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Obtain and Visualize Uniform Metrics, Logs, and Traces Across Microservices Using Istio

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Obtain and Visualize Uniform Metrics, Logs, and Traces Across Microservices Using Istio

Learn how to set up Istio on your Kubernetes cluster and use add-ons like Grafana to collect, query, and visualize metrics and logs.

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Record growth in microservices is disrupting the operational landscape. Read the Global Microservices Trends report to learn more.

In this post, you will learn how to set up Istio on your Kubernetes cluster using Helm or Kubernetes-YAML and you will be using add-ons like Jaeger, Prometheus, Grafana, and Weavescope to collect, query, and visualize metrics, logs, and traces (in-depth telemetry) for your microservices.

If you have read our previous blog post about Modernizing your old JPetStore app with containers, Kubernetes and AI, there is a hidden jewel (extension) in the jpetstore-kubernetes repository and it addresses one of the many capabilities of Istio: a service mesh.

What Is Istio?

Istio is an open platform to connect, secure, and manage a network of microservices, also known as a service mesh, on cloud platforms such as Kubernetes in IBM® Cloud Kubernetes Service. With Istio, you can manage network traffic, load balance across microservices, enforce access policies, verify service identity, and more.

Istio addresses many of the challenges faced by developers and operators as monolithic applications transition towards a distributed microservice architecture. The term service mesh is often used to describe the network of microservices that make up such applications and the interactions between them. As a service mesh grows in size and complexity, it can become harder to understand and manage. Its requirements can include discovery, load balancing, failure recovery, metrics, and monitoring, and often more complex operational requirements such as A/B testing, canary releases, rate limiting, access control, and end-to-end authentication.

Set Up Istio

You can install, setup and deploy Istio sidecars into your cluster in two ways

  1. Using Helm

  2. Using Kubernetes-YAML files

Once deployed and with the application responding to traffic, the graphs will start highlighting what's happening under the covers.

Prometheus scrapes metrics from instrumented jobs, either directly or via an intermediary push gateway for short-lived jobs. It stores all scraped samples locally and runs rules over this data to either aggregate and record new time series from existing data or generate alerts. Grafana or other API consumers can be used to visualize the collected data.

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Following the steps in the respective README files, you can generate a service graph, visualize Cluster using Weave Scope, and also check distributed tracing with Jaeger.

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Learn why microservices are breaking traditional APM tools that were built for monoliths.

microservices ,istio ,tutorial ,metrics ,log analysis

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