Service Mesh

Multi-Cluster & Multi-Cloud Service Mesh With CNCF's Kuma and Envoy

In this eBook, Kong Co-Founder and CTO Marco Palladino breaks down how Kuma now supports every cloud vendor, every architecture and every platform together in a multi-mesh control plane. When deployed in a multi-zone deployment, Kuma abstracts away both the synchronization of the service mesh policies across multiple zones and the service connectivity (and service discovery) across those zones.

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.

Getting Started with AWS App Mesh and Service Mesh

Companies today are breaking down their big monolithic applications into multiple microservices and one of the challenges of having to deal with multiple microservices is that it’s difficult to isolate issues such as: With microservices, there is also no dynamic way to reroute network traffic when failures occur or new containers need to be deployed.


How to monitor istiod

Istio is a service mesh that enables teams to manage traffic in distributed workloads without modifying the workloads themselves, making it easier to implement load balancing, canarying, circuit breakers, and other design choices. Versions of Istio prior to 1.5 adopted a microservices architecture and deployed each Istio component as an independently scalable Kubernetes pod. Version 1.5 signalled a change in course, moving all of its components into a single binary, istiod.


Multi-Cluster & Multi-Cloud Service Meshes With CNCF's Kuma and Envoy

When we first created Kuma – which means “bear” in Japanese – we dreamed of creating a service mesh that could run across every cluster, every cloud and every application. These are all requirements that large organizations must implement to support their application teams across a wide variety of architectures and platforms: VMs, Kubernetes, AWS, GCP and so on.

Kong Demo: Protecting Microservices with Servicemesh

In this interactive demo, we will show how to encrypt and protect all services inside a service mesh using the Kuma Mutual TLS policy. We will then demonstrate how to control traffic permissions among each individual service using the TrafficPermission policy. In addition to security, Kuma provides traffic metrics using Prometheus and Grafana dashboards, as well as traffic tracing (APM) and traffic logging integrated into managed cloud logging and analytics services.

Deploying Citrix ADC with Service Mesh on Rancher

As a network of microservices changes and grows, the interactions between them can be difficult to manage and understand. That’s why it’s handy to have a service mesh as a separate infrastructure layer. A service mesh is an approach to solving microservices at scale. It handles routing and terminating traffic, monitoring and tracing, service delivery and routing, load balancing, circuit breaking and mutual authentication.