How Datadog and Eppo combine metrics for better experiments

You found the issue—but finding the root cause is only part of the story. You also need to know who was affected and the overall impact. With Datadog Sheets, you can go from log search to full impact analysis in one click—using the same spreadsheet-style tools you already know. See how to join data, pivot by customer or region, and share insights instantly—all in Datadog. Watch our latest demo video: https://lnkd.in/eFm9jqXr

🚀 Found the issue? That’s just the beginning. With Datadog Sheets, you can instantly go from log search to full impact analysis — in one click. Join data, pivot by customer or region, and share insights effortlessly — all within Datadog, using tools that feel as familiar as a spreadsheet. Check out how it works in our latest demo 🎥👇 🔗 https://lnkd.in/eFm9jqXr #Datadog #Observability #ImpactAnalysis #Logs #DataAnalytics

If your Datadog metrics bill is spiralling out of control, Metrics without Limits might be your solution. In 2025, observability costs can make or break budgets. MwL offers a path to significant savings with minimal effort by reducing metric cardinality - but only when applied strategically. Here's my approach to maximising MwL impact without breaking your data: Start with Dataiker intelligence 🔍 • Identify your top cost-driving metrics where MwL delivers the biggest savings • Analyse cardinality, active tags, and aggregations to estimate potential reductions Apply surgical precision • Use Datadog's Metric Summary to manage tags and reduce cardinality selectively • Remember: querying metrics changes active tags/aggregations, so timing matters Avoid the traps ✔️ • MwL isn't universally beneficial - it can sometimes increase cardinality • Always verify impact before applying changes to avoid nasty surprises The key is treating each metric individually rather than applying blanket rules. I've seen teams achieve 40% cost reductions whilst others accidentally increased their bills by rushing the process. Have you experimented with Metrics without Limits yet? What's been your biggest challenge with Datadog cost optimisation? 💡

Data readiness isn’t just a technical issue — it’s a million-dollar decision. Learn how Unistream helps leaders close the readiness gap and unlock real value. 👉 Read the full blog: https://lnkd.in/dB8MrNg6

Logs contain vital information, but raw text alone can slow you down. Learn how to enrich your logs with Datadog Observability Pipelines by easily converting logs into structured, machine-readable formats, making them easier to analyze, route, and enrich before they reach your storage or downstream tools. This blog shows how to start improving visibility and get insights faster: https://bit.ly/46Lh8kp

Not all logs are created equal — structured, enriched data makes all the difference for troubleshooting and analytics. Great breakdown here on how Datadog Observability Pipelines help teams transform and optimize their log data. #Observability #Datadog #LogManagement #DevOps

"In 2023, the conversation was: What is EHR-to-EDC? Who is Ignite Data? Today, sites say: We get it. How do we implement this at our organization?" — Carson Goff The market has matured almost overnight. What was once an unfamiliar concept is now a pressing demand. Sites and sponsors alike are asking not if but how fast they can scale. Competition validates the space. Demand proves the timing is right. And IgniteData is at the center of this shift. See the whole conversation: https://hubs.la/Q03MDVWn0

Did you know that there are about 400,000 bytes of data for every grain of sand on Earth? Let that sink in for a second. Every click, search, and swipe adds to a growing digital ocean — and businesses that don’t learn to navigate it risk being swept away. This is a fact that has come to stay. #DataAnalytics #DigitalTransformation #BigData #InformationTower #DataStrategy

The numbers are in, and they're clear: high-impact outages to critical applications can cost businesses up to $2 million per hour, but teams with full-stack observability cut that cost in half. Our new 2025 #Observability Forecast report is out, and it's packed with data-backed insights on how organizations are fighting downtime, consolidating tools, and getting real ROI from their observability investments. Get the report to read all the key insights. New Relic

I keep being amazed by how much emphasis there is on 'getting data products up and running in minutes'. If I was a CEO, and someone told me that a solution could actually deliver 'immediate, actionable insights to disrupt my market and that kind of thing', I wouldn’t mind if it took a week or two to build 🙂