Currently, the most well-known service mesh is Istio with the backing of Lyft, Google, and IBM. However, there are many options to choose from. Service meshes are all the rage in the Kubernetes world these days, but a lot of people seem to be a bit confused as to what they do and why (when) they need one. The best way to think of a service mesh is to imagine well...a mesh!
Service meshes are all the rage in the Kubernetes world these days, but a lot of people seem to be a bit confused as to what they do and why (when) they need one. The best way to think of a service mesh is to imagine well...a mesh! The service mesh is a configurable, low‑latency infrastructure layer designed to handle communication between the processes among different services using application programming interfaces (APIs). It ensures that communication among containerized and often ephemeral application infrastructure services is fast, reliable, and secure. The mesh also provides critical capabilities that include:
The service mesh is usually implemented by providing a proxy instance, called a sidecar, for each service instance. Sidecars handle inter-service communications, monitoring, and security‑related concerns - anything can be abstracted away from the individual sources. This way, developers can handle development, support, and maintenance for the application code in the services; operations teams can maintain the service mesh and run the app.
Currently, the most well-known service mesh is Istio with the backing of Lyft, Google, and IBM. However, there are many options and the tool I'm going to show you today is going to help you get started with your first service mesh on various platforms.
Let's go ahead and check out SuperGloo!
With all of the varied offerings in the service mesh landscape, it makes it difficult to take on the complexities of experimenting with even a single service mesh solution, let alone multiple ones. The goal of SuperGloo is to take charge of these complexities and make it easy for users to deploy multiple service meshes into their environment.
SuperGloo abstracts away key functionalities associated with the service mesh such as:
Using tools like SuperGloo, you can pair any service mesh with any ingress, and leave it to the abstraction to take care of the installation and configuration necessary to let them work together.
Let's try it out!
supergloo command-line makes it much easier to install and operate SuperGloo, though it is not required.
To install using the Homebrew package manager, run the following.
brew install solo-io/tap/supergloo
To install on any platform run the following.
curl -sL https://run.solo.io/supergloo/install | sh
You can download the CLI directly via the GitHub releases page. You need to add SuperGloo to your path after downloading.
Verify the CLI is installed and running correctly with:
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