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Dev

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Migrating from Bitbucket to GitLab? Here’s how to keep your teams moving without missing a beat.

  • During transitions from Bitbucket to GitLab, teams may still push code to Bitbucket. Keeping both Bitbucket and GitLab repositories in sync ensures nothing gets lost, avoids disruption, and allows for a gradual migration.
  • There are two reliable ways to synchronize repositories: Option 1 is using GitLab's built-in repository mirroring, and Option 2 is syncing using GitLab CI/CD and Bitbucket webhooks.
  • Option 1: Using GitLab Repository Mirroring: Set up mirroring in GitLab project settings, provide Bitbucket repository URL, and choose the sync interval.
  • Option 2: Sync Using GitLab CI/CD and Bitbucket Webhooks: Add a .gitlab-ci.yml file to both Bitbucket and GitLab repositories, configure GitLab CI/CD variables, create a pipeline trigger token in GitLab, and add a webhook in Bitbucket.

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How I Deployed a Vite React App to Azure Static Web App (SWA) Using Azure DevOps CI/CD

  • This news article discusses the process of deploying a Vite React app to Azure Static Web Apps (SWA) using Azure DevOps CI/CD.
  • The article provides a step-by-step guide on pushing code to Azure Repos, creating a Static Web App on Azure, setting up an Azure Pipeline for CI/CD, and adding a deployment token to the pipeline.
  • The tech stack used includes React + Vite frontend, Azure, Azure Static Web Apps (SWA), Azure DevOps Pipelines, and YAML.
  • The full guide includes instructions on setting up an automated pipeline and achieving a seamless production deployment.

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Protect your Website with SafeLine WAF

  • Safeline WAF is a robust tool that provides protection against modern web threats, offering a defense-in-depth approach with multiple security layers.
  • It distinguishes itself through performance optimization, integrating DevOps, and key features like real-time monitoring, automated response actions, and compliance support.
  • Safeline WAF excels in accuracy, maintaining low false positive rates, and offers a balanced approach to security and performance.
  • Performance benchmarks showcase Safeline as a high-performing WAF solution in terms of detection rate, false positive rate, accuracy, and average response time.
  • Compared to other WAF solutions like CloudFlare and ModSecurity, Safeline demonstrates superior detection rates, minimal false positives, and exceptional accuracy.
  • For installation, Safeline WAF can be set up using Docker Compose, following a straightforward process with prerequisites, environment variable configuration, and accessing the web interface.
  • The article covers the basics of Safeline WAF, its key features, performance benchmarks, comparison with other WAF solutions, and a step-by-step guide for installing Safeline WAF using Docker Compose.
  • Implementing a strong WAF solution like Safeline is essential for organizations to protect web applications against sophisticated threats while maintaining performance and compliance.
  • By leveraging AI-powered detection, Safeline WAF enables organizations to enhance their security posture without compromising agility or user experience.
  • Safeline WAF's comprehensive visibility, automated response actions, and performance optimization make it suitable for organizations of all sizes seeking robust web application protection.
  • In conclusion, Safeline WAF is a compelling option for organizations looking to secure their web applications effectively against evolving threats.

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Mastering Linux User Management: The Essential Guide for Every Admin

  • Linux user accounts are an essential part of system administration, controlling resource allocation and access.
  • There are two main types of users in Linux: system users and normal users.
  • Each Linux user is assigned a unique User Identification (UID) for identification purposes.
  • User account information in Linux is stored in /etc/passwd and /etc/shadow files.

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I Replaced Jenkins with GitHub Actions — Was It a Mistake?

  • The author decided to replace Jenkins with GitHub Actions.
  • Initially skeptical, the author found the idea of writing workflows as code in the same repository with tight integration to GitHub elegant.
  • While the migration wasn't a mistake, it also wasn't painless for the team.
  • GitHub Actions had matured and offered a simpler, tighter, and more modern solution.

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Medium

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From 10 Users to 1 Million: How We Scaled Using DevOps Principles

  • Embracing DevOps principles helped in scaling the company from 10 users to 1 million.
  • To improve deployment process, continuous integration and deployment (CI/CD) pipelines were introduced.
  • By implementing centralized logging and monitoring tools, the company was able to identify and address performance issues.
  • The changes resulted in significant time savings and a reduction in production bugs.

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TechBullion

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Revolutionizing DevOps: The Role of AI in Modern Software Development

  • Artificial intelligence (AI) is reshaping DevOps and transforming software development.
  • AI-powered coding tools assist developers in writing, debugging, and optimizing code, leading to increased efficiency and reduced error rates.
  • AI-driven predictive analytics optimize workflow efficiency and reduce deployment failures in Continuous Integration and Continuous Deployment (CI/CD) pipelines.
  • AI in DevOps security improves incident response through real-time threat detection, automated remediation workflows, and streamlined governance.

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Cilium & eBPF: The Future of Secure & Scalable Kubernetes Networking

  • Cilium, powered by eBPF, is revolutionizing cloud networking, security, and observability in Kubernetes.
  • eBPF is an advanced technology in the Linux kernel, enabling safe and efficient packet processing.
  • Cilium enhances Kubernetes networking through packet filtering and routing, network policies, load balancing, and observability.
  • Cilium and eBPF offer advanced features like high-performance networking, identity-aware security policies, load balancing, and deep observability.

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Managing EC2 Instances with the AWS CLI

  • Managing EC2 instances with the AWS CLI offers efficiency, automation, scalability, and flexibility compared to the Management Console for cloud infrastructure management.
  • Setting up AWS CLI on Amazon Linux involves installing and configuring AWS credentials like Access Key ID, Secret Access Key, region, and output format.
  • Launching an EC2 instance via AWS CLI involves using commands like 'aws ec2 run-instances' with details like image id, instance type, key pair, security group id, and subnet id.
  • Listing all EC2 instances can be done using the 'aws ec2 describe-instances' command to check statuses and essential details like Instance ID and tags.
  • Terminating instances with 'aws ec2 terminate-instances' saves costs by deleting unneeded instances, contributing to cost optimization in AWS environments.
  • Using the AWS CLI over the Console offers benefits like faster provisioning, automation, cost optimization, and consistency, making it preferred for DevOps engineers managing instances.
  • By leveraging scripts and commands like run-instances and terminate-instances, DevOps engineers can streamline tasks, automate deployments, and ensure efficient infrastructure management.
  • Managing EC2 instances with the AWS CLI is crucial for DevOps engineers as it simplifies repetitive tasks, enables automation, and enhances infrastructure management capabilities.
  • AWS CLI empowers cloud professionals to handle tasks effectively, reduce errors, and optimize costs, making it a valuable tool for AWS infrastructure management.
  • Experience the power of the AWS CLI in managing EC2 instances to enhance your cloud workflow, automation strategies, and cost-saving initiatives.

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Zen and the Art of Workflow Automation

  • Repetitive tasks in our daily workflow can be a hidden invitation to mindfulness.
  • Mindfulness involves noticing repetitive friction and reflecting on the need for automation.
  • Automation not only saves time but also frees mental bandwidth and enhances the flow state.
  • The author shares a personal example of automating Git branch creation and highlights the benefits of personalizing automation.

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Getting Started with Linux Commands: Mastering File and Directory Operations

  • Linux is known for its powerful command-line utilities that give users granular control over their systems.
  • This article focuses on essential file and directory operations in Linux, including using the cat command for file content manipulation and managing files and directories.
  • The cat command allows you to write, append, and replace file content, while basic commands like touch, cp, mv, and rm are used for creating, copying, moving, and deleting files and directories.
  • By mastering these commands, users can efficiently navigate and manipulate their Linux systems, building a strong foundation for advanced tasks like scripting, system administration, and automation.

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The Self-Hosting Rabbit Hole

  • The article discusses the trade-off between convenience and over-optimization in project momentum.
  • The author transitioned from a cloud-hosted analytics platform to Coolify, a PaaS for self-hosting codebases.
  • Platforms like Heroku and Vercel offer convenience by abstracting AWS infrastructure complexities.
  • Coolify simplifies server management by providing a web interface and automated deployment.
  • Self-hosting with Coolify streamlines deployment processes, eliminating manual configurations.
  • The article highlights the benefits of self-hosting for learning and cost optimization.
  • Installing Coolify on a fresh server is recommended to avoid conflicts and streamline setup.
  • Beware of vendor lock-in risks when platforms control both tooling and infrastructure.
  • The author explores the trend of self-hosting open-source software for learning and customization.
  • The article compares the convenience of Plausible's cloud version versus self-hosting for maintenance and updates.

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Siliconangle

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AI in application development: Maturity matters more than speed

  • AI in application development requires operational maturity. Without solid pipelines and DevOps discipline, AI can amplify existing inefficiencies instead of fixing them.
  • Adopting AI to accelerate application development is no longer optional. Organizations must have infrastructure automation, a mature API strategy, and a strong data management strategy.
  • Successful AI adoption in software development is about enabling velocity through maturity. AI should be seen as an augmentation layer, not a replacement for good engineering practices.
  • Building internal platforms and embracing platform engineering is crucial to abstracting infrastructure complexity for developers and allowing them to focus on delivering business value through AI.

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Using Grammatical Evolution to Discover Test Payloads: A New Frontier in API Testing

  • Grammatical Evolution (GE), when fused with Genetic Algorithms (GA), opens up a beautifully chaotic new approach to payload discovery in API testing.
  • Genome, Grammar, Fitness Function, and Operators are the core components of Grammatical Evolution.
  • Grammatical Evolution allows meaningful payload structure with randomness, enabling injections, formatting errors, anomalies, and memory/delay triggers.
  • The system tracks payloads, finds vulnerabilities, and offers regression discovery, making it useful for QA engineers, security testers, and automation engineers.

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Stream Logs from Docker to Grafana Cloud with Alloy

  • Setting up logging inside containers can be annoying, but Grafana Alloy simplifies the process.
  • A Flask server running inside a Docker container can send logs to Grafana Cloud using Grafana Alloy without host volumes.
  • The process involves setting up Grafana Cloud, creating a Flask app with logging, and configuring Alloy and Loki.
  • With this setup, logs from the Flask app are sent to Grafana Cloud, making it easier to manage and analyze the logs.

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