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From EC2 to EKS: How Application Deployment Has Evolved on AWS

Managing application deployments on AWS has evolved from using EC2 to EKS (Elastic Kubernetes Service).
In the scenario of deploying a website starting with a single EC2 instance and later managing multiple EC2 instances manually for different parts of the application, the process becomes cumbersome and inefficient.
Transitioning to EKS involves launching a Kubernetes cluster that automates the management of resources on EC2 instances, treating the infrastructure as a unified entity.
EKS with Kubernetes simplifies deployment by packaging services as Docker containers, allowing Kubernetes to efficiently allocate resources, handle failures, and enable automatic scaling.

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Dev

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How to Remove Productivity Blockers in Dev Teams

Developer productivity is crucial for software teams, requiring a focus on minimizing friction and distractions.
Productivity blockers in dev teams include slow build cycles, unclear environments, excessive meetings, delayed feedback, and complex codebases.
Eliminating workflow bottlenecks involves automation, standardizing processes, prioritizing feedback loops, and holding regular retrospectives.
Reducing meeting overload is essential, achieved by auditing meetings, shortening durations, enforcing meeting-free days, and using asynchronous updates.
Embracing asynchronous communication helps maintain developers' focus by allowing responses on their schedule.
Tools like CI/CD pipelines, containerized dev environments, project management platforms, and async communication tools aid in productivity.
Methodologies such as Kanban, Agile Retrospectives, and Code Review Rotations can enhance team workflows.
Preventing future blockers involves continuous feedback, regular training, proactive environment management, and celebrating process improvements.
Removing productivity blockers is an iterative process that involves monitoring, refining workflows, and providing a conducive environment for developers.
By implementing strategies to remove blockers, teams can enhance collaboration, focus, and software delivery.
Tools like Teamcamp can further boost team productivity by streamlining project management processes.

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Dev

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Platform Engineering: The Next Evolution of DevOps Teams

Platform Engineering is the next evolution in software infrastructure management, surpassing traditional DevOps practices.
Platform Engineering focuses on building internal platforms to simplify the software development lifecycle, allowing developers to concentrate on delivering features.
It is necessary because DevOps alone does not address the complexity and inefficiencies in cloud setups and tool sprawl.
A Platform Engineering team typically manages Infrastructure as Code, CI/CD pipelines, developer self-service portals, observability, and pre-configured Kubernetes clusters.

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Dev

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🧒🐧 Linux for Kids: From Terminal Tetris to Bash Scripting – A Parent–Child Adventure

A parent-child adventure with Linux, starting with Bastard Tetris on the command line.
By playing games like Bastard Tetris, kids learn to use commands, understand apt install, and realize the potential of the terminal.
Moving beyond gaming, kids can delve into Bash scripting by creating fun commands like ASCII art and messages.
Through this journey, kids develop logic, creativity, and coding skills while exploring the Linux terminal as a playground for learning.

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Dev

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Exploring kubectl-ai: Your AI-Powered Kubernetes Assistant

kubectl-ai is an AI-powered Kubernetes assistant developed by GoogleCloudPlatform, simplifying cluster operations and troubleshooting with natural language inputs.
It acts as an intelligent interface between users and Kubernetes clusters, supporting various AI models like Gemini, Grok, OpenAI, Azure OpenAI, and local models.
Features include natural language interaction, support for multiple AI providers, interactive and non-interactive modes, Unix pipelines integration, kubectl plugin support, and special commands.
k8s-bench is a benchmarking tool in kubectl-ai to evaluate AI models on Kubernetes tasks, helping users choose the most reliable model.
Installation of kubectl-ai requires kubectl access to Kubernetes clusters and setting API keys for chosen AI providers like Gemini, Grok, or OpenAI.
The tool simplifies tasks like listing pods, creating deployments, and troubleshooting in Kubernetes using natural language queries.
kubectl-ai stands out for bridging complex Kubernetes commands with user-friendly interaction, catering to beginners and experts alike.
Community contributions are welcome for kubectl-ai, although it is not an officially supported Google product.
Overall, kubectl-ai offers AI intelligence, diverse AI model support, and seamless integration with existing workflows for Kubernetes management.
It streamlines tasks like scaling deployments, troubleshooting errors, and exploring cluster status through a conversational interface.

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Hackernoon

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My First Steps With Crossplane: Crossplane 101

In the early days of IT, manual server configuration was common, but became unscalable as infrastructures grew.
Infrastructure-as-Code emerged to define machine states in text files, with tools like Chef, Puppet, and later Terraform.
Terraform, a popular IaC tool, faced limitations like descriptive language constraints and lack of a central registry for automated drift correction.
Introducing Crossplane, which leverages Kubernetes to address Terraform's shortcomings, allowing management of resources through a reconciling engine.
Crossplane acts like an engine, managing various resources such as cloud services, Terraform, and more through configuration packages and providers.
To start using Crossplane, one needs to install it using Helm and then set up providers like the GCP provider for managing resources like GKE clusters.
Google authentication for Crossplane involves creating a secret for Service Account credentials and configuring Provider and ProviderConfig objects for project management.
Creating a GKE cluster using Crossplane involves defining cluster specifications, referencing ProviderConfig, and writing connection secrets.
You can monitor the GKE cluster creation progress using kubectl, access the cluster using the generated kubeconfig, and delete it by deleting the corresponding Cluster object.
Crossplane's approach of using Kubernetes for resource management is highlighted in this article as a powerful tool with potential for further integrations and capabilities.

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Dev

119

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10 Cheap Ways to Deploy Docker Containers in 2025

In 2025, deploying Docker containers has become more accessible, affordable, and AI-assisted, eliminating the need for a DevOps team.
Ten cheap ways to deploy Docker containers include tools like Defang, Fly.io, Railway, Render, Sliplane, Dokku, CapRover, AWS ECS, Google Cloud Run, and Azure Container Instances.
These tools offer features such as AI-powered CLI, global micro-VMs for low latency, full-stack app deployment, autoscaling, self-hosted platforms, and managed container services.
Developers can choose from a variety of options based on their needs, ranging from ease of use with Railway and Render to more control with Dokku and CapRover.

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Dev

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Ultimate Guide to Container Runtimes: From Docker to RunC and Beyond

Container runtimes are crucial for cloud-native technologies, handling container execution processes.
Understanding container runtimes helps troubleshoot performance, enhance security, and customize resource allocations.
High-level runtimes like Docker provide abstraction and convenience for container management tasks.
Docker offers CLI tools, image management, networking options, and integrations with tools like Docker Compose.
ContainerD, a production-ready runtime, focuses on core container execution and image management.
Low-level runtimes like RunC interact directly with kernel features for launching containers.
RunC provides fine-grained control over container lifecycles and is scriptable for CI/CD processes.
CRI-O is a Kubernetes-native runtime aligning with Kubernetes releases and ensuring minimal dependencies.
Understanding Linux kernel features like namespaces and cgroups is essential for container isolation and resource management.
Container runtimes work in coordination, with high-level runtimes delegating tasks to low-level runtimes and the Linux kernel.

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Dev

158

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Green Padlock, Zero Headache: Let’s Encrypt SSL for Self-Hosted Dify

The guide explains how to set up Let’s Encrypt SSL for self-hosted Dify to ensure end-to-end encryption and browser trust.
Prerequisites include having a domain, open ports 80 & 443, Docker v24, Compose v2, and the Dify repository.
Steps involve patching the .env file, pruning stray Docker networks, launching the stack with the Certbot profile, running Certbot inside its container, and enabling HTTPS.
Verification involves recreating Nginx, checking for the green padlock, and renewing certificates manually or using Certbot's built-in cron.

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Silicon

168

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Apple Appeals For Pause In Epic Game Ruling

Apple appeals for a pause in the ruling by a US judge that required the tech giant to comply with a 2021 court order related to the Epic Games case, which aimed at allowing greater competition for app downloads and payment methods in the App Store.
The judge found Apple in wilful violation of the 2021 injunction and accused Apple's VP of Finance of lying under oath, leading to a referral for potential criminal contempt proceedings against both the executive and the company.
The ruling is part of the legal battle between Apple and Epic Games, where Apple was ordered to make changes in the App Store to allow developers to offer alternative payment systems, following accusations of anticompetitive behavior by Apple.
Apple is seeking a stay on the provisions in the ruling that restrict its control over aspects of its business operations, claiming that these restrictions will cause substantial financial harm and hinder its ability to protect the integrity of its platform.

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Dev

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Terraform in DevOps – IaC, Workflow & Benefits

Terraform is an essential tool in DevOps for managing and automating infrastructure provisioning through code.
It supports various cloud platforms and on-premises data centers through plugins called providers, enabling automated infrastructure provisioning.
Key features of Terraform include multi-cloud provisioning, remote state management, reusability through modules, drift detection, and dependency management.
Terraform integrates with CI/CD pipelines, streamlining development workflows and ensuring infrastructure consistency and repeatability.
In a DevOps workflow, Terraform uses its engine to interact with providers like AWS, Azure, and Google Cloud to create, update, or destroy resources.
The Terraform workflow involves defining infrastructure in configuration files, initializing, planning, applying changes, and destroying resources when needed.
Terraform is widely used in DevOps for automating infrastructure provisioning, ensuring consistent deployments, multicloud support, and version-controlled management.
Specific use cases for Terraform in DevOps include cloud infrastructure provisioning, containerized applications, serverless resources, and network infrastructure automation.
Challenges in implementing Terraform in a DevOps setting include state management complexity, learning curve, security concerns, and potential overcomplexity for simple deployments.
Key best practices for successful Terraform implementation in DevOps include remote state storage, version control for IaC, using terraform import for existing resources, planning before applying changes, and following a modular code structure.
Terraform is a powerful IaC tool that can be used in conjunction with CI/CD tools like Spacelift to manage and automate infrastructure deployments securely.

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Alvinashcraft

177

Dew Drop – May 8, 2025 (#4415)

Several articles related to .NET development, Azure, and AI are featured in the Dew Drop newsletter for May 8, 2025.
Topics covered include responsive dashboard application in Angular, Blazor AI chat application, WinUI, .NET MAUI, XAML popups, and chart selection guide in .NET MAUI.
There are articles on generating ZUGFeRD-compliant invoices in .NET, Service Pack releases in TX Text Control, and building a startup in C#.
AI-related articles discuss model distillation, Figma's AI update, Azure OpenAI models, chat completions in Azure Logic Apps, and AI risks.
Design and methodology topics cover legacy system modernization, productivity habits, and intelligibility measurement for content.
Mobile, IoT, and game development articles focus on Android camera experiences, Flutter app publishing, and Raspberry Pi OS.
Database-related topics include SQL Server temporal tables, database caching, Azure Cosmos DB updates, and Azure Storage usage.
SharePoint, M365, and MS Teams articles cover AI updates in SharePoint, OneDrive enhancements, Office Add-in accessibility, and OneNote improvements.
Miscellaneous articles touch on energy-saving programs, CDC committee shutdown, logging in Rust, Microsoft's environmental initiatives, and quantum technology leadership.
The newsletter also includes links to podcasts, screencasts, upcoming events, and more curated content for readers in the tech community.

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Dev

439

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Getting my feet wet with Crossplane

Infrastructure-as-Code (IaC) tools like Chef, Puppet, and Terraform led to automating server configuration and managing infrastructure through code.
Terraform, with its Terraform language, managed existing machine states but lacked a central registry, leading to its limitation.
Pulumi, an alternative, allows describing infrastructure in existing programming languages, offering more flexibility.
The Cloud's evolution highlighted the need for tools like Kubernetes for automated drift correction, paving the way for Crossplane.
Crossplane leverages Kubernetes to manage various resources like cloud services, GitHub projects, and software stacks.
Crossplane's extensibility through packages allows defining higher-level abstractions and integrating with third-party systems.
The installation process for Crossplane involves setting up providers like GCP, creating necessary secrets, and managing resources.
Google Cloud Platform (GCP) integration with Crossplane involves creating Provider objects, credentials, and configurations.
Creating GKE clusters using Crossplane involves specifying cluster configurations, writing connection secrets, and monitoring cluster creation.
The ability to manage GKE clusters and resources efficiently through Crossplane showcases its potential for automating infrastructure tasks.

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Javacodegeeks

355

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Using Java Flight Recorder (JFR) in Quarkus

Java Flight Recorder (JFR) is a profiling and diagnostics tool integrated into the JVM, now being used with cloud-native frameworks like Quarkus for monitoring and profiling Java applications.
To setup JFR in Quarkus, add appropriate dependencies to your Maven project, ensure Java 11 or higher, and configure JVM parameters accordingly.
Save JFR events by running the Quarkus app with recording options enabled, and open the .jfr file using JDK Mission Control for analysis.
Custom events can be defined and emitted in a Quarkus application to capture specific behaviors, enhancing monitoring and profiling capabilities.

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Dev

315

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🛠️ AWS Systems Manager Now Supports Custom Onboarding Configuration

AWS Systems Manager now supports custom configuration during on-boarding for managing EC2 instances, providing flexibility in connecting to Systems Manager and updating agents.
New features include enabling/disabling default EC2 permissions, setting inventory collection frequency, controlling SSM Agent update frequency, and using customized IAM policies.
Previously, manual steps were required for IAM roles, default inventory schedules, and agent updates, but now it can all be centralized and streamlined with less manual effort.
Integration with IaC tools like Terraform, CloudFormation, and AWS CDK allows for easier alignment of Systems Manager with CI/CD pipelines and improved security measures.

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