Operations | Monitoring | ITSM | DevOps | Cloud

Context is King #5 - A Semantic Layer for the Agentic Era

Jun 12, 2026 By Aiven In Aiven
Agents are only as good as the queries they can run. In this talk from Context is King in London, Egor Kraev (Co-Founder & CTO of Motley) breaks down how a well-designed semantic layer becomes the connective tissue between natural language intent and reliable data retrieval. Context is King is a meetup series co-organized by Flow AI and Aiven for engineers shipping AI agents in production. No pitches — just real implementation stories.
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Context is King #5 - Ontologies as Executable Context for AI Agents

Jun 12, 2026 By Aiven In Aiven
Can a knowledge graph do more than store facts — can it actually run your agent? In this talk from Context is King in London, Teodoro Baldazzi (Principal AI Engineer at Prometheux) makes the case for ontologies as executable context: structured knowledge that doesn't just inform AI agents, but actively shapes how they reason and act. Context is King is a meetup series co-organized by Flow AI and Aiven for engineers shipping AI agents in production. No pitches — just real implementation stories.
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signl4

Automated Alerting: Stop Losing Money to Delayed Notifications and Inefficient Alerting Workflows

Jun 12, 2026 By SIGNL4 In SIGNL4
When incidents are not addressed – or not addressed quickly enough – businesses incur significant costs. Mean Time to Resolution (MTTR) increases. In the worst cases, the financial impact extends beyond your organization to customers and partners. Automated alerting reduces response times and notifies the right people when action is needed.
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signl4

Stop Missing After Hours Calls with SIGNL4 Call Routing

Jun 12, 2026 By SIGNL4 In SIGNL4
Many teams invest time building an on-call rotation, but inbound calls often ignore that structure completely. A support number forwards to a single phone. One engineer ends up taking every call. Sometimes the call goes unanswered and the voicemail lands in a shared mailbox that nobody checks until the next morning. Even worse, the team might have several engineers on duty, but the phone system has no awareness of who is actually responsible at that moment.
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eg innovations

Your Monitoring Stack Wasn't Designed. It Was Procured.

Jun 12, 2026 By John Williams In eG Innovations
The 2am war room hasn’t gone anywhere. Ten years after Gartner coined the term AIOps, the platforms are bought, the licenses are renewed, the dashboards are live — and serious incidents still get resolved by engineers paging across multiple consoles, trying to work out where the fire actually is. MTTR has barely moved. Alert fatigue hasn’t eased. The outcomes the category promised, in most enterprises, have not arrived. Matt Lowe’s recent article on AIOps names the shortfall well.
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civo

How to monitor and optimize GPU utilization in the cloud

Jun 12, 2026 By Civo Team In Civo
GPU utilization is one of the most expensive metrics in cloud infrastructure to get wrong. A GPU running at 30% utilization costs the same as one running at 90%, but it's doing a third of the useful work. For workloads measured in tens of thousands of GPU-hours, the difference between average utilization in the 30s and average utilization in the 70s is hundreds of thousands of dollars across the life of the workload.
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obkio

How to Troubleshoot High CPU Usage on Network Devices

Jun 12, 2026 By Andrii Kernitskyi In Obkio
Most network teams only find out their firewall is overloaded after users start complaining. A slow VPN, dropped calls, and random packet loss at 2 pm every day. The usual suspects get blamed first: the ISP, the switch, the application server. The firewall gets a pass because the dashboard says 40% CPU and everything looks fine. Here is the problem with that picture. Standard SNMP monitoring polls every 5 minutes. A CPU spike that peaks at 95% and recovers within 90 seconds never shows up.
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lightrun

Why Your Agentic Workflow Succeeds and Still Gets It Wrong

Jun 12, 2026 By Lightrun Team In Lightrun
Agentic workflows are reshaping how engineering teams operate, fetching context, synthesizing decisions, and shipping results across systems without human intervention. But the same design that makes them powerful adds risk in production. Agents do not crash when they hit bad data; they synthesize around it, substituting a stale value, an empty page, or a missing field for the result they were supposed to capture.
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cloudzero

Shipped: You're emitting AI telemetry. Point it at an engine that turns it into allocated spend.

Jun 12, 2026 By Scott Castle In CloudZero
Your AI calls already emit OpenTelemetry: your LLM gateway exports it, and it’s the open standard your own services can speak. But you don’t have anywhere to turn those spans into spend you can allocate to an outcome. Now you can. CloudZero exposes an OpenTelemetry endpoint that doesn’t care what’s on the other end.
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