Operations | Monitoring | ITSM | DevOps | Cloud

Training Foundation Models on a Trillion Data Points with Apache Iceberg

Training an AI foundation model on over a trillion data points sounds impossible without hitting your production systems. Here's how Datadog did it with Apache Iceberg for their time series forecasting model TOTO. The key challenge: extracting massive historical observability data (metrics spanning years) and running incremental preprocessing pipelines without overwhelming production services. Iceberg solved this by providing schema governance, consistency guarantees, and seamless integration with ML tools like Ray and PyTorch.

Leading Open Source Teams w/ Daniel Roe

In this episode, Daniel Roe, Lead Maintainer of the Nuxt framework, discusses his journey from studying law and theology to leading a major open-source framework. He explains Nuxt's unique governance and how Nuxt manages contributions through volunteer-driven work, LLM-powered issue triage, and creating welcoming spaces for newcomers to open source. This week, our chat touches on a variety of topics including.

The Role of Intelligent Platforms in Streamlining Enterprise Operations

In today's fast-paced business environment, organizations face increasing pressure to operate efficiently while managing complex workflows. Enterprises are no longer able to rely solely on traditional methods to handle operations, data, and decision-making processes. This is where intelligent platforms come into play, providing tools and systems that can automate tasks, streamline processes, and support more strategic decision-making.

dbForge AI Assistant Overview for SQL Developers

Meet dbForge AI Assistant — your AI-powered copilot for SQL coding, query optimization, explanations, troubleshooting, and conversion of natural language to SQL code. This overview shows how the Assistant works inside dbForge products and how it helps developers, DBAs, analysts, and teams increase productivity. Key features: Context-aware SQL generation Conversion of natural language to SQL Query optimization SQL explanations Troubleshooting and error insights AI chat for SQL-related questions Optional web search.

Is Shadow AI Quietly Reshaping Your Workplace Security Posture?

AI tools have seen a meteoric rise in the workplace. What was once the domain of highly specialized tech roles is now commonplace: Ivanti’s 2025 Technology at Work Report found that 42% of office workers say they’re using gen AI tools, like ChatGPT, at work — up 16 points from the previous year. The catch? These productivity gains happen under the table. Among those who reported using gen AI tools, 46% say that some (or all) of the tools they use are not employer-provided.

How Forward-Looking Institutions are Benefiting from Agentic AI

Today’s higher education institutions operate complex digital ecosystems that were unimaginable a decade ago. Behind every college lies a portal of interconnected systems for registration, financial aid, course management, and campus services. The students using those systems are digital natives who can order food in seconds on their phones or have packages delivered the same day they order them.

How Inkeep Monitors Their AI Agent Framework with SigNoz

AI agents are fundamentally different beasts to monitor compared to traditional applications. A single user request can trigger a cascade of 10+ internal operations: sub-agent transfers, tool executions, LLM calls, API requests, each with unpredictable latency and failure modes. When something goes wrong (and with LLMs, things go wrong in creative ways), you need to see the entire execution flow to debug effectively.