Operations | Monitoring | ITSM | DevOps | Cloud

In Part 2, we showed you how to use Istio’s built-in features and integrations with third-party tools to visualize your service mesh, including the metrics that we introduced in Part 1. While Istio’s containerized architecture makes it straightforward to plug in different kinds of visualization software like Kiali and Grafana, you can get deeper visibility into your service mesh and reduce the time you spend troubleshooting by monitoring Istio with a single platform.

Istio is an open source service mesh that was released in 2017 as a joint project from Google, IBM, and Lyft. By abstracting the network routes between services from your application logic, Istio allows you to manage your network architecture without altering your application code. Istio makes it easier to implement canary deployments, circuit breakers, load balancing, and other architectural changes, while also offering service discovery, built-in telemetry, and transport layer security.

In Part 1, we showed you the metrics that can give you visibility into your Istio service mesh and Istio’s internal components. Observability is baked into Istio’s design—Mixer extracts attributes from traffic through the mesh, and uses these to collect the mesh-based metrics we introduced in Part 1. On top of that, each Istio component exposes metrics for its own internal workings.

At Codefresh, we know that any CI/CD solution must be attractive to both developers and operators (SREs). One of the major advantages of Codefresh is the graphical user interface that includes dashboards for Kubernetes and Helm deployments. These graphical dashboards are very useful to developers who are just getting started with deployments and pipelines.

AWS (Amazon Web Services) is an amazing and reliable cloud service provider. AWS, like Google Cloud Platform and Microsoft Azure, provides everything you need to host an application without having to worry about running the underlying servers and network configuration. Everything you need to quickly begin hosting is provided as a packaged services.

DevOps teams are increasingly looking toward Kubernetes as a scalable and effective way to package application containers of all sorts.. However, while Docker and Kubernetes have paved the way for the container and microservices revolution, there is still plenty of room for innovation. The strength of the Kubernetes tool lies in its ability to blend the simplicity of Platform as a Service with the stability of Infrastructure as a Service software.

Rancher is a single point of control to manage all your kubernetes clusters anywhere. Rancher 2.3.x was released a few weeks back and it came with huge updates. Top Features included Istio and Windows nodes support. In this article, we will mainly discuss Istio support offered out of the box through the Rancher UI, see an example deployment, and visualize it via the Kiali dashboard.

Redis is an in-memory data store. It’s predominantly a key/value store, so it does not have features in many relational databases. It can be used as a simple database, a cache, or as a pub/sub system. Since it’s all in-memory, it is very fast, but it also requires alot of memory. Amazon Web Services, Microsoft Azure, and Google Cloud Platform all provide their own managed Redis services. The available versions and features vary from provider to provider. Let’s take a closer look.