Because DevOps teams deal with so much data, they may feel like they are drowning, but rarely find the insights they need. There is more observability data now than ever, yet it often stays separate, disorderly, inaccessible or confusing. As AI enters more organizations’ processes, observability moves from just monitoring to gathering early insight through meaningful narratives. It is not only about having new tools but also changing how development is done and organized. Supporting today’s DevOps — where AI is involved — requires developers to switch from seeing observability as a solely technical aspect to thinking of it as…
Author: drweb
New Relic this week added support for the Model Context Protocol (MCP) to its observability platform to surface insights into artificial intelligence (AI) agents and applications.Originally developed by Anthropic, MCP is rapidly becoming a de facto application programming interface (API) for enabling interoperability between AI agents and other sources of data.New Relic has now incorporated MCP with its application performance monitoring to surface insights into AI agents and applications alongside its ability to monitor and observe legacy applications.Previously, New Relic had added an ability to observe large language models (LLMs), but via MCP it’s now able to extend the reach…
Digital transformation continues to be a key focus for many organizations, and this usually means the automation of processes and data.At its core, automation is meant to simplify and streamline business operations. However, if not implemented correctly, it can introduce complexity, risk and fragmentation. The proliferation of automation tools, combined with the rapid growth of interconnected systems has created a tangled web of interdependencies that are becoming increasingly difficult to manage.In fact, recent research has shown organizations now manage an average of 50 endpoints to execute tasks that are part of a process in their business (this is a 19%…
Gearset has extended the scope of the observability of Salesforce applications it provides to include software developed using low-code Flex and object-oriented Apex programming tools.Busayo Longe, a product manager for Gearset, said Flow is gaining more traction as a tool that is more widely employed to build Salesforce applications, while more complex applications are typically built using Apex.Gearset, a provider of a DevOps platform for Salesforce applications, is now able to surface and analyze Flow and Apex errors in real time.Unlike other applications where issues are surfaced using alerts generated via agents embedded in an application, the Salesforce platform generates…
For a long time, security teams have been told that shifting left is the key to securing their apps and systems. And until recently, this was (mostly) sufficient. As long as security experts were included early enough in the development process, it worked to ensure that security awareness starts at the development and even design phase. But times have changed. Attack surfaces have grown and become more complex, while the number of vulnerabilities is rising every year. According to one study, the number of new CVEs (common vulnerabilities and exposures) jumped 38% YOY in 2024, hitting an all-time high of 40,009…
Introduction As a Senior DevOps Engineer and Docker Captain, I’ve helped build AI systems for everything from retail personalization to medical imaging. One truth stands out: AI capabilities are core to modern infrastructure. This guide will show you how to run and package local AI models with Docker Model Runner — a lightweight, developer-friendly tool for working with AI models pulled from Docker Hub or Hugging Face. You’ll learn how to run models in the CLI or via API, publish your own model artifacts, and do it all without setting up Python environments or web servers. What is AI in…
I’m presenting a free webinar at MSSQLTips.com at Thursday, July 10, 2025 at 6PM UTC (8PM CET or 2PM EDT). The abstract:When you watch some conference sessions, or read some blog posts, it always seems like everyone is drowning in petabytes of (streaming) data. They’re proclaiming you need the fastest, best, most scalable, distributed shared-nothing (or everything?) multi-parallel system that can also get coffee.But guess what?Not every company has to deal with a scale that businesses like Google, Amazon, or Tiktok have to deal with.Not every company needs streaming data with Kafka, Spark Streaming or Event Hubs.Not every company has…
Senior Software Engineer
Let’s be real: DevOps at scale is still messy. Teams are moving faster, working across an ever-expanding surface area, and juggling more responsibility—shipping code while also owning security, reliability, and cost. Yes, AI has sped up everyday work and made individual developers more productive. However, it’s when AI stretches past the inner loop – the coding, building, and testing phases — that the Ws really start piling up. With AI integrated across the software delivery lifecycle, teams can reduce manual work, smooth out handoffs, and stay aligned—so developers can spend less time on process and more time vibe coding 😎.…
There was a lot of interest in our Why Can’t HTML Alone Do Includes? article. I’d like to point you to my ShopTalk Show conversation where we really get into things more with Jake Archibald.