- Streamlining EKS Deployment and CI/CD: A Step-by-Step Guide to Automating Application Delivery with Jenkins and Terraform
- In this project, I'll take you through the process of setting up an EKS cluster, deploying an application, and creating a CI/CD pipeline using Jenkins and Terraform.
- By the end of this project, you'll have a fully functional EKS cluster and a simple containerized application up and running, with a CI/CD pipeline that automates the entire process from code to production.
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𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
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ArgoCD is true GitOps tool which continuously monitors applications running in the Kubernetes cluster and compares their current state with the state defined in the git repository.
Prominent Features
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Hello #devops People
𝟭. 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗕𝗮𝗱𝗴𝗲𝘀 𝗦𝗵𝗼𝘄𝗰𝗮𝘀𝗲
Give your resume a visual boost with badges for certifications!
𝟮. 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆
Don't be shy about your tech stack!
𝟯. 𝗪𝗼𝗿𝗸 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀
In the Work Experience section, be crystal clear about your impact!
𝟰. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗦𝗵𝗼𝘄𝗰𝗮𝘀𝗲
Bring your projects into the limelight!
Project: Automatic Deployments
Organization: XYZ Corp
Tools & Tech Used: Jenkins, Docker, Kubernetes
Role: DevOps Engineer
Responsibilities: Automated deployment processes, ensuring zero downtime
Tasks: Streamlined CI/CD pipelines, implemented containerization
𝟱. 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗔𝘄𝗮𝗿𝗱𝘀 𝗦𝗲𝗰𝘁𝗶𝗼𝗻
Create a dedicated space for certifications and awards!
𝟲. 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗦𝗻𝗮𝗽𝘀𝗵𝗼𝘁
Summarize your qualifications for a quick overview!
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Devsinc is one of the fastest-growing IT companies.
Be a part of it now, they are looking for:
⭐️ Junior DevOps
🔖 Experience 0-6 months Years
✉️ Interested candidates can share their profiles at Ifrah.javied@devsinc.com with the subject title "Junior DevOps"
#hiring #devops
😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Be a part of it now, they are looking for:
#hiring #devops
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The fastest way to deploy ♾ your JavaScript app to Kubernetes 🌬 ✨
🌀 In this tutorial, you'll learn how to deploy your first JavaScript application on Kubernetes - a container orchestration platform ☸️
We will deploy a simple express server that returns a sample JSON object on Kubernetes locally using Minikube✨
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/the-fastest-way-to-deploy-your-javascript-app-to-kubernetes
😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
We will deploy a simple express server that returns a sample JSON object on Kubernetes locally using Minikube
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
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In the realm of Azure networking, VNet peering serves as the cornerstone for seamless communication between virtual networks. Imagine your project as a complex ecosystem of interconnected components. VNet peering acts as the invisible thread tying these components together, enabling smooth data flow and collaboration.
🟡 Visualize this process as constructing a network of interconnected gears, each representing a VNet, seamlessly turning together to drive your project forward. By leveraging VNet peering, you're not just connecting networks—you're architecting a robust and secure foundation for your Azure-based projects.
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Docker Init is a command you can use on your computer to quickly begin new projects using Docker. It works with different programming languages like Python, Go, ASP NET, Node.js, and Rust.
When you type "docker init" after installing Docker, it helps you make some important files you need for your project. Below are those files:
If you already have some of these files, Docker Init will warn you. It will ask if you want to replace them with the new ones it creates.Docker Init works smoothly with Docker Compose, which helps manage projects with multiple containers.
If you want to go through detailed documentation below is the link:
https://lnkd.in/gitNnuhS
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ProDevOpsGuy Tech Community
Azure DevOps Zero to Hero Series - ProDevOpsGuy Tech Community
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Continuous Integration and Continuous Deployment (CI/CD) are essential for maintaining agility and efficiency. By automating the integration, testing, and deployment processes, CI/CD pipelines minimize manual errors and accelerate the release cycle.
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What can be better than ansible for automation? 👾
➡️ Ansible tower is an opensource product of red hat it is a powerful automation tool that takes automation to the next level.
✅ Ansible Tower enhances the best qualities of ansible and provides additional capabilities making it for suited for enterprise workloads.
➡️ Here are a few advantages:
➡️ It provides a user-friendly GUI for managing and monitoring automation workflows, making it easier for teams to visualize and interact with their automation tasks.
➡️ Ansible Tower can manage large-scale deployments and complex infrastructures more efficiently than plain Ansible.
➡️ Ansible Tower enables the scheduling of playbook runs and automation jobs, allowing organisations to automate routine tasks, perform maintenance activities.
➡️ Ansible Tower provides advanced inventory management features, allowing enterprises to organize and dynamically update their infrastructure inventory or use external sources.
➡️ The granular RBAC capabilities allows administrators to define and enforce permissions for different users and team.
✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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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
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
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- 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.
- 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.
- 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.
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𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
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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
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:
Set up alerts for critical metrics to proactively address issues.
Leverage automation to scale resources up or down based on demand.
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