Obtain and visualise uniform metrics, logs, traces across microservices using Istio

5 min read

By: Vidyasagar Machupalli

Obtain and visualise uniform metrics, logs, traces across microservices using Istio

In this blog post, you will learn how to setup Istio on your Kubernetes cluster using Helm or Kubernetes-YAML and you will be using add-ons like Jaeger, Prometheus, Grafana, & Weavescope to collect, query and visualize metrics, logs & 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.

logo

Istio logo

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.

Setup 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.

grafana_istio

Grafana Istio Dashboard

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

Weavescope dashboard

Weavescope dashboard

Further learning…

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