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Terraform Files and Folder Structure: Organizing Infrastructure-as-Code
When working with Terraform CLI, organizing your configuration files is crucial for your infrastructure's long-term maintainability and scalability as code.
Properly structured files ensure that your Terraform codebase is intuitive to navigate, straightforward…
Properly structured files ensure that your Terraform codebase is intuitive to navigate, straightforward…
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
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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:
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Horizontal scaling involves altering the number of pods available to the cluster to suit sudden changes in workload demands. As the scaling technique involves scaling pods instead of resources, it’s commonly a preferred approach to avoid resource deficits.
Contrary to horizontal scaling, a vertical scaling mechanism involves the dynamic provisioning of attributed resources such as RAM or CPU of cluster nodes to match application requirements. This is essentially achieved by tweaking the pod resource request parameters based on workload consumption metrics.
Cluster scaling involves increasing or reducing the number of nodes in the cluster based on node utilization metrics and the existence of pending pods. The cluster autoscaling object typically interfaces with the chosen cloud provider so that it can request and deallocate nodes seamlessly as needed.
Manual scaling in Kubernetes involves adjusting the number of nodes or resources allocated to a cluster manually. This can be done by adding or removing nodes, adjusting resource requests and limits, and distributing workloads across nodes to optimize performance.
Predictive scaling stands as a transformative approach in the orchestration of cloud-native applications, allowing Kubernetes to not just react to current demands but to anticipate future needs. This forward-looking strategy harnesses the power of data analysis and machine learning to create a more dynamic, efficient, and user-oriented scaling process.
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Jenkins is a popular automation server that can be used to automate the CI/CD pipeline. In this post we will learn how to use Jenkins to automate the following steps:
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In this guide,
You will learn Terraform remote state management using S3 backend and DynamoDb for state locking.
The state file is the source of truth for your infrastructure managed by Terraform.
By default it will be present in the system where you run terraform commands.
With remote state you can collaborate with other developers. Also CI/CD systems can make use of the centralised state file during provisioning and deployments.
We need state locking using DynamoDB/Consul etc to ensure one terraform process modifies the resource at a time.
If the multiple terraform process uses the same state file, it could lead to conflicts and inconsistencies in the state file. (race conditions)
When running Terraform commands (e.g., terraform plan, terraform apply)
- Terraform will Acquire a lock using the DynamoDB table to prevent concurrent modifications.
- It then reads the state file from the S3 bucket.
- Performs the necessary operations.
- Writes the updated state file back to the S3 bucket.
- Releases the lock in the DynamoDB table.
You can get hands-on with this workflow using our detailed blog.
𝗗𝗲𝘁𝗮𝗶𝗹𝗲𝗱 𝗕𝗹𝗼𝗴: https://lnkd.in/gVJNwH69
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www.prodevopsguy.site
50 Ansible Real-Time Use Cases
In this article, we will discuss what is ansible in DevOps and its use cases? You can explain to someone that Ansible is just an automation tool. but, with the abundance of automation tools available, such as Jenkins, Nagios, Docker, and Kubernetes, what…
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
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⛔ Don't share AWS DevOps Engineer profiles
#hiring #azure #devops
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• Knowledge and skills in compute, networking, storage, and database AWS services as well as AWS deployment and management services
• Knowledge and skills in deploying, managing, and operating workloads on AWS as well as implementing security controls and compliance requirements
• Knowledge and skills in using the AWS Management Console and the AWS Command Line Interface (CLI)Understanding of the AWS Well-Architected Framework, AWS networking, security services, and the AWS global infrastructure
• Ability to identify which AWS services meet a given technical requirement and to define technical requirements for an AWS-based application
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
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Choosing between AWS Application Load Balancer (ALB) and Network Load Balancer (NLB) depends on the specific requirements of your application's architecture, traffic patterns, and the protocols used. Both types of load balancers serve to distribute traffic across multiple targets, but they operate at different layers of the OSI model and offer different features.
Here's a detailed comparison and an explanation of how each works:
Layer 7 Load Balancing: ALB operates at the OSI model's application layer (Layer 7). It can make routing decisions based on the content of the HTTP/HTTPS headers, URL paths, query strings, and more.
Features:
Layer 4 Load Balancing: NLB operates at the transport layer (Layer 4). It routes traffic based on IP protocol data, such as TCP port and IP address.
Features:
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You can easily detect if your Pod is experiencing this error. Run “𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐠𝐞𝐭 𝐩𝐨𝐝𝐬”. The faulty Pod’s status is “𝐂𝐫𝐚𝐬𝐡𝐋𝐨𝐨𝐩𝐁𝐚𝐜𝐤𝐨𝐟𝐟 ”.
Use “𝑘𝑢𝑏𝑒𝑐𝑡𝑙 𝑙𝑜𝑔𝑠 <𝑝𝑜𝑑-𝑛𝑎𝑚𝑒>” to know what’s actually going on inside your pod’s container(s). Most likely this will reveal why your app is unable to start.
Insufficient CPU/Memory can cause pods to crash. Set appropriate resource limits and deploy on Nodes that can actually provide a sufficient amount.
Often, the container image you specified does not exist or is in a private repository and your authentication is misconfigured. K8s can never pull the image to run in such cases.
Check the environment variables, config files and secrets supplied to your application. Depending on the environment (prod, dev, etc), you should be supplying the right set.
Pods can crash if they don’t get the persistent volumes they require.
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- 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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