DevOps DevSecOps & SRE

https://github.com/ministackorg/ministack

Posting on behalf of @MrNamazizadeh who has launched https://www.udemy.com/course/docker-for-beginners-fast-hands-on-training/ There is a 100% discount on this course. Please contact @MrNamazizadeh for discount code.

Personal Blog for those interested in CRO: https://medium.com/@iamrawtion/part-3-how-to-decide-which-cro-test-to-run-first-901a182103c9

DNS Resolution Flow Explained Ever wondered what happens after you type a domain name into your browser? DNS translates human-readable domain names into IP addresses through multiple steps—OS Resolver, Recursive Resolver, Root Server, TLD Server, and Authoritative DNS Server—before your browser connects to the website. Understanding this flow is essential for troubleshooting networking, Kubernetes, cloud, and application connectivity issues. 📖 Learn the DNS resolution process and master networking fundamentals. Content Credit: Nagarani Sunke linkedin post: https://www.linkedin.com/groups/6585254/?highlightedUpdateUrn=urn%3Ali%3AgroupPost%3A6585254-7475586586609377280&q=highlightedFeedForGroups #DNS #Networking #DevOps #Kubernetes #CloudComputing #Linux #SRE #SystemDesign #Infrastructure #TechLearning

🛠️ DevOps Tool of the Week: Inspektor Gadget Inspektor Gadget brings Kubernetes-aware observability to eBPF by mapping kernel events directly to Pods, containers, and namespaces. It enables real-time tracing, debugging, packet capture, and runtime security insights while helping engineers troubleshoot Kubernetes workloads with minimal overhead. Content credit: DevOpsCube Linkedin link: https://www.linkedin.com/posts/kubernetes-ai-share-7479489391028264960-2kyp/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFCO0B4BD6DEmkdKDOMFYP9rusautbTY9lY Github repo: https://github.com/inspektor-gadget/inspektor-gadget #DevOps #Kubernetes #eBPF #Linux #Observability #CloudNative #PlatformEngineering

🔍 Monitoring vs Observability Monitoring tells you when something is wrong, while observability helps you understand why it happened. By combining metrics, logs, and traces, engineers can investigate unexpected issues, reduce downtime, and improve system reliability beyond predefined alerts. 🔗 Original post by Arjun Bajpai: https://www.linkedin.com/feed/update/urn:li:groupPost:6585254-7478157406817087489/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFCO0B4BD6DEmkdKDOMFYP9rusautbTY9lY #Observability #Monitoring #DevOps #SRE #OpenTelemetry #Prometheus #Grafana #Kubernetes

🔄 Maven Build Lifecycle Explained Understanding the Maven lifecycle is essential for building reliable CI/CD pipelines. Each phase—from validate and compile to package, install, and deploy—plays a specific role in the build process. Knowing how these phases work makes troubleshooting build failures and pipeline design much easier. 🔗 Original post: https://www.linkedin.com/feed/update/urn:li:groupPost:6585254-7478300769452969984/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFCO0B4BD6DEmkdKDOMFYP9rusautbTY9lY Credit: Sai Praneeth #Maven #DevOps #Java #CICD #BuildAutomation

NodeLocal DNSCache improves Kubernetes DNS performance by caching DNS queries locally on each node. It reduces lookup latency, lowers CoreDNS load, minimizes conntrack usage, and enhances cluster scalability—making it a valuable optimization for production Kubernetes environments. LinkedIn Post: https://www.linkedin.com/feed/update/urn:li:groupPost:6585254-7478330480031866880/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFCO0B4BD6DEmkdKDOMFYP9rusautbTY9lY Credits: Sulaiman S

A well-designed Grafana dashboard helps engineers identify issues quickly by focusing on the metrics that matter. Learn which Kubernetes, container, application, and infrastructure metrics should be monitored for effective troubleshooting and faster incident response. LinkedIn Post: https://www.linkedin.com/feed/update/urn:li:groupPost:6585254-7479335144928014336?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFCO0B4BD6DEmkdKDOMFYP9rusautbTY9lY&utm_campaign=copy_link Credits: Original content by Sai Praneeth.

AWS offers a wide range of services, but mastering the fundamentals is the key to building scalable and secure cloud solutions. This visual guide by Dipak Chavan covers 12 essential AWS concepts, including IAM, EC2, S3, VPC, Lambda, CloudWatch, Route 53, CloudFront, and more—perfect for beginners and DevOps engineers. Credits: Dipak Chavan. Link :- https://www.linkedin.com/posts/dipakchavank_aws-cloudcomputing-devops-activity-7474600688589914112-EfM-?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFCO0B4BD6DEmkdKDOMFYP9rusautbTY9lY&utm_campaign=copy_link

Prometheus is one of the most popular open-source monitoring tools in the DevOps ecosystem. It collects, stores, and queries time-series metrics to help monitor infrastructure and applications. Learn its architecture, TSDB, exporters, service discovery, Alertmanager, Pushgateway, and PromQL in this detailed guide from DevOpsCube. 🔗 LinkedIn:https://www.linkedin.com/posts/prometheus-devops-share-7475412215987212288-vlaS/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFCO0B4BD6DEmkdKDOMFYP9rusautbTY9lY article link: https://devopscube.com/prometheus-architecture/ Credits: Content by Arun Lal, DevOpsCube.

Promotion https://discord.gg/vw3jXtTxB Web hacking platform https://webverselabs-pro.com/ Access to free labs and challenge and learning track

🚀 SonarQube helps catch code issues before they reach production. It performs static code analysis to detect bugs, vulnerabilities, code smells, and maintainability issues early in the CI/CD pipeline. Quality Gates ensure only reliable code moves forward, improving software quality and reducing technical debt. 📌 Content Credit: Sai Praneeth 🔗 Original LinkedIn Post: https://www.linkedin.com/feed/update/urn:li:groupPost:6585254-7476671478801801216?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFCO0B4BD6DEmkdKDOMFYP9rusautbTY9lY&utm_campaign=copy_link

🚀 Nexus Repository acts as the single source of truth for build artifacts. Instead of rebuilding applications for every environment, CI/CD pipelines publish artifacts once and deploy the exact same version everywhere. Nexus also proxies dependencies, manages versions, and improves build reliability through artifact caching. #DevOps #PlatformEngineering #CI #CD #ArtifactRepository Content Credit: Sai Praneeth (DevOps & SRE Discussions) Original LinkedIn Post: https://www.linkedin.com/feed/update/urn:li:groupPost:6585254-7477551370045153280?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFCO0B4BD6DEmkdKDOMFYP9rusautbTY9lY&utm_campaign=copy_link

Promotion 1. https://medium.com/@iamrawtion/from-apache-benchmark-to-a-b-testing-a-devops-guys-cro-journey-5ff76a502363 2. https://medium.com/@iamrawtion/part-2-the-experiments-that-actually-move-the-number-79eaa47b2869

🛠️ Helm Chart Testing (ct) helps automate Helm chart validation in CI/CD pipelines. It can lint charts, detect changed charts in pull requests, and test deployments before merging. For teams maintaining Helm repositories, ct provides an additional layer of confidence beyond standard helm lint checks. #Helm #Kubernetes #DevOps Github Repo: https://github.com/helm/chart-testing

🛠️ DevOps Tool of the Week: AirLLM Running large LLMs locally usually requires massive GPU memory. AirLLM takes a different approach by loading model layers into VRAM only when needed during inference. This enables models as large as 70B parameters to run on GPUs with as little as 4GB VRAM. #AI #LLMOps #DevOps Content Credit: DevOpsCube link to the post- https://www.linkedin.com/posts/llm-mlops-devopstools-share-7471516866088452096-qt_9/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFCO0B4BD6DEmkdKDOMFYP9rusautbTY9lY GitHub Repository: https://github.com/lyogavin/airllm

🚀 _helpers.tpl helps keep Helm charts clean and maintainable. By defining reusable named templates and including them across Deployments, Services, and other resources, teams can centralize labels, annotations, and common logic. Similar to shared libraries in CI/CD, but scoped to a Helm chart. #Helm #Kubernetes #PlatformEngineering #DevOps Content Credit: Sulaiman S (DevOps & SRE Discussions) link: https://www.linkedin.com/feed/update/urn:li:groupPost:6585254-7468157671863545856/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFCO0B4BD6DEmkdKDOMFYP9rusautbTY9lY Source Article: https://devopscube.com/_helpers-tpl-file-in-helm-charts/

🔐 SSL/TLS termination is more than decrypting HTTPS traffic. Where you terminate TLS—at CloudFront, ALB, NGINX Ingress, or inside a service mesh—directly affects security, observability, routing, compliance, and performance. Choosing between TLS termination, passthrough, or end-to-end mTLS is a key cloud architecture decision. #AWS #Kubernetes #CloudSecurity #mTLS #DevOps Content Credit: Kalijavedu BhanuPrakash Reddy Link : https://www.linkedin.com/posts/kalijavedubhanu_aws-kubernetes-eks-share-7465947569047736320-v_mr/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAFCO0B4BD6DEmkdKDOMFYP9rusautbTY9lY

AI agents are moving into production, but they still need observability, governance, and operational controls. kagent brings agent workloads directly to Kubernetes, allowing teams to deploy, monitor, and manage AI agents using existing cloud-native tooling and workflows. An interesting project from the creators of Istio. #AIAgents #Kubernetes #PlatformEngineering #DevOps #AIOps source: https://github.com/kagent-dev/kagent