center

Data Engineer

The article introduces a new Kubernetes operator called Featherman. This operator simplifies the process of integrating DuckDB as a data lake within your Kubernetes cluster workloads.
The author highlights the complexity of modern data stacks, which motivated them to develop this new Custom Resource Definition (CRD) and operator. The goal is to reduce multiple configurations, streamline operational time, and more.

The article presents a list of tools for data purposes. It offers a concise summary and an initial overview of each tool’s functionality and usage.
If you’re looking to explore new tools or deepen your understanding, I highly recommend starting with articles like this one; they are truly insightful.

Developer

This article explores ten popular patterns that users should learn when leveraging Kafka for streaming or event processing, including concepts like Change Data Capture (CDC), Dead Letter Queues (DLQ), Replayable streams, and Fan-Out. This demonstrates why Kafka remains one of the leading streaming platforms in the technology world.
Throughout the article, you’ll discover additional Kafka features and innovative ways others have utilized it for various purposes.

This article offers excellent instructions, guiding you from setting up a basic Kubernetes Cluster on AWS EC2 with K3s via K3sup, to successfully building a CI/CD pipeline that combines Argo CD and GitHub Actions for a complete GitOps cycle. While not a new concept, this represents a modern approach in current practices. It’s a great starting point for beginners and a useful recap for those looking to replicate the author’s cluster setup.
I was particularly impressed by this article because the author includes code snippets and illustrations. This provides users with more comprehensive information on where and how to execute scripts or perform actions.

True to its title, this article offers a comprehensive guide for constructing an end-to-end Kubernetes infrastructure, leveraging contemporary tools and paradigms. These encompass Infrastructure as Code (Terraform), GitOps (Argo CD), CI/CD (Argo Workflows), security (Trivy), package management (Helm), monitoring (KubeStack-Prometheus), and progressive delivery (Argo Rollouts), among other critical components.
The article provides a detailed roadmap of the requisite steps and actions for Kubernetes deployment. Adhering to this guide can result in a meticulously configured, production-ready cluster, characterized by simplified maintenance and alignment with global technological innovations, bolstered by extensive community support.

The author highlights the complexity of operating Ingress controllers in Kubernetes, particularly within large and continuously growing clusters. Recognizing this challenge, the author aims to address this gap by proposing a solution: integrating Argo CD (using an “Apps to Apps” concept) with the Envoy Ingress Controller to serve as a core component of the Kubernetes cluster.
In the first part of the article, the author introduces Envoy Gateway and illustrates how Envoy can be a suitable solution through diagrams. Leveraging Envoy brings powerful features such as Class Gateway definitions, ProxyConfig, and SecurityPolicy.
Further into the article, the author provides highly detailed, step-by-step instructions for setting up Envoy, writing manifest files for its usage, and integrating it into Argo CD Applications. Notably, at the end, the author points out several problems or issues that need consideration when applying their concept, particularly those related to Argo CD, permissions, and configurations.

The article serves as an excellent introduction for anyone looking to build and deploy StatefulSet applications in Kubernetes. While it might seem straightforward for beginners, those with long-term experience in Kubernetes will find StatefulSets to be quite complex. Managing them, especially when updates are required, can be particularly challenging as a single workload type.
For these reasons, I recommend reading this article. It provides valuable insights into best practices, outlining the necessary actions and planning involved in operating StatefulSet workloads in Kubernetes. The author includes two or three practical examples, which are very effective in helping you understand and work with StatefulSet applications.

This article clearly outlines what I assume are the top five mistakes related to indiscreet or deliberate misconfigurations in Kubernetes, particularly concerning security contexts, network exposure, and RBAC permissions. All of these can lead to vulnerabilities in your system. Throughout the article, you’ll learn how to protect your cluster in various situations, emphasizing the importance of understanding your actions.
I believe these mistakes are common in many Kubernetes clusters. While patching them isn’t difficult, it’s crucial to be aware of them before your cluster becomes a target for attacks.

Observability is increasingly crucial for any product. With the evolution of AI, the observability landscape is experiencing significant progress year by year. This article offers insights into the trends for 2025, enabling you to upgrade your skillset.
It introduces various key concepts, such as data management, AI-driven prediction, AI intelligence, observability for AI workloads, and AI-Powered Full-Stack Observability. These topics provide ample opportunities for discussion. Identifying the core insights will lead to success, open new challenges, and facilitate significant achievements in the near future.

Parallel to the evolution of observability, GitOps, while not novel, has experienced considerable modernization, embracing numerous contemporary methodologies. A foundational understanding of its core tenets—namely, pull and push models—is essential to fully leverage the advantages conferred by prominent tools such as Argo CD or Flux CD.
The article elucidates the historical trajectory, developmental growth, and compelling rationales underpinning the burgeoning adoption of GitOps.