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Solarwinds

141

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Automation Strategies to Help Hit Your SLAs

Automation tools have evolved to help ITSM teams meet service-level agreements (SLAs) at a higher success rate.
SLAs define and manage client expectations for response time, resolution time, service availability, escalation process, first contact resolution rate, customer satisfaction score, and problem resolution.
Automation processes like automated ticket routing, self-service portals, and intelligent alerting can assist teams in meeting SLAs effectively.
Artificial intelligence (AI) can further transform ITSM by automating tasks, providing user support, analyzing metrics, and improving incident resolution.

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Hackernoon

236

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This DevOps Fix Cuts Kubernetes Test Times from 7 Minutes to 1

The article discusses how a DevOps fix reduced Kubernetes test times from 7 minutes to 1.
Utilizing vCluster allows testing each pull request in isolation, significantly cutting down test times.
Virtual clusters provide better isolation and flexibility within a physical host cluster, supporting multi-tenancy.
The process of installing and connecting to a virtual cluster consists of three steps: Install vCluster, Create a virtual cluster, and Connect to the virtual cluster.
Creating a virtual cluster takes about a minute, much quicker than spinning off a new GKE cluster.
There are no changes required to workflow steps when using vCluster, as it has the same interface as a regular Kubernetes cluster.
Cleaning up objects in a virtual cluster is simple by adding a step to delete the vCluster.
To ensure proper cleanup, a condition can be added based on the success of prior steps before deleting the virtual cluster.
Using vCluster enables sandboxed PR runs, reducing conflicts and managing costs effectively.
The article concludes a series on testing PRs on Kubernetes, providing a foundation for end-to-end testing workflows.

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Dev

232

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Optimizing Docker Images for Production: Reduce Size, Improve Security & Speed Up Builds

Docker images are the backbone of containerized applications. However, without proper optimization, they can become bloated, slow, and insecure.
Methods to optimize Docker images include: using minimal base images, implementing multi-stage builds, removing unnecessary files, and optimizing layer usage.
Improving Docker image security involves using official and trusted images, scanning for vulnerabilities, avoiding running as root, and keeping dependencies updated.
To speed up Docker builds, leverage build cache, enable parallel builds with BuildKit, and use docker buildx for multi-platform builds.

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Dev

141

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[2025]How to Integrate Stripe Payments for your website: Step-By-Step Guide

Integrating Stripe payments for your website can be made easier with the ShipNowKit.
Set up your Stripe account, obtain API keys, and start with the test environment during development.
Configure webhooks in Stripe Dashboard to receive real-time event notifications for payment confirmations and subscription updates.
Handle payment events using ShipNowKit's convenient EventEmitter class, simplifying the process of handling Stripe's complex event system.

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Dev

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Azure DevOps Security Best Practices

Data-handling platforms like Azure DevOps simplify DevOps processes but also bring increased cyber security risks.
Azure DevOps faces risks like accidental and intentional deletions, unauthorized access, and ransomware threats.
Implementing security measures like identity and access controls, multi-factor authentication, and creating security groups are crucial.
Following the Shared Responsibility Model, Azure DevOps users are responsible for data, accounts, and access management.
Recommendations include restricting, monitoring, and controlling access, enforcing the principle of least privilege, and using Role Based Access Controls (RBAC).
Utilizing multi-factor authentication, Microsoft Entra ID, and managing credentials securely with PATs or SSH keys is advised.
Securing repositories, creating security groups, monitoring processes, and following best practices for network security are essential.
Additional precautions involve verifying third-party integrations, attention to GitHub integrations, and enforcing rules on branches and policies.
Backing up Azure DevOps data, ensuring service-specific security, and using GitProtect for reliable backup and DR solution are recommended.
By following best practices and leveraging tools like GitProtect, organizations can enhance the security posture of their Azure DevOps environments.

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Dev

364

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Pull request testing on Kubernetes: vCluster for isolation and costs control

The article discusses the use of vCluster on Kubernetes for testing pull requests, providing isolation and cost control benefits.
Virtual clusters offer better isolation and flexibility for supporting multi-tenancy within a single physical cluster.
Installing and connecting to vCluster is a three-step process that simplifies testing procedures.
Introducing vCluster into existing workflows does not require significant changes due to its similar interface with regular Kubernetes clusters.
Cleaning up after testing is simplified with a straightforward process to delete virtual clusters once testing is completed.
The setup allows each Pull Request to run independently, reducing conflicts and controlling costs effectively.
The series of articles provide a practical foundation for implementing end-to-end testing of PRs on Kubernetes.
The article concludes by providing resources for further exploration and access to the complete source code on GitHub.
vCluster provides a solution for managing PR testing on Kubernetes efficiently, aiding in streamlining workflows and reducing risks.
By utilizing vCluster, developers can focus on feature delivery without concerns about disrupting shared environments.

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Dev

419

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5 Awesome Fly.io Alternatives

Many developers are seeking alternatives to fly.io due to various issues like reliability, overcommitting, and pricing concerns.
Sliplane is a cost-effective PaaS allowing unlimited containers per server, great for managing low-traffic projects with features like automatic SSL and GitHub integration.
Coolify is an open-source, self-hostable PaaS supporting various languages and frameworks, ideal for those wanting full control over data and infrastructure.
Render is a managed PaaS offering features like autoscaling, DDoS protection, with a free tier making it reliable and easy to use.
DigitalOcean App Platform is a managed PaaS supporting multiple languages, offering smart autoscaling, enhanced security, and Git integration.
Kamal is a free deployment tool for containerized web apps, providing control over infrastructure and fast deploys without traditional PaaS fees.
Consider factors like cost-effectiveness, managed features, and control over infrastructure when choosing a fly.io alternative.
Sliplane, Coolify, Render, DigitalOcean, and Kamal offer diverse solutions catering to different needs, highlighting aspects of cost-effectiveness, simplicity, and control.
Evaluate your hosting needs based on features and challenges faced in managing Docker apps to make an informed decision.
Consider the trade-offs between cost, simplicity, and control when selecting an alternative PaaS for hosting your applications.

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Dev

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HOW TO CREATE WINDOW SERVER VIRTUAL MACHINE IN AZURE.

Creating a Windows Server virtual machine in Azure is similar to creating a virtual machine for other purposes.
Windows Server VMs are specifically designed for server-related tasks and hosting applications like Active Directory, SQL Server, or web servers.
The steps to create a Windows Server VM include searching for Virtual Machine on the Azure dashboard, selecting appropriate settings such as image, size, administrator account, and inbound ports, and then reviewing and creating the deployment.
After the deployment is completed, users can connect to the VM using RDP and run commands, such as installing a web server with the command 'Install-WindowsFeature -Name Web-Server -IncludeManagementTools'.

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Amazon

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AWS Chatbot is now named Amazon Q Developer

AWS Chatbot has been renamed to Amazon Q Developer, offering generative AI-powered capabilities for developer productivity and enhanced chat-based DevOps tools.
The transition to Amazon Q Developer maintains compatibility with most workflows for existing AWS Chatbot users, with minor changes like notifications showing "Amazon Q" as the sender.
Existing Slack Automation Workflows and IAM permissions remain unchanged after the renaming, ensuring business continuity and security controls.
Amazon Q Developer's chat features are available through the Free tier, maintaining geographical reach and accessibility in all commercial regions.
Security controls, including IAM permissions and channel-specific guardrails, are maintained to precisely control access to resources and features.
Amazon Q Developer integration with Microsoft Teams and Slack enhances DevOps capabilities by providing real-time visibility into environment states and enabling custom notifications and command execution in chat channels.
The use of natural language processing in Amazon Q Developer streamlines interactions and improves efficiency, allowing users to ask questions in a more intuitive way for resource management and status monitoring.
Getting started with Amazon Q Developer involves a straightforward setup process through the console or AWS SDK, requiring the addition of appropriate managed policies to IAM roles for accessing generative AI capabilities.
Users are encouraged to explore the getting started guide and updated documentation to leverage the enhanced capabilities of Amazon Q Developer for streamlining DevOps workflows and improving collaboration.
Amazon Q Developer offers extensive features like custom notifications, actions, command aliases, and natural language querying for improved resource management and infrastructure visibility in chat channels.

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Hashicorp

127

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HCP Terraform Operator is now certified on Red Hat OpenShift

The HCP Terraform Operator is now certified for Red Hat OpenShift, providing reliable, scalable, and secure integrations between Terraform and Kubernetes for streamlined workflows.
The operator allows users to manage HCP Terraform and Terraform Enterprise workspaces, agent pools, and resources directly from their Kubernetes clusters.
Recent updates to the operator include a flexible deletion policy for safer resource management during migrations, improved agent scaling capabilities for better resource utilization, and certification in the Red Hat Ecosystem Catalog.
To start using the HCP Terraform Operator on Red Hat OpenShift, users can access the OpenShift Console, navigate to OperatorHub, search for the operator, install it, and refer to the official documentation for setup and configuration guidelines.

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Dev

387

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Build a Datadog alternative in 5 minutes

A Logs Explorer template as a simple Datadog alternative or for user-facing logs analytics features is announced as open source.
The template can be deployed on Tinybird and Vercel in a few minutes.
The development process involves Tinybird, Vercel, and Next.js.
Instrumentation methods include using Tinybird’s Events API or a log collector like Vector.dev.
The approach involves storing logs in one table, sorting by filterable columns, and supporting semi-structured metadata.
Basic APIs for filtering, aggregating metrics, text search, and pagination are implemented initially.
Development workflow includes local testing, bootstrapping with tb create, and using version control and CI/CD.
The process involves generating mock data, creating APIs for UI components, and integrating Tinybird APIs with Next.js.
CI/CD setup is managed with GitHub Actions for building, testing, and deploying to Tinybird Cloud and Vercel.
Strategies for instrumenting application logs are discussed, including direct Events API ingestion or using log collectors like Vector.dev.

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Dev

132

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Linux Virtual Machine Scale Set Creation and Connection

Linux Virtual Machine Scale Set (VMSS) allows you to deploy and manage a group of identical, auto-scaling virtual machines (VMs)
Preparation steps include having an active Azure subscription and basic knowledge of Azure concepts
To create and connect to a Linux VM Scale Set in Azure, follow the provided steps which include signing in to the Azure portal, creating the scale set, configuring the basics, orchestrating and scaling, configuring instance details, creating the load balancer, and connecting to the VMSS
By using a Linux VM Scale Set, you can ensure high availability, adapt to fluctuating workloads, optimize costs, and handle dynamic workloads

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Testim.io

287

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A look back at 2024: growth, change, and what’s coming in 2025

In 2024, Tricentis focused on bringing developers and QA professionals closer together with initiatives such as Tricentis for Dev Teams showcase.
Testim Copilot, an AI-driven tool, simplified test building and maintenance by automating tasks.
AI and machine learning enhancements in Testim boosted testing stability and scalability during the year.
Significant improvements were made to Testim Mobile with faster test authoring and support for various frameworks.
The introduction of low-code test automation for Salesforce by Testim provided quick and reliable automated testing solutions.
Tricentis conducted a global tour themed 'Quality is Everything' to promote AI-powered test automation and management.
In 2025, AI will continue to drive advancements in test automation, focusing on smarter and faster solutions.
Mobile adoption will increase, emphasizing the importance of tools like Testim Mobile for enhanced user experiences.
The low-code movement, particularly in Salesforce testing, will persist, enabling various users to contribute to quality delivery.
2024 marked a year of growth, challenges, and community building for Tricentis, emphasizing the importance of quality in all endeavors.

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The New Stack

323

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Kubescape Achieves CNCF Incubation Status

Kubescape achieves CNCF incubation status.
Kubescape is an open source Kubernetes security project that leverages eBPF-based event monitoring to detect security threats.
It provides risk analysis, security, compliance, misconfiguration scanning, and image scanning for IDEs, CI/CD pipelines, and clusters.
With its incubation status, Kubescape is expected to experience accelerated growth and increased contributor diversity.

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Dev

132

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You Should Test Less - Skip Irrelevant Tests With Impact Analysis

Running irrelevant tests wastes time, energy, and resources.
Test-impact analysis (TIA) helps in skipping irrelevant tests based on code dependencies.
Automatic TIA methods use static code analysis or run-time coverage to identify dependencies.
File dependencies, program dependency graphs, and coverage are key methods used in TIA.
Manual specification of dependencies can also be done for TIA, especially for non-code changes.
TIA can be complemented with other speed-up methods like test suites, parallelization, and predictive test selection.
Predictive selection involves choosing tests likely to fail and can be sophisticated using machine learning models.
Test-impact analysis can be beneficial for speeding up test suites and improving efficiency in testing processes.
Users are encouraged to try out test-impact analysis tools like spdr for Python to enhance their testing strategies.
Efficient testing practices like TIA can improve development productivity and reduce unnecessary testing overhead.

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