Operations | Monitoring | ITSM | DevOps | Cloud

Banana Pro AI: The Definitive Guide to 4K Image Generation

The landscape of generative AI has shifted. While 2024 was defined by the "subscription fatigue" of Midjourney and the prompt-engineering hurdles of DALL-E, 2025 ushered in a new era of accessibility and precision. At the forefront of this shift isBanana Pro AI, a high-performance platform that has effectively "de-gated" elite-tier visual creation.

Building and deploying the Symfony ChatGPT app with Upsun

This blog post is based on a live presentation by Guillaume at a SymfonyCon 2023 on deploying applications with the Upsun platform-as-a-service. We utilized AI tools for transcription and to enhance the structure and clarity of the content. If you still use File Transfer Protocol (FTP) for deployment, this post is for you.

Building the Next Phase of Harness's AI Engineering Organization in India

Over the past year, Harness’s India organization has entered a new phase of growth – one defined not just by scale, but by increasing technical depth and impact. What began as steady expansion has turned into real momentum across engineering, product, and operations. Today, 480 people work in India, contributing across every major product area. In 2025 alone, the team in India grew by more than 75%, and now each core Harness product offering has a strong engineering presence in the region.

Why Dechecker AI Checker Matters When Executives Review High-Stakes Content

Executives rarely question whether AI was used. They question whether a document feels owned. In board decks, internal reports, or external statements, language signals responsibility long before facts are debated. Dechecker exists in that narrow space where leadership judgment meets written expression.

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.

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.”

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?

Runbooks are history: Why agentic AI will redefine incident response forever

If you’re an SRE, platform engineer, or on-call responder, you don’t need another article explaining incident pain. You feel it every time your phone lights up in the middle of the night. You already know the pattern: You’ve invested in runbooks, automation, observability, and “best practices,” yet incident response still feels like firefighting. Now imagine the same midnight page, but with AI SRE in place: What once took hours is now finished in a couple of minutes.

What NVIDIA, Okta, and Warner Bros. Discovery Learned About Scaling AI Operations Beyond the Pilot Phase

One key takeaway from AWS re:Invent 2025 was that a clear gap has emerged between teams still experimenting with AI and those seeing measurable value at scale. In two sessions, PagerDuty customers joined us onstage to explain how they’ve scaled pilots into successful AI operations.

How to Audit AI-Written Pull Requests Without Burning Out

If it feels like your GitHub notifications are a targeted DDoS attack on your brain, you aren't imagining it. Data from GitHub's Octoverse 2025 report shows an average of 43.2 million pull requests merged every month, a 23% jump from just a year ago. This surge in activity coincides with the widespread adoption of AI tools to write code. The temptation to just click "Approve" on a well-formatted AI-written pull request is higher than ever.