Operations | Monitoring | ITSM | DevOps | Cloud

Introducing the redesigned deployments experience

You shouldn’t have to hunt through a cluttered dashboard to understand where your code is deployed. The Deployments page is where teams turn for a quick answer: what is in test, what is in staging, what reached production, and what needs attention right now. The older page made that harder than it needed to be. Our new Pipelines Deployments page makes it easier to scan, filter, and act on.

AI agent cost: what agents really cost to run

AI agent cost in 2026 is mostly a consumption bill, not a subscription. Running an agent costs anywhere from fractions of a cent for a simple routed task to $5 or more for a complex multi-step job, because one request can trigger 3 to 10 model calls behind the scenes. Average production deployments land between $3,200 and $13,000 per month in operational spend. Here is where that money actually goes.

Shipped: Stop guessing why that billing connection exists

Every team with more than a few data connections has had this moment: someone opens the connections list, points at one, and asks “what is this for?” The answer lives in a former teammate’s head or in a Slack thread. And cleaning up the wrong connection can break cost ingestion. Now each connection can carry a note that explains why it exists, and anyone who opens the connection sees it.

AI Model Drift: How to Keep Models Reliable

AI model drift is when an AI system's performance and accuracy degrades over time because the data, user behavior, or business environment has changed since the model was trained or evaluated. Even if latency, uptime, and infrastructure metrics remain healthy, model quality can quietly decline, leading to less accurate predictions, inconsistent responses, and reduced user trust.

AI can't correlate what was never standardized

Steve Flanders (Senior Director of Engineering, Splunk) makes the case that AI can't save an observability stack that never agreed on a standard. Mix formats across metrics and logs, and AI stops correlating and starts guessing, which means you either make the wrong call or miss the answer you actually needed. OpenTelemetry is one fix, but Prometheus and Fluentd work too. The standard matters more than which one you pick.

What is Network Intelligence? A Guide for IT Teams

"This is the third slowdown at the regional offices this quarter. What is actually causing it, and what will it cost us to stop?" Questions phrased like that come from a business head rather than an engineer, and a dashboard screenshot will not answer them. Most network operations groups can produce evidence that something happened. Producing an explanation of why it happened, in language a finance director will accept, takes hours of manual correlation across separate consoles.

What Is Cybersecurity Compliance? Frameworks and Requirements

Most IT teams are asked to meet more than one security framework at once. Almost nobody gets more budget or more people to do it. That is the real shape of cybersecurity compliance. A sales deal needs SOC 2, a hospital contract drags in HIPAA, and card payments put PCI DSS on top of both. Each one arrives with its own auditor, its own vocabulary, and a deadline somebody set without asking you. So the same controls get built three times over.

What Is OTN?

The Optical Transport Network (OTN) is a widely deployed industry-standard protocol that provides a comprehensive framework for multiplexing, switching, and transporting diverse digital payloads over optical fiber. Modern service providers face growing pressure to consolidate diverse traffic types. OTN acts as a universal digital wrapper, encapsulating Ethernet, IP, SONET/SDH, and storage (Fibre Channel) traffic into a single, highly efficient transport layer.

The Factory Floor's Digital Blind Spot: Hidden IT Risk in Manufacturing

Manufacturing organizations have spent years strengthening the systems, processes, and supply chains that keep production moving. Yet some of the disruption affecting operations begins in places that are much harder to see. A slow engineering workstation, inconsistent access to a production application, a login delay at shift change, or a device that needs repeated intervention may not look like a plant-wide outage, but each one can add friction to work that is already tightly sequenced.