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Designing a fault-tolerant etcd cluster

etcd is a strongly consistent, distributed key-value pair datastore used in Kubernetes for shared configuration, service discovery, and scheduler coordination.
It was designed by CoreOS engineers in 2013, donated to CNCF in 2018, and has since been adopted in projects like Kubernetes, CoreDNS, and OpenStack.
etcd ensures strong consistency through a global ordering of events and uses the Raft consensus algorithm for high availability without compromising consistency.
Understanding etcd's justification, leader election process, and consensus algorithm is essential for designing fault-tolerant etcd clusters in systems like Kubernetes.

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Dev

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How Liquibase Makes Life Easy for DB Admins

Liquibase is an open-source database change management tool that functions like version control for your database schema across different environments.
Benefits of using Liquibase include eliminating manual scripts, tracking applied changes, supporting CI/CD for automated updates, enabling rollbacks, and providing clear audit trails.
Liquibase works through a changelog where database changes are defined using formats like YAML, XML, JSON, or SQL, grouped into changesets for easy tracking and implementation.
YAML is highlighted as a clean, readable format that pairs well with Liquibase, offering human-readable data structuring for managing database changes.
Real-world example with mux-sql project demonstrates how Liquibase with YAML changelog simplifies managing database schema changes, making deployments smoother and version tracking easier.
CI/CD integration with Liquibase allows automatic deployment of database updates, ensuring that new schema changes are applied seamlessly as part of the deployment process.
Liquibase supports rollback functionality, allowing easy reversal of changes with a simple command if mistakes occur during updates.
Best practices for DB admins using Liquibase include maintaining descriptive ids and authors for changesets, version controlling changelogs, testing changes locally, validating changes before applying them, and modularizing changelogs for scalability.
Using Liquibase reduces complexity, provides a single source of truth, history of changes, facilitates easy rollbacks, and ensures repeatable deployments, making it a valuable tool for managing database changes.
Liquibase can be used without needing Java knowledge, integrates with existing databases, allows multiple developers to work on the same changelog with proper structuring, and provides rollback capabilities for managing erroneous changes.

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Dev

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Linux in Space: How NASA Harnesses Open-Source to Explore the Cosmos

Linux and open-source software are crucial in powering space missions from the International Space Station to Mars, offering flexibility, cost-efficiency, and reliability.
NASA's Mars Ingenuity helicopter, the first powered flight on another planet, ran on a customized Linux kernel and open-source flight software.
Linux dominates critical systems on the International Space Station, including climate monitoring tools, satellites, scientific experiments, and even an AI-based robot assistant for astronauts.
The use of open-source software by NASA provides cost-effectiveness, global collaboration opportunities, and customizable solutions for space missions, with Linux playing a key role in future space exploration endeavors.

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The New Stack

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How To Build a Kubernetes Operator From Scratch

Kubernetes operators automate management of custom resources and stateful applications, enhancing Kubernetes' capabilities.
Creating a Kubernetes operator from scratch is essential for managing modern cloud-native ecosystems efficiently.
The tutorial covers building a 'self-healing diagnostics' operator to improve observability in Kubernetes clusters.
Operators streamline workflows, reduce manual intervention, and facilitate proactive infrastructure management.
The process includes setting up prerequisites, creating a test application, and deploying it to Kubernetes.
Operators define CRDs, implement reconciliation loops, and leverage the Kubernetes client API for automation.
The reconciliation loop continuously ensures the actual state aligns with the desired state in the operator pattern.
Steps involve initializing the operator project, defining CRDs, implementing controllers, and setting up RBAC permissions.
Building a Kubernetes operator involves diagnosing pod crashes, applying remediation actions, and logging event information.
Key takeaways include mastering CRDs, controllers, error handling, RBAC, and creating purpose-built automation in Kubernetes environments.

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Itrevolution

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Vibe Coding Workshop For Leaders (September 2025, ETLS Vegas)

The Vibe Coding Workshop for Leaders, scheduled for September 2025 at the ETLS Vegas, is a collaboration between Gene Kim and Steve Yegge, focusing on building production-grade software with GenAI, Chat, Agents, and more.
The workshop aims to equip leaders with tools to assess the impact of advanced technologies on developer productivity and make informed decisions regarding their adoption.
Vibe coding represents a significant shift in software development, with AI enabling up to 100x speedups in coding tasks, emphasizing vision, and strategy over implementation details.
Participants will experience firsthand how AI-assisted coding can revolutionize productivity, understand strategic implications, manage risks, and develop implementation roadmaps.
The workshop targets technology leaders, individual contributors, and anyone seeking to thrive in the AI era, offering theoretical insights, practical experiences, and essential skills in vibe coding.
Key learning areas include understanding the fundamentals of vibe coding, redefining the developer role, managing risks, and navigating the future landscape of AI development.
Participants will engage in hands-on exercises using GenAI tools, learn effective AI collaboration techniques, and gain insights into essential engineering disciplines and accelerated learning strategies.
Gene Kim and Steve Yegge lead the workshop, drawing on their extensive industry experience and expertise to guide participants through the transformative potential of vibe coding.
Registration for the limited-space workshop at ETLS Vegas is open for technology leaders, engineers, and individuals interested in leveraging AI for software development success.
Gene Kim, known for his work on high-performing technology organizations, and Steve Yegge, with a rich background at Amazon and Google, co-author the upcoming book 'Vibe Coding: How To Build Production-Grade Software With GenAI, Chat, Agents, and Beyond.'
The workshop promises to equip leaders with practical knowledge, strategic insights, and hands-on experience essential for navigating the evolving landscape of AI-powered software development.

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Dev

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AI Coding Agents: The Building Blocks of Tomorrow's Software Development Lifecycle

In the realm of software development, AI coding agents are revolutionizing how we conceive, build, and maintain software, promising to transform the Software Development Lifecycle.
AI coding agents offer a unique blend of generalizability and customizability, handling various development tasks within a flexible architecture that adapts to specific business needs.
This technology addresses the labor-intensive and fragmented nature of traditional development processes by automating tasks, streamlining development, and making context-sharing seamless.
Recent breakthroughs in models like Claude 3.7 Sonnet and Gemini Pro 2.5 have enabled advanced automation capabilities, but challenges around monitoring and control arise as companies adopt this paradigm.
Integrating AI coding agents into the SDLC leads to substantial benefits in code quality, speed, and cost reduction, empowering leaner teams to deliver better software more efficiently.
Human developers are set to become orchestrators of SDLC automation, balancing AI efficiency with costs and fine-tuning models for optimal performance.
The adoption timeline suggests that AI-powered SDLC will likely become a best practice within leading teams in the next few years.
Companies like qckfx are focusing on building infrastructure for SDLC automation, providing tools and frameworks for tasks such as bug-fixing, with a modular and open-source approach.
By embracing AI coding agents, development teams stand to achieve unprecedented levels of efficiency, quality, and innovation in software creation.
The readiness of organizations to adapt and implement monitoring and optimization systems will determine how effectively they can leverage the full potential of AI coding agents.

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Accelerate development workflows to reduce release cycles using the Amazon Q Developer integration for GitHub (Preview)

Amazon Q Developer integration for GitHub (Preview) enables automatic execution of coding tasks to reduce development cycles, available for free without requiring an AWS account.
Amazon Q Developer accelerates feature development in GitHub.com and GitHub Enterprise Cloud by leveraging premium models at no extra cost.
It automates implementing new features, bug fixes, test coverage increase, documentation generation, code reviews on new pull requests, and modernizing Java applications using GitHub's native features.
Development teams face challenges managing multiple tools, impacting developer velocity; Amazon Q Developer in GitHub aims to streamline workflows and boost innovation.
Admins can deploy Amazon Q Developer through GitHub Marketplace, allowing developers to start using it without setting up an AWS account.
Developers can engage Amazon Q Developer by adding specific labels to GitHub issues, using AI assistance to refine generated code through natural language comments on pull requests.
Amazon Q Developer simplifies feature development and bug fixes by generating production-ready code from natural language descriptions, following project patterns and best practices.
It helps modernize applications by upgrading Java versions intelligently, reducing time and risks associated with major version upgrades.
Amazon Q Developer streamlines code review processes by providing automated analysis for quality issues, bugs, security vulnerabilities, and sensitive information.
Uninstalling Amazon Q Developer is straightforward and the preview release aims to enhance enterprise software development by improving code quality and reducing technical debt.

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Kubernetes

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Kubernetes v1.33: Fine-grained SupplementalGroups Control Graduates to Beta

The supplementalGroupsPolicy field, introduced as an alpha feature in Kubernetes v1.31, has graduated to beta in v1.33, enhancing control over supplemental groups in containers.
The feature enables more precise control over groups, improving security, especially when accessing volumes, and enhancing UID/GID transparency.
Beta release contains behavioral changes; refer to 'The Behavioral Changes Introduced In Beta' and 'Upgrade Considerations' sections for details.
By default, Kubernetes merges group information from the Pod with information defined in /etc/group in the container image.
Group membership defined in /etc/group in the container image is implicitly merged with the Pod's information, posing security risks.
The introduction of supplementalGroupsPolicy field in Pod's securityContext enables fine-grained control over group memberships in container processes.
The available policies are Merge and Strict, where Strict excludes group IDs not specified in fsGroup, supplementalGroups, or runAsGroup.
Strict policy ensures that only specified group IDs are attached as supplementary groups to container processes, preventing implicit group memberships.
CRI runtimes like containerd v2.0+ and CRI-O v1.31+ support the Strict policy; you can check for feature support in the Node's status.
In v1.33 beta, kubelet rejects pods on nodes without the feature support, signaling warning events; upgrade considerations are provided for cluster readiness.

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Dev

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The Spirit of Plan 9 on the Web

The Wanix project, inspired by the Unix philosophy and webhooks, is incorporating ideas from the little known operating system, Plan 9 from Bell Labs.
The newest release of Wanix is designed with a Plan 9-like architecture, focused on simplicity, pragmatism, and compositionality.
Key features of this Wanix release include a Plan 9 inspired design, single executable toolchain, filesystem as the only API, built-in Linux shell, tasks and namespaces, core file services, and web file services.
The feedback on the Wanix preview release has been positive, with plans for further development and integration within the larger Tractor project.

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Hashicorp

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Terraform AWS provider tops 4 billion downloads, 6.0 now in public beta

Terraform AWS provider version 6.0 is now in public beta, bringing enhanced multi-region support and workflow improvements.
The provider has surpassed 4 billion downloads, indicating its popularity and continued expansion.
Enhanced region support in version 6.0 allows for multiple regions within a single configuration file, simplifying configuration efforts and reducing memory usage.
Users can opt in to the beta version by specifying the pre-release version in their provider requirements and consult the upgrade guide for a smooth transition to version 6.0.

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Dev

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Documenting AWS Projects on Github..

DevOps enthusiast has begun documenting an AWS project as part of their learning journey and invites community engagement.
The project involves practicing core AWS services like EC2, S3, IAM, and CloudFormation, implementing security best practices, and using Infrastructure as Code (IaC) for automation.
Detailed documentation includes commands used, configurations, and insights gained to benefit beginners in AWS and DevOps.
The project can be viewed on GitHub at https://github.com/amandeol063. Collaboration opportunities and feedback are encouraged for further enhancements.

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Dev

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What is ClickOps?

ClickOps refers to the practice of making manual changes directly in a cloud provider's user interface by cloud infrastructure engineers, instead of using infrastructure-as-code tools.
ClickOps is often used in scenarios where team members lack experience with automation tools, face high-pressure incidents, or deal with changes during transitions like mergers.
Examples of ClickOps include making infrastructure changes in the AWS Management Console, editing security groups manually in the cloud UI, and provisioning resources without infrastructure-as-code tools like Terraform.
In distributed cloud environments, the risks associated with untracked manual changes through ClickOps are significant and can lead to potential challenges.

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The New Stack

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VMware’s Kubernetes Evolution: Quashing Complexity

Kubernetes adoption continues to be a challenge for many engineering organizations, with 46% facing complexity issues despite 84% evaluating or deploying Kubernetes in production.
VMware is addressing Kubernetes complexity through their VMware Cloud Foundation (VCF) platform, providing a complete Kubernetes environment with pre-configured components like networking, storage, and Istio.
Despite concerns about added complexity, VMware's VCF platform has shown high performance metrics, allowing virtualized container-based AI applications to run at 98.3% of bare metal performance with benefits like dynamic application movement across clusters.
VMware is focused on simplifying Kubernetes management, addressing GPU utilization challenges in private AI environments, and maintaining a strong commitment to open source contributions.

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TestingXperts

Tx-DevSecOps – Bridging the Gap Between Security and Speed in DevOps

In the software application industry, protecting sensitive data against cyber threats is crucial, with the rising number of security threats reshaping business operations.
DevSecOps integrates security controls throughout the Software Development Life Cycle (SDLC) to bridge the gap in traditional DevOps practices.
Tx-DevSecOps accelerates security integration in development and testing through a high-speed, shift-left approach.
It helps organizations identify vulnerabilities early, reducing the risk of data breaches and reputational damage.
Tx-DevSecOps seamlessly integrates security throughout the SDLC, using automation tools for early vulnerability detection and compliance.
Key features include tool-agnostic integration, automated security checks, compliance management, and end-to-end vulnerability management.
Implementing Tx-DevSecOps leads to accelerated DevSecOps adoption, faster releases, enhanced productivity, improved code quality and security, and minimized manual effort.
It also enables continuous monitoring, early involvement of security experts, a culture of shared responsibility, and policy and compliance agility.
Tx-DevSecOps is a security automation accelerator that enhances productivity, accelerates release cycles, and minimizes manual effort while maintaining a strong security posture and regulatory compliance.

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Dev

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Hair Loss Isn’t Just Physical — Here’s How a Hair Transplant Can Heal You Inside Out

Hair loss affects millions of people worldwide, impacting not just physical appearance but also emotional well-being.
At Dr. Gosavi's Hair Clinic, led by Dr. Mahesh Gosavi, a hair transplant is seen as a journey toward regaining confidence, happiness, and peace of mind.
Hair loss can lead to anxiety, stress, and changes in self-expression, as it is closely tied to identity and personal style.
A successful hair transplant not only improves appearance but also helps in regaining confidence, reducing stress, and reconnecting with one's true self.

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