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Exoprise
We help you find and fix issues with your cloud apps fast. Exoprise is the leading solution provider for monitoring SaaS services like Microsoft 365, Box, Dropbox, Salesforce.com and more.
Sematext
Monitoring, log management, transaction tracing, and real user monitoring. Finally together!
NiCE IT Mgmt
From databases to servers, communication systems, operating systems and custom applications, NiCE provides the right application monitoring solutions and services.
Monitive
Monitive is an uptime monitoring service, where users sign up and input their website address, which we check every minute, from a random location around the world, and instantly notify them when their site is down.
EventSentry
EventSentry is an award-winning Hybrid SIEM which features real-time log, system health and network monitoring to proactively monitor networks and preemptively respond to threats.
ManageEngine
ManageEngine crafts comprehensive IT management software with a focus on making your job easier. Our 90+ products and free tools cover everything your IT needs, at prices you can afford.
Raygun
Raygun is a Software Intelligence Platform that gives companies visibility into software problems. Errors, crashes and slow loading pages and scripts affecting end users are automatically detected, enabling teams to build excellent user experiences.
Shipped: Catch the runaway agent while it's still running.
AI spend has no ceiling. An engineer can burn $5,000 in an hour, and a team that spins up an agent on Friday can loop it on a bad prompt all weekend. You find out when the bill lands: the money is already gone, the damage pieced back together from logs. Cloud spend had a natural limit. Tokens don’t. Now you see it as it happens. Connect a source and the calls stream in within seconds. Within minutes they’re broken out by model, provider, agent, and user.
Claude Mythos pricing in 2026: Fable 5 costs, Mythos 5 costs, and what every model actually runs
Claude Mythos is now available to the public through Claude Fable 5, released June 9, 2026. Claude Fable 5 pricing is $10 per million input tokens and $50 per million output tokens, exactly 2x Claude Opus 4.8 ($5/$25). Claude Mythos 5 (the restricted Project Glasswing version) has identical pricing. Prompt caching cuts input spend by 90%. Batch API pricing is $5/$25 (50% off). In April 2026, Anthropic announced a model it said was too dangerous to release.
Agent Hooks + Chunk sidecars: Stop Broken AI Code Before It Hits CI
AI agents write code fast, but the feedback loop usually can't keep up. In this tutorial, you'll see how to wire Chunk sidecars into your agent's hooks so basic failures get caught before they ever reach your CI pipeline. We'll walk through the two hooks that chunk init writes automatically: Both hooks return exit 2 on failure, blocking the commit or keeping the turn open so the agent can fix its own mistakes with no manual prompting required.
The engineers who handle change best aren't keeping up with every tool
Hywel Carter on the mental model that travels with you no matter what ships next.
Canvas, MCP, and Claude: How Liz Fixed Three Bugs During a Conference
In this demo, Liz and Kale talk through a slow query that Liz couldn't get out of her head. During a conference, she set out to solve it... and ended up finding two more bugs to fix with, Honeycomb MCP, and Honeycomb Canvas.
Nathen Harvey: Scale Brilliance, Not Bottlenecks: Building Platforms for the AI-First World
Watch Nathen Harvey's full talk at O11yCon 2026, Honeycomb's observability conference, and enjoy Christine Yen's intro as well.
Mock your backend dependencies in 2 minutes
Stop letting broken downstream dependencies kill your workflow. Use proxymock to record backend data and inbound calls, then flip on a mock whenever a system goes offline. You can even replay traffic to test your code changes and ensure your endpoints are still working perfectly.
Stop Letting Bad Data Break Your App #speedscale #mocking #api #vibecoding #devops
Click the link below to mock your backend dependencies in under 2 minutes.
Five Principles of an Accountable AI Agent Network: How to Evaluate Any Governance Platform
The first post in this series argued that AI agent governance hasn’t kept pace with deployment. The second laid out the five pillars of accountability, and what is required. The third walked through why network policies, API gateways, MCP/A2A protocols, DIY security patterns, and Role-based Access Control (RBAC) each leave critical accountability gaps. So what does good look like? The five pillars define what AI agent accountability requires.
A field guide to the agents in your cluster
You know every service in your cluster by name. You know which team owns each one, what it talks to, how it scales, where its logs go. The agents are a different story. That’s not a criticism, it’s an observation, and it’s one we keep running into. Every company we talk to is shipping agents of some kind, from scales of 10s to 1000s. Customer service bots that field tier-one tickets. Internal copilots that draft emails and summarise meetings and write the boring half of every PR.