Networking is at the heart of modern computing, facilitating communication between systems and applications. While networking is often abstracted away by high-level APIs, the underlying mechanics—especially in the Linux kernel—are intricate and fascinating. This blog explores the journey of a packet through the Linux kernel, shedding light on both ingress (incoming) and egress (outgoing) packet paths.

DNS resolution is a crucial aspect of Linux and Kubernetes environments. Understanding how DNS works in these systems can help you troubleshoot issues and optimize application performance. This article delves into the complexities of DNS configuration, highlighting best practices for managing DNS in Kubernetes.

GitHub, traditionally known for code hosting and version control, offers a versatile platform that can be harnessed as a powerful second brain. Imagine having a digital repository that not only stores your notes and ideas but also tracks changes, facilitates collaboration, and integrates seamlessly with your workflow.

Linux networking is a complex landscape, but understanding the right tools can help you navigate it effectively. This post explores essential tools like tcpdump, ethtool, ss, netstat, and ip to monitor, troubleshoot, and optimize your Linux network.

In the dynamic realm of containerized applications, robust network isolation is paramount. Network Namespaces (netns), a cornerstone of container networking, provide this crucial layer of separation. By encapsulating a complete network stack – interfaces, IP addresses, routing tables – within a distinct namespace, netns empowers containers to operate with their own independent network environments.

Cgroups, a powerful Linux kernel feature, provide a fine-grained control over system resources. By organizing processes into hierarchical groups, you can allocate, limit, and account for resources like CPU time, memory, disk I/O, and network bandwidth. This guide will delve into the intricacies of cgroups, exploring their configuration, usage, and practical applications in containerization and resource management.

As infrastructure complexity grows, SLOs help organizations focus on reliability metrics that impact users. Unlike traditional alerting, which can be noisy and arbitrary, SLO-based alerts are user-centric, aligning system health with real user experience.

Creating efficient Docker images is a critical step in optimizing containerized applications. Bloated images can slow down deployments, increase storage costs, and expose unnecessary security risks. This blog explores best practices for minimizing Docker images, such as using smaller base images, leveraging multi-stage builds, and cleaning up unnecessary files. By following these strategies, you can create leaner, faster, and more secure containers, improving performance and scalability in your development and production workflows.

Container images are the building blocks of containerized applications. They are self-contained packages that include everything an application needs to run: code, libraries, configurations, and more. This blog post dives into the concept of container images, explaining their structure, naming conventions, and popular registries.