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Security researchers have discovered a cryptocurrency mining operation that targets misconfigured DevOps infrastructure, specifically exploiting HashiCorp Nomad servers, Consul dashboards, Docker APIs, and Gitea code-hosting instances to mine Monero. The attackers utilize publicly available tools to avoid detection and recommend securing these systems to prevent future breaches.
The Amazon EKS Auto Mode workshop offers hands-on training for deploying workloads using Amazon Elastic Kubernetes Service (EKS) Auto Mode, which simplifies Kubernetes operations on AWS. Participants will learn to enable Auto Mode, deploy applications, and manage upgrades while gaining insights into migrating existing workloads. The workshop is designed for users with a basic understanding of Kubernetes and is accessible through AWS accounts or hosted events.
Amazon Q Developer CLI now integrates Claude Sonnet 4, enhancing developers' workflows with advanced coding and reasoning capabilities at no extra cost. The new model excels in coding tasks, offering features like bug fixing, running bash commands, and providing immediate feedback, while users can easily select their preferred model within the CLI. A practical demonstration showcases Claude Sonnet 4's ability to create a sophisticated Python to-do list application with robust error handling and documentation generation.
HCP Waypoint Actions have been launched to enable platform teams to expose Day 2+ operations and workflows to developers as push-button tasks. This feature allows for streamlined application lifecycle management, including custom and agent actions that facilitate operations in various environments.
Infrastructure as Code (IaC) is essential for modern cloud operations, allowing companies to define their infrastructure through code, facilitating easy deployment, rollbacks, and reproducibility. By using tools like Terraform, teams can manage resources more efficiently, eliminating the risks associated with "snowflake servers" and improving overall agility in infrastructure management.
The article outlines the capabilities of Datadog's cloud cost management solutions, focusing on various aspects of infrastructure, security, and application monitoring. It highlights features such as vulnerability management, compliance, and support for multiple cloud platforms, emphasizing its applicability across various industries. Additionally, it addresses the integration of AI and DevOps practices to enhance operational efficiency.
Container image signing is a crucial security practice that helps ensure the integrity and authenticity of container images. By implementing image signing, organizations can mitigate risks associated with deploying unverified or malicious images in their environments. The article discusses the benefits and best practices for adopting container image signing in DevOps pipelines.
Microsoft is leveraging AI agents to enhance DevOps processes, which is leading to significant advancements in automation and efficiency within software development and operations. These AI agents are designed to streamline workflows and improve collaboration among teams, showcasing a competitive edge in the evolving tech landscape.
Learn how to automate the deployment of Azure SFTP using Terraform for a streamlined, version-controlled setup. The article provides a GitHub repository with necessary Terraform code, customization tips, and step-by-step instructions for creating and managing Azure SFTP resources efficiently.
The article discusses the future of testing in DevOps, highlighting the trends and technologies expected to shape the landscape by 2025. It emphasizes the importance of automation, continuous testing, and collaboration among teams to enhance software quality and delivery speed. Key insights include the integration of AI and machine learning into testing processes to improve efficiency and effectiveness.
Pre-caching Terraform provider plugins in CI/CD pipelines can significantly reduce network activity and provisioning times by avoiding repeated downloads. A new project simplifies this process by allowing users to define target repositories and easily configure multiple Terraform versions. This approach not only speeds up pipeline executions but also mitigates risks associated with external dependencies.
The article discusses the integration of OpenAI's capabilities with Datadog's AI DevOps agent, highlighting how this collaboration enhances monitoring and performance optimization for cloud environments. It emphasizes the potential for improved incident response and proactive management through AI-driven insights.
Envilder is a CLI tool that automates .env and secret management using AWS SSM Parameter Store, streamlining environment setup for development teams. It addresses common issues like outdated secrets, manual onboarding, and security risks by centralizing secrets management, generating consistent .env files, and enhancing CI/CD workflows. Envilder ensures secure, efficient, and idempotent management of environment variables across various environments, making it ideal for DevOps practices.
The article reflects on the evolution of container technology and its impact on DevOps practices, highlighting the transition from virtual machines to containers, the challenges of Kubernetes, and the changing landscape of development culture. It discusses how the focus on deployment and complexity has transformed the role of DevOps, leading to a greater emphasis on efficiency and the adoption of "boring" technologies in recent years. Looking ahead, it suggests that while containers are becoming more mainstream, the need for a change budget remains crucial for innovation.
Google has introduced a suite of AI agents and platforms aimed at automating software development processes, including a new sandbox environment for developers. New tools such as the Application Design Center and Cloud Hub service are designed to simplify application management and optimize cloud resource consumption. A recent survey indicates a growing interest in AI tools for code generation and IT operations.
Terraform GUIs offer a visual interface to enhance the management of infrastructure as code, addressing the limitations of Terraform's CLI-centric approach. These tools improve collaboration, visibility, and workflow automation, making it easier for teams to manage configurations, monitor changes, and enforce policies without deep CLI expertise. Leading solutions like Spacelift, Terraform Cloud, and Gaia provide various features tailored to different team needs and automation requirements.
Amazon CloudWatch now supports resource tags for monitoring vended metrics, allowing DevOps engineers to create dynamic monitoring views aligned with their organizational structure. This tag-based telemetry experience simplifies the management of alarms and metrics, enabling faster insights and reducing manual overhead after deployments. The feature is available in multiple AWS regions and can be enabled easily through the CloudWatch Settings or AWS CLI.
The article showcases on-demand videos from the {unscripted} VIRTUAL conference, featuring insights from various industry leaders in software engineering, DevOps, and cloud operations. Key speakers include executives from companies like Deluxe, Sony, and Capital One, who discuss the future of AI-powered software delivery and related innovations.
AWS has introduced CloudWatch Investigations, a generative AI feature designed to streamline DevOps troubleshooting by integrating with Slack for real-time collaboration. This capability helps teams quickly assess the severity of alerts and determine root causes by analyzing multiple metrics and logs, significantly reducing resolution times. The blog explains how to set up this integration and interact with investigations within Slack to enhance team efficiency during incidents.
Google Cloud has launched new AI-powered tools aimed at simplifying the application lifecycle for developers and operators. The introduction of services like Application Design Center and Cloud Hub allows for more efficient design, deployment, and management of applications, while Gemini Code Assist enhances developer productivity with AI support throughout the software development process.
Seal Security offers a solution for applying security patches to existing open source libraries without disrupting development workflows. Their approach enables teams to address vulnerabilities, maintain compliance with various standards, and support a wide range of programming languages and Linux distributions, all while integrating seamlessly with popular DevOps tools. The service ensures that organizations can manage security efficiently and effectively, even for legacy and end-of-life systems.
Talos is a Linux distribution designed specifically for Kubernetes, emphasizing a no-SSH approach to enhance security and simplify operations. It automates the deployment and management of Kubernetes clusters, allowing users to focus on their applications rather than the underlying infrastructure. Talos operates in a minimalistic environment, making it suitable for cloud-native applications and modern DevOps practices.
Platform engineering is evolving towards a collaborative model known as Platform Democracy, where multiple teams, including developers and external providers, participate in shaping and maintaining internal platforms. This approach aims to eliminate bottlenecks and inefficiencies by allowing producers and consumers of platform capabilities to work together seamlessly, enhancing speed, safety, and efficiency. Tools like Kratix facilitate this shift by supporting a decentralized and democratic framework for platform development.
Amazon Q Developer has introduced Model Context Protocol (MCP) support in its IDE plugins for Visual Studio Code and JetBrains, enhancing context-aware workflows by integrating external tools. This allows developers to streamline tasks, such as managing Jira issues and accessing Figma designs, directly from the IDE without manual context switching. By utilizing MCP, Q Developer can automatically fetch relevant details and execute complex multi-tool tasks efficiently.
The article highlights a series of on-demand videos from the {unscripted} VIRTUAL conference, featuring industry leaders discussing the future of AI-powered software delivery. Experts from various companies share insights into enterprise architecture, security, DevOps, and cloud operating models, showcasing the evolving landscape of software engineering and technology.
ArgoCD's integration with Amazon Q CLI through the MCP server enhances Kubernetes management by enabling natural language interactions for deployment operations. This development simplifies complex GitOps workflows, making them accessible to non-technical stakeholders and streamlining multi-cluster management, troubleshooting, and application promotion processes. The solution aims to reduce reliance on technical expertise and improve operational efficiency within DevOps teams.
Linux is experiencing growth on business desktops and laptops, increasing from 1.6% to 1.9% between January and June 2025, with a notable rise to 2.5% for new assets. The trend is attributed to heightened cybersecurity concerns and a shift towards DevOps practices, with Europe leading in adoption rates. Despite this gradual growth, challenges remain due to software compatibility and user familiarity with Linux compared to Windows and Mac systems.
Keeper Secrets Manager is a cloud-based solution designed for secure secrets management, specifically targeting Non-Human Identities (NHIs) like API keys and database credentials. It offers features such as role-based access controls, automated credential rotation, and seamless integration with popular DevOps tools to enhance security and compliance in IT environments. The platform promotes a zero-trust, zero-knowledge approach to protect sensitive information across various infrastructures.
Immutable infrastructure is an approach in DevOps that emphasizes replacing servers rather than patching them, leading to predictable deployments and easier rollbacks. While it has many benefits, such as reducing configuration drift and enforcing best practices, there are challenges like slower deployment times and the need for upfront complexity in automation. Organizations should consider a gradual migration strategy to embrace immutable infrastructure while managing existing legacy systems.
Pulumi has launched Neo, the first AI-powered platform engineering agent designed to address infrastructure bottlenecks caused by rapid software development enhancements from AI tools. Neo automates infrastructure management tasks while ensuring compliance and governance, allowing platform engineering teams to keep pace with accelerated development cycles. Initial beta users reported significant improvements in infrastructure provisioning and management efficiency.
Platform teams evolve their deployment pipelines through three stages: establishing a deployment pipeline, integrating security measures, and developing a DevOps pipeline to enhance developer productivity. Each stage builds on the previous one by adding automation, security scanning, and improved documentation, ultimately streamlining the development process and reducing risks. Emphasizing an evolutionary approach allows organizations to adapt their pipelines to meet specific needs and compliance requirements.
Palo Alto Networks has introduced a new application security posture management (ASPM) capability within its Cortex Cloud platform, designed to enhance security in modern development workflows. This capability allows teams to prevent risks earlier in the software lifecycle by integrating findings from various AppSec tools and providing comprehensive context for better prioritization and automated remediation. By shifting from reactive to proactive security measures, organizations can effectively manage vulnerabilities and reduce the burden on development teams.
Learn how to perform a precision recovery of specific resources from etcd snapshots in Kubernetes, allowing for targeted restorations without the need for a full cluster rollback. This guide outlines a five-step process to restore critical resources like ConfigMaps while minimizing downtime and maintaining cluster stability.
The article critiques the DevOps movement, arguing that it has led to more complications and inefficiencies in software development rather than the intended improvements. It suggests that the emphasis on speed and automation often undermines quality and collaboration within teams. The author calls for a reevaluation of DevOps practices to prioritize sustainable development over rapid delivery.
Octopus has launched the Model Context Protocol (MCP) Server, which integrates AI assistants with Continuous Delivery processes to enhance software deployment and diagnostics. This server allows for standardized communication between AI tools and Octopus, improving efficiency and traceability while ensuring data security and compliance. Early access participants can explore these AI-powered capabilities to streamline their DevOps workflows.
Amazon Q Developer has officially launched its Pro Tier in the Frankfurt region, providing European customers with improved data residency and performance optimization. This expansion allows users to store content within the EU, reducing latency and enhancing their development experience, while still supporting cross-region operations for certain tasks. Users can now choose between N. Virginia and Frankfurt for their profile location.
The article discusses the complexity of Infrastructure as Code (IaC) and highlights the need for simpler solutions that can streamline the process for developers. It emphasizes the challenges faced by teams in adopting IaC practices and calls for more accessible tools to make IaC easier to implement and manage.
Docker's reliance on a persistent daemon with root privileges has raised security concerns, leading many to explore alternatives like Podman. Podman's daemonless architecture enhances security, reduces resource usage, and simplifies integration with systemd, making it a compelling choice for modern container management. The transition from Docker to Podman is seamless, allowing existing workflows to continue with minimal adjustments.
Pulumi CLI v3.192.0 introduces the `pulumi state taint` and `pulumi state untaint` commands, allowing users to mark resources for replacement without direct access to cloud APIs. This feature enhances infrastructure management by enabling users to prepare for resource replacement in CI/CD pipelines, facilitating smoother deployments. Users can preview changes and apply replacements later, streamlining the workflow.
Microsoft has updated the Azure SRE Agent, enhancing its capabilities for enterprise incident response and announcing that billing will begin on September 1, 2025. New features include granular permissions, expanded service skills, and integrations with incident management tools like ServiceNow, aimed at streamlining operations and improving uptime. The agent is designed to automate incident handling while ensuring security and adaptability for diverse operational styles.
Amazon Q Developer introduces an interactive code review experience in GitHub that enhances developer productivity by providing inline answers and suggestions directly within pull requests. This feature streamlines the review process by offering concise summaries and reducing the time spent searching for context, ultimately enabling faster code merges and improved collaboration among teams.
A consistent strategy for managing releases and tags in a GitHub repository was developed using GitHub Actions to automate versioning, tagging, and release note generation. This solution simplifies the release process by adhering to semantic versioning and eliminating manual steps, ensuring that every code change is properly documented and versioned.
Elastic and AWS have announced a five-year strategic collaboration agreement aimed at enhancing AI innovation in generative AI applications, making AI application development easier and more cost-effective. The partnership will leverage tools like Elasticsearch and Amazon Bedrock, focusing on industry-specific solutions and advanced security capabilities to support customers in adopting these technologies.
IBM TechXchange 2025 offers developers a comprehensive experience focused on scalable solutions, featuring hands-on coding sessions, workshops on Infrastructure as Code, and exploration of AI and open-source tools. Attendees can participate in instructor-led labs, experiment with quantum computing, and connect with industry experts to enhance their skills in modern app development and DevOps practices.
Chalk™ enables the capture of metadata during the build process, adding identifiable marks to artifacts and facilitating the understanding of development and production environments. It supports compliance with supply chain standards and allows for easy deployment and integration of security controls in applications. Comprehensive documentation and community engagement are encouraged for users looking to leverage its capabilities.
Spacelift has launched Intent, a new infrastructure management tool that allows users to make requests in plain English without needing to write HCL code. By directly interacting with OpenTofu providers via an open protocol, Intent aims to simplify infrastructure management while preserving essential governance and state management features. This solution is designed for speed and simplicity, complementing existing tools like Terraform rather than replacing them.
Terragrunt Stacks has reached feature completion as of version v0.78.0, enabling users to manage infrastructure configurations more efficiently. This new functionality allows for the declarative definition of reusable infrastructure units, significantly reducing configuration bloat and improving organization within Infrastructure as Code repositories. Community feedback has played a crucial role in shaping the final design and enhancements of Terragrunt Stacks.
Deploying Large Language Models (LLMs) requires careful consideration of challenges such as environment consistency, repeatable processes, and auditing for compliance. Docker provides a solid foundation for these deployments, while Octopus Deploy enhances reliability through automation, visibility, and management capabilities. This approach empowers DevOps teams to ensure efficient and compliant deployment of LLMs across various environments.
Memory usage in Prometheus can escalate dramatically in enterprise Kubernetes environments due to high-cardinality metrics and labels. This article details methods to analyze and reduce memory consumption effectively, including identifying redundant metrics and employing scripts to optimize monitoring without losing essential data.
The article discusses the use of Amazon S3 as a container registry, outlining the benefits and practical steps for integration. It emphasizes S3's cost-effectiveness and scalability for storing container images, while also addressing potential security considerations. The piece serves as a guide for developers looking to leverage S3 in their container management workflows.
GitHub Copilot has evolved to include an Agent Mode and Multi-Model support, significantly enhancing DevOps workflows. The introduction of the Model Context Protocol (MCP) allows for more intelligent interactions with DevOps tools, enabling teams to automate tasks and focus on strategic decision-making.
CI/CD pipelines often contain sensitive information within their logs, making them a critical target for attackers. The article discusses how to implement automated scanning of GitLab CI logs using GitGuardian's tools to detect and manage exposed secrets, enhancing security across the DevOps lifecycle. This approach helps organizations catch runtime secrets and maintain compliance while integrating seamlessly into existing workflows.
The article discusses the Forrester Wave report on DevOps, highlighting key trends and insights in the DevOps landscape. It emphasizes the importance of integrating development and operations to improve software delivery and operational efficiency. The report evaluates various tools and platforms that support DevOps practices, providing a comprehensive overview for organizations looking to enhance their DevOps capabilities.
Day-0, Day-1, and Day-2 operations provide a framework for managing the lifecycle of software services from planning and deployment to ongoing maintenance. By defining tasks for each phase, teams can improve operational stability and efficiency, ensuring successful software launches and management. The article outlines the key activities and best practices for each operational day, emphasizing the importance of structured processes in the DevOps lifecycle.
Terraformer is an open-source CLI tool developed by Google that facilitates the reverse-engineering of existing infrastructure into Terraform code. It automates the process of generating Terraform configurations and state files from cloud resources, making it invaluable for migrating legacy infrastructure, auditing, onboarding projects, and disaster recovery. The article details Terraformer's features, use cases, installation, and provides practical examples of its operation.
GitHub Copilot introduces agentic workflows that revolutionize the software development lifecycle by integrating intelligent agents that automate tasks, enhance collaboration, and address technical debt. This new approach, termed agentic DevOps, empowers developers to focus on creativity and innovation while improving efficiency and security. Additionally, Microsoft is open-sourcing GitHub Copilot to foster community-driven advancements in AI-assisted development.
Learn how to create a secure CI/CD pipeline using Okta, Terraform, AWS, and GitHub Actions, simplifying the integration and deployment process for DevOps beginners. The guide addresses common challenges in DevOps, such as state file storage and secrets management, providing a comprehensive overview of the necessary architecture and workflows. By the end, you'll be equipped to implement infrastructure as code with Terraform while ensuring security and efficiency.
Hosting GitHub Actions runners on HashiCorp Nomad offers a lightweight and scalable alternative to Kubernetes, enabling organizations to run self-hosted runners within their private networks for enhanced security and control. This solution reduces operational costs, simplifies management, and improves deployment speed by utilizing ephemeral runners that minimize resource overhead and ensure clean environments for each job. Additionally, it supports multi-cloud and hybrid deployments, allowing for flexible infrastructure management without vendor lock-in.
A DevOps engineer shares insights on reducing AWS compute costs by 70% through the implementation of a multi-architecture EKS cluster combined with Karpenter. The article details the strategies and tools used to optimize cloud infrastructure and improve cost efficiency.
Lean Software Development may be misguided as it often relies on analogies from manufacturing that do not adequately capture the complexities of software development. The author argues for a deeper understanding of software processes on their own terms, highlighting various architectural patterns like "Pipes and Filters" and the challenges of mapping software concepts to factory-like models. Through examples from programming and DevOps, the post explores the limitations of such metaphors in accurately representing software development workflows.
Orkes Conductor is a cloud-native workflow orchestration platform designed to enhance DevOps automation and optimize workflows in complex distributed systems. It addresses critical challenges such as manual task management, observability gaps, and integrations, enabling improved operational efficiency, reliability, and scalability through AI-driven automation. Key features include real-time monitoring, robust error handling, and seamless AI integration for predictive analytics.
Fraim provides AI-powered workflows for security engineers to identify and manage vulnerabilities throughout the development lifecycle. It offers tools for risk flagging, code security analysis, and infrastructure-as-code analysis, enhancing visibility and focusing security resources on high-priority issues. The platform integrates seamlessly into CI/CD processes and supports customization for specific organizational needs.
Terraform and Jenkins are essential tools in DevOps that enhance automation in deployment processes. Terraform focuses on infrastructure as code for provisioning and managing cloud infrastructure, while Jenkins automates the CI/CD pipeline for application deployment. Together, they create efficient, automated workflows that streamline both infrastructure management and application delivery.
AWS Elastic Beanstalk simplifies web application deployment, but troubleshooting can be complex. The new Amazon Q Developer CLI enhances this process by allowing developers to quickly identify and resolve operational issues, such as environment health and configuration problems, using targeted queries and analysis of logs and configurations. This significantly reduces the time spent on troubleshooting, enabling developers to maintain healthy environments more efficiently.
Terraform and Bicep are prominent infrastructure-as-code tools, with Terraform being a cloud-agnostic solution and Bicep specifically designed for Microsoft Azure. Bicep simplifies the JSON syntax of ARM templates and offers native Azure integration, while Terraform boasts a rich provider ecosystem and state management features. Understanding their differences can help users choose the right tool for their deployment needs.
The article discusses the implementation of a custom Kubernetes scheduler for continuous integration processes, focusing on how it can optimize resource allocation and improve deployment efficiency. It outlines the advantages of using a tailored scheduling approach over default settings and provides insights into the configuration and integration of such a scheduler in a CI/CD pipeline.
Amazon CloudWatch Application Signals has introduced enhanced features that simplify monitoring of large-scale distributed applications. New capabilities include automatic service grouping based on relationships, contextual troubleshooting tools, and integration with CloudWatch Investigations, enabling faster root cause analysis and reducing operational maintenance time.
CloudBees is launching CloudBees Unify, an operating layer designed to streamline management across various DevOps platforms such as GitHub Actions. This approach aims to enhance real-time analytics, testing, and compliance as organizations face increasing complexity and automation in their DevOps workflows, especially with the rise of AI tools in software development.
The article discusses the integration of Terraform and Ansible, highlighting how these two tools complement each other in infrastructure management. It emphasizes the benefits of using Terraform for provisioning and Ansible for configuration management, showcasing improved efficiency and collaboration in DevOps practices.
Salesforce leverages Slack to enhance its operational efficiency by integrating DevOps practices with AIOps, allowing for streamlined communication and collaboration across teams. This integration helps Salesforce maximize project velocity and improve overall productivity by facilitating real-time updates and feedback.
Golden paths in Internal Developer Platforms (IDPs) provide pre-architected, reusable infrastructure patterns that standardize and accelerate cloud development. By utilizing Pulumi Components and Templates, organizations can encapsulate best practices and streamline the deployment of production-grade infrastructure, enabling developers to focus on building applications rather than managing complexity. This guide outlines how to create and document these components and templates for effective adoption across teams.
GitLab 18 has been released, introducing significant enhancements aimed at improving the user experience and streamlining development workflows. Key features include improved performance metrics, enhanced security measures, and more integrated CI/CD tools designed to facilitate better collaboration among development teams.
The post details how to implement a "build once, deploy everywhere" strategy using Azure Developer CLI (azd) for provisioning environment-specific infrastructure and promoting applications from development to production. It emphasizes using conditional Bicep deployment, environment variable injection, and an automated CI/CD pipeline to ensure consistent deployments across different environments.
The article discusses the enduring relevance of Java as it reaches its 30th anniversary, highlighting how it has adapted to modern development practices and remains integral to DevOps platforms. It emphasizes Java's ability to evolve without losing its core principles, ensuring it continues to meet the demands of contemporary software development.
Ansible is a powerful automation tool for managing system configurations and administration tasks across remote machines with an emphasis on idempotence. It offers a user-friendly YAML-based DSL, a strong community, and extensive integrations, but also has design limitations that can complicate its use. While Ansible excels in ease of use and consistency compared to shell scripts, it may not be ideal for complete infrastructure management where other tools like Puppet can be more suitable.
OpenTofu Day offers an opportunity for infrastructure and platform engineers to engage with the OpenTofu community, which is the open-source successor to Hashicorp® Terraform™. The event focuses on community experiences and new developments within the project, making it ideal for DevOps professionals, especially those considering migration from Terraform. Attendees are encouraged to familiarize themselves with OpenTofu prior to the event for a more enriching experience.
The article outlines how to implement a "build once, deploy everywhere" strategy using Azure DevOps Pipelines with the Azure Developer CLI. It highlights the benefits of using CI/CD artifact systems for improved traceability and cross-job compatibility, and presents a multi-stage pipeline structure that enhances deployment processes through better separation of concerns and validation checks.
Dynatrace has introduced the Live Debugger, a cloud-native tool designed to enhance debugging in production environments by providing real-time access to code-level data without disrupting operations. This tool allows developers to quickly troubleshoot issues by setting non-breaking breakpoints and collecting debug data, improving efficiency and reducing reliance on traditional debugging methods. Live Debugger is currently in preview and aims to support modern development challenges with a focus on security and observability.
Devpush is an open-source platform that serves as a self-hostable alternative to services like Vercel and Netlify, enabling users to build and deploy applications in various languages with features such as zero-downtime updates, real-time logs, and team management. It supports Git-based deployments and customizable environments, making it suitable for developers looking for a flexible deployment solution on their own servers.
CloudBees CEO Anuj Kapur highlights a shift among customers who initially rushed into AI-generated code due to FOMO, now taking a more cautious approach. He warns against the dangers of "black-box" code that lacks transparency and quality, emphasizing the need for thorough testing and safeguards in AI development to prevent potential failures. Kapur suggests that customers are beginning to reassess the implications of rapid AI adoption in their software development processes.
DevStats is an agile tool designed to enhance team visibility and performance by providing insights into productivity, collaboration, and engineering resource allocation. It helps teams identify slowdowns, optimize workflows, and align their efforts with business goals through comprehensive metrics and analytics. With features like DORA metrics tracking and individual contributor insights, DevStats aims to improve software delivery quality and prevent burnout.
Patrick Collison highlighted at Stripe Sessions 2025 that Stripe achieved an average of 1,145 pull requests completed daily in 2024, with minimal API downtime. This exceptional delivery performance reflects Stripe's advanced engineering culture, emphasizing automation, observability, and a focus on consistently delivering value to users, setting them apart as elite performers in the tech industry.
Launch a secure and scalable Slack bot for Azure support tickets using Azure Container Apps, featuring zero-admin secrets management, RBAC access, and auto-scaling. This guide provides a production-ready blueprint for integrating Slack with Azure support, emphasizing speed, security, and cost efficiency for digital native teams.
The article details a GitHub repository for setting up KubeSolo, a lightweight single-node Kubernetes distribution, through a GitHub Action. It provides features such as automatic installation, configuration, and removal of conflicting container runtimes, making it suitable for CI/CD pipelines and development workflows. The repository includes a quick start guide and troubleshooting tips for users.
This article serves as a comprehensive guide to YAML, exploring its syntax, data types, and common use cases in configuration management, infrastructure as code, and more. It highlights YAML's human-readable format and its widespread use in DevOps tools like Kubernetes and Ansible, providing examples and best practices for effective utilization.
The article advises against scheduling cron jobs to run at 2:00 am or 3:00 am on Sundays due to potential issues caused by daylight saving time changes. It highlights the risk of overlapping jobs and suggests alternatives like setting the server timezone to UTC or advocating for the elimination of daylight saving time.