The Data + AI Downtime Blog

The latest trends and news in data + AI observability.

Most recent

Data Shift vs. Data Drift

Drift creeps in slowly. Shift breaks things overnight. Understanding the difference is the first step to catching both in production.

Open Source AI Monitoring Tools: What They Are, How They Work, and When to Look Beyond Them

How to Build an AI Monitoring Framework That Auditors Love

AI Agents for Data Engineering: Use Cases, ROI, Guardrails

AI Agent Monitoring 101: How to See What Your Agents Really Do

LLM-As-Judge: 7 Best Practices & Evaluation Templates

What is AI-Ready Data? Redefining AI-Ready for Production.

The Top 5 AI Reliability Pitfalls

In the AI Kingdom, Experience is King

Data Observability

17 Valuable Use Cases for Automated Data Lineage

Learn how today's data teams apply automated lineage to boost productivity, reduce time to incident resolution, and more.

Download

Know Before You Go: Gartner Data & Analytics Summit EMEA 2026

The Ultimate Guide To Data Lineage

Data Observability, ML Model, and Agent Observability In A Single Pane Of Glass

Morningstar Accelerates Validations and Resolutions for Key IP With Monte Carlo

Has AI-Assisted Coding Made Data Quality Better or Worse?

RAG vs Fine Tuning: How to Choose the Right Method

AI Observability

AI Agents for Data Engineering: Use Cases, ROI, Guardrails

AI Agent Monitoring 101: How to See What Your Agents Really Do

The State of AI Reliability: What Senior Data & AI Leaders Told Us

Know Before You Go: Gartner Data & Analytics Summit EMEA 2026

LLM-As-Judge: 7 Best Practices & Evaluation Templates

The 17 Best AI Observability Tools in April 2026

Data Platforms

What is a Data Platform and How Do You Build One?

Open Source Business Intelligence Tools

Cheat Sheet: A Data Leader's Guide to Data Metrics

Access the must-have metrics today's data leaders use to measure data quality, platform ROI, team productivity, and more.

Download Your Copy

What Is Model Context Protocol (MCP)? A Quick Start Guide.

Data Warehouse vs Data Lake vs Data Lakehouse: Definitions, Similarities, and Differences

Data Warehousing Guide: Fundamentals & Key Concepts

The Future Of Business Intelligence: 5 Trends To Watch In 2026

AI Culture

What the EU AI Act Actually Requires (And Why Your Current Solutions Won’t Get You There)

The Ultimate Guide to Data Product Management

Learn how to build, manage, and scale reliable data products in our latest how-to guide, written by and for data product managers.

Download

We Went All In on AI. Here’s What We Shipped in Just One Week.

Trading Places in Financial Services: How Accountability Changes Seats in Agentic Systems

When Agents Manage Agents, Blame Disappears. Consequences Don’t.

Know Before You Go: Gartner Data & Analytics Summit 2026

AI Telemetry: How to Audit & Monitor Your AI Systems in Production

Data Reliability

The Ultimate Guide To Data Lineage

Data Contracts 101: What They Are, Why They Matter, and How to Implement Them

2023 Modern Data Leader's Playbook

Stay up-to-date with the latest technologies, trends, and processes shaping modern data management.

Access Today

The New Dictionary of AI Reliability

Monitoring Through Disaster: Why Multi-Region Hosting Matters

Data Remediation: Ensuring Data Quality and Reliability in Modern Data Pipelines

Data Munging That Actually Works

Data Discovery

6 Tips For Better SQL Query Optimization

Star Schema vs. Snowflake Schema: Which One Should You Use?

The Best Snowflake Orchestration Tools

Data Catalog vs. Data Dictionary: 5 Essential Differences

Tired of Broken Pipelines? Here’s How ETL Orchestration Can Help

Messy Files and Confused Teams? You Need Product Data Management

Case Studies

Morningstar Accelerates Validations and Resolutions for Key IP With Monte Carlo

How Much Does Bad Data Cost You?

Do you know the cost of data downtime? This guide will help you calculate the cost of bad data for your company.

Download

How Axios Is Delivering Reliable AI with Agent Observability

How Pilot Flying J Scales Production AI with Monte Carlo

How T. Rowe Price Reduced Time To Resolution 83% with Monte Carlo

How M&T Bank Scales Trusted Data With Monte Carlo

How Calendly Reduced Data-Related Bug Tickets 40%

Announcements

Data Observability, ML Model, and Agent Observability In A Single Pane Of Glass

Discover All Cortex Agents In A Single Click: Agent Observability for Snowflake Intelligence

From Insight to Action: Operations Agent is now Generally Available

Monte Carlo Named to G2’s Best Software Products of 2026

Debug Problematic Agent Behavior 4x Faster with Agent Observability

Operations Agent Increases Data + AI Reliability Team Velocity 50%

What is AI-Ready Data? Redefining AI-Ready for Production.

The Top 5 AI Reliability Pitfalls

In the AI Kingdom, Experience is King

AI Observability Tools

What’s AI observability, when do you need it, and what are the best tools to deliver reliable data and agents at scale? Check out our list of 17 AI observability tools.

Learn more

Redefining AI-Ready Data for Production

AI-ready data is about more than what you do before deployment. Find out how to implement an operational model that will enable you to drive AI reliability and adoption in production.

Learn more

Data testing vs. data quality monitoring vs. data observability: What's right for your team?

In the fight against bad data and broken pipelines, there are a few popular options. But what makes the most sense for your data quality needs? We’ve got the answers.

Learn more

The Data + AI Downtime Blog

Most recent

Data Shift vs. Data Drift

Open Source AI Monitoring Tools: What They Are, How They Work, and When to Look Beyond Them

How to Build an AI Monitoring Framework That Auditors Love

Featured

AI Agents for Data Engineering: Use Cases, ROI, Guardrails

AI Agent Monitoring 101: How to See What Your Agents Really Do

LLM-As-Judge: 7 Best Practices & Evaluation Templates

Editors picks

What is AI-Ready Data? Redefining AI-Ready for Production.

The Top 5 AI Reliability Pitfalls

In the AI Kingdom, Experience is King

Data Observability

17 Valuable Use Cases for Automated Data Lineage

Know Before You Go: Gartner Data & Analytics Summit EMEA 2026

The Ultimate Guide To Data Lineage

Data Observability, ML Model, and Agent Observability In A Single Pane Of Glass

Morningstar Accelerates Validations and Resolutions for Key IP With Monte Carlo

Has AI-Assisted Coding Made Data Quality Better or Worse?

RAG vs Fine Tuning: How to Choose the Right Method

AI Observability

AI Agents for Data Engineering: Use Cases, ROI, Guardrails

AI Agent Monitoring 101: How to See What Your Agents Really Do

The State of AI Reliability: What Senior Data & AI Leaders Told Us

Know Before You Go: Gartner Data & Analytics Summit EMEA 2026

LLM-As-Judge: 7 Best Practices & Evaluation Templates

The 17 Best AI Observability Tools in April 2026

Data Platforms

What is a Data Platform and How Do You Build One?

Open Source Business Intelligence Tools

Cheat Sheet: A Data Leader's Guide to Data Metrics

What Is Model Context Protocol (MCP)? A Quick Start Guide.

Data Warehouse vs Data Lake vs Data Lakehouse: Definitions, Similarities, and Differences

Data Warehousing Guide: Fundamentals & Key Concepts

The Future Of Business Intelligence: 5 Trends To Watch In 2026

AI Culture

What the EU AI Act Actually Requires (And Why Your Current Solutions Won’t Get You There)

The Ultimate Guide to Data Product Management

We Went All In on AI. Here’s What We Shipped in Just One Week.

Trading Places in Financial Services: How Accountability Changes Seats in Agentic Systems

When Agents Manage Agents, Blame Disappears. Consequences Don’t.

Know Before You Go: Gartner Data & Analytics Summit 2026

AI Telemetry: How to Audit & Monitor Your AI Systems in Production

Data Reliability

The Ultimate Guide To Data Lineage

Data Contracts 101: What They Are, Why They Matter, and How to Implement Them

2023 Modern Data Leader's Playbook

The New Dictionary of AI Reliability

Monitoring Through Disaster: Why Multi-Region Hosting Matters

Data Remediation: Ensuring Data Quality and Reliability in Modern Data Pipelines

Data Munging That Actually Works

Data Discovery

6 Tips For Better SQL Query Optimization

Star Schema vs. Snowflake Schema: Which One Should You Use?

The Best Snowflake Orchestration Tools

Data Catalog vs. Data Dictionary: 5 Essential Differences

Tired of Broken Pipelines? Here’s How ETL Orchestration Can Help

Messy Files and Confused Teams? You Need Product Data Management

Case Studies

Morningstar Accelerates Validations and Resolutions for Key IP With Monte Carlo

How Much Does Bad Data Cost You?

How Axios Is Delivering Reliable AI with Agent Observability

How Pilot Flying J Scales Production AI with Monte Carlo

How T. Rowe Price Reduced Time To Resolution 83% with Monte Carlo

How M&T Bank Scales Trusted Data With Monte Carlo

How Calendly Reduced Data-Related Bug Tickets 40%

Announcements

Data Observability, ML Model, and Agent Observability In A Single Pane Of Glass

Discover All Cortex Agents In A Single Click: Agent Observability for Snowflake Intelligence

From Insight to Action: Operations Agent is now Generally Available

Monte Carlo Named to G2’s Best Software Products of 2026

Debug Problematic Agent Behavior 4x Faster with Agent Observability

Operations Agent Increases Data + AI Reliability Team Velocity 50%

Editors picks

What is AI-Ready Data? Redefining AI-Ready for Production.

The Top 5 AI Reliability Pitfalls

In the AI Kingdom, Experience is King

Related resources

AI Observability Tools