Nefta Anaya’s Post

🎉 𝐓𝐡𝐞 𝟕𝟓+ 𝐡𝐨𝐮𝐫𝐬 𝐨𝐟 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐀𝐝𝐦𝐢𝐧𝐢𝐬𝐭𝐫𝐚𝐭𝐨𝐫 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝟏𝟎𝟎% 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐫𝐞𝐚𝐥 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞𝐬 𝐛𝐲 𝐌𝐫. Vimal Daga 𝐂𝐨𝐧𝐜𝐥𝐮𝐝𝐞𝐝 🎉. 🌟𝐀𝐧 𝐮𝐧𝐜𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐩𝐚𝐭𝐡 𝐭𝐨 𝐃𝐞𝐯𝐎𝐩𝐬 𝐣𝐨𝐮𝐫𝐧𝐞𝐲 𝐰𝐢𝐭𝐡 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐢𝐬𝐧'𝐭 𝐢𝐭?🌟 🚀 𝐃𝐢𝐝 𝐭𝐡𝐢𝐬 𝐞𝐱𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐥𝐞𝐚𝐯𝐞 𝐲𝐨𝐮 𝐟𝐞𝐞𝐥𝐢𝐧𝐠 𝐫𝐞𝐚𝐝𝐲 𝐭𝐨 𝐭𝐚𝐜𝐤𝐥𝐞 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐰𝐢𝐭𝐡 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬? ⚜ 𝐓𝐨𝐩𝐢𝐜𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝.⚜ 📌 Kubernetes Scheduler 📌 Minikube setup 📌 Kubectl command 📌 Environmental Variables 📌 Pod & Container 📌 Metadata Concept 📌 Deployment 📌 Kube-Scheduler Program 📌 Traffic Management 📌 Horizontal Scaling 📌 Load-Balancer 📌 Replicas Concept 📌 Scalling 📌 Public & Private IP 📌 Multi Container Pod 📌 YAML language 📌 Equality-Based & Set-Based Selector 📌 Replication Controller(RC) 📌 Difference b/w apply & create command 📌 Difference b/w Replication Controller & Replica Set 📌 Outbound & Inbound Traffics 📌 Protocols- UDP, TCP, SCTP 📌 Mutable & Immutable SVC 📌 NAT Concepts 📌 Rolling Update Strategy 📌 Drawbacks of Recreate Strategy 📌 Canary & A/B Deployment 📌 Trigger Concept 📌 Difference B/w OpenShift & K8S 📌 Rolling update 📌 Blue/green deployment 📌 Shadow deployment 📌 Slow rollout deployment 📌 Control in blue green deployment 📌 Deployment Strategies 📌 Kube-Api Server Program 📌 MaxSurge & MaxUnavailable 📌 Kube-API 📌 Kube-Proxy 📌 Kubelet 📌 Underlay & Overlay Network 📌 Bird & Felix Program 📌 Auto Provisioning 📌 Ingress Controller  📌 Routing 📌 Network Policy 📌 Container Security 📌 Service Account 📌 Custom resource & Custom resource definition 📌 Secret 📌 Namespace 📌 Configmap 📌 Persistent Mount 📌 Authentication  📌 Role Based Access Control 📌 User Management 📌 Node Selecter  📌 Node Affinity  📌 Taint & Tolerance 📌 DaemonSet  📌 Static Pod  📌 Scheduler  📌 Flannel Network  📌 Security Group  📌 Network Policy 📌 Statefulsets - Headless Service  📌 Persistent Volume  📌 Multi Container - POD 📌 Limits  📌 Quotas  📌 Security Constant 𝐖𝐞 𝐚𝐫𝐞 𝐬𝐮𝐫𝐞 𝐭𝐡𝐚𝐭 𝐲𝐨𝐮 𝐡𝐚𝐝 𝐚 𝐭𝐡𝐫𝐢𝐥𝐥𝐢𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐕𝐢𝐦𝐚𝐥 𝐒𝐢𝐫 𝐝𝐮𝐫𝐢𝐧𝐠 𝐭𝐡𝐢𝐬 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠. 𝐀𝐥𝐬𝐨, 𝐧𝐨𝐰 𝐭𝐡𝐚𝐭 𝐲𝐨𝐮'𝐯𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝 𝐚𝐛𝐨𝐮𝐭 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬, 𝐡𝐨𝐰 𝐝𝐨 𝐲𝐨𝐮 𝐟𝐞𝐞𝐥 𝐚𝐛𝐨𝐮𝐭 𝐲𝐨𝐮𝐫𝐬𝐞𝐥𝐟 𝐚𝐧𝐝 𝐲𝐨𝐮𝐫 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬? 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫𝐰𝐚𝐫𝐝 𝐭𝐨 𝐡𝐞𝐚𝐫 𝐲𝐨𝐮𝐫 𝐭𝐡𝐨𝐮𝐠𝐡𝐭𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐦𝐞𝐧𝐭 𝐛𝐞𝐥𝐨𝐰 👇 !

Wrote a quick guide to Docker, starting with the basics of containerization and progressing to more advanced concepts like Docker Compose. focusing on how to build, manage, and scale multi-container applications, work with services, volumes, and networks, and use Compose to simplify workflows. Tried to cover critical features like environment variables, secrets, health checks, and multi-environment setups. Please provide feedback if you like the content. https://lnkd.in/gn9DNPPk

𝐃𝐨𝐜𝐤𝐞𝐫 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 1. Understanding Docker Fundamentals - Learn the core concepts and benefits of Docker, such as containers, images, and the Docker engine. 2. Docker Installation and Setup - Install Docker on your system and configure it for use. 3. Working With Docker Containers - Learn how to create, manage, and run Docker containers. 4. Managing Docker Images - Understand how to create, optimize, and manage Docker images. 5. Docker Networking and Volumes - Explore networking configurations and volume management for Docker containers. 6. Docker Compose - Use Docker Compose to define and manage multi-container applications. 7. Containerizing Application with Docker - Practice containerizing an application, including building and testing Docker images. 8. Transition to Kubernetes - Begin transitioning from Docker to Kubernetes, understanding the need for orchestration. 9. Deploying Applications to Kubernetes - Deploy and manage your containerized applications using Kubernetes. 10. Kubernetes Networking and Service Discovery - Learn about networking and service discovery in Kubernetes. 11. Managing Storage in Kubernetes - Understand how Kubernetes handles persistent storage. 12. Monitoring and Logging in Kubernetes - Set up monitoring and logging for Kubernetes clusters and applications. 13. Advanced Kubernetes Concepts - Dive into more complex Kubernetes features and configurations. 14. Container Security and Best Practices - Explore security best practices for Docker and Kubernetes containers. 15. Real World Project and Practice - Apply your knowledge by working on real-world projects and practicing your skills. #Creditgoestotheowner

Just read about this new tool in kubernetes called descheduler. It is a massive improvement to properly utilise resources in your environment. A scheduler is component in kubernetes which allows you to schedule a pod to a node based on resource utilisation, based on set of rules, called predicates and priorities. Descheduler allows you to evict a pod and properly place to new node. https://lnkd.in/eZeaqpAf

My latest blog post on the integration of Kong APIOps tool 'decK' with the Kong Ingress Controller. A standout feature in the latest decK release is the 'deck file kong2kic' command. This tool acts as a bridge, converting Kong configuration files into Kubernetes manifests for the Kong Ingress Controller. It enables API teams to use all decK's APIOps features within their Kubernetes-centric workflows. 🔗 https://lnkd.in/gXi8Vb-k Michael Heap Michal Flendrich Mattia Lavacca Shane Utt Grzegorz Burzyński David MacDonald Pierre-Alexandre LORIOT Jerome GUILLAUME Charly Molter Thomas Lawrence Kong Inc. #APIManagement #Kubernetes #APIOps #decK #KongIngressController #DevOps #KongPin #KubeConEU

♻️ How do you roll back a failed deployment in Kubernetes? And (most importantly), should you roll back or roll forward? Kubectl has a convenient command named kubectl rollout undo that lets you revert a rolling update. In this article, Gergely Riskó explains how that works and reveals how Deployments, Replica Sets, and Pods are connected. You can read it here: https://lnkd.in/gP8gTis3 My takeaways from this article: - Deployments don't create Pods, ReplicaSets do. - Deployments and ReplicaSet YAML looks almost the same. That's because the deployment is a superset object. - Deployments can do rolling updates by orchestrating ReplicaSets. - If you don't care about zero downtime, you can create ReplicaSets directly. - It's a good idea to roll forward and keep the cluster state in sync with the code in version control (e.g. GitOps :). You can find the full article here: https://lnkd.in/gP8gTis3 Have you ever used kubectl rollout (or should you)? let me know in the comments!

5-Minute Docker Featured Guides Ready to master multi-container Docker applications? 🚀 Spend just 5 minutes on our latest learning path to enhance your productivity. Start your journey here: https://bit.ly/4dTzXDL #DockerLearning

When Not To Use Kubernetes 👇 Here are some situations where using Kubernetes may not be recommended. 𝟭. 𝗦𝗶𝗺𝗽𝗹𝗲 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: For a simple, single-component application, without significant scaling or complex deployment needs, Kubernetes can add complexity 𝘚𝘰𝘭𝘶𝘵𝘪𝘰𝘯: A simpler platform or traditional virtual machine setup is enough 𝟮. 𝗟𝗶𝗺𝗶𝘁𝗲𝗱 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀: Kubernetes offers scalability and high availability but requires extra resources and operational overhead, leading to increased costs 𝟯. 𝗡𝗼 𝗧𝗶𝗺𝗲 𝗙𝗼𝗿 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: With a continuous learning curve tied to its concepts, terminology, and components, Kubernetes is not advisable for small teams or limited time constraints 𝟰. 𝗦𝘁𝗮𝘁𝗲𝗳𝘂𝗹 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: While Kubernetes offers features for stateful applications (e.g., StatefulSets, Persistent Volumes), the complexity and overhead may not be justified for certain use cases 𝟱. 𝗜𝗻𝗰𝗼𝗺𝗽𝗮𝘁𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝘄𝗶𝘁𝗵 𝗘𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: Integrating legacy infrastructure or non-containerized systems into Kubernetes may require significant refactoring 𝘚𝘰𝘭𝘶𝘵𝘪𝘰𝘯: Consider using a compatible deployment solution or gradually transitioning to Kubernetes for a long-term migration plan 𝟲. 𝗥𝗮𝗽𝗶𝗱 𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗶𝗻𝗴: - In early prototyping, speed and flexibility are crucial. - Kubernetes's configuration and management complexity can impede the prototyping process 𝘚𝘰𝘭𝘶𝘵𝘪𝘰𝘯: Opting for a lighter framework or serverless platform enables faster iterations and feedback 🔁 Consider a Repost if this is useful.

ConfigMap with Optional Values in Kubernetes In this article, we will explore how to define an item in a Kubernetes ConfigMap as optional. This is essential to prevent deployment issues, such as `CreateContainerConfigError`, when the ConfigMap is not available. We'll also discuss scenarios where optional ConfigMap values are useful, such as setting environment variables like proxy settings only when needed. A sample application will demonstrate how to implement this in your YAML configurations. #ConfigMap, #CreateContainerConfigError, #Kubernetes