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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

How CircleCI implemented llms.txt for better AI discoverability

At CircleCI, we’re committed to making our platform work seamlessly with the AI-powered tools that developers increasingly rely on. Our journey into AI integration is focused on creating a robust Model Context Protocol (MCP) server that allows AI assistants to access and understand CircleCI data in real-time. This enables developers to debug build failures, analyze test results, find and fix flaky tests, and improve pipelines using natural language within their favorite AI tools.

XRPL Supply Chain Attack and How to Block it Using Cloudsmith's Enterprise Policy Management

Yet another supply chain attack has surfaced, this time using the xrpl library to sneak through malicious packages. xrpl.js is recognised as the recommended npm library for integrating the XRP Ledger (XRPL) with JavaScript/TypeScript applications, and has over 140k downloads a week.

Database monitoring in Financial Services: why this high-stakes sector requires a scalable, more comprehensive solution

IT and data teams in Financial Services must meet the more exacting demands for data integrity, compliance, performance, high availability and security that are expected in the sector. These demands require a dedicated, comprehensive, and scalable monitoring solution to help teams succeed in this high stakes environment.

See Your Codebase Like Never Before: GitLens 17.1 Revolutionizes Repository Visualization

TL;DR: This release transforms repo, folder, and file exploration with a fully reimagined Visual History, introduces powerful AI explanations for branches and changes, expands enterprise AI provider support, and delivers blazing performance on large repos helping you untangle codebase complexity faster than ever.

Data Sovereignty Demystified: What You Need to Know

As data continues to flow across borders, understanding data sovereignty is more important than ever. Kunal Kushwaha, explores the laws and regulations governing data storage and transfer, and the implications of data sovereignty in the UK and India. Learn how data sovereignty affects individuals, businesses, and governments, and discover the challenges and opportunities that arise from it. For organizations looking to maintain control over their data, Civo offers Sovereign Cloud solutions in the UK and India.

SOC 2 Type 1 Compliance: Netdata is committed to Security and Trust

We are pleased to announce that Netdata has successfully achieved SOC 2 Type 1 attestation! Following an independent examination performed by AssuranceLab CPAs LLC, the report confirms that—as of April 25, 2025—the design of Netdata’s controls meets the Security, Availability, and Confidentiality Trust Services Criteria defined by the AICPA. At Netdata, the security and integrity of the monitoring data our users entrust to us are paramount.

Navigating the Cloud: Jonathan Staff on Cost, Flexibility, and the Future of Hybrid | Uplink Ep. 6

Cloud costs are climbing, and optimization isn’t always enough. In this episode, Jonathan Staff, Head of Private Cloud at Macquarie Cloud Services, explores how organizations are managing the growing complexity of cloud services. He shares his perspective on cost management, the role of hybrid cloud in balancing efficiency and flexibility, and the impact of AI on infrastructure planning.

30 Cloud Computing Tools To Simplify Cloud Management

Cloud computing empowers organizations to access IT resources on demand, over the Internet, and on a pay-per-use basis. Thus, your company does not need to purchase, install, operate, and upgrade hardware for physical data centers. Instead, you can rent resources as needed from cloud service providers such as Amazon Web Services (AWS). For instance, AWS provides compute, storage, database, networking, machine learning, data lake, analytics, security, and IoT resources/services.

How to set up chaos engineering in your CI/CD pipeline with CircleCI and Chaos Toolkit

Distributed architecture is increasingly being adopted in current software systems because it brings great scalability and flexibility, keeping them resilient under real-world conditions, Unfortunately, this new distribution also introduces new points of failure in the systems. Traditional testing methods are no longer enough; they focus only on whether a system works, not on whether it keeps working under stress or failure. That is where chaos engineering comes in.