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hyperping

MCP for SLA Monitoring: Uptime, MTTR & MTTA

Jul 21, 2026 By Leo Baecker In Hyperping
MCP for SLA monitoring gives an AI agent direct access to measured uptime, mean time to resolve (MTTR), mean time to acknowledge (MTTA), outages, and reliability risks. With Hyperping, you can ask Claude, Cursor, Codex, or another MCP client for an SLA report and get an answer based on your live monitoring data instead of copying numbers between dashboards. The distinction between monitoring data and SLA compliance matters. Hyperping measures availability and incident response.
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ribbon

Optical Freedom in the Age of AI: Why Thin Transponders Are Reshaping Optical Network Design

Jul 21, 2026 By Mitch Simcoe In Ribbon
AI is driving the next wave of digital transformation, but it is also creating an unexpected challenge for network operators: optical capacity is becoming a strategic bottleneck. The same AI boom fueling billions of dollars in data center investment is placing unprecedented demand on optical networking infrastructure.
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Introducing Harness Agent DLC: Extending your SDLC to AI Agents

Jul 21, 2026 By Harness In Harness
Harness Agent DLC: Ship AI Agents to Production Safely Building an AI agent is easy. Getting one into production safely is where teams get stuck. Harness Agent DLC extends the software delivery lifecycle to AI agents, giving teams a clear path to evaluate, deploy, secure, observe, and optimize agents in production. Learn more: Because agents dynamically choose their own tools, APIs, and actions, their behavior can change every time they run. Harness Agent DLC gives engineering teams the controls needed to move beyond experiments and operate agents safely at scale.
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lightrun

SDLC Phases and the Reliability Gap AI Can't Close

Jul 21, 2026 By Lightrun Team In Lightrun
Decisions in each SDLC phase from planning to design, development, testing, deployment, and maintenance are made without sight of live production behavior. AI coding agents are widening that visibility gap faster, working faster than human engineers ever could. This piece maps exactly how this gap presents at each phase, and the harm that this brings.
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I'll have my AI agent call your AI agent: Battle for your digital hub

Jul 21, 2026 By Sumo Logic, Inc. In Sumo Logic
On this episode of Masters of Data, we unpack what it actually means to expect AI to be the primary interface for everything we do. We dig into the pull toward centralizing work in a single hub like Claude versus staying spread across specialized tools like Slack, Asana and Zoom, and where the line sits between helpful automation and letting an agent speak on your behalf. We also get into the "chief of staff" agent workflow for daily roundups and why specialized, best-of-breed tools aren't going anywhere, even as hubs get smarter.
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hyperview

Actionable Intelligence, Not Artificial Intelligence: What AI in Data Center Management Actually Requires

Jul 21, 2026 By Jad Jebara In Hyperview
“AI-powered” has become a marketing label applied to almost any data center software feature. A more useful and precise term is actionable intelligence — a four-level maturity model (descriptive, diagnostic, predictive/prescriptive, and cognitive) that shows whether a platform’s AI claims are backed by real data infrastructure or just a chatbot layered on top of an incomplete system.
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Alloy Software

AI-Assisted Documentation Search Goes Conversational

Jul 21, 2026 By Anna Markova In Alloy Software
Conversational AI has arrived in Alloy Software documentation, making it easier to find the exact answers you need. Ask a question, follow up naturally, and refine the response until you reach the right instructions or product details, without starting over or digging through pages. The redesigned experience keeps the conversation in context and lets you go as deep as you need.
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