Operations | Monitoring | ITSM | DevOps | Cloud

checkly

Two AI agents, one incident: Rocky AI comes to the terminal

Apr 29, 2026 By Stefan Judis In Checkly
A Playwright Check fails at 2 am. The login flow is broken. Until today, that alert triggered a human to get up, open the Checkly dashboard, copy Rocky AI root cause analysis (RCA), and then tell an agent to get to work. There were two AI agents, one incident, and no way for them to talk to each other. The extended checkly checks and new checkly rca CLI commands close that gap. Your coding agent can now pull Rocky AI's analysis into its ongoing work, read the diagnosis, and go fix the code.
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honeycomb

New in the Honeycomb Academy: Learn to Use the Honeycomb MCP

Apr 29, 2026 By Midge Pickett In Honeycomb
Two things happen when engineers first connect the Honeycomb MCP to their AI assistant. The first is the blank page problem. The Honeycomb UI gives you something to react to: a heatmap, a query builder, a trace to click into. An AI assistant gives you a cursor and nothing else. When you don't know where to start, that's a hard place to be. The second shows up right after you get past the first one. You ask a question, you get a confident-sounding answer, and you're not sure whether to trust it.
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How to Improve Your IT Reliability as a Business Owner

How to Improve Your IT Reliability as a Business Owner

Apr 29, 2026 By OpsMatters In OpsMatters
Running a small company often feels like spinning plates. You handle sales, hiring, and finance, and hoping the computers just work. When the Wi-Fi drops or a server crashes, everything stops. Improving your tech reliability is not about fancy gear. It is about creating a stable foundation for your daily operations.
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Testing AI Image Platforms From The Prompt Up

Testing AI Image Platforms From The Prompt Up

Apr 29, 2026 By OpsMatters In OpsMatters
Many AI image reviews begin at the end: they compare finished images and decide which one looks most impressive. That can be useful, but it misses something important. A finished image is only one part of the experience. The path from prompt to result matters just as much. When I tested AI Image Maker against other major platforms, I focused on how each product handled the full prompt journey, from the first instruction to the final usable image.
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The Role Played by Artificial Intelligence in Product Design Nowadays

The Role Played by Artificial Intelligence in Product Design Nowadays

Apr 29, 2026 By OpsMatters In OpsMatters
Ever since artificial intelligence became the new normal, building products has also taken a completely different form. Before, designers used to depend on guesses and long testing periods. That isn't the case anymore. AI is able to study data, see the patterns in them and suggest better options. It isn't surprising that it has now become a necessity for several companies.
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Why Copilot alone won't fix your business workflows

Why Copilot alone won't fix your business workflows

Apr 29, 2026 By OpsMatters In OpsMatters
Microsoft has been pushing Copilot hard over the past year. Between the rebrand of Office to Microsoft 365 Copilot, the launch of Copilot Tasks, and the more recent arrival of Copilot Cowork, there is a clear message: AI is supposed to handle the heavy lifting. For many businesses, though, the reality is more complicated than the marketing suggests. Copilot is a strong productivity tool within its own ecosystem, but expecting it to fix workflows that span multiple disconnected systems is where things start to fall apart.
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last9

last9-genai: Closing the Conversation Gap in LLM Observability

Apr 28, 2026 By Prathamesh Sonpatki In Last9
OpenTelemetry's GenAI instrumentation gives you spans and token counts. It does not give you conversations, workflow cost rollups, or prompts visible in your dashboard. last9-genai is an OTel extension that fills those three gaps — without replacing your existing observability stack. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.
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Internxt

The Best AI Chatbots of 2026

Apr 28, 2026 By Nathan James Turner In Internxt
AI has since become an integral part of our lives, whether it’s for work or personal use; we all use AI in some form or another. However, deciding which is the best AI depends on how you want to use it. Whether it's for general questions, coding, deep research, or image creation, we’re lucky enough that there is an AI model available to help you out.
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15: Optimizing AI Workloads: Balancing Cost, Performance, and Scalability with Bijit Ghosh

Apr 28, 2026 By Kubex In Densify
In this episode, Andrew Hillier and Bijit Ghosh discuss the evolving landscape of AI, discussing the growing prominence of inference over training, hybrid cloud strategies, balancing cost with performance, and the orchestration of complex hardware environments. The conversation also touches on emerging concepts like AI factories, the challenges of sovereign cloud, and how enterprises are navigating data gravity and regulatory constraints. It's a deep dive into optimizing AI infrastructure, managing costs, and the disruptive changes that are transforming both technology and business outcomes.
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Demo - Selector Platform CoPilot Diagnosis

Apr 28, 2026 By Selector In Selector
See how Selector’s AI Copilot accelerates issue diagnosis in real time. In this demo, watch how natural language queries and AI-driven insights help teams quickly analyze incidents, surface root cause, and understand impact - without digging through multiple tools. Instead of manual investigation, Selector guides operators to answers faster, reducing noise and speeding up resolution. Built for network and operations teams who need clarity, speed, and smarter troubleshooting.
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