DevOps DevSecOps & SRE

Posting on behalf of @Farzindxb

https://github.com/mtalavi/coolify-mirror

Coolify Mirror, a free, independent open-source tool for moving Coolify apps and data between servers. Create a backup on the source, restore with one command on the target, and review before confirming.

Send feedbacks to @Farzindxb

The second edition of UbuCon India by the Ubuntu India LoCo dedicated to the Ubuntu ecosystem and the broader Free and Open Source Software (FOSS) community in India. Our mission is to provide a platform for developers, users, contributors, and enthusiasts to learn, share, and collaborate. The conference aims to foster community growth and showcase the latest advancements and applications of Ubuntu and related technologies.

Also there is discount coupons for professional pass holders for Canonical Academy exams

https://konfhub.com/ubucon-india-2026?utm_source=tg&utm_campaign=ref

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