Hands‑on DevOps operations using Docker, K8s, Jenkins, and Ansible—empowering ops professionals to grow together through sharing, discussion, knowledge consolidation, and continuous improvement.
This guide explains how to use tcpdump on Linux to capture all traffic, filter by IP or port, save to files, read pcap files, and apply advanced filters, while highlighting important security, permission, and storage considerations.
This guide explains how to diagnose and fix ELK index synchronization failures caused by unassigned primary shards by checking cluster health, deleting faulty indices, and confirming the cluster returns to a green state using Elasticsearch and Cerebro tools.
This guide explains how to identify and remove outdated Elasticsearch indices by listing shards, filtering target indices, deleting them with a shell loop, and automating the process with a scheduled cron job, helping keep ELK performance optimal.
This comprehensive course provides a deep dive into Kubernetes networking, covering core concepts, network models, policies, plugins, traffic management, security, multi‑tenant, cross‑cloud, and hybrid‑cloud designs, and offers hands‑on performance optimization techniques across more than 60 video modules.
This article outlines a five‑week large‑model training curriculum, detailing weekly topics such as transformer fundamentals, encoder‑decoder architectures, self‑attention, LoRA fine‑tuning, and quantization, along with associated video lectures and PDF slide decks for developers.
This document outlines a detailed training curriculum covering backend development, cloud-native technologies, microservice frameworks, databases, messaging systems, containerization, orchestration, performance tuning, and related tools, presented as a series of numbered sessions with practical labs and theory.
This article presents a detailed syllabus covering advanced programming techniques, database optimization, essential project knowledge, and in‑depth tutorials on backend frameworks such as Flask and Django, outlining over 70 lecture topics ranging from class fundamentals to deployment, security, and full‑stack project implementation.
This extensive training program covers everything a data center operations engineer needs—from foundational infrastructure management and server hardware maintenance to advanced network configuration, security hardening, monitoring, fault handling, and practical hands‑on skills for real‑world challenges.
This article explains why MySQL master‑slave replication can become delayed—including single‑threaded binlog processing, high load, network latency, and configuration issues—and provides detailed troubleshooting steps and practical solutions such as semi‑synchronous replication, hardware upgrades, and configuration tuning.
The article defines large database transactions, explains their performance and replication risks, offers practical guidelines to avoid them, demonstrates a MySQL example that creates and repeatedly inserts data to illustrate growing execution time, and discusses challenges and solutions for handling massive tables in high‑traffic environments.
