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Undo Enables AI Agents to Diagnose Root Cause of Application Issues

Undo today revealed that its platform for recording interactions within applications can now be accessed by artificial intelligence (AI) agents via a Model Context Protocol (MCP) server. Company CEO Greg Law said this Undo AI capability makes it simpler for any agent to discover the root cause of any issue that otherwise would have required weeks or months to discover. That capability is now more critical than ever at a time when AI tools are generating massive amounts of code that is overwhelming the ability of humans to actually review, he added. The Undo platform records the complete execution of a program, including every instruction, variable, thread event and system call. That approach captures causality in a way that is deeper than what can be diagnosed solely by relying on log analytics and traces, said Law. An AI agent can then query the recording in the same way they reason about static code to determine exactly how an application functions, he added. Armed with those ins...
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Microsoft Brings the Azure SDK for Rust to General Availability

Microsoft has moved the Azure SDK for Rust out of beta and into general availability, giving Rust developers a stable, production-ready way to connect to core Azure services. The release covers Core, Identity, Key Vault (Secrets, Keys, and Certificates), and Storage (Blobs and Queues), built around the same design patterns already used in the .NET, Java, JavaScript, Python, Go, and C++ SDKs. The announcement came as part of Microsoft’s May 2026 Azure SDK release, and was detailed separately in a post from Ronnie Geraghty, product manager for the Azure SDK. He framed the milestone with a simple scenario: a Rust service that signs in with Microsoft Entra ID, retrieves a signing key from Key Vault, pulls work items from a Storage Queue, and writes the results to Blob Storage. Every piece of that chain is now stable. That stability matters more than it might sound. A beta SDK is fine for experimentation, but most engineering teams won’t put it in front of production traffic. W...

Salesforce vs Dynamics 365 CE DevOps: A Practical Comparison for Enterprise Teams

Most organizations running CRM platforms eventually face the same challenge: how to deploy changes safely, consistently, and quickly. While Salesforce and Dynamics 365 Customer Engagement (CE) support modern DevOps practices, they approach application lifecycle management differently. Understanding these differences can help teams design more effective deployment pipelines and avoid common release issues. As these platforms become increasingly critical to business operations, the need for effective DevOps practices has grown significantly. Unlike traditional software applications, CRM platforms combine configuration, metadata, security models, workflows, integrations, and custom code into a single ecosystem. A deployment rarely consists of code alone. It often includes business processes, user interface changes, security updates, automation rules, and integration modifications. This creates a unique challenge for DevOps teams. A seemingly small change can affect multiple business func...

Newly Appointed CloudBees CEO Charts Agentic AI Engineering Course

The newly appointed CEO of CloudBees, Mo Plassnig, says that as the agentic artificial intelligence (AI) era dawns, the time has come to reinvent software engineering in a way that moves beyond human-centric tooling. Plassnig, who earlier this month succeeded Anuj Kapur, joins CloudBees from Immuta, a provider of a data security and governance platform, where he served as chief product officer. However, Plassnig was also one of the founders of Codeship, a provider of a hosted continuous integration and continuous delivery (CI/CD) platform that CloudBees acquired in 2018. As the way applications are built and deployed fundamentally changes, DevOps workflows will need to evolve to accommodate massive amounts of code that is being generated by both professional developers and, increasingly, so-called citizen developers, said Plassnig. In fact, writing code is no longer a constraint, he added. Before too long, end users will routinely express an intent that will be converted into a set ...

CData Gives Developers Free Access to the Data Layer That IT Already Trusts

Most enterprise AI projects don’t fail because of the model. They fail because getting clean, governed access to production data is slow, political, and manual. Every new data connection requires IT involvement. Every new agent adds more surface area to manage. And every developer who goes around IT creates a new problem for someone else to clean up later. CData is trying to fix that with three new releases aimed directly at developers: Connect AI Developer Edition (free), the CData Connect AI Python SDK (open source), and CData CLI. The announcement, set for June 23, reflects a deliberate shift in how CData positions its platform. The company has been building enterprise data connectivity since 2014, starting with a driver catalog that let developers query Salesforce, Workday, Oracle, and hundreds of other systems through standard interfaces like JDBC and ODBC. Connect AI is the modern version of that same core capability, packaged as a SaaS product with MCP support, governance...

Ten Great DevOps Job Opportunities

DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers. Of course, the pool of available DevOps talent is still relatively constrained, so when one DevOps professional takes on a new role, it tends to create opportunities for others. The ten job postings shared this week are selected based on the company looking to hire, the vertical industry segment and naturally, the pay scale being offered. We’re also committed to providing additional insights into the state of the DevOps job market. In the meantime, for your consideration. Greenhouse Skylight Remote, US Senior DevOps Engineer $150,000 to $185,000 Relativity Space Long Beach, CA Senior DevOps Engineer $140,000 to $196,000 Raft Honolulu, HI Senior DevOps Enginee...

The New Convergence: How Value Stream Mapping is Rewiring Product, Platform and DevOps for 2026 and Beyond 

For years, organizations have tried to improve speed, quality, and customer experience by layering frameworks on top of frameworks —Agile for iteration, DevOps for automation, ITIL for service stability, TOGAF for architecture, Lean for waste reduction. Each helped, but none solved the core problem: Work still doesn’t flow. In 2026, the most competitive organizations are converging on a different approach—one that doesn’t start with frameworks at all. It starts with value streams. Value Stream Mapping (VSM) has re-emerged as the connective tissue that unifies product management, engineering, operations, and architecture into a single, end‑to‑end system of flow. And the results are no longer theoretical. Across industries, and while only as a generalization, many tools, such as DORA et al , teams using VSM as their operating backbone are seeing results such as: 25–30% faster time-to-market 20–40% reductions in waste and rework 2–4x increases in deployment frequency Material...