Acorn Labs的动态

?? ???????????? = ???????????????? ??????! ?? Happy Sunday! It's time for our weekly revision of the "50 Days DevOps Tools" series. This week, we covered a range of essential tools and concepts for Kubernetes. Here’s a summary of what we learned from Day 22 to Day 26: ?? ???????????? ???? ?? Shiivam Agnihotri ???? ?????? ?????????????????????????? ???? ?????? ?????????? ???? ???????? ????????????! ?? ??? 22: ????-????? Overview: Kube-score is a static code analysis tool that checks your Kubernetes manifests for potential issues. ?????? ????????????????????: Validates Kubernetes manifests. Provides actionable recommendations. Helps maintain best practices for Kubernetes deployments. ??? ??? 23: ?9? Overview: K9s is a terminal-based UI for managing your Kubernetes clusters. ?????? ????????????????????: Real-time monitoring of Kubernetes resources. Efficient navigation through cluster resources. User-friendly interface for command-line enthusiasts. ?? ??? 24: ?????? Overview: Octant is an open-source, web-based UI for managing Kubernetes clusters. ?????? ????????????????????: Visualize Kubernetes resources and dependencies. Troubleshoot issues with built-in debugging tools. Extend functionality with plugins. ?? ??? 25: ?????????? Overview: Goldilocks is a utility that helps you optimize your Kubernetes resource requests and limits. ?????? ????????????????????: Analyzes resource usage. Recommends optimal CPU and memory settings. Helps prevent over-provisioning and under-provisioning. ?? ??? 26: ????????? ????????? Overview: A deep dive into the importance of scripting languages in DevOps. ?????? ????????????????????: Automation and orchestration using Bash, Python, PowerShell, Ruby, and Perl. Real-world scenarios for each scripting language. Best practices for choosing the right scripting language based on your use case. ?? ???????? ?????? ???????? ?????????? ????????: https://lnkd.in/g2J3PGdi Like, share, and spread the word! Let’s keep learning and growing together. ???? #DevOps #Kubernetes #Sunday #DevOpsTools #DevOpsEngineer

Kado aims to simplify and streamline the management of your infrastructure as code. ? By providing a modular, consistent, and automated framework, Kado helps you reduce complexity, minimize errors, and achieve efficient infrastructure management. Whether you are provisioning resources with Terraform, managing configurations with Ansible, or enforcing policies with OPA, Kado brings everything together into a cohesive and powerful tool. Learn more here: https://lnkd.in/ekqBpYbr #devops #ansible #terraform ##opa #infrastructuretools #aitools #ai #coding #aiautomation #automation #github #configurationtools

?? How to Access Kubernetes Events: A Step-by-Step Guide ?? https://lnkd.in/eiGPRzjD ?? Join on Whatsapp: https://lnkd.in/gpyjEKs4 ?? Join on Telegram: https://t.me/fixyacloud #containerization #devops #kubernetes #orchestration #kubernetesevents #stepbystepguide #kubernetestutorial #eventmonitoring #kubernetestips #evetnmanagement #kubernetesguide #eventtracking #kuberneteslearning #eventanalysis

Dora Dora, My Exporter! ???? Oh, not the Dora Explorer you know! On one of my recent work at HNG https://telex.im/ which i will want you to also check out. I needed a robust metric to track the efficiency of developer deployments. After some research, I turned to DORA metrics to get the insights we needed. ???? Introducing the?DORA Metrics Exporter?for Prometheus – your gateway to a deeper understanding of your DevOps performance. Here’s what makes it special: ???Deployment Frequency:?Keep tabs on how often deployments occur, providing a clear view of your release cadence. ???Lead Time for Changes:?Measure the average time from code commit to deployment, helping you identify bottlenecks in your pipeline. ???Change Failure Rate:?Analyze the percentage of deployments that encounter failures, so you can address reliability issues promptly. ???Mean Time to Recovery (MTTR):?Calculate the average time it takes to recover from deployment failures, ensuring you’re prepared to bounce back quickly. Why Use DORA Metrics? DORA metrics are critical for optimizing DevOps practices. They provide actionable insights that help improve deployment efficiency, enhance code quality, and streamline recovery processes. By implementing these metrics, teams can make data-driven decisions and continuously improve their development workflows. Getting Started: 1. Clone the Repository: git clone https://lnkd.in/dW5JuaSM cd dora-metrics 2. Install Dependencies: pip install -r requirements.txt 3. Configure:?Set up your?.env?file with your GitHub token and repository details. 4. Run the Script:?Start the metrics server: python main.py This tool will expose your metrics and update them every 10 minutes, giving you up-to-date insights into your deployment processes. ?? Ready to enhance your DevOps practices? Check out?my GitHub repo?for detailed setup instructions and follow for updates! https://lnkd.in/dpdjbJAh #DevOps #Metrics #DORA #Prometheus #GitHub #Tech #DataDriven #OpenSource #EngineeringExcellence

?? Day 7 Challenge: Creating Kubernetes Objects In Kubernetes, there are two primary methods for creating objects: the?Imperative?way and the?Declarative?way. Let's explore both methods! ?? 1?? Imperative Way: --------------------- The?Imperative?method involves creating objects through direct commands or API calls. This approach is straightforward and great for quick setups or testing. Example: ---------- To create a Pod directly from the command line, you can use: kubectl run nginx-pod --image=nginx --port=80 --labels="env=demo,type=frontend" This command will create a Pod named?nginx-pod?with the specified image and labels. 2?? Declarative Way: --------------------- The?Declarative?method uses manifest files (YAML or JSON) to define the desired state of your objects. This approach is recommended for production as it allows version control and easier updates. Example: Sample Pod YAML ------------------------------- # This is a sample pod yaml apiVersion: v1 kind: Pod metadata: name: nginx-pod labels: env: demo type: frontend spec: containers: - name: nginx-container image: nginx ports: - containerPort: 80 You can create this Pod by saving the above YAML into a file named?nginx- pod.yaml?and then running: kubectl apply -f nginx-pod.yaml ?? Why Choose One Over the Other? Imperative:?Quick and easy for temporary tasks or testing. Declarative:?Best practice for managing complex applications, providing better maintainability and scalability. ?? Conclusion Understanding both methods is crucial for effective Kubernetes management! Choose the one that fits your use case best. Happy K8s learning! ?? ?? Hashtags for LinkedIn #Day7Challenge #Kubernetes #DevOps #Imperative #Declarative #K8s #CloudNative #TechLearning #Containerization #KubernetesObjects Feel free to reach out if you have questions or need assistance! ??

A very promising tool for IAC ?? Pretty good explanation by Mariam Fawzi, good work ??

?? Navigating the Kubernetes Open Source Ecosystem: Tackling the Most Complex Tools ?? Kubernetes has revolutionized how we deploy and manage applications, but it comes with its own set of complex tools that can be challenging to master. Here are some of the most intricate tools within the Kubernetes open source ecosystem: ?? Helm - The package manager for Kubernetes, Helm simplifies deployment, but understanding Charts and Templates can be daunting. ??Istio - This service mesh provides advanced traffic management, security, and observability, but its steep learning curve is well-known. ??Prometheus & Grafana - A powerful duo for monitoring and visualization, requiring deep knowledge to configure and optimize. ??Kustomize - A tool for managing declarative configuration, Kustomize offers flexibility but can be tricky for complex environments. ??Kubeflow - A machine learning toolkit for Kubernetes, Kubeflow's extensive suite of tools demands a solid grasp of both ML and Kubernetes concepts. ??Flux & Argo CD - GitOps tools that bring declarative and automated deployments, but their setup and management can be complex. ??KEDA - Kubernetes-based Event Driven Autoscaling, which is powerful for scaling applications based on event metrics, can be challenging to configure correctly. ??KubeVirt - Extends Kubernetes by enabling you to run and manage virtual machines alongside container workloads, adding another layer of complexity. If you’re overwhelmed by these tools or need expert guidance, Stakater | Kubernetes Enablement Company is here to assist! Our team of seasoned Kubernetes professionals can help you navigate these complexities and optimize your Kubernetes environment. ?? #Kubernetes #CloudNative #DevOps #OpenSource #StakATER #Helm #Istio #Prometheus #Grafana #Kustomize #Kubeflow #GitOps #KEDA #KubeVirt #TechAssistance #ContainerOrchestration #TechCommunity

?? ?????? 07 - ???????? ?????????? ?????????? ?? ???????????? - ???????? ???? ???????? (???????????? ?????????? 8) by Shubham Londhe Today’s session was packed with ???????????????? ???????????? ???????????????? that are essential for container management in DevOps. Here’s what we dived into: ?? ???????????? ?????????????? Explored the importance of persistent data storage within containers, using Docker volumes to manage data independently of container lifecycle. This is crucial for databases, logs, and more. ?? ???????????? ???????????????????? Learned about Docker’s networking model, including bridge networks, host networks, and overlay networks, which enable seamless container communication. Vital knowledge for orchestrating multi-container applications. ??? ???????????? ?????????????? Mastered Docker Compose to define and manage multi-container applications. This tool simplifies configurations, making it easy to deploy complex apps with a single command—perfect for scaling and maintaining consistency across environments. ?? ???????????? ???????????????????? ???????????? Gained hands-on experience with multistage builds to optimize Docker images, reducing size and complexity by splitting build and runtime environments. This approach is game-changing for efficiency and security in production. Each of these concepts adds a powerful layer to container management, and I’m excited to apply these skills as I progress through this DevOps journey! TrainWithShubham #90DaysOfDevOps #Docker #Containers #JunoonBatch8 #ContinuousLearning

Ever wanted to compare #ArgoCD and #Flux before you get into #GitOps? ?? We did the research for you to save you some time. Please check out a comprehensible table and an in-depth whitepaper that we've created on the topic at https://hubs.li/Q02vmppp0 #kubernetes #devops #argoproj

If you are starting out with DevOps, here are the key concepts you should familiarize yourself with: ? Continuous Integration (CI) - Developers frequently merge their code changes into a central repository. - Tools: Jenkins, Travis CI, CircleCI. ? Continuous Delivery (CD) - Extends CI by automatically deploying all code changes to a testing or production environment after the build stage. - Tools: Jenkins, GitLab CI/CD, Bamboo. ? Infrastructure as Code (IaC) - Managing and provisioning computing infrastructure through machine-readable definition files. - Tools: Terraform, Ansible, Chef, Puppet. ? Microservices - Architectural style that structures an application as a collection of loosely coupled services. - Tools: Docker, Kubernetes. ? Monitoring and Logging - Keeping track of the performance and health of applications and infrastructure. - Tools: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana). Like / comment / repost if you found this helpful! #kubernetes #cloudcomputing #devops #cloudengineer #jumisaTech