🔣 𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐃𝐞𝐯𝐎𝐩𝐬, 𝐒𝐑𝐄, 𝐚𝐧𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐑𝐨𝐥𝐞𝐬❓


🔣In today's fast-evolving software landscape, three key pillars have emerged to reshape the way we build, deploy, and maintain software: Site Reliability Engineering (SRE), DevOps, and Platform Engineering. These dedicated teams each bring a unique set of skills, responsibilities, and tools to the table, fostering collaboration and efficiency throughout the software development lifecycle


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

⚡️ If you are serious about securing your Kubernetes.. ⚡️

You should know these 15 plugins

𝟭. 𝗦𝘁𝗲𝗿𝗻: Enhances log monitoring with regex support for Pod and Container IDs, similar to 'tail -f'.
🔣GitHub URL: https://lnkd.in/gbFmpTUu

𝟮. 𝗥𝗕𝗔𝗖-𝘁𝗼𝗼𝗹: Simplifies querying and creating RBAC policies, with visualization features.
🔣GitHub URL: https://lnkd.in/ggqV8yGd

𝟯. 𝗸𝘂𝗯𝗲𝗰𝘁𝗹-𝗰𝗶𝗹𝗶𝘂𝗺: Manages Cilium network security, providing eBPF dataplane capabilities.
🔣GitHub URL: https://lnkd.in/gUE6kTwK

𝟰. 𝗞𝘂𝗯𝗲 𝗣𝗼𝗹𝗶𝗰𝘆 𝗔𝗱𝘃𝗶𝘀𝗼𝗿: Advises on PodSecurityPolicies and OPA Policies, enhancing admission control.
🔣GitHub URL: https://lnkd.in/gnWCssCe

𝟱. 𝗞𝘂𝗯𝗲𝗰𝘁𝗹-𝘀𝘀𝗺-𝘀𝗲𝗰𝗿𝗲𝘁: Facilitates the import/export of Kubernetes Secrets to/from AWS SSM Parameter Store.
🔣GitHub URL: https://lnkd.in/gpr3sT7t

𝟲. 𝗞𝘂𝗯𝗲𝗹𝗼𝗴𝗶𝗻: Streamlines logging into Kubernetes clusters via CLI with OpenID Connect providers.
🔣GitHub URL: https://lnkd.in/gEtsDwu6

𝟳. 𝗞𝘂𝗯𝗲𝗰𝘁𝗹-𝘄𝗵𝗶𝘀𝗽𝗲𝗿-𝘀𝗲𝗰𝗿𝗲𝘁: Improves secret creation with secure input prompts, protecting against leaks.
🔣GitHub URL: https://lnkd.in/gCWuDaPE

𝟴. 𝗞𝘂𝗯𝗲𝗰𝘁𝗹-𝗰𝗮𝗽𝘁𝘂𝗿𝗲: Enables packet capture for container troubleshooting and security investigations.
🔣GitHub URL: https://lnkd.in/gbH99RmX

𝟵. 𝗞𝘂𝗯𝗲𝗰𝘁𝗹-𝘁𝗿𝗮𝗰𝗲: Facilitates distributed tracing in Kubernetes, aiding in security and performance analysis.
🔣GitHub URL: https://lnkd.in/gxrKacca

𝟭𝟬. 𝗔𝗰𝗰𝗲𝘀𝘀-𝗺𝗮𝘁𝗿𝗶𝘅 (𝗥𝗮𝗸𝗸𝗲𝘀𝘀): Displays an access matrix for server resources, highlighting CRUD permissions.
🔣GitHub URL: https://lnkd.in/gGKhsv6r

𝟭𝟭. 𝗥𝗼𝗹𝗲𝘀𝘂𝗺: Generates a summary of roles and permissions in the cluster, aiding in access control reviews.
🔣GitHub URL: https://lnkd.in/g8Xa2YQA

𝟭𝟮. 𝗖𝗲𝗿𝘁-𝗠𝗮𝗻𝗮𝗴𝗲𝗿: Automates TLS certificate management, ensuring secure and up-to-date communication.
🔣GitHub URL: https://lnkd.in/gBiqWjwV

𝟭𝟯. 𝗻𝗽-𝘃𝗶𝗲𝘄𝗲𝗿: Visualizes network policies and topologies, helping to identify misconfigurations.
🔣GitHub URL: https://lnkd.in/g6hYgp7t

𝟭𝟰. 𝗸𝘀𝗻𝗶𝗳𝗳: Captures and analyzes network traffic for security assessments and troubleshooting.
🔣GitHub URL: https://lnkd.in/gWQhM9_q

𝟭𝟱. 𝗜𝗻𝘀𝗽𝗲𝗸𝘁𝗼𝗿-𝗚𝗮𝗱𝗴𝗲𝘁: The eBPF tool and systems inspection framework for Kubernetes, containers and Linux hosts.
🔣GitHub URL: https://lnkd.in/gK7i_Tgb


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

🔣Kubernetes Mind Map 2024🔣


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

🚨 Mastering Kubernetes Services: ClusterIP, LoadBalancer, NodePort 🚨

In the vast universe of Kubernetes, services play a pivotal role in how applications are exposed to the outside world. Understanding the differences between ClusterIP, LoadBalancer, and NodePort can be key to mastering your Kubernetes deployment strategy.

➡️ClusterIP: Imagine it as a secret club accessible only to members within the Kubernetes cluster. This type of service exposes your app internally, making it reachable exclusively from within the cluster.

➡️LoadBalancer: It's like having a VIP pass to the internet! LoadBalancer exposes your service externally using a cloud provider's load balancer, automatically setting up an external IP address for your app.

➡️NodePort: This is your service's public face. It exposes your app on each Node's IP at a static port, making it accessible externally through <NodeIP>:<NodePort>. It's like having a door on each server that leads directly to your app.

💡 Why does this matter? Understanding these service types can help you design a robust networking strategy for your Kubernetes applications, ensuring they're accessible and secure.


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

𝗧𝗼𝗽 𝟱𝟬 🐧 𝗟𝗶𝗻𝘂𝘅 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀 𝘆𝗼𝘂 𝗺𝘂𝘀𝘁 𝗸𝗻𝗼𝘄 🚀

Some of the collection of Linux commands to be aware as a person in tech.


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

🔣 Terraform Most used CLI commands for DevOps Engineer


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📣 Looking for Junior and Entry level DevOps Engineer !

➡️ Experience -

6months to 2years.

➡️ Required skills :
Hands-on experience with Linux, Shell Scripting, DevOps tools, and in-depth knowledge of Linux.
Should also have knowledge of AWS tech stack, Jenkins, JIRA, SaaS environment, and CICD.
Good to have knowledge or experience in any programming language like C,C++,JavaScript or python.
Having certifications in AWS Cloud Practitioner and Solution Architect would be added advantage.

✉️ Interested people can drop your resumes to parimala@iesoftek.com.

Kubernetes interview question 🚀 ⁉️

❓ How does cloud controller manager work?

Lets understand it by setting up a custom Kubernetes cloud controller manager on AWS

The idea of this setup is to understand the AWS configurations involved in the Cloud Controller manager in a self-hosted kubernetes setup.


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🌐 Mastering Git commands is essential for efficient collaboration and version control in software development. 🛠

Whether you're a beginner or seasoned developer, understanding Git basics is a must!


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

♾ 𝐃𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐭𝐨𝐨 𝐬𝐥𝐨𝐰? 𝐂𝐈/𝐂𝐃 𝐢𝐬 𝐲𝐨𝐮𝐫 𝐥𝐚𝐮𝐧𝐜𝐡𝐩𝐚𝐝 𝐭𝐨 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞! 🚀

Are endless manual deployments and sluggish release cycles holding your team back? You're not alone! But fear not, there's a solution that can turn your development process into a well-oiled machine: CI/CD (Continuous Integration/Continuous Delivery).

The benefits are out of this world:
⏩Faster releases: Get features to users sooner, keeping them engaged and competitive.

⏩Improved quality: Catch and fix bugs early, reducing downtime and frustration.

⏩Happier developers: Less manual work means more time for innovation and creativity.


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🔣🔣 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.


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📣 Job Opportunity: DevOps Engineers 📣

Looking for people having 6m to 1 Yr of experience in DevOps tools like Ansible, Docker, GitLab, Terraform and Python Scripting and Linux.

➡️ Job Location: Bengaluru

🔗 Please apply at ipxp.in/doeaf


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

🔍 Dive into the World of Linux Troubleshooting! 💻 🛠

🚨 Issue of the Day: Networking Gremlins

🌐 Networking is the backbone of our digital world, and for those navigating the Linux ecosystem, mastering the art of Linux networking commands is essential. 🐧🖥

In today's interconnected universe, Linux provides a wealth of tools to configure, troubleshoot, and optimize your network connections. Whether you're a seasoned sysadmin or just diving into the world of Linux, these commands are your trusty allies.


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🔣Kubernetes CrashLoopBackOff Error: What It Is and How to Fix It ❓

🔣CrashLoopBackOff is a common error that you may have encountered when running your first containers on Kubernetes. This error indicates that a pod failed to start, Kubernetes tried to restart it, and it continued to fail repeatedly.

🔣What does CrashLoopBackOff mean anyway?
By default, a pod’s restart policy is Always, meaning it should always restart on failure (other options are Never or OnFailure). Depending on the restart policy defined in the pod template.

Every time the pod is restarted, Kubernetes waits for a longer and longer time, known as a “backoff delay”. During this process, Kubernetes displays the CrashLoopBackOff error.

🔣Common Causes of CrashLoopBackOff:
- Errors When Deploying Kubernetes
- Issue with Third-Party Services (DNS Error)
- Missing Dependencies
- Changes Caused by Recent Updates
- Container Failure due to Port Conflict


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

🛡 DevSecOps tools are indispensable in today's rapid DevOps environment.

👉 They:
😵 Reduce risk and maintain velocity by swiftly detecting and fixing vulnerabilities.
😵 Automate security monitoring, eliminating manual reviews. With these tools, we ensure both speed and security.


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🐬 Excited to share my insights on Docker and system design! 👩‍🚀

Have you ever wondered how Docker works behind the scenes? Let's dive into its architecture to uncover the magic!

🔹 Docker Client: Imagine this as your gateway to the Docker world. It's like having a personal assistant who takes your commands and communicates them to the next key player.

🔹 Docker Host: This is where the real action happens. The Docker daemon, like a master chef, manages everything from images (the recipes) to containers (the dishes) with precision.

🔹 Docker Registry: Think of this as your recipe book library. Docker Registry stores all the images, just like Docker Hub, where you can find a plethora of ready-to-use images.

Understanding Docker's architecture is crucial for anyone diving into system design or coding. It's like having a superpower to efficiently manage and deploy your applications!

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Are you optimizing your kubernetes workloads for efficiency? One key aspect is controlling resource usage within pods to ensure optimal performance and resources utilization.

🔍 Resource Requests:
➖ Specify minimum CPU and memory requirements for pods.
➖ Helps Kubernetes scheduler make informed placement decisions.
➖ Ensures pods have necessary resources to run effectively.

📈 Resource Limits:
➖ Set upper bounds on CPU and memory usage.
➖ Prevents pods from monopolizing resources.
➖ Maintains stability and reliability across the cluster.


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

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