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Dew Drop – May 6, 2025 (#4413)

  • TechBash 2025 Keynotes Announced, Docker MCP Catalog and Toolkit introduced for AI agents, and Teams AI Library and MCP support updated.
  • Web & Cloud Development highlights include error handling in Minimal API apps, Azure services comparison, and improving WebStorm's performance.
  • Insights on migrating Xamarin apps to .NET MAUI, nuances of StringComparison.InvariantCulture, and best practices for shared libraries in .NET apps.
  • AI updates cover remote MCP server registration, Azure ML features, Generative AI for SDKs, and the benefits of vibe coding.
  • Discussions on observability, Flutter DataGrids for trading apps, Android Material 3 design leak, and exploring mirror fabric for 3D printing.
  • Podcasts cover AI code generation, Agile history, cybersecurity, developer trends, and insights on microservices.
  • Events and community updates, along with database insights on MySQL, SQL Server ML integration, Postgres, and SharePoint Roadmap Pitstop.
  • PowerShell release announcement and diverse topics like OpenAI's evolution, Windows 11 Insider builds, wind energy lawsuits, and the 20th anniversary of Open Document Format.
  • Additional link collections featuring AWS updates, reading lists, and book recommendations on user experience design and writing.

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Pulumi + Azure: Managing Multiple Environments (Dev, Staging, Prod)

  • Real-world projects have multiple environments (e.g., dev, staging, prod) to catch mistakes before they impact users, with different infrastructural settings and configurations.
  • Pulumi manages environments through stacks, isolated instances of Pulumi programs with their own resources and configurations.
  • Per-stack config files in Pulumi separate settings between environments, allowing for environment-specific configuration values without changing the code.
  • Using Pulumi stacks and configuration settings, developers can create different resources like storage accounts for different environments easily and maintain a structured and flexible infrastructure.

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Remote Development with Cursor?

  • Diploi, a deployment platform, now supports remote development with Cursor.
  • Users can start coding applications without local installations, connecting to remote environments on Diploi.
  • Creation of projects and development deployments is explained step by step in the guide.
  • Connecting to development deployments through Cursor is detailed, with instructions on troubleshooting and setting default actions.

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Seamless Jenkins Migration Across Platforms Using Docker Compose

  • Migrate Jenkins from Linux VM to macOS involves backing up the JENKINS_HOME, transferring the backup to macOS, installing Jenkins on macOS, replacing macOS Jenkins data with the backup, and verifying the migration.
  • Restoring Jenkins from Backup using Docker Compose requires backing up JENKINS_HOME, transferring the backup to macOS, extracting the backup, creating a docker-compose.yml file, starting Jenkins with Docker Compose, and verifying the restoration.
  • A known issue involves an Admin Login problem, which can be resolved by deleting the Admin User or altering the Admin Hashed Password stored in the config.xml file.

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πŸš€ "Forget the Weather App – I Check the Forecast Using My Linux Terminal "

  • Forget checking the weather using a mobile app, as a Linux user, you can now access the forecast directly from the terminal.
  • Learn to use curl and wttr.in to check the weather and customize the output.
  • Follow the step-by-step tutorial to check and customize the weather output in the Linux terminal.
  • Create a weather shortcut by adding an alias to your .bashrc or .zshrc file for quick access to the terminal weather forecast.

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How to Take Remote Backups Using rsync Over SSH (Day 12 of 30)

  • Backups are crucial for system administrators, and rsync is a trusted open-source tool for remote backups.
  • Organizations still prefer rsync due to its simplicity, efficiency in transferring only changed files, security with SSH, and flexibility.
  • Rsync is a command-line tool for file synchronization, while SSH ensures secure data transfer over networks.
  • Step-by-step guide includes checking rsync installation, performing backups from remote to local using rsync over SSH, and creating scheduled backup scripts.

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Building Your Own Web Server β€” Part 3: Blocking Single and Multithreaded Server

  • The article discusses implementing a web server from scratch, focusing on handling TCP connections and serving HTTP traffic through three server models: blocking single-threaded server, blocking server with keep-alive support, and multithreaded non-blocking server.
  • Readers will learn to implement a blocking TCP server, extend it for HTTP keep-alive connections, use threads for parallel client handling, structure code with clean building blocks, parse requests using configuration files with NGINX-style blocks, benchmark the server using ApacheBench, and compare performance between single-threaded and multithreaded architectures.
  • The blocking single-threaded server handles one connection at a time, while the blocking server with keep-alive feature enables multiple requests on the same socket. The article introduces HTTPSession, DataProvider, and HTTPProcessor classes to manage client connections, buffer raw data, and process HTTP messages.
  • The NGINX-style routing logic is explained, describing how server and location blocks are matched to define routes-to-file mappings. The RouteMatcher class is used to select the correct root directory based on the request URI.
  • The article presents the implementation of the server with config and NGINX-style routing support, allowing configurable server behavior. Route matching is demonstrated using a priority system with location blocks.
  • Benchmark results from ApacheBench showcase varying performance metrics for different scenarios, comparing single client operations, concurrent clients, and keep-alive connections. Conclusions highlight the advantages of multithreaded servers in handling concurrency and the limitations of blocking servers in scalability.
  • The transition from blocking to multithreaded servers is discussed, emphasizing the significance of threads in enabling parallel client handling and avoiding server freezes. The impact of Python's Global Interpreter Lock (GIL) on threading efficiency is addressed in the context of I/O-bound tasks like web servers.
  • The performance comparison between blocking and multithreaded servers reveals the importance of concurrency handling and the scalability benefits of multithreaded architectures. Keep-Alive connections significantly improve server performance in various scenarios.
  • Readers are encouraged to explore non-blocking I/O and event-driven architecture in the next part of the series for improved server performance and scalability.

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These DevOps KPIs Will Boost Your Performance In 2025

  • DevOps KPIs in 2025 focus on performance, alignment, and value delivery.
  • Key KPIs include deployment frequency, lead time for changes, change failure rate, and mean time to recovery.
  • Other important metrics are system uptime, developer productivity, infrastructure as code coverage, and security scan success rate.
  • Tracking these KPIs enables data-driven decision-making for elite DevOps teams in 2025.

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The AWS GameDay challenge with Terraform

  • AWS GameDay is a team-based challenge for technical professionals to sharpen their real-world AWS and Terraform skills in a dynamic, gamified environment.
  • Participants get to launch and repair AWS infrastructure, boost collaboration skills, experiment in a safe-to-fail environment, and develop troubleshooting skills.
  • During the event, teams work with Terraform to deploy real AWS resources, troubleshoot issues, and implement best practices in security, scalability, and availability.
  • AWS GameDay events include elements like kickoff, deployment challenges, point scoring, leaderboard, and award ceremonies, providing a comprehensive and interactive learning experience.

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Kubernetes v1.33: Prevent PersistentVolume Leaks When Deleting out of Order graduates to GA

  • Kubernetes v1.33 introduces General Availability (GA) for a feature preventing PersistentVolume leaks when deleting out of order.
  • Previously in Kubernetes, deleting a PersistentVolume (PV) before deleting its corresponding PersistentVolumeClaim (PVC) could lead to storage asset leaks in external infrastructure.
  • With the graduation to GA in Kubernetes v1.33, the PV reclaim policy is now reliably honored even if PVs are deleted before their bound PVCs, using finalizers for storage backend resource release.
  • To enable this new behavior, users must upgrade their cluster to Kubernetes v1.33 and run the CSI external-provisioner version 5.0.1 or later.

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Bring third-party incidents into Better Stack

  • Incidents in cloud and SaaS tools can impede users as much as faults in your own code, and having a unified on-call queue for both can accelerate the resolution process.
  • IsDown now seamlessly integrates with Better Stack via a native API connection, where every outage detected by IsDown is reflected as an incident in Better Stack, following existing escalation protocols and resolving automatically upon vendor recovery.
  • By consolidating vendor status and internal monitoring within Better Stack, teams benefit from a shared incident feed, streamlined communication, consistent paging, noise control, instant context, automatic incident resolution, and a comprehensive timeline of updates.
  • Setting up the integration between IsDown and Better Stack takes approximately 2 minutes, requires a Better Stack token with incident creation privileges, and an IsDown paid plan. Users can choose specific vendors to monitor, apply filters, and seamlessly receive vendor updates within Better Stack.

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What’s Really Running in MySQL? Use SHOW PROCESSLIST to Find Out

  • SHOW PROCESSLIST command in MySQL helps monitor active threads and ongoing operations.
  • It provides insights into connected clients and allows DBAs to diagnose slow queries.
  • Using the KILL command can terminate stuck queries or deadlocks, ensuring smoother operations.
  • Tools like Releem offer real-time insights into MySQL processes, simplifying monitoring and optimization tasks for DBAs.

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Unite

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AI-Driven Cloud Cost Optimization: Strategies and Best Practices

  • AI-driven cloud cost optimization has become crucial as companies migrate workloads to the cloud, with Gartner estimating that 30% of global cloud spending is wasted annually.
  • Artificial intelligence analyzes real-time usage data to automate cloud cost optimization, helping organizations maintain performance while reducing waste.
  • AI detects overspending patterns, provides actionable strategies to optimize spending, and enables quick identification of abnormal expenses.
  • Strategies like workload placement, anomaly detection, rightsizing, predictive budgeting, and predictive autoscaling enhance cloud cost efficiency.
  • Integration of AI tools into DevOps and FinOps workflows is essential for effective cost optimization and budget management.
  • Key practices for successful cloud cost optimization include ensuring reliable data, aligning with business goals, and gradually automating optimization processes.
  • Mistakes to avoid include over-relying on automated rightsizing, scaling without limits, and ignoring provider-specific discounts.
  • Looking ahead, AI's role in cloud cost management is expected to expand, incorporating sustainability data and offering semi-autonomous platforms.
  • Successful cloud cost management with AI tools involves integrating them into workflows, ensuring data accuracy, and fostering shared accountability.
  • AI transforms cloud cost management into a continuous, data-driven process benefiting engineers, developers, and finance teams.

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Day 12/ 30 Days of Linux Mastery: Process Management Simplified

  • Day 12 of Linux Mastery focuses on Process Management Simplified.
  • Processes are running instances of programs in Linux, each with a unique PID.
  • Core process management commands include ps, top, kill, jobs, bg, fg, and more.
  • Understanding process management is crucial for maintaining stable and responsive systems in production environments.

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AWS Config vs Kubernetes Native Policy Engines: Who Governs What?

  • In cloud-native environments, compliance and governance are crucial for security and operational efficiency.
  • AWS Config and Kubernetes-native engines like OPA and Kyverno play different roles in governing containerized workloads.
  • AWS Config focuses on cloud-wide compliance, while Kubernetes-native engines handle cluster-level policy enforcement.
  • AWS Config monitors and evaluates AWS resource configurations against desired states for compliance.
  • AWS Config can detect misconfigurations in Amazon EKS (e.g., public clusters) and ECS (e.g., privileged access for containers).
  • Config rules in AWS include managed and custom rules for evaluating compliance in real time.
  • Kyverno and OPA Gatekeeper are Kubernetes-native policy engines that enforce policies using code.
  • AWS Config excels in infrastructure-level governance, while Kyverno/OPA are best for workload-level enforcement within Kubernetes.
  • AWS Config and Kubernetes-native engines complement each other, offering comprehensive governance in cloud-native environments.
  • Adopting a DevSecOps approach with AWS Config and Kubernetes-native engines ensures security and compliance at every stage of the delivery pipeline.

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