🌐 https://prodevopsguy.site/posts/devops/devops-roadmap-2024/


✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🌐 Git Branching Strategies: Navigate the Options for a Robust CI/CD Pipeline ⚙️

Choosing the right Git branching strategy is crucial for streamlining your CI/CD pipeline and maintaining a healthy codebase.

𝟭. 𝗚𝗶𝘁𝗙𝗹𝗼𝘄:
➡️ Focus: Structured workflow with separate branches for features, releases, hotfixes, and development.
➡️ Pros: Well-defined roles for each branch, reduces merge conflicts, suitable for large teams.
➡️ Cons: Overhead of managing many branches, complex for smaller teams, potential merge fatigue.

𝟮. 𝗚𝗶𝘁𝗵𝘂𝗯 𝗙𝗹𝗼𝘄:
➡️ Focus: Simpler approach, primarily relies on feature branches and pull requests.
➡️ Pros: Lightweight, easy to use, encourages collaboration and code review.
➡️ Cons: Can lead to merge conflicts if not managed carefully, not ideal for complex releases.

𝟯. 𝗧𝗿𝘂𝗻𝗸-𝗯𝗮𝘀𝗲𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 (𝗚𝗶𝘁𝗟𝗮𝗯 𝗙𝗹𝗼𝘄):
➡️ Focus: Continuous integration directly onto the main branch, using feature flags for experimentation.
➡️ Pros: Faster deployments, reduces merge friction, encourages frequent testing.
➡️ Cons: Requires stricter discipline to avoid breaking changes, less suitable for projects with high risk of regressions.

𝟰. 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗕𝗿𝗮𝗻𝗰𝗵 𝗙𝗹𝗼𝘄:
➡️ Focus: Similar to GitHub Flow, but with dedicated release branches for deployments.
➡️ Pros: Balances simplicity with some release control, good for teams comfortable with feature branches.
➡️ Cons: Adds complexity compared to GitHub Flow, not as structured as GitFlow.

𝟱. 𝗚𝗶𝘁𝗞𝗿𝗮𝗸𝗲𝗻 𝗙𝗹𝗼𝘄:
➡️ Focus: Integrates GitFlow concepts with elements of GitHub Flow, allowing for flexible customization.
➡️ Pros: Adaptable to various team sizes and workflows, promotes continuous integration and testing.
➡️ Cons: Requires more configuration and understanding compared to simpler strategies.


✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

♾ CI/CD Triggers: Cron Job vs. Poll SCM vs. Webhook

These triggers are responsible for initiating the execution of automated build processes based on specific events or schedules.

⏩ Cron Job: A cron job is a scheduled task or command that is executed at specified intervals according to the cron schedule.

⏩ Poll SCM: It is a mechanism used by CI/CD systems to periodically check the source code repository (SCM) for changes.

⏩ Webhook: It is used for automatically triggering actions when certain events occur.


✔️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

You're Decent at Linux if You Know What Those Directories Mean?? 🐧

The Linux file system used to resemble an unorganized town where individuals constructed their houses wherever they pleased. However, in 1994, the Filesystem Hierarchy Standard (FHS) was introduced to bring order to the Linux file system.

By implementing a standard like the FHS, software can ensure a consistent layout across various Linux distributions. Nonetheless, not all Linux distributions strictly adhere to this standard. They often incorporate their own unique elements or cater to specific requirements.

ℹ️To become proficient in this standard, you can begin by exploring. Utilize commands such as "cd" for navigation and "ls" for listing directory contents. Imagine the file system as a tree, starting from the root (/). With time, it will become second nature to you, transforming you into a skilled Linux administrator.


🌐𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

⚙️ 𝐃𝐞𝐯𝐎𝐩𝐬 𝐓𝐨𝐨𝐥 𝐒𝐭𝐚𝐜𝐤 𝐆𝐮𝐢𝐝𝐞❗️

DevOps is all about working together smoothly from start to finish in software making. The right tools are key, and we've got the perfect guide - the DevOps Tool Stack Wheel!

✅ Planning: Use Jira or Trello.
✅ Coding: Try Git or Bitbucket.
✅ Building: Jenkins or CircleCI can help.
✅ Testing: Go for Selenium or JUnit.
✅ Releasing: Use GitLab CI/CD or Travis CI.
✅ Deploying: Docker or Kubernetes are great.
✅ Operating: Pick Ansible or Puppet.
✅ Monitoring: Check out Prometheus or Grafana.

This set of tools has you covered at every step. From the first plan to the final checks, it's everything you need for great DevOps work.💡

Keep an eye out as we explore each tool and how they work together to boost your DevOps projects. Don't miss your chance to step up your DevOps skills!


🌐 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

👾 DevOps metrics are crucial for:

1️⃣. Enhancing work quality 🌿

2️⃣. Monitoring progress 📈

3️⃣. Determining the cost of work 💰

➡️ Key DevOps metrics include:

✅ Development metrics (code coverage, churn, build success rate)
✅ Release metrics (deployment frequency, lead time, rollback rate)
✅ Operational metrics (uptime, MTTR, MTTR)


Embrace the power of DevOps metrics and unlock the full potential of your software development lifecycle! 🚀


😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔔 𝗔𝗿𝗴𝗼𝗖𝗗 𝘃𝘀. 𝗙𝗹𝘂𝘅𝗖𝗗

➡️ 𝐈𝐦𝐚𝐠𝐢𝐧𝐞 𝐲𝐨𝐮 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐚𝐬𝐬𝐞𝐦𝐛𝐥𝐞 𝐚 𝐧𝐞𝐰 𝐩𝐢𝐞𝐜𝐞 𝐨𝐟 𝐟𝐮𝐫𝐧𝐢𝐭𝐮𝐫𝐞 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐡𝐨𝐮𝐬𝐞.

In this scenario, GitOps tools are like the robot assistant that follows the blueprint (your Git repository) to ensure every piece fits perfectly.

➡️ 𝗔𝗿𝗴𝗼𝗖𝗗 and 𝗙𝗹𝘂𝘅𝗖𝗗 stand out as two of the leading GitOps tools, automating deployment to Kubernetes clusters efficiently and reliably.

But how do they differ, and which one should you choose?

➡️ 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐤𝐞𝐲 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 ↓

𝟏. 𝐒𝐞𝐜𝐫𝐞𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭
↳ ArgoCD: Relies on external tools like Sealed Secrets
↳ FluxCD: Built-in Mozilla SOPS for encrypted secrets

𝟐. 𝐇𝐞𝐥𝐦 𝐒𝐮𝐩𝐩𝐨𝐫𝐭
↳ ArgoCD: Integrates Helm within its application
↳ FluxCD: Uses Helm operator for management

𝟑. 𝐔𝐬𝐞𝐫 𝐈𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞
↳ ArgoCD: Native UI with comprehensive overview
↳ FluxCD: Primarily CLI-based, can integrate with other UIs

𝟒. 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞
↳ ArgoCD: Part of broader Argo Project, with various tools
↳ FluxCD: Focuses on continuous delivery, with GitOps toolkit

𝟓. 𝐑𝐁𝐀𝐂
↳ ArgoCD: Built-in RBAC with GUI management
↳ FluxCD: Relies more on Kubernetes RBAC

𝟔. 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐇𝐨𝐨𝐤𝐬
↳ ArgoCD: Robust support for pre/post synchronization hooks
↳ FluxCD: Relies on Helm for hooks outside of Helm charts

𝟕. 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐢𝐧𝐠
↳ ArgoCD: Supports direct deployment templating
↳ FluxCD: Templating capabilities tied to Helm's ecosystem


😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

➡️ What is DevOps and what DevOps engineer do? ❓


➡️ DevOps is a set of practices, cultural philosophies, and tools that aim to improve collaboration, communication, and integration between software development (Dev) and IT operations (Ops) teams.

✅ The goal of DevOps is to enable Organization to deliver high-quality software products and services more rapidly, reliably, and efficiently.

➡️ DevOps engineers play a critical role in enabling organizations to embrace DevOps culture and practices, driving agility, innovation, and efficiency in software development and delivery.

🌟 DevOps engineer gaining expertise in tools and technologies related to DevOps practices, such as version control systems, continuous integration/continuous deployment (CI/CD) pipelines, containerization, and cloud computing platforms, is essential for a successful career in DevOps engineering.


✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

👉 Continuous deployment assumes that every product change or update is deployed automatically to production without any manual supervision from a DevOps engineer.

💡 Continuous Delivery:
- Automates the release process.
- Ensures readiness for deployment at any time.
- Allows manual deployment when needed.

💡 Continuous Deployment:
- Automates deployment of every successful code change.
- Directly deploys to production without human intervention.
- Requires high confidence in automated testing.


😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

😀 10 DevOps Real time Scenarios. 😀
🚀 Issues as well as their resolutions: 🚀

🔢. Continuous Integration Pipeline Failure and its Resolution.
🔗 https://lnkd.in/g9nBb79u

🔢. Application experiences performance degradation and becomes slow during high-traffic periods and its resolution.
🔗 https://lnkd.in/g9nBb79u

🔢. Deployments are error-prone and inconsistent across different environments and its resolution.
🔗 https://lnkd.in/gE6FYcBz

🔢. The application goes down in production due to an unforeseen issue and its resolution.
🔗 https://lnkd.in/gE6FYcBz

🔢. A security vulnerability is discovered in a component of the application stack and its resolution.
🔗 https://lnkd.in/gPtZ9_Ge

🔢. Production environments start to deviate from their desired configurations over time and its resolution.
🔗 https://lnkd.in/gPtZ9_Ge

🔢. A critical service experiences an outage, impacting users and business operations and its resolution.
🔗 https://lnkd.in/gvTtGYC7

🔢. Communication breakdowns between development and operations teams lead to misunderstandings and delays and its resolution.
🔗 https://lnkd.in/gvTtGYC7

🔢. A major release causes unexpected issues in the production environment.
🔗 https://lnkd.in/gYbFKPrv

🔢🔢. Cloud resource costs are increasing beyond budgeted limits.
🔗 https://lnkd.in/gYbFKPrv


🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

⛈ Free DevOps Courses


⚡️ Introduction to DevOps : https://lnkd.in/eewbW8xF

⚡️ IBM Applied DevOps Engineering : https://lnkd.in/erfsfEzm

⚡️ Python Scripting for DevOps Specialization : https://lnkd.in/ejaHRK8q

⚡️ Continuous Delivery & DevOps : https://lnkd.in/eBuU9Gb6

⚡️ Introduction to DevOps (Great Learning) : https://lnkd.in/e4h_vt8B

⚡️ Getting Started with DevOps on AWS : https://lnkd.in/ejchJqDN

⚡️ Introduction to DevOps (Codeacademy) : https://lnkd.in/ek-bXi8r

⚡️ DevOps - For Beginners : https://lnkd.in/ecUVWb36

⚡️ DevOps 101: What is DevOps? : https://lnkd.in/ezPfGTkU

⚡️ Bonus: Live Workshop - https://brij.guru/ai


🛒 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

⛈ Top 5 Kafka use cases

Kafka was originally built for massive log processing. It retains messages until expiration and lets consumers pull messages at their own pace.

➡️Let’s review the popular Kafka use cases.

✅ Log processing and analysis
✅ Data streaming in recommendations
✅ System monitoring and alerting
✅ CDC (Change data capture)
✅ System migration


🛒 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

⚜️ 𝐄𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 💬 𝐖𝐡𝐚𝐭𝐬𝐀𝐩𝐩 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞

Have you ever wondered how WhatsApp, the messaging titan, keeps your chats flowing seamlessly?


✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🔣🔣 Kubernetes Scaling Strategies 👇

Each scaling strategy offers a unique approach to efficiently manage resources and ensure optimal performance:

1️⃣. Horizontal Pod Autoscaling (HPA):
Automatically scales the number of pods in a deployment or replica set based on observed CPU utilization or other select metrics.

2️⃣. Vertical Pod Autoscaling (VPA):
Automatically adjusts the CPU and memory resources allocated to pods in a deployment or replica set.

3️⃣. Cluster Autoscaling:
Dynamically adjusts the number of nodes in a Kubernetes cluster based on the demands of the workloads and resource availability.

4️⃣. Manual Scaling:
Involves manually setting the number of replicas in a deployment or replica set, using a command like

kubectl scale --replicas=desired_replica_count object_type/object_name

5️⃣. Predictive Scaling:
Uses advanced algorithms and AI, like in PredictKube, to forecast future demand and proactively scale resources before they are needed.


🌐𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

📍 What strategies would you employ to optimize the performance of your Jenkins pipeline? 📍

Based on the above question, you could ask the interviewer:
✅ Can you specify which aspects of the Jenkins pipeline are most critical to optimize, such as build times, resource allocation, or dependency management?

The design factors for optimizing Jenkins Pipeline performance and reducing build times would include:
🔢 Parallel Execution:
Leverage parallel execution in Jenkins pipelines. This means designing the pipeline to allow multiple stages or steps to run concurrently rather than sequentially, significantly reducing total execution time for independent tasks.
🔢 Agent and Workspace Efficiency:
Focus on optimizing agent and workspace efficiency. This involves configuring pipelines to use lightweight executors, like Docker agents, and implementing practices to reuse workspaces effectively, which minimizes setup and teardown times.
🔢 Optimize Build Environment:
Ensure the build environment is optimized. This includes selecting high-performance hardware, minimizing network latency, particularly in distributed setups, and choosing efficient build tools and compilers.
🔢 Efficient Retrieval Methods for Source Code:
To minimize checkout times, implement efficient source code retrieval methods, such as local shallow cloning and caching repositories, reducing the time spent fetching code from remote sources.
🔢 Artifact Management:
Effective artifact management is another key area. Utilize artifact repositories and optimize artifact storage and retrieval strategies, such as uploading only deltas or employing parallel downloads.
🔢 Pipeline Caching:
Incorporate pipeline caching to avoid redoing work. By caching dependencies or build outputs at certain stages, the pipeline can reuse previously computed results, which is especially beneficial for dependency-heavy builds.
🔢 Use of Plugins and Tools:
Utilizing Jenkins plugins and external tools effectively is crucial. Employ plugins like Pipeline Utility Steps and Timestamper to optimize performance and manage the pipeline more efficiently.
🔢 Review and Refine Regularly:
Believe in continuous improvement. Regularly reviewing build times and performance metrics helps identify bottlenecks, allowing for the ongoing refinement of pipelines.

➡️ Interviewer expectation:
🔢 Show that you understand the core concepts of Jenkins Pipeline and CI/CD processes.
🔢 Explain how each point contributes to the optimization and efficiency of the pipeline.
🔢 Provide examples from your experiences applying these strategies to solve real-world problems. If you haven't had direct experience, discuss how you would implement these strategies in a hypothetical scenario.


✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

Explain what Custom Resources (CRs) and Operators are in Kubernetes. How do they extend Kubernetes functionality 🚀

Have you ever considered extending Kubernetes beyond its built-in resources like Pods, Deployments, and Services? The introduction of Custom Resources (CRs) and Operators has made this not just a possibility but a reality, opening a world of customization and automation that will surely revolutionize how we manage applications within Kubernetes.

🔍 Custom Resources Demystified
Custom Resources offers a pathway to extend Kubernetes capabilities, enabling us to define new resource types that operate seamlessly within the ecosystem. Imagine creating a resource for a database with specific replication and backup configurations directly in Kubernetes. This level of integration simplifies management, allowing us to apply configurations through YAML files, leveraging Kubernetes' declarative approach for a streamlined process.

🤖 Operators: Taking Automation a Step Further
Building on the foundation laid by CRs, Operators introduce custom controllers designed to watch and manage the lifecycle of these resources based on their current state. They encapsulate best practices and operational knowledge, automating tasks such as deployment, scaling, and recovery. This transforms Kubernetes into an even more powerful tool for managing complex, stateful workloads with precision.

✔️ Conclusion
Integrating Custom Resources and Operators marks a significant step forward in enhancing Kubernetes core functionality. This advancement allows for the creation and seamless management of custom resource types, bridging the gap between Kubernetes and the specific needs of our applications. By automating operational processes and enabling precise management of sophisticated workloads, Kubernetes continues solidifying its position as an invaluable tool for modern cloud-native application management.


✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🖥 https://prodevopsguy.site/posts/devops/kubernetes-tricks/

⏩ Node failures can hurt a Kubernetes cluster very badly.

And here's a simple hack that can help.

🟢There's a tool called "Node Problem Detector" that monitors the health of nodes in a K8s cluster.

It runs on each node, if a problem is detected it can report to apiserver. Here are some issues it can detect:

🔴Physical hardware issues - Overheating CPU - Memory errors - Failing disks - Kernel issues.

Try it out. Positive approach powers progress. ❤️


🌐𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

📌 https://palak-bhawsar.hashnode.dev/cicd-pipeline-for-terraform-project

🔗 More DevOps Blogs : HERE

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⭐️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

☄️ As a DevOps Engineer, 𝐓𝐞𝐬𝐭/ 𝐈𝐦𝐩𝐫𝐨𝐯𝐞 your Knowledge 𝐢𝐧 𝐋𝐢𝐧𝐮𝐱 for 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬 by going through following :


𝟏. 𝐈𝐟 𝐲𝐨𝐮 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐫𝐮𝐧 𝐚 𝐭𝐚𝐬𝐤/𝐬𝐜𝐫𝐢𝐩𝐭 𝐢𝐧 𝐛𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 𝐞𝐯𝐞𝐧 𝐢𝐟 𝐲𝐨𝐮 𝐜𝐥𝐨𝐬𝐞 𝐲𝐨𝐮𝐫 𝐭𝐞𝐫𝐦𝐢𝐧𝐚𝐥, 𝐰𝐡𝐚𝐭 𝐢𝐬 𝐭𝐡𝐞 𝐰𝐚𝐲?
Ans: Using nohup command

𝟐. 𝐖𝐡𝐢𝐜𝐡 𝐜𝐨𝐦𝐦𝐚𝐧𝐝 𝐝𝐢𝐬𝐩𝐥𝐚𝐲𝐬 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐚𝐛𝐨𝐮𝐭 𝐤𝐞𝐫𝐧𝐞𝐥-𝐫𝐞𝐥𝐚𝐭𝐞𝐝 𝐦𝐞𝐬𝐬𝐚𝐠𝐞𝐬 𝐚𝐥𝐨𝐧𝐠 𝐰𝐢𝐭𝐡 𝐡𝐚𝐫𝐝𝐰𝐚𝐫𝐞 𝐚𝐧𝐝 𝐬𝐲𝐬𝐭𝐞𝐦 𝐬𝐭𝐚𝐫𝐭𝐮𝐩 𝐦𝐞𝐬𝐬𝐚𝐠𝐞𝐬 𝐬𝐭𝐨𝐫𝐞𝐝 𝐢𝐧 𝐤𝐞𝐫𝐧𝐞𝐥 𝐫𝐢𝐧𝐠 𝐛𝐮𝐟𝐟𝐞𝐫?
Ans: dmesg command

𝟑. 𝐖𝐡𝐢𝐜𝐡 𝐜𝐨𝐦𝐦𝐚𝐧𝐝 𝐜𝐚𝐧 𝐲𝐨𝐮 𝐮𝐬𝐞 𝐭𝐨 𝐝𝐢𝐬𝐩𝐥𝐚𝐲 𝐚 𝐥𝐢𝐬𝐭 𝐨𝐟 𝐜𝐮𝐫𝐫𝐞𝐧𝐭𝐥𝐲 𝐜𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐞𝐝 𝐏𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐕𝐨𝐥𝐮𝐦𝐞𝐬?
Ans: lvs command

𝟒. 𝐖𝐡𝐢𝐜𝐡 𝐜𝐨𝐦𝐦𝐚𝐧𝐝 𝐝𝐢𝐬𝐩𝐥𝐚𝐲𝐬 𝐦𝐞𝐦𝐨𝐫𝐲 𝐮𝐬𝐚𝐠𝐞, 𝐢𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐚𝐦𝐨𝐮𝐧𝐭
𝐨𝐟 𝐬𝐰𝐚𝐩 𝐬𝐩𝐚𝐜𝐞 𝐛𝐞𝐢𝐧𝐠 𝐮𝐬𝐞𝐝?
Ans: free command

𝟓. 𝐓𝐡𝐞 /𝐡𝐨𝐦𝐞 𝐩𝐚𝐫𝐭𝐢𝐭𝐢𝐨𝐧 𝐢𝐬 𝐫𝐮𝐧𝐧𝐢𝐧𝐠 𝐨𝐮𝐭 𝐨𝐟 𝐝𝐢𝐬𝐤 𝐬𝐩𝐚𝐜𝐞. 𝐖𝐡𝐢𝐜𝐡 𝐜𝐨𝐦𝐦𝐚𝐧𝐝 𝐜𝐚𝐧 𝐲𝐨𝐮 𝐮𝐬𝐞 𝐭𝐨 𝐝𝐞𝐭𝐞𝐫𝐦𝐢𝐧𝐞 𝐰𝐡𝐢𝐜𝐡 𝐮𝐬𝐞𝐫'𝐬 𝐡𝐨𝐦𝐞 𝐝𝐢𝐫𝐞𝐜𝐭𝐨𝐫𝐲 𝐢𝐬 𝐮𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐬𝐩𝐚𝐜𝐞?
Ans: we can use du command

𝟔. 𝐇𝐨𝐰 𝐭𝐨 𝐜𝐡𝐞𝐜𝐤 𝐲𝐨𝐮𝐫 𝐋𝐢𝐧𝐮𝐱 𝐅𝐢𝐥𝐞𝐒𝐲𝐬𝐭𝐞𝐦?
Ans: lsblk -f

𝟕. 𝐇𝐨𝐰 𝐭𝐨 𝐒𝐎𝐑𝐓 𝐭𝐡𝐞 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐟𝐫𝐨𝐦 𝐚 𝐟𝐢𝐥𝐞 𝐢𝐧 𝐋𝐢𝐧𝐮𝐱?
Ans: sort -r file

𝟖. 𝐇𝐨𝐰 𝐭𝐨 𝐝𝐢𝐬𝐩𝐥𝐚𝐲 𝐔𝐍𝐈𝐐𝐔𝐄 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐟𝐫𝐨𝐦 𝐚 𝐟𝐢𝐥𝐞 𝐢𝐧 𝐋𝐢𝐧𝐮𝐱?
Ans: sort file | uniq

𝟗. 𝐇𝐨𝐰 𝐭𝐨 𝐬𝐞𝐚𝐫𝐜𝐡 𝐦𝐮𝐥𝐭𝐢𝐩𝐥𝐞 𝐰𝐨𝐫𝐝𝐬 𝐚𝐧𝐝 𝐝𝐢𝐬𝐩𝐥𝐚𝐲 𝐦𝐚𝐭𝐜𝐡𝐢𝐧𝐠 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐟𝐫𝐨𝐦 𝐚 𝐟𝐢𝐥𝐞 𝐢𝐧 𝐋𝐢𝐧𝐮𝐱?
Ans: egrep "word1|word2" file

𝟏𝟎. 𝐇𝐨𝐰 𝐭𝐨 𝐂𝐎𝐔𝐍𝐓 𝐧𝐨. 𝐨𝐟 𝐥𝐢𝐧𝐞𝐬 𝐢𝐧 𝐚 𝐟𝐢𝐥𝐞 𝐢𝐧 𝐋𝐢𝐧𝐮𝐱?
Ans: wc -l file

𝟏𝟏. 𝐇𝐨𝐰 𝐭𝐨 𝐜𝐡𝐞𝐜𝐤 𝐢𝐟 𝐭𝐰𝐨 𝐟𝐢𝐥𝐞𝐬 𝐚𝐫𝐞 𝐢𝐝𝐞𝐧𝐭𝐢𝐜𝐚𝐥 𝐨𝐫 𝐧𝐨𝐭 𝐢𝐧 𝐋𝐢𝐧𝐮𝐱?
Ans: cmp fileA fileB

𝟏𝟐. 𝐇𝐨𝐰 𝐭𝐨 𝐜𝐨𝐦𝐩𝐚𝐫𝐞 𝐚𝐧𝐝 𝐝𝐢𝐬𝐩𝐥𝐚𝐲 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐟𝐢𝐥𝐞𝐬 𝐢𝐧 𝐋𝐢𝐧𝐮𝐱?
Ans: diff -u fileA fileB

𝟏𝟑. 𝐇𝐨𝐰 𝐭𝐨 𝐫𝐞𝐜𝐨𝐫𝐝 𝐲𝐨𝐮𝐫 𝐚𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐨𝐧 𝐭𝐞𝐫𝐦𝐢𝐧𝐚𝐥 𝐢𝐧 𝐚 𝐟𝐢𝐥𝐞?
Ans: script

𝟏𝟒. 𝐇𝐨𝐰 𝐭𝐨 𝐝𝐢𝐬𝐩𝐥𝐚𝐲 𝐬𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐭𝐰𝐨 𝐜𝐡𝐚𝐫𝐚𝐜𝐭𝐞𝐫𝐬 𝐨𝐟 𝐚𝐥𝐥 𝐥𝐢𝐧𝐞?
Ans: cut -c1-2 file.txt

𝟏𝟓. 𝐇𝐨𝐰 𝐭𝐨 𝐝𝐢𝐬𝐩𝐥𝐚𝐲 𝐚 𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐥𝐢𝐧𝐞 𝐟𝐫𝐨𝐦 𝐚 𝐟𝐢𝐥𝐞?
Ans: sed -n '5p' file.txt

𝟏𝟔. 𝐇𝐨𝐰 𝐭𝐨 𝐫𝐞𝐩𝐥𝐚𝐜𝐞 𝐚 𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐰𝐨𝐫𝐝 𝐰𝐢𝐭𝐡𝐢𝐧 𝐚 𝐟𝐢𝐥𝐞?
Ans: sed -n 's/from/to/g' file.txt

𝟏𝟕. 𝐇𝐨𝐰 𝐭𝐨 𝐞𝐱𝐭𝐞𝐧𝐝 𝐬𝐢𝐳𝐞 𝐨𝐟 𝐚 𝐟𝐢𝐥𝐞 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐚𝐝𝐝𝐢𝐧𝐠 𝐚𝐧𝐲 𝐝𝐚𝐭𝐚?
Ans: truncate -s 100M file.txt

𝟏𝟖. 𝐇𝐨𝐰 𝐭𝐨 𝐜𝐡𝐞𝐜𝐤 𝐜𝐩𝐮/𝐜𝐨𝐫𝐞/𝐭𝐡𝐫𝐞𝐚𝐝 𝐢𝐧𝐟𝐨 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐥𝐢𝐧𝐮𝐱 𝐬𝐞𝐫𝐯𝐞𝐫?
Ans: lscpu


🌐 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs