Operations | Monitoring | ITSM | DevOps | Cloud

Latest News

Put Your Issue Detection and Response on Fast-Forward With GenAI

Most engineers will tell you this: Troubleshooting today feels like trying to find your way out of a wild jungle, in the middle of a storm, at night, while a countdown clock is running. In other words, it’s ambiguous, nerve-racking, and plain difficult. But should this be the norm?

Enhancing mission-critical enterprise collaboration with multi-LLM support for Mattermost Copilot

Mattermost is excited to announce the release of v10.0, bringing with it a groundbreaking enhancement to our Mattermost Copilot plugin: support for multiple large language models (multi-LLM). This feature, designed to empower mission-critical enterprises, adds a new layer of flexibility, privacy, and control to your AI-driven workflows.

Komodor Platform Adds GenAI Agent to Transform Kubernetes Troubleshooting

Komodor, the company that automates Kubernetes management, today announced Klaudia, the first Generative AI (GenAI) agent for troubleshooting and remediating operational issues, as well as optimizing Kubernetes environments. Integrated within the Komodor Kubernetes Management Platform, Klaudia simplifies and accelerates root-cause analysis, empowering both platform and application teams with precise diagnostics to resolve issues with unprecedented speed and precision.

Open-Source DevOps AI Agent: Effortless Migration from Heroku to AWS

Migrating applications from a Platform as a Service (PaaS) to a cloud platform is often a complex, time-consuming, and expensive process. Companies using PaaS platforms like Heroku, Render, Fly.io, Railway, Vercel, Netlify, and many others frequently delay this migration despite needing enhanced security, compliance, technical capabilities, and greater control over their infrastructure.

Using LLMs for Automated IT Incident Management

Large language models are algorithms designed to understand, generate, and manipulate human language. State-of-the-art large language models include OpenAI’s GPT-4o, Anthropic Claude Sonnet 3.5, and Meta LLaMA 3.1. They are built using neural networks with billions or even trillions of parameters. They are trained on vast datasets that can include text from the internet, books, code, and other information sources.

Herding Llama 3.1 with Elastic and LM Studio

The latest LM Studio 0.3 update has made Elastic’s AI Assistant for Security run with an LM Studio-hosted model easier and faster. In this blog, Elastic and LM Studio teams will show you how to get started in minutes. You no longer need to set up a proxy if you work on the same network or locally on your machine.

The Intersection of IT and Construction: How Technology is Revolutionizing General Contractor Workflows

The construction industry, one of the oldest in human history, is undergoing a profound transformation thanks to the integration of cutting-edge technologies. With new tools, digital platforms, and advanced software becoming indispensable in construction, general contractors are experiencing a shift in how they manage projects, collaborate with teams, and meet deadlines.

Retail Detail: How AI Leverages Real-Time Data to Unlock Revenue Potential

Real-time intelligence is no longer a nice-to-have, but necessary to attract customers and build future-proofed retail operations In the last 15 years, we’ve seen slow but significant advances in AI when it comes to retail. We can all remember when AI-powered “bots” or virtual assistants began showing up on most major retail websites to assist with consumer questions and complaints.