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Service Mesh

The latest News and Information on Service Mesh, APIs and related technologies.

Join Us to learn Service Mesh, Observability and Beyond

How can you scale your organization without losing an understanding of your environment? Services mesh is here to help! It gives you the observability of connected services and is easier to adopt than you might think. Come and learn service mesh concepts, best practices, and key challenges.

Power Your Consul Service Mesh with HAProxy

Many of you use HashiCorp Consul for service discovery. It makes connecting one backend application or service to another easy: Your Consul servers store a catalog of addresses to all of your services; when an application within the network wants to discover where a service is listening, it asks Consul, which gives it the address.

Istio monitoring with Elastic Observability

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.

Datadog NPM now supports Istio networking

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.

Using Hybrid and Multi-Cloud Service Mesh Based Applications for Distributed Deployments

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.

VMware Tanzu Mission Control Now Integrates with VMware Tanzu Service Mesh

With the acceleration of digitalization, enterprises across all verticals are running more and more distributed applications deployed on multiple clouds. This poses a new set of challenges when it comes to maintaining, updating, and securing these distributed applications. Our customers are looking for solutions to connect and secure their applications for rapid delivery with minimal disruptions and code changes.

Kubernetes Master Class - Service Mesh with Istio in Rancher 2.5

The release of Rancher 2.5 introduced some significant changes to the Istio Service Mesh integration. In addition to those changes, the Istio project has also undergone some significant redesign in recent versions. Staying current in this fast moving space can be a challenge. Fear not! In this Master Class, Rancher Field Engineer Jason Skrzypek will summarize the notable changes, discuss the rationale behind some of them, and demonstrate the possibilities that this new implementation unlocks.

Tanzu Service Mesh SLO Feature Demo

This is a demonstration of the Service-Level Objective (SLO) feature in VMware Tanzu Service Mesh. Service-level objectives provide a formalized way to describe, measure, and monitor the performance, quality, and reliability of microservice applications. SLOs provide a shared quality benchmark for application and platform teams to reference for the purposes of gauging service-level agreement (SLA) compliance and continuous improvement.

Tanzu Service Mesh Autoscaler Feature Demo

This is a demonstration of the Autoscaler feature in VMware Tanzu Service Mesh. With Tanzu Service Mesh Autoscaler, developers and operators have automatic scaling of microservices that meet changing levels of demand based on metrics, such as CPU or memory usage. These metrics are available to Tanzu Service Mesh without needing additional code changes or metrics plugins.