Operations | Monitoring | ITSM | DevOps | Cloud

Introducing Real-Time Conversations with Netdata AI

Over the past few months, we’ve seen incredible adoption of our AI Investigations and Insights reports. Teams are using them to automate the deep, thoughtful analysis required for complex post-mortems, capacity planning, and performance optimization. These comprehensive reports are fantastic when you need a well-researched, shareable document. But what about the moments during an investigation?

CTO Predictions for 2026: How AI Will Change Software Development | ShipTalk S4E7 Special Episode

In this special ShipTalk episode, host Dewan Ahmed (Principal Developer Advocate, Harness) sits down with @Harnessio Field CTO Nick Durkin for spicy—but practical—2026 predictions across AI, software delivery, DevSecOps, MLOps, and developer experience. Will we see the first “AI-caused meltdown”? Are AI “confidence scores” even trustworthy? Is 2026 the year of AI cleanup crews and recovery engineering? Nick’s take: the answer isn’t more gates—it’s guardrails, policy in the pipeline, and teams operating with the same “rulebook.”

Harness AI For Everything After Coding

AI didn’t just change how we write code. It changed everything that comes after. Application teams are shipping more code than ever with AI — but 70% of the work still happens after coding: testing, security, deployment, optimization, and keeping everything moving. As coding gets faster, delivery becomes the bottleneck. That’s where Harness comes in.

2026 Observability Predictions: What Lies Ahead?

What remains of the 2025 AI hype? After a year of “AI will fix everything” promises, engineering teams in 2025 hit a wall of reality: AI is a tool, not a magic bullet. We’re now seeing a more practical approach: identifying broken workflows and tasks where AI can help and leveraging AI strengths like data analysis at speed and scale to derive meaningful, valuable insights. Looking ahead, 2026 will reward organizations that combine AI innovation with a practical approach.

How to Integrate App Synthetic Monitoring into Your CI/CD Pipeline for Flawless Deployments Meta Description:

In today’s age of continuous delivery, a failed deployment or a drop in performance can affect thousands of users in just a few minutes. Traditional testing happens before deployment, but what about after the code is live? This is where app synthetic monitoring becomes a critical part of your CI/CD pipeline. Integrating synthetic monitoring into CI/CD transforms your pipeline from a simple delivery mechanism into a proactive quality and performance gatekeeper.

What Is An AIOps Platform? AIOps Platform Definition And Deep Dive for 2026

If you’re running a SaaS business today, you’ve probably noticed the alarms never really stop. Logs. Alerts. Tickets. They pile up faster than many teams can triage them. Add multiple clouds, microservices, and AI-driven workloads, and suddenly, your “always-on” infrastructure feels like it’s always on fire. AIOps platforms promise to connect dots that human teams struggle to see fast enough. For engineers, these include surfacing root causes and outwitting outages.

Invisible IT: The Best Technology You'll Never Notice

“Invisible IT” might sound like a marketing slogan, but it captures something every IT leader has quietly wanted for what feels like eons: a world where technology does its job without slowing anyone down. A world where support is proactive instead of reactive and where digital friction disappears before employees ever feel it. Invisible IT is about removing interruptions without disappearing IT teams.

Bulletproofing your Symfony application for Black Friday

This blog is based on Thomás Di Luccio's talk "Bulletproofing for Black Friday" from the Symfony 2024 conference. Thomás is a Developer Relations Engineer at Upsun. We utilized AI tools for transcription and to enhance the structure and clarity of the content. Picture this: You're a small ticketing startup that just landed a major deal with a large venue. After months of building features and preparing for launch, the big day arrives—season ticket sales go live.

Sampled analysis of 10 billion spans with Coralogix highlight comparison

The CNCF reported that between 39% and 56% of organizations surveyed are now ingesting traces as part of their observability strategy. Tracing has become a cornerstone of any modern observability operation. Customers are regularly handling 10s of billions of spans every day, but with billions of spans, how can teams quickly figure out what is changing, what’s breaking, or what’s slowing down?