Operations | Monitoring | ITSM | DevOps | Cloud

cloudzero

FinOps For Claude: Your Strategy For Managing Claude API And Anthropic Costs At Scale

Aug 28, 2025 By Keith MacKenzie In CloudZero
Anthropic’s Claude is one of the most powerful and developer-friendly large language models (LLMs) available. But as usage grows, so does cost. Here’s the reality: A single unoptimized development loop or unmonitored QA job can multiply costs 10x overnight. Most teams experimenting with Claude lack the visibility and guardrails needed to prevent runaway costs, especially once usage moves from R&D into production.
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sentry

The core KPIs of LLM performance (and how to track them)

Aug 28, 2025 By Sergiy Dybskiy In Sentry
A few months ago, I built an MCP server for Toronto’s Open Data portal so an agent could fetch datasets relevant to a user’s question. I threw the first version together, skimmed the code, and everything looked fine. Then I asked Claude: “What are all the traffic-related data sources for the city of Toronto?” The tool call fired. I got relevant results. And then I hit an error: “Conversation is too long, please start a new conversation.” I had only asked one question.
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gremlin

How to get fast, easy insights with the Gremlin MCP Server

Aug 28, 2025 By Gavin Cahill In Gremlin
Chaos Engineering and reliability testing give you visibility into the actual reliability of your services by simulating real-world failure conditions. But what if you could dig into the testing and results data using AI to quickly uncover new insights? That’s the logic behind the Gremlin MCP Server. Released as part of Reliability Intelligence, the Gremlin MCP Server allows you to bring your LLM of choice to explore your Gremlin data and find opportunities to get more out of Gremlin.
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Scientific Laboratory Supplies: The Impact of Technological Evolution in R&D

Scientific Laboratory Supplies: The Impact of Technological Evolution in R&D

Aug 28, 2025 By OpsMatters In OpsMatters
Technological revolution has impacted numerous sectors. Its impact on Research and Development is especially transformative. Intelligent laboratories are a pioneer in integrating state-of-the-art technologies. Intelligent laboratories are reshaping Research and Development processes, enhancing automation, precision, and traceability. This piece of content explores how technological evolution is transforming Research and Development at modern labs and the wide implications for the scientific laboratory supplies.
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selector

AI That Knows Networking: Selector vs. Generic GPT Integrations

Aug 27, 2025 By Dallon Robinette In Selector
The hype around generative AI has led many IT teams to experiment with plugging generic GPT models into their workflows. On paper, this is the beginning of true AI networking, featuring conversational interfaces, instant summaries, and faster troubleshooting. However, as we discussed in the previous post, “Why Your IT Copilot Needs Context, Not Just Data,” copilots are only as effective as the intelligence behind them.
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qoddi

Introducing AppJet.ai : a GitHub-native AI that codes full-stack from prompt to deploy

Aug 27, 2025 By Qoddi In Qoddi
If you ever tried any vibe-coding tool on the market you know they are mostly supercharged NodeJS code editor, full of pre-made components and often unable to really understand your existing code base. We created AppJet for a simple reason: AI is now at a maturity point where it can realistic to use it as a real coding companion.
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signoz

Full-Circle Observability: Using SigNoz to monitor a LangChain agent that queries SigNoz MCP

Aug 27, 2025 By Goutham Karthi In SigNoz
In Part 1 of this series, we explored how to instrument a LangChain trip planner agent with OpenTelemetry and send telemetry data to SigNoz. By tracing each step of the planning process: LLM reasoning, tool calls for flights, hotels, weather, and activities, and the final itinerary response, we saw how observability turns a black-box agent workflow into a transparent, debuggable system.
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signoz

LangChain Observability: How to Monitor LLM Apps with OpenTelemetry (With Demo App)

Aug 27, 2025 By Goutham Karthi In SigNoz
LangChain has become one of the most popular frameworks for building LLM-powered applications, making it easier to create agents that can reason, plan, and take actions. But like any production-grade AI app, LangChain agents can run into performance bottlenecks, hallucinations, or tool call failures. And without proper LangChain observability, it’s hard to know where things break down.
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Alloy Navigator Walkthrough: Service Desk Customer Perspective

Aug 27, 2025 By Alloy Software In Alloy Software
See Alloy Navigator through your end users’ eyes—whether internal employees or external customers. This quick walkthrough shows how effortless it is to report issues, request IT services, and find answers. Intuitive, multilingual, easy-to-brand interface, so users see it as part of your corporate site Effortless ticket creation and tracking Email and push notifications Build-in knowledge base Role-specific service catalogs Convenient equipment reservations Announcements and one-click approvals Mobile app for end users Smart AI assistant (coming soon)
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datadog

We vibe coded a path tracer: Here's how we used static and dynamic analysis to fix it

Aug 26, 2025 By Bowen Chen In Datadog
When developing software, the longer you intend to keep a system around, the more important it becomes to prioritize its code quality. But as more organizations move toward microservice architectures and adopt agentic AI and LLMs into their development workflows, many engineering teams have increased their emphasis on accelerating developer velocity, often at the expense of code quality. This can often result in code that fails to meet standards for performance, reliability, and security.
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