Read here to know more about the ideal scenarios when enterprises and DevOps teams should not consider Canary Deployment for their product release.
Canary deployments support the incremental release of the software components, it allows features to be updated/rolled out in phases. It is a technique to reduce the risk of bringing in an update in production by slowly rolling out the changes to a small subset of users before allowing users to access it.
Here, in this blog, we’ve discussed the various scenarios when teams should not consider implementing Canary release deployment. But, before we dive into this, let’s discuss what all does the DevOps teams require for executing a Canary deployment strategy.
There are two basic ways to deploy to Kubernetes: Imperative acts as a command which is active and immediate, whereas declarative is passive, by writing manifest file and using kubectl apply.
The imperative command is the first mode of managing objects, to use CLI for CUD (Create, Update, Delete) objects on Kubernetes cluster without specifying on manifest file ahead of time. They are a blessing for Kubernetes application developers and administrators because they are very easy to remember and handy. According to K8s, it’s like a ‘Swiss Army Knife” of container orchestration and management.
Imperative commands can help in getting tasks done quickly, as well as generating definition file templates easily. It saves a considerable amount of time and prevents human errors.
Read here to know which process should your team choose for a smooth and quick product release.
What is Canary Deployment?
Canary deployment is a technique to reduce the risk of updating software or introducing new changes in the production environment by slowly rolling out the change to a small subset of users before making the software functional for everyone.
Canary deployments provide the following benefits to businesses.
Allows enterprises to test in production with real users and use cases.
Enables comparison of different service versions side by side.
Cheaper than blue-green deployments because it does not require two production environments.
DevOps team can rapidly and safely trigger a rollback to a previous version of an application.
Scripting a canary release can be complex as manual verification or testing can sometimes become time-consuming.
Monitoring and instrumentation for testing in production may involve exhaustive research and additional skills & knowledge.
ISTIO has become a popular choice for service mesh among enterprises these days, allowing IT teams to add capabilities of observability, traffic management, and security to the apps. Here’s more on ISTIO and its architecture. Read further to know more!
What is ISTIO?
ISTIO Service Mesh is a configurable, open-source service-mesh layer that provides a way to control how microservices share data with one another. It offers a transparent and language-independent way to flexibly and easily automate the network functions within an application.
ISTIO allows IT teams to add capabilities of observability, traffic management, and security to the applications, without the need to add these to the original code. This frees the developers from the pains of writing codes for networking and security from scratch.
Moreover, Istio enables organizations to secure, connect, and monitor microservices, so they can modernize their enterprise applications at a faster pace and securely. This is why ISTIO installation on Kubernetes is being widely adopted by enterprises, both big and small, as the perfect solution to manage different microservices that together build a cloud-native application. ISTIO supports and handles how different parts of a microservices application communicate and share data with one another.
Here are some of the amazing benefits that deploying a Service Mesh can bring to your business. Read this to know more!
Benefits of Deploying a Service Mesh
From start-up to large enterprise, cloud-native to on-premises, organizations of all shapes, sizes, are deploying service mesh in Microservices to improve security, get complete observability, enhance security between service-service communications and to resolve security and networking challenges faced during Kubernetes deployment.
Here, we’ve discussed other such incredible benefits of deploying a Service Mesh. Read to know more!