DevOps Archives - Page 23 of 91 - DEVOPS DONE RIGHT.

Mastering AWS RDS Backups: Navigating Encryption Challenges with AWS Key Management Service (KMS)

In today’s cloud-centric landscape, businesses are increasingly adopting multi-account, multi-region AWS (Amazon Web Services) architectures for their applications. While this approach offers numerous benefits, it also introduces complex challenges when it comes to managing backups for Amazon RDS (Relational Database Service) instances across multiple accounts and regions. In this blog post, we will delve into these challenges and explore effective solutions for securing your RDS data.

Kernel Patching with the help of Loop Script

What is Kernel Patching?

The operating system kernel is the central component that controls system resources and enables hardware and software connection. Kernel patching is the act of changing or maintaining the kernel’s source code.

When to choose this type of patching?

Organizations that are thinking about kernel patching usually assess how well the available solutions work with the particular kernel version they are using, test extensively in a non-production setting, and set up reliable backup and rollback procedures to reduce risks in the production environment.

It’s critical to thoroughly evaluate the organization’s particular requirements and risks, as well as the advantages and disadvantages of kernel patching. Other considerations that might impact the choice include the organization’s overall risk tolerance, regulatory requirements, and how critical the systems are.

Amazon ECR Container Images Across Accounts or Regions

Want to implement an AWS Elastic Container Registry Replication practice in your DevOps solution? But don’t know how to start and where to go. Folks, now you are on the right path.

We’re pursuing this to safeguard our production resources in the ap-south-1 (Mumbai) region from potential disasters and connectivity issues. Ensuring resource distribution across other AWS regions is critical. Our microservices-driven applications rely on Docker images, including custom ones crucial for disaster recovery. AWS Container Registry offers a secure, efficient solution for storing and managing Docker images, simplifying image storage, and enabling seamless sharing across private or public environments.

So, here you may wonder how we can replicate the same images from its registry to another AWS Account(cross-accounts) or in the same account in different regions(cross-region).

Pre-requisite:

Need two AWS Accounts with admin access to Amazon ECR service and programmatic access for it(to pull/push images).
Login/Signup: https://aws.amazon.com/console/

Note: 1st AWS Account: Source account

2nd AWS Account: Destination account

Enough theory part let’s take action for this,

Nifi Cluster Setup with External Zookeeper

Apache NiFi is an open-source data integration and automation tool that enables the automation of data flow between different systems. NiFi provides a user-friendly interface to design, control, and manage the flow of data between various sources and destinations. The tool is particularly useful in handling data from different sources, applying transformations, and routing it to different systems in real-time.

Why use the Nifi cluster over the standalone?

Performance: Clusters can handle higher throughput and provide better performance than standalone instances due to load distribution.
Fault Tolerance: Clusters provide high availability and fault tolerance such as if one node fails, the other nodes take over the processing.
Scalability: Clusters allow for scalability by adding more nodes, whereas standalone instances have limitations in scaling.

The Fallacies of Platform Engineering

Delve into the intricacies of implementing platform engineering strategies and the misconceptions that surround it.

In today’s rapidly evolving tech landscape, the significance of platform engineering cannot be overstated. It serves as the bedrock upon which countless digital ecosystems are built, from mobile applications to cloud-based services and everything in between. Yet, for all its importance, the world of platform engineering is riddled with misconceptions & misunderstandings that can lead to costly mistakes, project delays and suboptimal outcomes. To navigate this complex terrain successfully, it is crucial to identify and address these fallacies head-on.

By exposing these fallacies and offering insights into platform engineering best practices, we aim to empower engineers, developers and decision-makers to make more informed choices and in turn, create more robust and effective platforms.

Throughout this exploration, we’ll delve into the intricacies of implementing platform engineering strategies, examining its core principles and the misconceptions that surround it. We’ll also discuss real-world examples and case studies to illustrate the consequences of falling prey to these fallacies.