Kuma is an open source, CNCF service mesh that supports every environment, including Kubernetes and virtual machines. In this Kuma service mesh tutorial, I will show you how easy it is to get started.
In the past few years, several organizations have started to adopt a microservice architecture. This architecture type creates a large complex application out of a collection of services that are loosely coupled, easy to maintain, and independently deployable. Very often, a microservice architecture is managed using Kubernetes, an open-source orchestration platform that manages your containerized services.
Istio is an open source service mesh that can be used by developers and operators to successfully control, secure, and connect services together in the world of distributed microservices. While Istio is a powerful tool for teams, it's also important for administrators to have full visibility into its health. In this blog post, we'll take a look at monitoring Istio and its microservices with Elastic Observability. As the Istio docs mention.
Imagine you’re going through immigration at the airport. The immigration officer says, “I don’t need your passport because I trust that you are who you claim to be.” Wait, what? That would never happen, right? That’s because trust is exploitable. Sooner or later, somebody will try to lie about who they are, and thus a criminal could enter the country. That’s why countries must enforce some form of identity, like a passport, to certify travelers are who they claim.
In the past few years, several organizations made the jump from monoliths to microservices architecture. This architectural pattern breaks down a large complex application into a collection of smaller loosely coupled services that are easy to maintain, scale, and deploy independently. However, the downside of modern microservices architecture is the inherent complexity of service-to-service discovery and communications.
Istio is an open source service mesh that provides an abstraction layer for network traffic between applications, so you can run canary deployments, implement circuit breakers, and otherwise manage the architecture of your network using high-level configuration files. As service meshes become increasingly popular among containerized environments, dev and ops teams need to ensure that Istio is healthy, performant, and routing traffic as intended to keep their network infrastructure running smoothly.
As a developer, your company hired you to build incredible products that focus on your users’ and customers’ needs. Yet, in the age of microservices, producing the best products relies heavily on efficient cloud service connectivity. For example, an eCommerce marketplace is more than a front-end UI that customers access via a browser.
Service Mesh is an emerging architecture pattern gaining traction today. Along with Kubernetes, Service Mesh can form a powerful platform which addresses the technical requirements that arise in a highly distributed environment typically found on a microservices cluster and/or service infrastructure. A Service Mesh is a dedicated infrastructure layer for facilitating service-to-service communications between microservices.
Building a multi-region or multi-cloud environment for your applications requires a lot of attention. In a typical deployment, you would have an API gateway running close to the several application runtimes. You should enhance your deployment to support different regions in a given cloud, or in an even more distributed and hybrid scenario, multiple services running across other public clouds and on-premise environments.
