DevOps Archives - Page 38 of 91 - DEVOPS DONE RIGHT.

All Redis Setup Under 7 Minutes!

Redis is a popular open-source in-memory database that supports multiple data structures like strings, hashes, lists, and sets. But similar to other tools, we can scale standalone Redis to a particular extent, but not beyond that. That’s why we have a cluster mode setup in which we can scale Redis nodes horizontally and then distribute data among those nodes.

Generally, we categorize the Redis setup into three different types:

Standalone
Leader-Follower (Replication)
Leader-Leader(Sharding)

Standalone Setup

In a Standalone setup, the complexity is minimal, but we cannot scale the solution if the data increases. Also, the fail-over and high availability will not be supported inside it.

Continue reading “All Redis Setup Under 7 Minutes!”

Deploying Azure Policy using Terraform Module

While working on Azure, you might come across a requirement that says the resources being deployed should be in accordance with the organization’s policies. Suppose you might want to grant a particular or a set of permissions on the resource group or on the management group so that the owner of it should be restricted like denying deploying of resources by enforcing resource tagging, region enforcement, allowing approved Virtual machines (VM) images, and many more.

In this blog, we will try to resolve these issues by applying Azure policies.

First, let’s get familiar with the azure policy.

The azure policy is a service that has been designed to help you enforce different rules and to act based on the rule’s effect on your Azure resources. You can use it to create, assign and manage policies. Azure policy evaluates your resources for non-compliance with assigned policies and performs the assigned effect.

Trigger Jenkins Job using AWS Lambda triggered by S3 Event

The problem that we faced:

There was a cron scheduled in our environment at a particular time which used to run at 8AM. This cron read data from the s3 bucket and used to succeed but failed when there were no objects present.

Problem this Integration solves:

Eliminates the need of keeping a scheduler in the system. Lambda will work as a Scheduler.
No manual intervention will be required in case the file from one service is delayed by a minute or an hour due to any reason.
Data exchange and processing between teams become more efficient and less error-prone.
Eliminates the need of checking the presence of files on S3. It all gets automated.

Continue reading “Trigger Jenkins Job using AWS Lambda triggered by S3 Event”

Kubernetes CSI: Container Storage Interface – Part 1

Introduction

There are different application categories in the general application world, but we usually define them in two major types, i.e., stateless and stateful applications. In Kubernetes, this distinction becomes especially important when designing and managing workloads.

To have a clearer perspective, we can say that API-based applications are generally stateless, and databases are stateful. In simple words or definition, a stateless application is an application that doesn’t save or persists the client data. On the other hand, a stateful application saves data about each client and uses it for other requests. Continue reading “Kubernetes CSI: Container Storage Interface – Part 1”

Deploying Terraform IAC Using Azure DevOps Runtime Parameters

Introduction

While deploying your same terraform code manually multiple times you must have got through the thoughts:

If we can automate the whole deployment process and replace the whole tedious process with few clicks.
If we can dynamically change the values of terraform.tfvars.
If we can restrict the regions of deployments.
If we can limit our VM types to maintain better cost optimization.

In this article, we will touch upon these problems and try to resolve them in a way that the same concepts can also be applied to similar requirements. Continue reading “Deploying Terraform IAC Using Azure DevOps Runtime Parameters”