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I let Claude investigate a production incident with Honeybadger's MCP server

Feb 24, 2026 By Honeybadger In Honeybadger
In this demo, Kevin shows how you can use Honeybadger's MCP server with Claude to investigate a production incident — going from a natural language prompt to a complete incident dashboard in minutes. Honeybadger is an application health monitoring platform that helps developers catch errors, track performance, and stay on top of incidents. The MCP server lets AI assistants like Claude query your Honeybadger data directly, so you can investigate issues conversationally without digging through dashboards manually.
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Secure by Design : Defend against AI-driven threats

Feb 24, 2026 By Ivanti In Ivanti
After several zero-day attacks on leading security vendors that left the industry reeling in 2024 and 2025, Ivanti redoubled our commitment to transparency, product development that prioritizes security and community awareness. The attacks galvanized our Secure by Design framework so that we could accelerate our transformation to kernel-level security — compressing a three-year roadmap into just 18 months.
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datadog

Measure and improve mobile app startup performance with Datadog RUM

Feb 24, 2026 By Jessica Manheimer In Datadog
Mobile app users form opinions quickly. A slow or inconsistent startup experience can frustrate them before they reach the first screen, increasing the likelihood that they abandon the app or fail to complete key actions such as signing up or making a purchase. However, app teams often lack reliable signals that explain why startup performance varies, making it difficult to improve the user experience.
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ivanti

How to Implement an AI Governance Framework Using Safe, Ethical and Reliable AI Guardrails

Feb 24, 2026 By Brooke Johnson In Ivanti
In my time at Ivanti, I've witnessed firsthand how AI acts as a force multiplier across enterprise organizations. When deployed strategically, AI accelerates decision-making and operational execution at scale in a way that teams simply can't sustain manually. However, without clear and enforceable AI guardrails, implementing AI opens organizations up to serious new risks.
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upsun

AI infrastructure cost optimization for scaling teams

Feb 24, 2026 By Upsun In Upsun
This post is also available in German and in French. The 2026 AI landscape has shifted from "Can we build it?" to "How much will it cost to run it?" For CTOs and engineering leaders, the challenge is no longer just model performance: it is the underlying infrastructure sprawl that silently erodes margins. When AI workloads scale, they often inherit the inefficiencies of legacy cloud models: over-provisioned instances, fragmented data pipelines, and a lack of unified context.
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