Operations | Monitoring | ITSM | DevOps | Cloud

AI

Using GitHub Copilot to Speed Up Your Development Workflow

As a software engineer, I’m always evaluating tools and technologies that can optimize my workflow. Developer productivity isn’t just about writing more code—it’s about reducing friction, whether that’s context-switching, making repetitive edits, or understanding unfamiliar parts of a codebase. That’s where GitHub Copilot comes in: making tasks that once felt monotonous or time-consuming into faster, more intuitive processes.

AI in IT Operations: A Practical Guide for 2025

Artificial Intelligence (AI) is no longer a futuristic buzzword. It’s here, it’s growing, and it’s reshaping industries across the board. While AI often evokes images of humanoid robots and sci-fi scenarios, its practical applications, especially in IT, are far more grounded and transformative. This blog explores how AI has evolved, the types of AI in use today, and how it can bring tangible benefits to IT teams.

Datadog on LLMs: From Chatbots to Autonomous Agents

As companies rapidly adopt Large Language Models (LLMs), understanding their unique challenges becomes crucial. Join us for a special episode of "Datadog On LLMs: From Chatbots to Autonomous Agents," streaming directly from DASH 2024 on Wednesday, June 26th, to discuss this important topic. In this live session, host Jason Hand will be joined by Othmane Abou-Amal from Datadog’s Data Science team and Conor Branagan from the Bits AI team. Together, they will explore the fascinating world of LLMs and their applications at Datadog.

5 proven strategies IT leaders use to drive business value amid complexity

With the rapid growth of data, sprawling hybrid cloud environments, and ongoing business demands, today’s IT landscape demands more than troubleshooting. Successful IT leaders are proactive, aligning technology with business objectives to transform their IT departments into growth engines. At our recent LogicMonitor Analyst Council in Austin, TX, Chief Customer Officer Julie Solliday led a fireside chat with IT leaders across healthcare, finance, and entertainment.

How is Civo making AI more accessible through affordable GPUs?

To read the full findings from this research, visit the AI for All white paper by clicking here. Artificial intelligence (AI) and machine learning (ML) are reshaping industries and unlocking unprecedented opportunities. However, the widespread adoption of these technologies hinges on addressing a critical issue: the accessibility of GPUs.

Accelerate Incident Investigation with Biggy AI

Meet BigPanda Biggy AI, the interactive AI that’s purpose-built for incident responders. Powered by BigPanda’s AI-powered ITOps and incident management platform, Biggy streamlines troubleshooting for incident management by aggregating data such as observability tools, service history, informal and institutional knowledge, and more.

APAC in 2025: A Harder Look at AI, Data and Cybersecurity Standards

This year has been transformative for technology, reshaping the business landscape with groundbreaking advancements and unprecedented challenges. Generative AI continues to unlock new possibilities, while cybersecurity threats have escalated to new heights. Across APAC — a fast-emerging global innovation hub — businesses have grappled with the twin forces of regulatory evolution and technological breakthroughs.
Sponsored Post

Engineering AI systems with Model Context Protocol

On November 26, 2024, Anthropic released the Model Context Protocol (MCP)-an open standard for data exchange between applications and data sources. MCP simplifies how Large Language Models (LLMs) interact with external tools and data, addressing the challenges developers face when integrating AI into their systems. At Raygun, we've been exploring agentic workflows to improve productivity and saw real potential in MCP. This post will explain how MCP works, what we've implemented, and where we think the standard is headed.

Ops Centric AI: The foundation of best-in-class incident management

Your ITOps and Incident Management teams face thousands of alerts daily. How can they find the “needle in the haystack” to prevent critical alerts from escalating into incidents that impact users and customers? This challenge plagues modern IT departments as alert noise, fragmented data, and chaotic workflows extend response times and undermine service reliability.