%term

Introducing Harness AgentTrace: An Observability and Guardrail Framework for AI Agents | Harness Blog

Jul 21, 2026 By Sunil Gattupalle In Harness

AI agents fail differently from the software we spent the last two decades learning to monitor. We hear some version of the same story from teams shipping agents to production: an agent starts producing wrong answers. Not obviously broken: confident, well-formatted, plausible wrong. The logs are clean, latency looks healthy, and error rates sit at zero. Nothing flags a problem. A user eventually does.

Read Post

Harness

Read more about Introducing Harness AgentTrace: An Observability and Guardrail Framework for AI Agents | Harness Blog

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.

Read Post

Hyperping

Read more about MCP for SLA Monitoring: Uptime, MTTR & MTTA

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.

Read Post

Ribbon

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

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.

View Video

Harness

AI
DevOps

Read more about Introducing Harness Agent DLC: Extending your SDLC to AI Agents

Spike's MCP is here

Jul 21, 2026 By Spike - incident response platform In Spike

Connect Spike to Claude, Cursor, or any MCP-compatible tool and manage incidents through natural language. Ask your AI what's critical. Tell it to acknowledge an outage. Have it build an on-call schedule. Spike is now wherever you work.

View Video

Spike

Read more about Spike's MCP is here

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.

Read Post

Lightrun

Read more about SDLC Phases and the Reliability Gap AI Can't Close

Is AI about to kill every SaaS company?

Jul 21, 2026 By Megaport In Megaport

Webflow CEO Linda Tong pushes back on the narrative everyone’s been repeating this year.

View Video

Megaport

Read more about Is AI about to kill every SaaS company?

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.

View Video

Sumo Logic

Read more about I'll have my AI agent call your AI agent: Battle for your digital hub

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.

Read Post

Hyperview

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

AI's Role in Enhancing Digital Commerce Operations

Jul 21, 2026 By OpsMatters In OpsMatters

Artificial intelligence is quickly becoming a must-have for digital businesses, not just a nice-to-have. For companies looking to sharpen their operations, AI offers powerful ways to predict what's next, smooth out customer interactions, and keep transactions safe. It's not about replacing people, but giving them better tools. This lets teams focus on big-picture strategy while AI crunches data and automates tasks. This shift is changing what's possible in terms of how efficient a business can be, how happy its customers are, and how much it can grow.

Read Post