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Is Kubernetes Still the Future of Container Orchestration?

Kubernetes has been the dominant force in container orchestration, but its future is being questioned.
Some challenges of Kubernetes include complexity, operational overhead, and cost considerations.
Alternatives like Google Cloud Run and AWS Fargate are gaining ground.
The future of Kubernetes might involve addressing complexity, exploring managed services, or emerging technologies.

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The New Stack

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Meet Kagent, Open Source Framework for AI Agents in Kubernetes

Solo.io introduces kagent, an open source framework designed for building and running AI agents in Kubernetes to streamline workflows.
Kagent caters to DevOps and platform engineers by offering tools, resources, and AI agents for automating tasks like configuration, troubleshooting, observability, and network security.
It integrates with other cloud native tools through the Model Context Protocol (MCP), aiming to standardize AI model integration with APIs.
Based on Microsoft's AutoGen framework, kagent is open source with an Apache 2.0 license.
Initially an internal solution, kagent arose from a customer issue where Solo.io's expertise in Istio and Envoy was leveraged to resolve network problems for an insurance company.
Solo.io plans to contribute kagent to the Cloud Native Computing Foundation (CNCF) after donating Gloo Gateway in November.
Kagent's launch includes tools for Argo, Helm, Istio, Kubernetes, Grafana, Prometheus, and a cloud native expert knowledge base.
The framework comprises three layers: tools, agents for autonomous tasks like canary deployments and security policies, and a declarative API for building and running agents.
Solo.io envisions kagent as a community-driven project with scalability through additional agents contributed by the ecosystem.
Future plans for kagent include tracing capabilities, metrics expansion, multi-agent support, and broadening support for large language models.

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Dev

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🚀 How I Merged Multiple Kubernetes Clusters with Zero Downtime

Merging multiple Kubernetes clusters can reduce costs, simplify security, and cut DevOps headaches.
Before merging, it is important to map your microservices and move dependent services together to prevent unexpected failures.
Unified monitoring and logging can be achieved by moving monitoring tools into a single cluster.
To improve traffic routing, unify the load balancers and have separate gateways for external and internal requests.
To strengthen security, implement firewall rules, JWT-based authentication, and NetworkPolicies to control access and communication.

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Solarwinds

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Opportunities and Obstacles in Building Operational Resilience

The ability to prioritize effectively is becoming more of a challenge in maintaining operational resilience.
Unified observability remains elusive for many organizations, creating a visibility gap.
Integration with ITSM and incident response is key for achieving operational resilience.
AI-driven automation and insights are crucial in transforming raw data into actionable insights.

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Medium

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How Kustomize Saved Deploy Day

Kustomize, a tool built into Kubernetes, helped Alex handle different settings for different environments during a hectic deploy day at CloudSpeed.
Alex, the newest DevOps engineer, had to deploy the app to development, staging, and production environments with different settings on the same day.
Using Kustomize, Alex was able to create overlays for each environment, making it easy to manage and apply the necessary configuration changes.
Kustomize saved the day for CloudSpeed by allowing seamless deploy to the required environments and ensuring a successful CEO demo in just four hours.

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Dev

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Building Single Executable Applications with Node.js

PKG, a tool used to package Node.js applications into standalone executables, faced challenges with Node.js v22 migration as it had not caught up with the latest runtime.
Node.js Single Executable Applications (SEA) emerged as a native feature offering complete self-containment, environment independence, protected configurations, and deployment simplicity.
SEA fundamentally changes how Node.js applications are packaged and distributed, making them more reliable, secure, and easier to deploy.
SEA creates an in-memory filesystem preserving directory structures, file permissions, and original file paths, simplifying the generation of standalone executables.
SEA's technical foundation involves a small piece of C++ code in the Node.js source, using a SeaResource structure for critical design decisions and configuration.
Practical implementation of SEA involves building applications with Fastify and ESBuild, integrating Docker for optimized container sizes, and exploring code protection and performance benchmarks.
SEA's code cache feature significantly improves startup time and agility, with slight size increase, while its protection against code extraction is limited.
For sensitive code, a multi-layered protection approach is recommended, combining SEA with Bytenode, secure server storage for sensitive algorithms, and legal protections.
Node.js SEA offers improved deployment reliability, security, reduced dependencies, and optimized resource usage for simplified application distribution.
Practical next steps include experimenting with example applications, evaluating SEA for specific use cases, integrating it into CI/CD pipelines, and engaging with the Node.js SEA community.

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Dev

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What Is Zero-Knowledge Storage? (And Why Your App Needs It)

Zero-knowledge cloud storage ensures that only the user, not even the service provider, can access the data, eliminating third-party access risks.
Encryption in zero-knowledge storage is done locally on the user's device before being uploaded, ensuring the cloud provider never sees the raw data.
Unlike traditional cloud providers that retain decryption keys, zero-knowledge storage prevents access to data by anyone other than the user.
Zero-knowledge storage is crucial for applications handling sensitive information and GDPR-compliant storage needs.
Traditional cloud services like Google Drive and Dropbox use server-side encryption, potentially allowing provider access to data.
Zero-knowledge encryption eliminates risks of data breaches and unauthorized access, ensuring data privacy and security.
Zero-knowledge storage aligns with GDPR principles like data ownership, encryption, and the right to be forgotten.
In healthcare, zero-knowledge storage aids HIPAA compliance through end-to-end encryption and access control mechanisms.
Zero-knowledge storage offers full user control over encryption keys, protecting against data breaches and insider threats.
ByteHide Storage provides true zero-knowledge encryption, ensuring GDPR compliance and user data privacy.

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Dev

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Find the superset from the relationship table:SQL VS SPL#13

The MySQL database has two tables: bag table and bag item relationship table.
The query is used to find the superset for each bag using SQL.
The SQL query involves two layers of loop traversal and requires three layers of nesting combined with JOIN and EXISTS.
In contrast, SPL can easily implement the superset finding using two-layer loops combined with intuitive set operations.

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Dev

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Life With a Hackathon: Where Sleep is a Myth and Debugging is a Personality Trait

Hackathons are tests of skill and patience, where sleep deprivation and debugging become the norm.
Survival guide steps: assemble a balanced team, choose a feasible idea, use AI as a tool, embrace the debugging process, stay hydrated during the 3 AM hallucination phase, present your project confidently despite its flaws, and recover after the hackathon.
The guide emphasizes the need for a well-balanced team and suggests picking ideas that are achievable within the given timeframe.
It also advises against relying too heavily on AI, acknowledging its magic but cautioning against using it as a brain replacement.

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Itrevolution

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Becoming a Better Leader Part 3: Enabling Flow and Removing Obstacles

Leaders play a crucial role in enabling teams to deliver value efficiently by optimizing flow and removing obstacles within the system.
Challenges in organizations like disconnected silos and bureaucratic processes hinder flow and require a focus on improving the system of work.
Balancing enabling bureaucracy with blocking bureaucracy is essential for facilitating flow without unnecessary impediments.
Key metrics such as Flow Time, Flow Velocity, Flow Efficiency, Flow Distribution, and Flow Load help identify bottlenecks and delays in the process.
Creating clarity in goals, priorities, constraints, and decision rights is vital to prevent confusion and enhance team productivity.
Systematically eliminating obstacles involves streamlining processes, improving communication, providing training, and adopting automation.
An emphasis on adaptive bureaucracy encourages continuous evolution of processes based on feedback and learning.
Small incremental changes can lead to significant improvements, as seen in the example of American Airlines' AA.com team.
Leaders should promote a learning culture, encourage experimentation, reflection, and knowledge sharing for continuous improvement.
Measuring flow metrics, identifying constraints, and fostering a problem-solving environment are critical steps for leaders to enable effective value delivery.

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Dev

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From Containers to Clusters: Deploying Cipher Horizon in Production

Deploying a microservices architecture like Cipher Horizon requires a well-thought-out strategy for containerization, orchestration, and automation.
Key requirements for deployment include scalability, reliability, and maintainability.
The containerization strategy involves using Docker and implementing a multi-stage build strategy to create efficient, secure, and maintainable container images.
The Kubernetes deployment strategy focuses on reliability and scalability, with resource management and automation strategies implemented.

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Dev

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How to fix Prometheus "open /prometheus/queries.active: permission denied" on Kubernetes: step-by-step

The article discusses resolving the "open /prometheus/queries.active: permission denied" error encountered while setting up Prometheus on a k3s cluster using a Helm chart with a local volume.
The issue stemmed from Prometheus not having the necessary permissions to create files within the /prometheus directory in the container, possibly due to user UID mismatches.
The user account in Prometheus' Dockerfile was set to nobody, leading to ownership discrepancies with the directory on the host machine.
The solution involved changing the directory owner on the host machine to nobody, aligning it with the user inside the container, thus resolving the permission denied error.
Key takeaways include ensuring directory ownership matches the container user and permissions in local-path storage class deployments in Kubernetes.
Best practices from Linux administration can be applied in Kubernetes, emphasizing the importance of aligning host machine configurations with bind mounts.
The troubleshooting process was codified into an Ansible playbook to automate directory ownership adjustments during Prometheus Helm chart deployment.
In summary, the error was caused by user ownership disparities between the PersistentVolume directory and the container user, which was fixed by adjusting the directory owner on the host machine to match the container user.
To fix the issue, users can change the directory permissions on the host machine to match the user inside the container and delete and recreate the failing pod if needed.

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Dev

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How to Balance Deep Work and Collaboration as a Developer

Deep work, uninterrupted, highly focused time, is essential for writing high-quality code.
Collaboration, including meetings, code reviews, and brainstorming, is equally vital for successful software projects.
Common mistakes that hurt productivity include over-scheduling meetings, always being available, lack of clear boundaries, and poorly managed task priorities.
Practical strategies to balance deep work and collaboration include time blocking, async communication, meeting optimization, collaboration hours, and leveraging project management tools.

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Lambdatest

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23 DevOps Best Practices You Should Know [2025]

DevOps is crucial for closing the gap between development and IT operations, emphasizing teamwork, automation, and shared accountability.
DevOps achieves its objectives through automated deployment, monitoring, and Agile methodologies.
DevOps offers benefits like faster software delivery, improved collaboration, increased automation, enhanced security, and better scalability.
Key DevOps best practices include IaC, CI/CD, shift-left testing, containerization, Kubernetes orchestration, and extensive monitoring and logging.
Other practices encompass embracing microservices architecture, using configuration management tools, integrating security practices, and practicing automated testing.
DevOps also involves leveraging cloud services, adopting blue-green deployments, feature toggles, chaos engineering, and immutable infrastructure.
Furthermore, ensuring proper documentation, optimizing performance, adopting GitOps, enabling self-service infrastructure, and using secrets management tools are vital.
Promoting collaboration, continuous improvement, and investing in training are crucial aspects of successful DevOps implementation.
DevOps best practices aid in enhancing collaboration, process streamlining, and operational resilience, enabling organizations to deliver high-quality software efficiently.
Continuous learning, collaboration, and automation are key elements of successful DevOps transformations.

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Dev

425

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Mastering Azure: Core Architectural Components Explained

Azure's architecture is designed to offer flexibility, scalability, security, and high availability.
Eight core architectural components of Azure include compute, storage, networking, identity, monitoring, security and compliance, and databases.
Azure regions and availability zones provide high availability, fault tolerance, and redundancy.
Azure offers various compute options like virtual machines, app service, Kubernetes service, and functions.

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