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sumologic

The architecture advantage: Why the data layer decides the AI race

Mar 10, 2026 By David Girvin In Sumo Logic
Dozens of startups are sprinting to build the next “agentic SIEM” that can autonomously detect, investigate, and respond to threats. They’re well-funded, well-marketed, but structurally hollow. Here’s what it usually looks like: an LLM layer on top of a thin orchestration engine on top of fragmented or customer-hosted data lakes. While it looks impressive in a demo, it quickly falls apart in production. Why? It’s not built on a strong foundation.
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GitKraken Explains: How AI is Changing Your Commit History

Mar 10, 2026 By GitKraken In GitKraken
AI commit message generation is fast, accurate, and consistent. It's also missing the most important thing: the why. AI-assisted Git workflows can summarize a diff in seconds, but they optimize for description, not decision-making. In this video, we break down what AI commit messages do well, where they fall short, and how to use them without quietly erasing the context future teammates (and future you) actually need.
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rollbar

Root Cause Analysis in Software Testing: Methods, Techniques, and How AI Is Changing the Game

Mar 10, 2026 By Rollbar In Rollbar
If you've ever fixed a bug only to watch it come back two weeks later, you already understand why root cause analysis matters. Patching symptoms feels productive - it's not. Getting to the actual cause is what prevents the same issue from eating your team's time over and over again. This guide covers everything you need to know about root cause analysis (RCA) in software testing: what it is, how to do it, which tools help, and where AI is taking it next.
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Meet the new Cribl Search: Faster investigations with AI

Mar 10, 2026 By Cribl In Cribl
Get a quick look at the new Cribl Search experience—built to help teams investigate faster, onboard data easily, and get answers from their logs without complex query languages. In this quick overview, we show how Cribl Search helps you move from raw data to insights in minutes: The result? Faster investigations, simpler workflows, and powerful AI-assisted analysis across your telemetry. Learn how the new Cribl Search makes exploring and analyzing data easier for everyone—from experienced analysts to teams just getting started.
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What is AI really going to bring to the table when it comes to migration?

Mar 10, 2026 By Elastic In Elastic
Explore the real capabilities and limitations of AI in system and SIEM migrations. Learn where AI accelerates processes and where human review remains essential. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
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civo

How Techdome accelerates AI-led product delivery with Civo Kubernetes

Mar 10, 2026 By Emma Stewart-Oram In Civo
Accessing cloud infrastructure shouldn’t slow down product innovation. Yet for many engineering teams building AI-driven platforms, traditional hyperscalers often introduce unnecessary complexity, high costs, and slow provisioning cycles. At Civo, we’ve seen a different approach emerge. Our cloud platform enables teams to move faster with Kubernetes, compute, and networking designed for simplicity and speed.
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upsun

The data context gap: an evaluation guide for agent-ready infrastructure

Mar 10, 2026 By Upsun In Upsun
Why do AI agents that look brilliant in a sandbox fail the moment they hit production? For platform leaders, the answer is a lack of environmental parity: the ability to interact with the exact data state and service topology where the actual bugs live. When an agent attempts to modify a schema, optimize a query, or reproduce a bug without access to the real-world data state, it hits the Data Context Gap.
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How AI-Powered Wellness Platforms Are Reshaping HR and Employee Well-Being

How AI-Powered Wellness Platforms Are Reshaping HR and Employee Well-Being

Mar 10, 2026 By OpsMatters In OpsMatters
As hybrid work continues to redefine how organizations operate, companies are increasingly turning to artificial intelligence to support not only productivity but also employee well-being. Businesses are realizing that technology can play a major role in protecting the mental and physical health of their teams while also strengthening overall organizational performance.
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honeycomb

Create a Custom Service Health Board With the Honeycomb MCP

Mar 9, 2026 By Jessica Kerr (Jessitron) In Honeycomb
Your software is sending data to Honeycomb. Now where is the dashboard you want? The best dashboard is one created just for your application, or your service, or your team. You can get that in minutes with the Honeycomb MCP. Open your coding agent in your IDE, or on the command line in your code repository. Configure the Honeycomb MCP and authenticate with Read and Write permissions. Now tell it what you want. You can be high-level: Make me a service health board for the frontend service.
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datadog

Four ways engineering teams use the Datadog MCP Server to power AI agents

Mar 9, 2026 By Bowen Chen In Datadog
Since the Datadog Model Context Protocol (MCP) Server first launched in Preview, Datadog has experienced an overwhelming amount of interest and feedback from customers. We appreciate those who requested access to test our product, provided feedback, and shared their stories of how the MCP Server helped them overcome engineering challenges.
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