Global Account Manager

Dynatrace names Carahsoft Public Sector Distributor of the Year for 2026. Company awarded for contributions to expanding Dynatrace's Public Sector presence. RESTON, Va., Oct. 15, 2026 (GLOBE NEWSWIRE) - Carahsoft Technology Corp., The Trusted Government IT Solutions Provider(R), today announced that it has been named 2026 Public Sector Distributor of the Year by Dynatrace, (NYSE: DT), a leading AI-powered observability platform. The award was presented directly to Craig P. Abod, Carahsoft President, at the Carahsoft Conference & Collaboration Center in Reston, VA, and recognizes Carahsoft's exceptional contributions to growing Dynatrace's Public Sector partner ecosystem. "Carahsoft has been an exceptional partner in helping Dynatrace expand our Public Sector presence and strengthen our partner ecosystem," said Mike DeLuca, VP of NORAM Partner Sales, at Dynatrace. "Over the past year, their ability to connect us with key reseller and systems integrator partners, execute collaborative demand generation campaigns and invest in partner enablement has significantly expanded our reach across the Public Sector market. We are pleased to recognize Carahsoft as our 2026 Public Sector Distributor of the Year and look forward to continuing our collaboration in helping Public Sector organizations modernize and secure their mission-critical environments." As Dynatrace's Public Sector distributor since 2023, Carahsoft has continuously worked to expand Dynatrace's Public Sector partner ecosystem and drive demand for its offerings. In 2026, Carahsoft successfully enabled reseller and systems integrator partners, supported strategic go-to-market initiatives and accelerated the adoption of Dynatrace's observability and security solutions across Federal, State and Local Government agencies. Throughout the year, Carahsoft supported Dynatrace with a broad range of impactful sales and marketing initiatives. These efforts included integrated event series focused on Dynatrace's solutions for Log Management and AI Observability, as well as their strategic technology alliance with ServiceNow. Carahsoft was also a sponsor of Dynatrace's flagship PERFORM conference, while Dynatrace participated as the premier sponsor of Carahsoft's Public Sector Reception at ServiceNow Knowledge and returned as an exhibitor sponsor at Carahsoft's DevSecOps Conference for the fourth consecutive year. "We are honored to be recognized by Dynatrace as its 2026 Public Sector Distributor of the Year," said Natalie Gregory, Vice President, managing DevSecOps solutions at Carahsoft. "This award reflects the strength of our partnership and the dedication of our teams to expanding Dynatrace's Public Sector ecosystem through partner enablement, strategic collaboration and innovative go-to-market programs. Together with our reseller partners, Carahsoft and Dynatrace have helped Government agencies gain access to cutting-edge observability and security solutions that support their evolving mission requirements. We look forward to building on this momentum and continuing to deliver value to Dynatrace and our joint customers." Dynatrace's solutions are available through Carahsoft's GSA Schedule No. 47QSWA18D008F, SEWP V contracts NNG15SC03B and NNG15SC27B, ITES-SW2 Contract W52P1J-20-D-0042, NASPO ValuePoint Master Agreement #AR2472 and OMNIA Partners Contract #R240303. For more information, contact the Carahsoft Team at (571) 591-6250 or [email protected]. Explore Dynatrace's solutions here. About Carahsoft Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator(R) for our vendor partners, we deliver solutions for Artificial Intelligence, Cybersecurity, MultiCloud, DevSecOps, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Visit us at www.carahsoft.com.

Contain, observe, adapt: Three trends shaping agentic software development. tldr; As the real-world challenges of running AI agents in production become clear, three themes emerged at Dynatrace is Developers World Congress North America: Agent containment, observability and evaluations, and agent experience. Last month, Dynatrace attended Dynatrace is Developers World Congress North America in San Jose. It was a chance to take the pulse of the developer community. Dynatrace hosted a great reception with The New Stack, shared sessions on AI-assisted development and responsible AI, led a hands-on workshop built around real incidents and real code, and spent two days getting to meet developers at its booth. Three big themes surfaced again and again throughout the week. 1: Agent containment. This wasn't a surprise given reports of agents breaking containment and hacking systems or engaging in other unexpected and unwanted behavior. The headlines tend to point to "rogue agents" and the capabilities of the latest AI models, with some justification. But many cybersecurity experts point to failures of containment and monitoring as central culprits behind the agentic crimewave. So it's little wonder that agent sandboxing was a hot topic. Expanding the utility of agents depends on giving them increased access to tools and capabilities, such as giving them computing environments of their own that they can use to test and run code, access applications, and perform helpful actions for users. Figuring out how to do that safely is one of the highest stakes challenges in AI today. But containment and sandboxes are only one part of the story. You also need to keep tabs on what agents are doing, when they're hitting guardrails, and if they've managed to escape containment. That's where the next big theme comes in. 2: observability and evaluations. A year ago, observability wasn't top of mind for developers. I think it should have been, but I understand why it wasn't. Agents were barely in production and everyone was still figuring why, how, and even whether to use them. Now it's becoming increasingly clear that you can't define predictable agentic behavior during development, so the conversation has shifted towards observing, evaluating, and adjusting agents in production. As Laurie Voss, Head of Developer Relations at Arize, said in his mainstage talk, AI now produces far too much code for human code review. Multiple presenters covered variations of this problem. "If more stuff is getting into production without a human reading it, that means checks for "is it correct" also have to migrate from CI/CD tests to production, and that means evals," Laurie wrote in his recap post. AI evaluations is of course exactly what Arize, the latest member of the Dynatrace family does. There are many pieces of the AI observability puzzle, including mapping infrastructure topologies and correlating different types of data. Across several conference sessions, presenters emphasized production monitoring, evaluations, and timely runtime context. As Bob Wambach, Dynatrace VP of Market and Customer Insights, put it in his talk: "Safety is a runtime property." Understanding what a model does in a live environment is a key part of that work. 3: agent experience. Developer tooling used to be built for humans. That's changing as agents become major users of databases, MCP servers, and APIs. In his conference recap, Laurie noted that Mintlify's Han Wang said automated-agent requests accounted for 67% of traffic to the company's hosted documentation during the period Mintlify measured. Accordingly, Dynatrace is seeing a wave of new interfaces designed for agents. This fits into the first two themes. Agents need carefully scoped access to useful tools and data, including runtime telemetry and evaluation results that can support faster feedback. Earlier this year, Dynatrace introduced BlueBox, an AI agent designed to help other agents access observability and runtime-intelligence context. Laurie recapped a few best practices: serve documentation as clean markdown, expose your interfaces over MCP, include an llms.txt file, and add entry points built specifically for agents. What's still missing. One thing that didn't get much attention: data storage. A few years ago, the rise of vector databases led to much discussion of storage for the AI era. That conversation has settled down as the tooling matures. But I suspect storage will take the stage again as teams continue to struggle with the massive amounts of telemetry data generated by agents and with querying and using heterogeneous data. It's a core architectural concern for AI observability. At Dynatrace, Dynatrace tackle the problem with Grail, its unified data lakehouse. The days of debating whether to use AI coding agents already feel distant. The questions now are how to contain agents, how to observe them in production, and how to design infrastructure for them. The developers getting that right will define the next decade of software. Dynatrace, Grail, and BlueBox are trademarks of the Dynatrace, Inc. group of companies. All other trademarks are the property of their respective owners.