Strategies for Monitoring Cloud-Based Data Processing

In the modern digital era, efficient data processing has become essential for businesses to gain insights, make informed decisions and stay competitive. The rise of cloud computing and cloud migration leads to the origin of cloud-based data processing solutions with high scalability, flexibility and cost effectiveness. These are used by enterprises to handle massive volumes of data.

However, maintaining the structure and performance of these cloud-based systems requires continuous monitoring of the system as well as careful planning of the implementation process. Here, in this blog, we’ll we’ll delve into key strategies for effectively monitoring cloud-based data processing.

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Platform Engineering’s Impact on IT and DevOps 

Delve into the fundamental concepts of Platform Engineering and its profound implications for IT and DevOps teams.

In an era of ever-evolving digital landscapes, businesses and organizations are continually seeking ways to streamline operations, enhance collaboration and accelerate the delivery of innovative solutions to their customers. This is where Platform Engineering emerges as a game-changer, revolutionizing the way we approach IT infrastructure and DevOps implementation.

In this blog, we’ll delve into the fundamental concepts of Platform Engineering and its profound implications for IT and DevOps teams. We’ll uncover how Platform Engineering fosters a culture of agility, efficiency and scalability, ultimately empowering businesses to thrive in today’s fast-paced and competitive market.

So, let’s embark on this enlightening journey, immersing ourselves in the world of Platform Engineering. Discover how platform engineering reshapes the landscape of IT and DevOps. Let’s delve in!

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Checkov a Must Tool for Infra CI

As organizations move more of their operations to the cloud, the need for secure and compliant infrastructure becomes increasingly important. With the rapid pace of cloud adoption, it’s crucial to have a tool that can help you ensure that your cloud infrastructure is configured securely and in compliance with best practices. So in today’s blog, we will be talking about a solution for all these problems which is Checkov.

 What is Checkov?

Checkov a must tool for infra CI

Checkov is a tool that helps developers and operations teams ensure that their infrastructure is secure and compliant with best practices. It does this by automatically scanning infrastructure as code (IaC) and runtime environments for issues that could potentially lead to security vulnerabilities or compliance failures. Checkov works by scanning code written in various IaC languages (such as Terraform, CloudFormation, and ARM templates) and looking for patterns that could indicate security or compliance risks. It can also be integrated into a continuous integration/continuous deployment (CI/CD) pipeline, allowing it to scan code automatically as it is being developed and deployed.

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Know How to Access S3 Bucket without IAM Roles and Use Cases

We all have used IAM credentials to access our S3 buckets. But it’s not a very safe or recommended practice to keep our Access keys and Secrets stored in a server or hard code them in our codebase.
Even if we have to use keys, we must have some mechanism in place to rotate the keys very frequently (eg: using Hashicorp Vault). Another widely adopted method is to use IAM roles attached on the EC2 instance or the AWS service accessing the bucket.

But, what if we need access to the bucket from an on-premise Data Center where we can not attach an IAM role?

Yes, we can obviously use IAM credentials and secret tokens with the rotating mechanism. But setting up the key rotation mechanism itself could be another overhead if we do not have one already in place. What if we do not require keys or roles without making the bucket public?

In this blog, I will make an attempt to cater to this problem with another alternate and easy solution.

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Learn the Hacks for Running Custom Scripts at Spot Termination

Nowadays, it is very common to run applications on Spot instances. In this scenario, where a spot instance could be terminated at any point of time because of AWS pulling back their resource or ASG Scale-In incident, we need to have something in place to handle the termination smoothly so that we can complete our final tasks before the system shutdown. It could be executing some scripts, unmounting some storage device, shipping final log files to S3, or uploading cache data in a centralized server like Redis.
Today, I will attempt to cater to this problem.

First of all, let’s think of trying to run a custom script prior to shutdown in our local system. If everything works fine, the same would be applicable for ec2 spot instances too.

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