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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...
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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 ...
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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...
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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...
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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...
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NVIDIA Research Bets on Code, Not Tool Calls, to Fix AI Spatial Reasoning

NVIDIA Research has released SpatialClaw, an open-source framework that rethinks how AI agents handle one of the hardest problems in computer vision: Determining where things are in physical space. The project, published by NVIDIA’s research labs and hosted on GitHub under the NVlabs account, targets a long-standing weakness in vision-language models, or VLMs. These models are good at describing what they see, but they tend to struggle with the geometry of a scene: How far apart two objects sit, which way something is facing, or how an object moves across multiple video frames. SpatialClaw doesn’t try to retrain a model to fix that. Instead, it changes the interface the agent uses to reason about space. Code as the Action, Not a Tool Call Most spatial reasoning agents today take one of two approaches. Some commit to a single pass of code execution before seeing any results, locking in a strategy upfront. Others rely on a fixed set of structured tool calls, which limits ho...
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What Five Localization Pull Requests Revealed About Open Source Governance: A Field Report on Open Source’s i18n Infrastructure Gap 

A bot recently approved one of my Pull Requests (PRs) with the cleanest possible verdict: “No Issues Found — Recommendation: Merge.” The story did not end there.   Weeks later, a maintainer finally reviewed the contribution. By then, the parts of the repository targeted by the localization work had been removed as the project evolved. The PR was closed, not because the translation was incorrect, but because the review arrived after the underlying code structure had changed.   That outcome highlights a broader challenge in open source internationalization (i18n). The problem is often not translation quality. It is the absence of processes that allows language contributions to be evaluated, routed, and integrated before project evolution overtakes them.   Translation is Not the Hard Part   When people hear “i18n,” many maintainers think it means “drop a JSON file in.” That is not what it involves. Internationalisation is a system: stable keys, defined fallback behaviour, plural rules...
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