AppSignal has extended its application performance monitoring platform to provide native support for OpenTelemetry, an open source framework for instrumenting applications that is being advanced under the auspices of the Cloud Native Computing Foundation (CNCF).Wes Oudshoorn, chief product officer for AppSignal, said the implementation of OpenTelemetry is designed to enable DevOps teams with a simple line of code to begin collecting telemetry data from Go, Java, PHP, Ruby, Elixir, and Node.js applications that begin to yield actionable insights in less than five minutes.That zero-configuration approach will make it possible for a much wider range of organizations to instrument applications, he…
Author: drweb
Docker Desktop 4.44: Smarter AI Modeling, Platform Stability, and Streamlined Kubernetes Workflows In Docker Desktop 4.44, we’re delivering enhanced reliability, tighter AI modeling controls, and simplified tool integrations so you can build with confidence.
I’m back. My last day of work was Jun 27 and I came back a few days ago, on Aug 13. Just over six weeks away and I am very grateful to Redgate for allowing me the break from work. This was my third sabbatical, and it was mostly unwired, which was new.Or as my wife said last week, I was practicing for retirement.I think I was, as I didn’t have firm plans when I started and tried not to feel pressured to get things done, but I did have a nice mix of being productive and relaxing. Here’s a…
Copado this week extended the artificial intelligence (AI) capabilities it makes available for its DevOps platform for building and deploying Salesforce applications to include an ability to now discover the relationship between the objects used to create code.The Org Intelligence module added to the Copado AI Platform leverages the metadata exposed on the Salesforce platform to extrapolate those relationships in a way that promises to reduce by 80% the amount of time previously required to discover them.Gloria Ramchandani, senior vice president of product at Copado, said that capability, in addition to accelerating the ability of a DevOps team to respond…
In Docker Desktop 4.44, we’ve focused on delivering enhanced reliability, tighter AI modeling controls, and simplified tool integrations so you can build on your terms. Docker Model Runner Enhancements Inspectable Model Runner Workflows Now you can inspect AI inference requests and responses directly from Docker Model Runner (DMR), helping you troubleshoot and debug model behavior quickly. This feature brings transparency and debugging capabilities to AI workflows and provides a major usability upgrade for those users experimenting with AI/LLM-based applications. Use the new request and response inspector for deeper visibility into your inference request/response cycle. This inspector captures HTTP request and…
A survey of 1,519 application security stakeholders finds nearly all (98%) work for organizations that have experienced a security breach attributable to vulnerable code, with 81% acknowledging their organization has shipped code with known vulnerabilities into production environments.Conducted by Censuswide on behalf of Checkmarx, the survey also finds more than a quarter of organizations (27%) experienced four or more breaches due to these vulnerabilities, with 38% reporting that vulnerable code is being shipped to meet a business, feature or deadline requirement.Roughly a third of respondents are resigned to additional incidents occurring in the next 18 months, with software supply chain…
Director of Engineering
This is Part 3 of our MCP Horror Stories series, where we examine real-world security incidents that validate the critical vulnerabilities threatening AI infrastructure and demonstrate how Docker MCP Toolkit provides enterprise-grade protection. The Model Context Protocol (MCP) promised to revolutionize how AI agents interact with developer tools, making GitHub repositories, Slack channels, and databases as accessible as files on your local machine. But as our Part 1 and Part 2 of this series demonstrated, this seamless integration has created unprecedented attack surfaces that traditional security models cannot address. Why This Series Matters Every Horror Story shows how security problems…
In today’s data-driven world, organizations are constantly seeking ways to simplify their analytics stack, unify fragmented tools, and unlock real-time insights. Enter Microsoft Fabric, a cloud-native, AI-powered data platform that’s redefining how businesses manage, analyze, and act on data.Whether you’re a startup looking to scale or an enterprise aiming to modernize, Fabric offers a compelling proposition that goes beyond just technology; it is about transforming data into decisions.What Is Microsoft Fabric?Microsoft Fabric is an end-to-end analytics platform that integrates services like Power BI, Azure Synapse, Data Factory, and more into a single Software-as-a-Service (SaaS) experience. It centralizes data storage with…
Sentry today added an ability to monitor Model Context Protocol (MCP) servers to its application performance monitoring (APM) platform.Originally developed by Anthropic, MCP has emerged as a de facto standard for enabling artificial intelligence (AI) applications to access data that is rapidly being adopted by software development teams.Cody De Arkland, senior director of developer experience for Sentry, said that as application developers increasingly use AI technologies to build applications, many of them are employing MCP servers to now access the data those applications require. By adding a few lines of code using JavaScript software development kit (SDK), the MCP Server…