You have an application consisting of 5 different microservices working seamlessly locally, now time to deploy them somewhere. what are your options if you want to use AWS cloud? well not much, use AWS native Kubernetes solution EKS (Elastic Kubernetes Service) or deploy Kubernetes on a bunch of EC2 instances. declare at least one as master and at least 1 as Node and manually install dependencies on each EC2 instance. looks like too much labor work right? Well, it's true… but the Pros are it's Cheap when compared to EKS.

Hmmm.. did I just say EKS is expensive? let's calculate…


Velero + AKS = Good nights sleep

Docker and Kubernetes are the modern-day runtime environments in almost every company who aims to implement cutting edge technology. It gives so many conveniences out of the box like rolling deployments, high availability, restarting failed containers (aka self-healing), well-managed secrets, and the list goes on...

Kubernetes also provides something called persistent volumes meaning storing container data outside the container. So if the container dies, a new container is brought up and is linked to the persistent volume without losing data. Isn’t that great? well, Kubernetes does that for you. If Kubernetes is doing so much why do you need something…


AWS Lambda is an event-driven serverless computing service, which is a “done-for-you” service provided by AWS. It removes the hassle of server management from developers, allowing you to focus on what matters: the code.

The concept of Lambda is simple: You write code in your supported language of choice and upload it to a magic box, where it will (theoretically) be executed in response to defined triggers. However, veteran Lambda users will be familiar with the following error message:

deployment package of your Lambda function is too large to enable inline code

Yes, that’s right. You have deployed your code…

ojas kale

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