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Dev
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405
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How to Reduce Docker Image Size: Best Practices and Tips for DevOps Engineers
- Optimizing Docker image size is crucial for efficient deployment and orchestration in DevOps.
- Reducing image size improves speed, storage costs, CI/CD pipelines, and security.
- Starting with a minimal base image like Alpine Linux can significantly reduce overall size.
- Multistage builds help eliminate unnecessary dependencies in the final image.
- Avoid installing unnecessary dependencies by only including what is essential.
- .dockerignore helps exclude unnecessary files and directories from the build context.
- Optimizing layers in the Dockerfile by combining commands reduces image size.
- Cleaning up temporary files after installing packages helps maintain a minimal image size.
- Using smaller language runtimes and compressing layers further reduce image size.
- Regularly auditing images and using tools like Docker Image Scanning improve security and efficiency.
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Dev
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Learn AWS DevOps from Zero: A Complete Beginner’s Guide
- AWS DevOps combines AWS with DevOps practices to enhance software development and deployment efficiency.
- DevOps promotes collaboration, automation, CI/CD, and feedback for improved software delivery.
- AWS offers scalability, managed services, pay-as-you-go pricing, and security for effective DevOps.
- To start with AWS DevOps, understand cloud computing basics and set up an AWS account.
- Key AWS DevOps tools like CodeCommit, CodeBuild, CodeDeploy, and CodePipeline streamline development processes.
- AWS CodeCommit hosts Git repositories, CodeBuild compiles code, CodeDeploy automates deployments, and CodePipeline orchestrates CI/CD.
- Implement CI/CD on AWS by integrating CodeCommit, CodeBuild, CodeDeploy, and CodePipeline stages.
- Use CloudFormation and AWS CDK for Infrastructure as Code (IaC) to provision and manage AWS resources.
- Monitor applications using CloudWatch and X-Ray, and adhere to security best practices with IAM, KMS, and Secrets Manager.
- Engage with the AWS DevOps community, practice hands-on projects, and stay updated with AWS resources for continuous learning.
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Dev
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Writing a Dockerfile: Beginners to Advanced
- A Dockerfile is a text file containing instructions to build a Docker image with all dependencies.
- Key components include base image, application code, dependencies, and configurations.
- Dockerfile standardizes application builds, ensuring consistency and portability.
- Learning Dockerfiles is vital for portability, CI/CD automation, version control, and collaboration.
- Intermediate concepts include multi-stage builds, environment variables, and healthcheck instructions.
- Advanced techniques involve optimizing image size, using build arguments, and implementing security best practices.
- Debugging Dockerfiles involves building incrementally, inspecting layers, using RUN for debugging, and checking log files.
- Best practices include version pinning, optimizing layers, using .dockerignore, keeping images lightweight, and adding metadata.
- Common mistakes to avoid are using large base images, not using multi-stage builds, hardcoding secrets, and not cleaning up after installation.
- Mastering Dockerfiles leads to efficient and secure container deployment, streamlining application containerization.
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Dev
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405
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DevOps Automation with Shell Scripting 🚀
- DevOps automation with shell scripting is crucial for managing complex systems and accelerating development cycles.
- Shell scripts are lightweight, versatile, and can integrate with other DevOps tools like Jenkins and Ansible.
- Basic concepts of shell scripting include essential commands, variables, conditionals, and loops.
- Setting up the environment for automation involves using Bash, text editors like Vim, and granting executable permissions.
- Shell scripting in DevOps can be applied to tasks such as system monitoring, deployments, backup, and log management.
- Advanced techniques like functions, error handling, and parsing arguments enhance shell scripting capabilities.
- Best practices for shell scripting in DevOps include commenting code, using descriptive variable names, modularizing with functions, and error handling.
- Hands-on projects like server provisioning, CI/CD pipeline scripts, user access management, and health checks help improve shell scripting skills.
- Mastering shell scripting enables DevOps engineers to automate tasks efficiently, ensuring consistency and reliability in processes.
- Continuous practice and exploration of advanced techniques are key to enhancing DevOps automation with shell scripting.
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Dev
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138
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Level Up Your Command Line: Introducing Terminal Troubleshooter! (Built with AWS Q CLI)
- Terminal Troubleshooter is an interactive, text-based game developed to enhance learning and troubleshooting IT issues using Linux, Docker, and Kubernetes commands.
- The project integrates modern AI assistance, specifically AWS Q CLI, to create a fun and engaging experience in the command line environment.
- It provides a risk-free way to practice core command-line skills, prepare for real-world scenarios, and have fun earning XP and solving puzzles.
- The game features an interactive terminal simulation, scenario-based learning, progressive difficulty levels, and a retro terminal vibe for a unique learning experience.
- Built with Python, Terminal Troubleshooter simulates various IT environments and commands, handling responses, state changes, and game progression.
- AWS Q CLI enhances development by generating code, suggesting clean implementation approaches, providing debugging assistance, and aiding in API exploration.
- The game is extensible, allowing contributions such as adding new levels, enhancing commands, and expanding the simulated system components.
- To get involved, interested individuals can clone the repository, set up a virtual environment, install dependencies, and run the game using the provided instructions.
- Future plans for Terminal Troubleshooter include adding complex levels, deeper command simulations, a scoring system, and persistent game state.
- The project offers a learning platform for Python, GameDev, DevOps, SysAdmin, Linux, Kubernetes, and more, welcoming feedback, ideas, and contributions from the community.
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Dev
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167
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MFA Fatigue Attacks and Session Hijacking: How Threat Actors Bypass Modern Defenses
- Threat actors have evolved to bypass multi-factor authentication (MFA) through fatigue attacks and session hijacking.
- MFA fatigue attacks overwhelm users with push notifications to trick them into approving malicious requests.
- Session hijacking occurs when attackers steal tokens post-MFA authentication, allowing them to impersonate users and move laterally.
- SAML and SSO trust relationships can be exploited by attackers to forge tokens, replay across services, and bypass validations.
- DevOps pipelines are often soft targets for attackers due to weak security practices around CI/CD tokens, cloud credentials, and API keys.
- Defense strategies include enforcing conditional access, replacing push-based MFA with FIDO2 or passkeys, shortening token lifespans, and monitoring session use.
- Practical examples include using Azure AD Conditional Access to block legacy authentication attempts and enforce risk-based MFA.
- To enhance security, organizations should focus on locking down DevOps and CI/CD access, rotating service principal secrets regularly, and educating users on security risks.
- MFA alone is not sufficient against modern threats; implementing additional security measures and best practices is crucial to protect against evolving attack techniques.
- Recommendations include replacing push MFA with FIDO2, monitoring for suspicious token reuse, securing CI/CD and SSO trust relationships, rotating secrets, and providing user education.
- Resources cited include techniques to protect against MFA fatigue attacks, insights on the Golden SAML attack, tools like Evilginx2 and Yubico FIDO2 keys, and scanners like TruffleHog for secrets.
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Dev
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50
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Design-by-Contract for Infrastructure: Stop Praying Your YAML Will Work
- Design-by-Contract for Infrastructure introduces the idea of applying software correctness principles to infrastructure definitions.
- It involves defining preconditions, postconditions, and invariants for infrastructure elements to ensure reliability and prevent issues.
- By embedding contractual guarantees into the system and validating them pre- and post-deployment, it aims to prevent errors and ensure expected behavior.
- While this approach is not widely adopted yet, it offers a promising way to enhance infrastructure reliability and consistency.
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Dev
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54
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Shared Hosting Isn’t Set-and-Forget: Best Practices for Developers
- Shared hosting is popular among early-stage developers for its cost-effectiveness and beginner-friendly nature, but it requires attention and maintenance.
- When opting for shared hosting, websites share server resources with other sites, which can lead to performance slowdowns and security risks.
- Best practices for developers on shared hosting include monitoring performance, isolating code, automating backups, watching for limits, and reviewing access logs.
- Consider outsourcing support for shared hosting to services like Bobcares Shared Support for tasks like security hardening, monitoring, backup management, and troubleshooting.
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Dev
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75
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HOW TO DEPLOY A WEB APP WITH CI/CD PIPELINES ON AZURE APP SERVICE
- A web app is a software application accessed through a web browser, providing dynamic content and interactivity.
- Web apps have characteristics like dynamic content, interactivity, accessibility, and scalability.
- Types of web apps include static, dynamic, and progressive web apps for various user experiences.
- CI/CD pipelines automate processes to help development teams build, test, and deploy software efficiently.
- CI involves automating code changes' build, test, and validation, while CD handles deployment to production.
- Benefits of CI/CD pipelines include faster time-to-market, improved quality, and increased efficiency in software delivery.
- Azure App Service is a PaaS offering from Microsoft Azure for building, deploying, and scaling web applications.
- Azure App Service features managed platform, support for multiple languages, and integration with other Azure services.
- Benefits of Azure App Service include faster deployment, scalability, and enhanced security features.
- Use cases of Azure App Service include building web applications, APIs, and mobile apps with ease.
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Dev
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Writing Kubernetes Manifests: From Beginner to Advanced
- Kubernetes manifests are crucial for defining, deploying, and managing workloads in Kubernetes clusters, aiding in efficient application management and scalability.
- This article progresses from fundamental concepts of writing Kubernetes manifests to advanced techniques and best practices, offering valuable insights for DevOps engineers.
- Kubernetes manifests, typically in YAML or JSON, describe the desired state of resources in a Kubernetes cluster, facilitating declarative resource management.
- They offer advantages such as declarative configuration, portability across environments, and seamless integration with CI/CD pipelines for automation.
- Learning Kubernetes manifests enables streamlined deployments, scalability adjustments, consistency maintenance, customization, and integration with DevOps workflows.
- Understanding the structure of manifests, including core components like apiVersion, kind, metadata, and spec, is essential before writing manifest files.
- YAML is predominantly used for Kubernetes manifests due to its readability, ease of writing, and support for comments, contrasting with JSON.
- Example manifests for Pods, Deployments, Services, and ConfigMaps are provided, showcasing the structure and content of basic Kubernetes resources.
- Intermediate concepts like multi-container pods, resource management, secrets, and persistent storage enhance the efficiency of handling complex workloads.
- Advanced techniques like multi-stage manifests, rolling updates, horizontal pod autoscaling, and best practices like namespace organization and metadata attachment are discussed for optimized workload management.
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Dev
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243
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How to Crack Your First DevOps Interview: Tips and Sample Questions
- DevOps bridges development and operations teams by emphasizing automation and collaboration for efficient software delivery.
- Key aspects of DevOps include faster delivery, improved quality, better collaboration, and scalability through automation.
- DevOps culture promotes collaboration, continuous feedback, automation, and experimentation to create a cohesive work environment.
- Essential skills for DevOps engineers encompass programming, cloud platforms, CI/CD, containers, orchestration, monitoring, and IaC.
- Pre-interview preparation involves understanding job requirements, revisiting core concepts, practicing hands-on tasks, and preparing real-world examples.
- Common DevOps interview topics cover version control, CI/CD, containerization, orchestration, cloud infrastructure, monitoring, and IaC.
- Top DevOps tools to know include Git, Jenkins, Docker, Kubernetes, Terraform, Prometheus, and collaboration tools like Slack and Jira.
- DevOps interview questions may focus on CI/CD, containerization, IaC, and soft skills to assess technical knowledge and behavioral attributes.
- Soft skills like collaboration, communication, and adaptability are essential for DevOps engineers.
- Post-interview best practices include sending a thank-you email, reflecting on performance, and staying patient for the company's response.
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Dev
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319
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Automating Infrastructure with AWS CloudFormation: A Beginner's Guide
- Automating infrastructure with AWS CloudFormation simplifies resource management by leveraging Infrastructure as Code (IaC).
- CloudFormation benefits include automation, scalability, consistency, cost efficiency, and error reduction.
- Key components of CloudFormation include templates, stacks, StackSets, and Change Sets.
- Setting up CloudFormation involves creating an AWS account, setting up an IAM role, and accessing it via the AWS Management Console.
- CloudFormation templates in JSON or YAML define infrastructure resources and their configurations.
- Deploying a CloudFormation stack involves writing a template, creating a stack, configuring details, reviewing, and deploying it.
- Advanced CloudFormation features include Nested Stacks for modularization and Change Sets for previewing updates.
- Best practices include parameterizing templates, organizing resources, enabling rollbacks, tagging resources, and validating templates.
- Common CloudFormation challenges include stack rollback, template errors, and IAM permission issues.
- CloudFormation offers an automated approach to infrastructure management, making it a valuable tool for DevOps engineers.
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Dev
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The Role of DevOps in Accelerating Software Delivery
- DevOps is a mindset and culture that breaks down silos between developers and operations teams to achieve faster delivery, fewer bugs, and enhanced collaboration.
- CI/CD (Continuous Integration and Continuous Deployment) forms the core of DevOps, automating the testing, building, and deployment processes for code changes.
- DevOps emphasizes collaboration, leading to improved communication, shared goals, and a shift from blame to teamwork within organizations.
- While adopting DevOps comes with challenges like unlearning habits and fixing pipelines, the benefits include increased deployment frequency, reduced lead time for changes, and improved bug resolution.
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Medium
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159
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About Me — Precious Okpor
- Precious Okpor is a DevOps engineer, tech enthusiast, and gamer with a curiosity for how things work and how to improve them, especially in challenging environments.
- Living and working in Nigeria, he faces unique challenges like electricity cuts, unstable networks, and infrastructure gaps, which have made him more resilient, inventive, and appreciative of possibilities.
- He shares his journey through writing, documenting the highs, failures, hacks, and insights gained from navigating a system that often presents obstacles.
- Through his stories, Precious aims to offer something valuable, honest, or surprising to others facing similar environments or even those in different circumstances.
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Dev
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307
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The synergy between DevOps and Cloud Computing
- The synergy between DevOps and Cloud Computing offers serious speed, scale, and stability.
- DevOps enables agility while Cloud provides scalability, ensuring faster deployment cycles and easier rollback and recovery.
- Cloud supercharges DevOps through elastic infrastructure, CI/CD as a service, Infrastructure as Code (IaC), monitoring, logging, and security at scale.
- The real-world DevOps + Cloud stack includes tools like AWS, GitHub Actions, Terraform, Prometheus, Docker, and Kubernetes on EKS for rapid innovation, resilience, visibility, and team alignment.
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