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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.

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.

Component statuses: Now in the API

The StatusGator API continues to expand with new end points to help support the wide variety of use cases our customers have. We just released two new APIs: In case you missed, it component filtering is one of StatusGator’s most important features, allowing you to filter your service monitor to just the specific products, regions, or features you use. It’s an essential setup step that helps minimize noise.

Empowering IT teams: Site24x7's mobile app updates in 2025

Present IT structure requires flexibility, speed, and accessibility. This year marked a significant milestone for Site24x7 as we launched our enhanced mobile application, transforming how IT teams manage their infrastructure while on the go. Whether you're responding to critical alerts during your commute or reviewing performance metrics between meetings, Site24x7's mobile app puts its entire suite of monitoring capabilities directly in your hands.

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.

Load Testing Kafka #speedscale #kafka #loadtesting

Message brokers are a critical component of modern distributed systems, facilitating asynchronous communication between services. Load testing message broker integrations requires special considerations since the interaction patterns differ from traditional HTTP-based APIs. Speedscale provides specialized tooling to help you load test applications that integrate with message brokers by.

Get Kafka-Nated Special Episode: A Kristmas Kafka

Join us for A Kristmas Kafka, an informal and deeply technical roundtable with Apache Kafka committers, contributors and community leaders. This conversation brings together the people closest to the Kafka codebase to reflect on where the project started, how it has evolved and what lies ahead for streaming systems.

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.