Apache Kafka, born at LinkedIn in 2010, has revolutionized real-time data streaming and has become a staple in many enterprise architectures. As it facilitates seamless processing of vast data volumes in distributed ecosystems, the importance of visibility into its operations has risen substantially. In this blog, we’re setting our sights on the step-by-step deployment of a containerized Kafka cluster, accompanied by a Python application to validate its functionality. The cherry on top?

It’s been only a few days since the Bun 1.0 announcement and it’s taken social media by storm! And rightly so. Bun promises better performance, and Node.js compatibility and comes with batteries included. It comes with a transpiler, bundler, package manager and testing library. You no longer have to install 15 packages before writing a single code line. It creates a standardised set of tools and addresses the fractured nature of the Node.js ecosystem.

As Kubernetes adoption surges across the industry, AWS EKS stands out as a robust solution that eases the journey from initial setup to efficient scaling. This fully managed Kubernetes service is revolutionizing how businesses handle containerized applications, offering agility, scalability, and resilience.

RabbitMQ is a popular open-source message broker that facilitates communication between different components of a distributed system. Monitoring a RabbitMQ instance is crucial to ensure its health, performance, and reliability. Monitoring allows you to identify and address potential issues before they escalate, ensuring smooth communication between various parts of your application.

Kubernetes v1.28 comes with multiple new enhancements this year and we’ve already covered an overview of those in our previous blog, Do check this out before diving into sidecar containers. We’re going to completely focus on the new sidecar feature for this post, which enables restartable init containers and is available in alpha in Kubernetes 1.28.

RabbitMQ is a household name in the world of application development and system architecture. Acting as a middleman for communication, it seamlessly bridges the gap between various application components. If you’ve been contemplating the integration of RabbitMQ into your infrastructure or simply want to better understand its functionalities, this blog post is for you. Here are the top 8 things to know.

Since its inception, Amazon Elastic Container Service (ECS) has emerged as a strong choice for developers aiming to efficiently deploy, manage, and scale containerized applications on AWS cloud. By abstracting the complexities associated with container orchestration, ECS allows teams to focus on application development, while handling the underlying infrastructure, load balancing, and service discovery requirements.