Istio is currently the most popular service mesh implementation, relying on Kubernetes but also scalable to virtual machine loads. Kubernetes/Istio are a technical solution to deal with the issues created by moving to microservices. We will look at how service management is done in Kubernetes and how it has changed in Istio.
Istio is currently the most popular service mesh implementation, relying on Kubernetes but also scalable to virtual machine loads.
Istio, the most popular service mesh implementation, was developed on top of Kubernetes and has a different niche in the cloud native application ecosystem than Kubernetes. Rather than introduce you directly to what Istio has to offer, this article will explain how Istio came about and what it is in relation to Kubernetes.
To explain what Istio is, it’s also important to understand the context in which Istio came into being — i.e., why is there an Istio?
Microservices are a technical solution to an organizational problem. And Kubernetes/Istio are a technical solution to deal with the issues created by moving to microservices. As a deliverable for microservices, containers solve the problem of environmental consistency and allow for more granularity in limiting application resources. They are widely used as a vehicle for microservices.
Google open-sourced Kubernetes in 2014, which grew exponentially over the next few years. It became a container scheduling tool to solve the deployment and scheduling problems of distributed applications — allowing you to treat many computers as though they were one computer. Because the resources of a single machine are limited and Internet applications may have traffic floods at different times (due to rapid expansion of user scale or different user attributes), the elasticity of computing resources needs to be high. A single machine obviously can’t meet the needs of a large-scale application; and conversely, it would be a huge waste for a very small-scale application to occupy the whole host.
In short, Kubernetes defines the final state of the service and enables the system to reach and stay in that state automatically. So how do you manage the traffic on the service after the application has been deployed? Below we will look at how service management is done in Kubernetes and how it has changed in Istio.
Our original Kubernetes tool list was so popular that we've curated another great list of tools to help you improve your functionality with the platform.
In this article, take a look at the service mesh in the microservices world. The software industry has come a long journey and throughout this journey, Software Architecture has evolved a lot. Starting with 1-tier (Single-node), 2-tier (Client/ Server), 3-tier, and Distributed are some of the Software Architectural patterns we saw in this journey.
Managing Microservices With Istio Service Mesh in Kubernetes. With Istio, developers can implement the core logic for the microservices, and let the framework take care of the rest – traffic management. With the adoption of microservices, new issues emerge because of the sheer variety of services that exist in a very larger system. issues that had to be resolved once a stone, like security, load equalization, monitoring, and rate-limiting have to be compelled to be handled for every service.
Istio Architecture | Service Mesh in Kubernetes - The Architecture of Istio Service Mesh implementation in Kubernetes for Microservices management.
Managing Microservices with istio Service Mesh in Kubernetes. Services are at the core of modern software architecture. With Istio, developers can implement the core logic for the microservices, and let the framework take care of the rest.