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How to Create a Virtual Machine on Azure

A virtual machine (VM) is a software-defined computer that runs on top of a physical server.
To create a virtual machine on Azure:
1. Login to the Azure Portal.
2. Search for 'virtual machine' in the resource services and documentation field.

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Dev

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🚀 Introducing CEIE 1.0 & 2.0: The Next Evolution in Project Versioning and Automation!

CEIE 1.0 & 2.0 is a project designed to automate and simplify version management and CI/CD pipelines.
CEIE 1.0 provides a Custom Versioning Model for automated version increments, while CEIE 2.0 offers a robust npm package for ultimate automation.
Key features include automated versioning based on commit history, seamless integration with GitHub Actions, and customizable automation processes.
CEIE is available for free for students with a college ID verification.

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Medium

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Deploying AKS Control Plane Alert Rules with Bicep Language.

AKS control plane alert rules with Bicep Language have been deployed.
New platform metrics are now available for AKS clusters, including API server and ETCD usage.
The code for this solution is available on GitHub for contribution.
The AKS control plane alert rules can be verified using the Azure Portal.

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Siliconangle

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Alphabet reportedly nears $30B acquisition of Israeli cloud security firm Wiz

Alphabet Inc. is reportedly in advanced talks to acquire Israeli cloud security firm Wiz Inc. for around $30 billion.
Wiz was founded in 2020 and offers a software platform designed to help companies detect vulnerabilities and malicious activity in their cloud setup.
The $30 billion acquisition, if completed, would be Alphabet's and Google's largest acquisition, surpassing their previous largest acquisition of Motorola Mobility for $12.5 billion in 2011.
Prior to these discussions, Wiz has raised $1.9 billion in funding and has made several acquisitions to drive its rapid growth.

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Itrevolution

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Resurrecting My Trello Management Tool and Data Pipeline with Claude Code using Vibe Coding

The author faced a challenge of reviving a tool essential for his book deadline and a data pipeline after years of neglect due to API changes and integration deprecation.
Using Claude Code, the author revived the critical tool, fixed long-standing bugs, and created a new Twitter data pipeline within a couple of days.
Steve Yegge also began using Claude Code and found it highly effective in resolving long-standing bugs in his codebase.
The author shares a detailed account of his experience with Claude Code, highlighting the interactive and efficient nature of the tool.
Claude Code operated as a coding assistant in the terminal, providing live feedback and assistance in identifying and fixing coding issues.
The author leveraged Claude Code to address bugs in the Trello card management app, making it easier to manage tasks and card movements.
With Claude Code's help, the author identified and rectified key issues in the app's architecture for long-term stability and maintainability.
The author discusses the nuances of 'vibe coding,' emphasizing the active engagement and problem-solving approach used with AI tools like Claude Code.
The narrative delves into Claude Code's capabilities, from fixing specific code issues to offering recommendations for improving code quality and testability.
The author shares insights on varying levels of delegation when working with AI tools like Claude Code, stressing the importance of active pairing for complex tasks.

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Medium

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AWS IAM Users, Roles, and Policies: A Guide with Best Practices

AWS IAM is crucial for managing access to AWS services and resources securely.
IAM users represent individuals with credentials to interact with AWS, while IAM roles provide secure access without long-term credentials.
IAM policies are JSON documents that define permissions for IAM identities.
Implementing least privilege, using roles, auditing policies, and utilizing AWS tools like Access Analyzer and CloudTrail can help reduce security risks.

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The New Stack

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How We Built a LangGraph Agent To Prioritize GitOps Vulns

In Kubernetes environments, managing vulnerabilities can be overwhelming; HAIstings, an AI-powered prioritizer using LangGraph and LangChain, was developed by Stacklok.
HAIstings helps prioritize vulnerabilities based on severity, infrastructure context, user insights, and evolving understanding through conversation.
Main components include k8sreport, repo_ingest, vector_db, and memory to gather data, provide context, store files, and maintain conversation history.
HAIstings uses LangGraph for conversation flow, retrieving data, creating reports, gathering context, and refining assessments based on new information.
A retrieval-augmented generation (RAG) approach efficiently retrieves relevant files from GitOps repositories for each vulnerable component.
CodeGate enhances security by redacting secrets and PII, controlling model access, and maintaining a traceable history of interactions with AI models.
Configuring HAIstings with CodeGate involves updating the LangChain configuration to work seamlessly with the security controls provided.
The combined system provides context-aware vulnerability prioritization while ensuring strict security measures are in place.
HAIstings can generate security reports highlighting critical vulnerabilities, providing tailored recommendations for prompt attention.
Performance considerations emphasize the trade-off between latency and security benefits when utilizing LLMs for vulnerability prioritization.

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Dev

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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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