deployable smaller components or services.
These components operate as autonomous processes, communicating with one another through APIs. Each individual microservice can be implemented in a unique programming language on a separate platform. This allows developers to organize them around specific business capabilities while enjoying improved speed, scalability, and flexibility.
Conversely, in a monolith architecture, all code components are interconnected and interdependent. They also work cohesively and share within the same memory space. Thus, if developers ever need to change or update the system, they’re required to build and deploy the full stack at once.
Shifting from a monolith architecture to a distributed microservices architecture presents many benefits. Yet, the process can quickly become complicated and overwhelming. Development, deployment, updating, and scaling might be simplified, but you’re left with more parts to manage.
How can developers maintain a network between the services as an application’s footprint grows?
This is where a service mesh comes in.
A service mesh is a low‑latency infrastructure layer capable of handling the high volume of network‑based communication that takes place within a microservices architecture.
