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New Insights Into AI and Observability in Public Sector IT

Reports reveal that security threats from careless or untrained insiders are a major concern in the public sector.
Budget constraints hinder IT security and completion of digital transformation in both the UK and US public sectors.
A significant portion of UK and US organizations are leveraging artificial intelligence for IT operations and observability.
Talent gaps and data privacy/security concerns are slowing down digital transformation in the UK and US, respectively.

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Hackernoon

201

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GitHub Actions Meets Kubernetes: How to Test PRs on GKE Without Losing Your Mind

The article discusses how to test PRs on Google Kubernetes Engine (GKE). It highlights the steps involved in setting up the test environment and executing end-to-end tests.
The process includes creating a GKE instance, building Docker images, configuring PostgreSQL using Helm, applying app manifests, and running tests.
Challenges like image tagging, accessing private Docker registries, and setting up PostgreSQL configurations are addressed within the workflow.
Authentication on Google Cloud, using GitHub Actions, and managing workload identity pools are crucial parts of the setup.
The article explains deploying Kubernetes manifests, creating Docker registry secrets, fetching external IPs, and running integration tests.
The end-to-end testing process is discussed in detail, including avoiding redundant unit tests and overcoming workflow limitations.
Considerations like managing costs, cluster isolation, and future improvements using tools like vCluster are also highlighted.
The article provides practical steps, code snippets, and references for deploying applications on GKE with GitHub workflows.

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Dev

201

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Types Of Testing Environment In TestGrid

The digital era's emphasis on instant access has influenced technology and software development, calling for faster and more efficient solutions to meet user demands.
A robust testing infrastructure is crucial for delivering high-quality, reliable software promptly in the digital world.
TestGrid's automated testing frameworks play a vital role in accelerating testing processes and minimizing human errors, ensuring quick and thorough validation of code changes.
A testing infrastructure provides space for testing teams to assess and resolve bugs, ensuring seamless application operation and optimal user experience.
Components of a test infrastructure include test environments, test cases, test data management, testing platforms like TestGrid, test automation frameworks, and CI/CD pipelines.
TestGrid offers various testing environments, including Public Cloud, Dedicated Private Cloud, On-Premise installations, Private Device Lab, Real Device Cloud, and On-Demand Hybrid Infrastructure.
Private Device Lab by TestGrid offers efficient testing on real devices behind the corporate firewall, allowing scalability and centralized management for enterprises.
Real Device Cloud provides testing on authentic devices and browsers, emphasizing real-world conditions and performance engineering for mobile apps, ensuring cost-effectiveness and enterprise-grade security.
On-Demand Hybrid Infrastructure from TestGrid supports end-to-end testing with additional features like scriptless test automation, performance testing, and AI insights, catering to businesses and DevOps teams.
TestGrid's focus on efficiency, security, and innovation in testing environments helps organizations deliver high-quality software, meeting user expectations for seamless digital experiences in the fast-paced digital landscape.

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Dev

311

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Pull Request testing on Kubernetes: working with GitHub Actions and GKE

The article discusses the setup of end-to-end testing for Pull Requests on Kubernetes using GitHub Actions and Google Kubernetes Engine (GKE).
Key steps include creating a GKE instance, configuring Kubernetes manifest with Kustomize, allowing GitHub workflow use of GKE, and building/pushing Docker image to GitHub registry.
Steps also cover installing PostgreSQL Helm chart, applying app manifest, running end-to-end test, and sizing the cluster for optimal performance.
Utilizing GitHub Actions for authentication on Google Cloud, creating Kubernetes manifests, accessing private GitHub registry from GKE, and setting up PostgreSQL connection parameters.
Challenges like setting GitHub image tag, accessing private registry, obtaining IP for deployed app on GKE, and running the end-to-end test are discussed and addressed.
Implementation includes setting image tag with GitHub Run ID, creating Docker Registry Secret, configuring PostgreSQL and retrieving external deployed app IP.
Final steps cover end-to-end test execution, potential challenges, and considerations for implementation in organizational setups.
Challenges of cluster management and isolation in shared clusters are highlighted, with vCluster suggested as a potential solution for isolation in upcoming posts.
The article showcases the source code and resources for further exploration into deploying to GKE and utilizing GitHub Actions for CI/CD workflows.
The tutorial offers detailed insights into setting up end-to-end testing workflows for Kubernetes-based projects using GitHub Actions and GKE.
The article emphasizes practical implementations and considerations for efficient testing and deployment processes in Kubernetes environments.

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Dev

293

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How to Contact Amazon Web Services: Understanding AWS Support Phone Numbers

Amazon Web Services (AWS) provides various support channels, including phone support, online tickets, and community forums, tailored to different user needs.
Access to AWS support varies by the support plan chosen, with options ranging from Basic Support to Enterprise Support, offering different levels of access and assistance.
Utilizing the AWS Management Console allows users to access their support resources efficiently and manage their AWS-related tasks in a centralized location.
AWS re:Post serves as a community-driven platform for seeking technical guidance, sharing knowledge, and finding expert-curated articles, enhancing collaborative problem-solving.
Customers with active support plans can reach AWS Support via a global support hotline available 24/7 for urgent assistance with account issues and billing inquiries.
Filing a support ticket online through the AWS Support Center is a straightforward process that requires a detailed description of the issue and relevant attachments for swift resolution.
AWS offers expert help and technical guidance for complex issues, ensuring deep technical support tailored to specific needs like architecture optimization and performance tuning.
Developer Center resources, including SDKs for various programming languages, and tools like AWS Solutions Library and Architecture Center, support developers in building and troubleshooting applications.
AWS Contact Center solutions like Amazon Connect Voice ID and machine learning tools optimize customer service experiences and enhance operational efficiency within contact centers.
AWS provides additional resources like the AWS Solutions Library, Architecture Center, and Training and Certification programs to assist users in optimizing their cloud infrastructure and gaining relevant skills.

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Dev

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7 Advantages of the DevOps Course in 2025

DevOps courses offer numerous advantages for IT professionals in 2025.
High demand for skilled DevOps professionals leads to increased job opportunities with competitive salaries.
DevOps courses enable accelerated software development and deployment through automation.
Enhanced collaboration, better understanding of automation and cloud technologies, improved software reliability, increased earning potential, and opportunities for freelancing and remote work are among the additional advantages of taking a DevOps course.

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Dev

284

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Asynchronous Server: Building and Rigorously Testing a WebSocket and HTTP Server

The article focuses on building and rigorously testing a server, deviating from an ongoing series on a financial data analyzer.
Tools like mypy, bandit, and Prospector are used to enforce type safety, security, and consistent code style.
The server improvement includes testability, model accuracy, code quality, and type consistency, with detailed code restructuring.
Tests cover WebSocket functionalities, integration-style tests, unit tests, and comprehensive analysis of various functions in the codebase.
The unit tests thoroughly cover functions like analyzing transactions, classifying transactions, recurring transactions detection, financial health calculation, and anomaly detection.
Integration-style tests demonstrate interaction with WebSocket handlers, error handling, and message processing ensuring robust server performance.
Static analysis tools like mypy for type checking, bandit for security, and black and isort for code formatting are employed to enhance code quality.
Comprehensive testing and static analysis result in 100% test coverage for the AI service, highlighting the commitment to reliability and performance.
The article concludes by inviting engagement and sharing, offering the author's expertise in software engineering and technical writing.

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Itrevolution

183

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What To Expect At Enterprise Technology Leadership Summit Connect 2025

The Enterprise Technology Leadership Summit Connect 2025 is a gathering of accomplished technology leaders focused on sharing experience reports in the midst of rapid GenAI evolution.
The event aims to provide insights on improving sociotechnical systems, subject matter expertise, and career guidance for technology leaders and their teams.
There will be emphasis on GenAI with talks covering various topics such as AI impact on organizations, observed AI behavior, chat-oriented programming, and using GenAI to elevate productivity.
Speakers like Stefan Ostwald, Nathan Labenz, Steve Yegge, Fernando Cornago, John Rauser, Scott Prugh, Christine Hudson, Chuck Lafferty, and Dr. Mary Hayes will share their expertise and insights.
The lineup includes discussions on AI implementation, AI deception, chat-oriented programming, leveraging GenAI, setting team norms, and trust-building in leadership.
The event promises to offer valuable learnings on enterprise technology transformation, especially in adapting and thriving in the AI age.
Attendees will have the opportunity to learn from leaders actively shaping the future of enterprise technology.
Registration for ETLS Connect 2025 is open for those interested in joining the summit.
The event is hosted by IT Revolution with a diverse lineup of speakers sharing their experiences and insights for the benefit of technology leaders.
Overall, the summit is set to provide a platform for collaboration, learning, and discussion on the ever-evolving landscape of enterprise technology leadership.

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Dev

119

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DevOps Labs : Guide to Setup Node.js 23, React, NestJS, Next.js, and Nginx on EC2 Ubuntu 24.04

The article provides a guide to setting up Node.js 23, React, NestJS, Next.js, and Nginx on EC2 Ubuntu 24.04.
The guide includes instructions to install Node.js 23, setup a React application, install and configure Nginx for React, setup NestJS and Next.js applications, and configure Nginx for NestJS and Next.js.
It also covers starting and verifying the applications as well as troubleshooting tips.
The article concludes by providing a summary of the steps and encouraging readers to check logs and verify configurations if any issues arise.

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Dev

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Understanding SSH Socket-Based Activation in Ubuntu 24.04

With Ubuntu 24.04 LTS, Canonical has optimized SSH by using socket-based activation instead of a standalone service by default.
This change improves memory efficiency, especially for VMs and containers, as SSH is only active when needed.
Configuring a custom SSH port has become easier in Ubuntu 24.04 as it now dynamically pulls port settings from /etc/ssh/sshd_config.
Users who prefer the traditional method can disable socket-based activation and restore the classic behavior of SSH in Ubuntu 24.04.

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Dev

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Key Cloud Computing Concepts.

Virtualization is the creation of a virtual version of a computer resource.
Scalability allows a system or network to handle increased workload by adding resources.
Agility refers to quickly adapting to changes in the system, like scaling resources.
High Availability and Fault Tolerance ensure system continuity and minimal disruptions.
Global Reach pertains to the ability of a cloud service provider to offer services worldwide.
Scalability is about handling growth, while Elasticity is about adjusting resources dynamically based on current demand.

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Medium

155

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Kubernetes: What Is This Strange Word?

Docker is a tool for containerizing applications, ensuring they run consistently across different environments.
Kubernetes is a container orchestration platform that automates the process of monitoring and replacing failed containers.
Kubernetes runs containers inside Pods, distributing workloads across multiple Nodes to scale applications.
Using a cloud-managed Kubernetes service like AWS EKS simplifies deployment and operations for production environments.

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Dev

247

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How to install Harbor across multiple Kubernetes clusters

To deploy Harbor with Sveltos, first create a ClusterProfile YAML configuration.
Apply the Cluster Profile to the Kubernetes cluster.
Verify the Harbor deployment by checking the pods status with 'kubectl get pods -n harbor'.
Access Harbor UI by retrieving the external IP address of the LoadBalancer service.

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Microsoft

224

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GitHub Copilot for Azure DevOps users

GitHub Copilot for Business is accessible to all Azure DevOps customers.
GitHub Copilot is integrated into tools like Visual Studio and VS Code.
Resources are available to help Azure DevOps customers get started with GitHub Copilot.
GitHub Copilot can be used with Azure Repos for improved coding assistance and workflow automation.

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Medium

169

Unlocking the Power of Multi-Container Pods: A Deep Dive into Shared Volumes, Sidecar Patterns, and…

A pod in Kubernetes is the smallest deployable unit that can contain one or more containers.
Containers in the same pod share CPU, memory, storage resources, and the same network namespace.
Using a sidecar container in the same pod allows decoupling of responsibilities and sharing of volumes.
The sidecar pattern can be applied to various situations, not just log management.

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