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Microsoft
1d
239
Image Credit: Microsoft
Azure Boards + GitHub: Recent Updates
- Smarter Link Management for Branches, PRs, and Commits: Azure Boards now automatically links merge commits and pull requests to associated work items, reducing the need for manual linking.
- Build Status from GitHub Repos (YAML Pipelines): Azure Boards displays the Integrated in build link from GitHub repositories when using Azure YAML pipelines, improving traceability from code to deployment.
- Increased GitHub Repository Limit: Azure DevOps project now supports connecting up to 1,000 GitHub repositories, providing better scalability for organizations.
- State Transition Support: Linking GitHub pull requests to Azure Boards work items now supports state transitions, allowing automatic updates of work item states on merge.
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The New Stack
1d
151
Image Credit: The New Stack
Tutorial: GPU-Accelerated Serverless Inference With Google Cloud Run
- Google Cloud launched GPU support for the Cloud Run serverless platform, enabling developers to accelerate serverless inference of models deployed on Cloud Run.
- The tutorial explains the steps to deploy the Llama 3.1 Large Language Model (LLM) with 8B parameters on a GPU-based Cloud Run service.
- The guide demonstrates the initialization of the environment, deploying the Text Generation Inference (TGI) server using the Hugging Face model, and performing inference using cURL or the OpenAI Python library.
- This tutorial provides insights into how to leverage GPU-acceleration for serverless inference using Google Cloud Run.
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9 Likes
Dzone
1d
189
Image Credit: Dzone
Zero Trust Isn't Just for Networks: Applying Zero-Trust Principles to CI/CD Pipelines
- Zero trust has become essential for enterprise security, applied to networks, user identities, and endpoints.
- However, CI/CD pipelines have been overlooked in terms of applying zero-trust principles.
- Pipelines commonly involve long-lived secrets and excessive access, which conflicts with the zero-trust model.
- Treating pipelines as untrusted by default is necessary to enhance automation and access security.
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11 Likes
Dev
1h
179
Image Credit: Dev
Serving Open Graph to Bots at hey.xyz: Our Client-Side SPA Approach
- At hey.xyz, the challenge of serving proper metadata to social media crawlers and search engines when using a client-side SPA built with Vite and React Router 7 was addressed.
- A dual-architecture system was implemented, consisting of the main web app as a CSR app built with Vite + React Router 7, and a separate OG Service as a minimal SSR Next.js app that only renders metadata.
- A Cloudflare Worker acts as a traffic cop, redirecting bot requests to the specialized OG Service, while allowing regular user requests to access the CSR app.
- This approach ensures a fast and interactive experience for users, while still providing proper social sharing and SEO capabilities.
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Dev
2h
79
Image Credit: Dev
Day 10: My first GitHub action
- GitHub Actions is a powerful automation tool that helps automate repetitive tasks like testing, building, and deploying code.
- Workflows in GitHub Actions are defined in YAML files and can be triggered by events like push, pull request, etc.
- Jobs in GitHub Actions are groups of steps that run on the same machine, and each job runs in a fresh environment.
- Steps in GitHub Actions are individual tasks executed in order within a job.
- Creating a GitHub Action involves writing a YAML file in the repository, defining workflows, jobs, and steps.
- Resources like GitHub Actions documentation and LinkedIn Learning courses can help in understanding and implementing GitHub Actions.
- GitHub Actions are beneficial for both beginners and experienced developers in automating tasks and deploying applications.
- It simplifies the process of automation in development and allows for deploying projects easily directly from the GitHub repository.
- GitHub Actions can handle both simple and complex workflows, making it versatile for various automation needs.
- Exploring GitHub Actions is recommended for anyone starting their DevOps journey or looking to enhance automation skills.
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4 Likes
Dev
7h
28
Image Credit: Dev
GitOps and IaC at Scale – AWS, ArgoCD, Terragrunt, and OpenTofu – Part 2 – Creating Spoke environments
- The article discusses deploying spokes cluster using the GitOps bridge framework with AWS enterprise capabilities and security best practices.
- Considerations include using one IaC repository for accounts, teams, or squads based on organizational structure.
- Capacity planning varies, with some organizations sharing clusters and grouping applications by namespaces.
- The architecture can have a single hub managing multiple environments or separate hubs for each environment cluster.
- Capacity planning and networking are main challenges addressed in the deployment scenarios.
- Implementations involve setting up credentials, enabling RAM as a trusted service, and creating IAM roles for authentication.
- Infrastructure is managed using tools like Terragrunt, creating parameter stores and IAM roles for authentication.
- The GitOps bridge stack includes configurations for handling secrets, enabling IRSA roles, and managing cluster authentication.
- Spoke cluster infrastructure is managed separately, allowing custom CI/CD pipelines and features for each team.
- The article concludes by emphasizing the importance of managing cluster secrets and metadata information in the spoke clusters.
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1 Like
Dev
8h
131
Image Credit: Dev
Chaos Engineering for Microservices: Resilience Testing with Chaos Toolkit, Chaos Monkey, Kubernetes, and Istio
- Chaos Engineering is crucial for ensuring resilience in cloud-native environments with microservices, Kubernetes, and Istio.
- It involves proactively introducing controlled failures to identify system weaknesses and improve reliability.
- Chaos Toolkit, Chaos Monkey, and Istio-based fault injection are valuable for Java, Node.js, Kubernetes, and Istio applications.
- Chaos Engineering lifecycle follows structured experiments to enhance system resilience continuously.
- Chaos Toolkit and Chaos Monkey have different use cases, with Chaos Toolkit suitable for Kubernetes-based testing and custom failure scenarios.
- Chaos Monkey is ideal for Spring Boot applications and lightweight, built-in failure injection for Java microservices.
- Chaos Toolkit offers a versatile framework for chaos testing in Java, Node.js, Kubernetes, and Istio.
- Chaos Monkey for Spring Boot injects failures dynamically across different layers of a Spring Boot application.
- Chaos Monkey attacks can be manually enabled to introduce latency or exceptions dynamically in Spring Boot applications.
- Chaos Engineering principles can be implemented in Node.js using Chaos Toolkit and third-party libraries like Chaos Monkey for Node.js.
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7 Likes
Dev
10h
247
Image Credit: Dev
Easily Manage Node.js Versions with NVM — Complete Setup + Tips (macOS, Linux, Windows)
- NVM (Node Version Manager) is a CLI tool to manage multiple Node.js versions, perfect for switching between projects or testing on different versions.
- To install NVM on macOS/Linux, use curl or wget command. On Windows, it is recommended to use NVM-Windows.
- Some useful NVM commands include: installing a specific Node.js version, listing installed versions, switching between versions, setting a default version, updating to the latest version, showing the currently active version, running a file or executing a command using a specific version, and uninstalling a version.
- For switching Node versions within a project, you can use a .nvmrc file in the project directory or tools like avn for automatic version switching.
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14 Likes
Dev
10h
229
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Mastering the mkdir Command in Linux (Made Simple & Practical)
- mkdir (make directory) is a Linux command used to create new folders
- In addition to creating a single folder, mkdir has several other use cases:
- It is important to use the -p flag when creating nested directories or multiple directories at once
- Proper permission settings are necessary to create new folders, and it is recommended to avoid using sudo unless necessary
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13 Likes
Medium
11h
255
Image Credit: Medium
10 DevOps Terms Every ML Engineer Should Know
- DevOps bridges the gap between ML experimentation and production impact.
- ML engineers need to know important DevOps terms for deployment and scaling of models.
- Continuous Integration (CI) helps ensure smooth integration and faster iteration in ML projects.
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15 Likes
Dev
13h
264
Image Credit: Dev
🚀 From Docker to Kubernetes: The Containerization Chronicles
- Docker is used for packaging and running a single application, while Kubernetes helps run multiple apps efficiently, especially when scaling.
- When using Docker, running 'docker run' starts an isolated container with necessary app components, sharing the host OS kernel for lightweight performance.
- Internally, Docker utilizes Linux namespaces, cgroups, and a Union File System to manage containers efficiently.
- Kubernetes complements Docker by managing multiple containers, enabling deployment, scaling, updates, and self-healing in a microservices environment.
- Kubernetes doesn't replace Docker but works with it to orchestrate container lifecycles in a distributed system.
- To deploy a Spring Boot microservice on Kubernetes, build and push a Docker image, then create YAML files for Deployment and Service configurations.
- YAML files specify deployment replicas, container images, ports, and services to expose application functionality.
- For multiple microservices and databases, separate Deployments and Services are created, with optional Ingress to manage external traffic routing.
- Docker builds and runs containers, while Kubernetes orchestrates containers across nodes in production, offering autoscaling and resilience.
- Understanding Docker's internals, Kubernetes basics, deploying microservices, and reading YAML manifests are key takeaways for building cloud-native apps.
- The combined use of Docker and Kubernetes forms the foundation for developing scalable, cloud-native applications.
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15 Likes
Dev
16h
336
Image Credit: Dev
How to Create and Connect to a Linux VM Using a Public Key
- Creating a Linux VM in Azure and connecting to it using a public key is a secure method for managing cloud-based systems.
- To create a Linux VM in Azure, you need to log in to the Azure Portal, create a virtual machine, and configure the necessary settings.
- To connect to the Linux VM using SSH, you can download the private key, open your terminal or PowerShell, and run the SSH command with the key and IP address.
- After connecting to the VM, you can update the server and install a web server like Nginx to host websites or web apps.
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20 Likes
Dev
1d
75
Image Credit: Dev
How to Compress Web Assets in Real-Time Using Brotli with NGINX
- Brotli compression provides better compression ratios than gzip for text-based assets such as HTML, CSS, and JavaScript.
- To enable Brotli compression with NGINX, install Brotli and enable it in the NGINX configuration.
- You can test the configuration and combine Brotli with static precompression for further optimization.
- By enabling Brotli compression, you can enhance website performance and optimize page delivery.
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4 Likes
Dev
1d
367
Image Credit: Dev
🚀 Dockerfile Best Practices – Make Your Builds 10x Faster
- Dockerfile builds can be slow and inefficient.
- This article provides Dockerfile best practices to make builds faster, use fewer system resources, and deploy faster and safer.
- Some common mistakes are discussed, along with their corresponding fixes.
- The article also provides a quick checklist for Dockerfile best practices.
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22 Likes
Dev
1d
324
Image Credit: Dev
150+ DevOps Interview Questions with expert tips
- Preparing for DevOps interviews can be overwhelming, but this article offers a comprehensive roadmap with 150+ categorized questions and expert tips.
- The article covers beginner, intermediate, and expert levels of DevOps questions, including real-world scenarios and tool-specific inquiries.
- It emphasizes important lessons for interview success, such as explaining the 'why,' showcasing troubleshooting skills, and highlighting the significance of soft skills in DevOps.
- Basic questions range from defining DevOps to understanding CI/CD, while intermediate questions delve into topics like container orchestration and microservices architecture.
- Advanced questions tackle complex topics like CI/CD pipeline design, disaster recovery, and balancing speed vs. stability in production environments.
- Tool-specific questions cover Docker, Kubernetes, Jenkins, as well as cloud platforms like AWS, Azure, and GCP, along with monitoring tools like Prometheus and Grafana.
- The article includes recommended resources for upskilling, emphasizing the importance of daily tool practice, explaining decision-making rationale, and sharing stories during interviews.
- DevOps roles are in high demand, and thorough preparation based on the insights provided can help candidates secure positions successfully.
- Key advice includes practicing with tools regularly, detailing reasons behind choices, and sharing experiences alongside technical skills to excel in DevOps interviews.
- The comprehensive guide offers readers a valuable toolkit for excelling in DevOps interviews and emphasizes the importance of hands-on practice and effective communication.
- The blog equips individuals with the necessary knowledge and strategies to confidently tackle various DevOps interview questions, reinforcing the significance of practical experience and soft skills.
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