What is DevOps ♾ - Explained in Details

✅ We will start from the very beginning, when the software development was hard, and developers had to do everything on their own, and developing a simple app, took years.
📝 Developing software required at least two teams, developers (programmers) and the operations team.
📝 Developers had to plan, design and build the software, whereas the operations team, took the already built software, created the infrastructure and implemented the software there.

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
💻 https://prodevopsguy.site/what-is-devops-explained-in-details


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

🔔 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐚𝐭𝐢𝐨𝐧

🔹 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐏𝐥𝐚𝐧𝐞 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬:

- kube-apiserver: Acts as the front-end for the control plane, managing the API.

- etcd: Stores all cluster data, serving as the data storage component.

- kube-scheduler: Decides where to run unscheduled Pods, allocating workloads efficiently.

- kube-controller-manager: Ensures the actual state matches the desired state, monitoring and recovering the system's state.

- cloud-controller-manager: Manages interaction between the cluster and the underlying cloud provider, facilitating cloud integration.

🔹 𝐖𝐨𝐫𝐤𝐞𝐫 𝐍𝐨𝐝𝐞 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬:

- kubelet: Responsible for node management, ensuring containers run smoothly within Pods.

- kube-proxy: Maintains network rules on nodes, acting as the network proxy.

- Container Runtime: Executes containers, handling container execution on nodes.

🔹 𝐀𝐝𝐝-𝐨𝐧 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬:

- CNI Plugin (Container Network Interface): Provides container networking, managing network connections for containers.

- CoreDNS: Acts as the DNS server within the cluster, facilitating service discovery.

- Metrics Server: Collects and stores resource usage data, enabling performance monitoring.

- Web UI (Kubernetes Dashboard): Offers a user-friendly web-based interface for managing the cluster, enhancing user experience and accessibility.

Understanding these components is crucial for effectively managing and optimizing your Kubernetes environment.


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

⭐️ 50 Jenkins Tips & Tricks with detailed examples

🔖 Are you a DevOps Enthusiast looking to explore different tools? If yes, then you have landed at the right place. DevOps Engineers are the most demanded and paid professionals all around the world. With this in mind let me introduce you to the most popular DevOps Tool, Jenkins. This Jenkins tips & tricks is for beginners who have prior knowledge about how a software development process occurs.

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/jenkins-tips-tricks-with-detailed-examples


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

𝐂𝐥𝐨𝐮𝐝 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐓𝐨𝐨𝐥𝐬 𝐂𝐡𝐞𝐚𝐭 𝐒𝐡𝐞𝐞𝐭❗️

The cloud has revolutionized the way we manage and scale our infrastructure, but ensuring its reliability and performance is paramount. That's where cloud monitoring tools come into play.

Here's a cheat sheet to help you navigate the world of cloud monitoring:

🔍 𝐖𝐡𝐚𝐭 𝐭𝐨 𝐌𝐨𝐧𝐢𝐭𝐨𝐫:
🔣Resource Utilization: Keep tabs on CPU, memory, disk, and network usage.
🔣Latency: Monitor response times to ensure optimal user experiences.
🔣Error Rates: Track error occurrences to address issues promptly.
🔣Traffic: Understand your traffic patterns and spikes.
🔣Security: Detects and respond to potential security threats.

⚙️ 𝐏𝐨𝐩𝐮𝐥𝐚𝐫 𝐂𝐥𝐨𝐮𝐝 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐓𝐨𝐨𝐥𝐬:
🔣Amazon CloudWatch: Ideal for AWS users, offering comprehensive monitoring and alerting.
🔣Google Cloud Monitoring: Seamlessly integrated with GCP for real-time insights.
🔣Azure Monitor: Microsoft's solution for monitoring Azure resources.
🔣Prometheus: An open-source option with a robust alerting system.

📈 𝐊𝐞𝐲 𝐌𝐞𝐭𝐫𝐢𝐜𝐬 𝐭𝐨 𝐖𝐚𝐭𝐜𝐡:
🔣CPU Usage: Indicates the load on your virtual machines.
🔣Memory Utilization: Monitors available memory and identifies bottlenecks.
🔣Network Throughput: Tracks data transfer rates.
🔣Response Times: Measures how quickly your services respond.
🔣Error Rates: Identifies issues impacting user experiences.

🚨 𝐀𝐥𝐞𝐫𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧:
Set up alerts for critical metrics to proactively address issues.
Leverage automation to scale resources up or down based on demand.


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

♾ CI/CD Pipeline Explained in Simple Terms ♾

➡️ The software development life cycle has several important steps: development, testing, deployment, and maintenance. CI/CD automates and connects these steps to allow faster, more reliable releases.


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

🔥 DevOps Project-20: Azure DevOps pipeline + Terraform Deployment Tutorial ♾


🔗 Project Link: HERE

🔄 Project Overview :-
This guide will cover everything required to deploy an example Azure Service Bus instance via Terraform and ADO.

👉 In addition to creating an example pipeline, we'll also add enhanced capabilities, including -
✅ Hosting the Terraform backend state on Azure blob storage
✅ Creating a deployment Service Principal + setting RBAC permissions on the Azure subscription
✅ Create a multi-stage ADO pipeline with an approval step
✅ Demonstrating how we can scale with multiple deployments


❤️‍🔥 Share with friends and colleagues ❤️‍🔥

📣 Note: Fork this Repository 🧑‍💻 for upcoming future projects, Every week releases new Project.


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

📣 Docker 🐬 basics for beginners


🖥 Let's learn how we can develop, deploy and run applications easily with Docker!

➡️If you Google Docker, you will find that Docker is a software platform that uses an OS-level virtualization to create self-contained containers.
➡️You may have created multiple Virtual Machines with Oracle VM or Vagrant before. Docker is something like that (but better, but more about that later).
➡️With Docker, we select an image (think about Docker images as recipes) and download it. Then, we create an instance of that image or container, pretty similar to a Virtual Machine.

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖱https://prodevopsguy.site/docker-basics-for-beginners


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

🔔 𝟏𝟎𝟎 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐄𝐫𝐫𝐨𝐫𝐬 𝐖𝐢𝐭𝐡 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐈𝐧 𝐃𝐞𝐭𝐚𝐢𝐥


➡️ Kubernetes has become the de facto standard for container orchestration, providing a powerful and scalable platform for deploying and managing applications. However, like any complex system, Kubernetes can encounter errors during the process, which can lead to frustration and downtime.

🔖 In this blog, we will explore common reasons for errors in 100 Kubernetes and provide possible solutions for each case. Let's dive in!

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
https://prodevopsguy.site/100-Kubernetes-Errors-With-Solution

#DevOps #Cloud #Kubernetes #Troubleshooting

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

🚀 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐑𝐮𝐧𝐭𝐢𝐦𝐞𝐬: 𝐃𝐨𝐜𝐤𝐞𝐫 𝐯𝐬. 𝐏𝐨𝐝𝐦𝐚𝐧 𝐯𝐬. 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐝 𝐯𝐬. 𝐂𝐑𝐈-𝐎 🌟

In the dynamic world of modern software deployment, choosing the right container runtime is crucial. Let's explore the unique features of four popular technologies:

🐳 𝑫𝒐𝒄𝒌𝒆𝒓 : A robust platform empowering developers to build, share, and run containers effortlessly. With its intuitive CLI and daemon-based architecture, Docker remains a top choice for containerization.

🔹 𝑷𝒐𝒅𝒎𝒂𝒏: A daemonless container engine offering similar functionalities to Docker but without the need for a central daemon. Perfect for developing and managing OCI containers directly on your Linux system.

🚀 𝑪𝒐𝒏𝒕𝒂𝒊𝒏𝒆𝒓𝒅 : This industry-standard core container runtime focuses on simplicity and reliability. It provides essential functionalities to run containers and manage images efficiently on any system.

⚙️ 𝑪𝑹𝑰-𝑶 : Tailored specifically for Kubernetes, CRI-O is a lightweight container runtime implementing the Kubernetes Container Runtime Interface (CRI). It seamlessly integrates OCI-compatible runtimes into Kubernetes clusters.

Whether you're a developer, DevOps enthusiast, or Kubernetes aficionado, understanding these container runtimes can streamline your deployment workflows.

🔍 This comparison is a high-level overview aimed at simplifying complex concepts.


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

✔️ How do you manage different versions of 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺? Manually? There is a better way! 😎

𝗧𝗳𝘀𝘄𝗶𝘁𝗰𝗵 is a useful tool for managing Terraform versions, particularly when working with multiple projects that require different versions due to syntax changes, provider updates, or other dependencies. Here are some reasons why tfswitch is beneficial:

➡️ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗖𝗼𝗺𝗽𝗮𝘁𝗶𝗯𝗶𝗹𝗶𝘁𝘆: Different Terraform projects may require specific versions to ensure compatibility with the project's syntax, providers, or dependencies. Tfswitch enables you to switch effortlessly between these versions, ensuring that you are always using the correct Terraform version for a particular project.

➡️ 𝗔𝘃𝗼𝗶𝗱 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗻𝗳𝗹𝗶𝗰𝘁𝘀: When working on multiple projects simultaneously, conflicts may arise if each project relies on a different Terraform version. Tfswitch helps prevent version conflicts by allowing you to set the appropriate version for each project independently.

➡️ 𝗘𝗮𝘀𝘆 𝗨𝗽𝗴𝗿𝗮𝗱𝗲𝘀: Tfswitch simplifies the process of upgrading to newer Terraform versions. With a single command, you can switch to the latest release, ensuring that you benefit from the latest features, bug fixes, and improvements.

➡️ 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Tfswitch can be integrated into your shell profile, allowing for automatic version detection and alias support for frequently used versions. This streamlines the process of working with Terraform and reduces the need for manual version switching.

➡️ 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗟𝗼𝗰𝗸𝗶𝗻𝗴: Tfswitch allows you to lock a project to a specific Terraform version by creating a .tfswitchrc file in your project's root directory. This ensures consistency when collaborating on projects and helps avoid potential issues caused by version conflicts.

Tfswitch is available only for Linux and MacOS.

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

🖥 https://prodevopsguy.xyz/the-ultimate-devops-bootcamp-2024-pack-by-prodevopsguy


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

📣 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬

➡️𝐇𝐨𝐫𝐢𝐳𝐨𝐧𝐭𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 (𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐎𝐮𝐭):
- Adjusts the number of pods to meet changing workload demands.
- Preferred for avoiding resource shortages by scaling pods instead of resources directly.

➡️𝐕𝐞𝐫𝐭𝐢𝐜𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 (𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐔𝐩):
- Dynamically allocates resources like RAM or CPU to cluster nodes based on application needs.
- Achieved by modifying pod resource requests in response to workload metrics.

➡️𝐂𝐥𝐮𝐬𝐭𝐞𝐫 𝐀𝐮𝐭𝐨𝐬𝐜𝐚𝐥𝐢𝐧𝐠:
- Increases or decreases the number of nodes in the cluster based on node utilization and pending pod status.
- Interfaces with the cloud provider to request or deallocate nodes as required.

➡️𝐌𝐚𝐧𝐮𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠:
- Adjusts the number of nodes or allocated resources in the cluster manually.
- Involves adding or removing nodes, tweaking resource requests, and optimizing workload distribution.

➡️𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐢𝐧 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬:
- Utilizes data analysis and machine learning to anticipate future workload demands.
- Enhances efficiency by proactively adjusting resources to meet upcoming needs, rather than reacting to current demands.


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

CICD 👾 with Jenkins Multibranch pipeline ⚙️


➡️What is Jenkins Multibranch pipeline ❓
According to official documentation, multibranch pipeline job type lets you define a job where from a single git repository Jenkins will detect multiple branches and create nested jobs when it finds a Jenkinsfile

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/cicd-jenkins-multibranch-pipeline


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

🌐 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

🖥 https://prodevopsguy.xyz/infrastructure-as-code-when-to-use-terraform-and-when-not-to-use


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

𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭(𝐂𝐈/𝐂𝐃) 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 ❗️

In today's fast-paced world of software development, success is synonymous with efficiency, rapid deployment, and minimal disruptions. CI/CD pipelines serve as the catalyst for achieving agile development and smoother software delivery.

🔗 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐂𝐈/𝐂𝐃❓

CI/CD, an acronym for Continuous Integration and Continuous Deployment, represents a holistic approach aimed at automating the integration of code changes and their seamless deployment into production. This ensures that your software is in a state of perpetual readiness for deployment, emphasizing incremental updates over unwieldy, error-prone releases.

🛠 𝐇𝐨𝐰 𝐃𝐨𝐞𝐬 𝐚 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤❓

Continuous Integration (CI):

🎯Developers craft code and seamlessly upload it to a shared repository.

Continuous Deployment (CD):

🎯Once the code emerges unscathed from the rigorous CI phase, it's primed for deployment.

⚙️ 𝐊𝐞𝐲 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 𝐨𝐟 𝐚 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞:

✅ Source Control Management (SCM): This is the digital heart where developers store their code, often utilizing Git-based repositories such as GitHub or GitLab.

✅ Build Tools: These are the skilled artisans that compile, package, and optimize your code for deployment. Popular options include Jenkins, Travis CI, and CircleCI.

✅ Artifact Repositories: Where the precious gems of your code, like Docker images and application binaries, are safely stored for deployment.

✅ Deployment Tools: The automation wizards that wave their magic wands to dispatch your code to different environments, be it Kubernetes, Docker Swarm, or serverless platforms.

✅ Testing Automation: A battalion of unit, integration, and end-to-end tests that vigilantly safeguard your code's quality and functionality.

🌟 Benefits of CI/CD:

✅ Faster Delivery: Smaller, more frequent releases mean quicker feature updates and bug fixes.

✅ Enhanced Collaboration: Developers can simultaneously work on different features, creating harmonious, conflict-free collaboration.


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

👍 Greetings from Hyperthink System Pvt Ltd!!

📣 Hiring Alert!! #Freshers
➡️Position: DevOps Engineer
➡️Location: Bangalore
➡️Experience: Freshers

📔 Note: Training certification in DevOps is Mandatory

✉️ If Interested Kindly Share Your cv on vineetha@hyperthinksys.com


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

🛡 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗣𝗼𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗔𝗱𝗺𝗶𝘀𝘀𝗶𝗼𝗻 🛡

➡️ Within Kubernetes, containerized applications are managed as logical units called 𝐏𝐨𝐝𝐬. In any deployment environment, these 𝐏𝐨𝐝𝐬' security is vital. Kubernetes provides various security controls, such as 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 (𝐏𝐒𝐒) and 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧 (𝐏𝐒𝐀), to efficiently manage the permissions and capabilities of Pods. These controls ensure that Pods operate with the minimum required access. This approach minimizes the risk of a compromised Pod affecting other resources.
[ 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐯𝟏.𝟐𝟏 𝐬𝐡𝐢𝐟𝐭𝐞𝐝 𝐟𝐫𝐨𝐦 𝐏𝐨𝐝𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲𝐏𝐨𝐥𝐢𝐜𝐲 𝐭𝐨 𝐭𝐡𝐞 𝐧𝐞𝐰 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐜𝐨𝐧𝐭𝐫𝐨𝐥𝐬 ]

➡️ While 𝐏𝐨𝐝𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲𝐏𝐨𝐥𝐢𝐜𝐲 served its purpose, the new controls offer a more streamlined and accessible approach to enforcing security policies on Pods. 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧 introduces predefined security contexts and customization capabilities, enhancing flexibility, control, and ease of use.Understanding the significance of Pod security is fundamental to managing and operating Kubernetes clusters effectively and securely.

➡️ 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗣𝗼𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗔𝗱𝗺𝗶𝘀𝘀𝗶𝗼𝗻
𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧 is a feature introduced in Kubernetes to enforce clear and consistent isolation levels for Pods. It builds upon the Kubernetes Pod Security Standards, guidelines that govern how Pods behave and interact with other resources.

By applying security restrictions at the Kubernetes namespace level when Pods are created, 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧 provides a mechanism to ensure that Pods operate with only the necessary permissions. This enhances security and aligns with broader best practices in software deployment, minimizing the risk of unauthorized access or compromised resources.
The importance of 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧 lies in its ability to make security a fundamental and integral part of the Kubernetes ecosystem. Rather than treating security as an afterthought, 𝐏𝐨𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧 ensures that it is part of the design and operation of every Pod.

➡️ 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝘀 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗣𝗼𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗔𝗱𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗱𝗲𝗽𝗿𝗲𝗰𝗮𝘁𝗲𝗱 𝗣𝗼𝗱𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆𝗣𝗼𝗹𝗶𝗰𝘆
Kubernetes version 1.21 significantly shifted from PodSecurityPolicy (PSP) to Pod Security Admission. While PSP intended to enforce security settings on Pods, it was deprecated due to its complexity and lack of flexibility.
Pod Security Admission introduces a more streamlined approach, utilizing labels to define admission control modes at the namespace level. These labels dictate the action the control plane takes if a potential violation is detected, such as rejection (enforce), audit annotation (audit), or user-facing warning (warn).


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