Operations | Monitoring | ITSM | DevOps | Cloud

A year ago, we set out to transform log analytics pricing by making it as flexible, transparent, and as customer-friendly as possible. We built a model that aligns cost with business value, charging only for data storage and analytics executed. With Flex Licensing, customers can scale usage up or down without breaking the bank, eliminating hidden costs and inefficient licensing structures. There is no more pre-planning or tiering of log data; there is just log ingest with sensible pricing.

BBVA transformed customer experience and operational insight by using Elastic to unify 45B+ data points across 50+ banking services, with sub-second response times. When BBVA's David Jiménez Ausin looks back at 2014, he sees a very different banking landscape. “Almost everything was still via web channel, as the app wasn't as developed as it is now, and each service had its information in its own systems,” he recalls.

We launched Adaptive Logs last year to help you optimize your log volumes and costs in Grafana Cloud, and we’ve been hard at work ever since making improvements based on your feedback. Over the past couple of months, we’ve delivered several new features to help reduce toil, apply recommendations with precision, and—what we’re most excited about—confidently optimize your log ingestion while still providing peace of mind to your end users!

Python's logging system provides powerful tools for application monitoring, debugging, and maintenance. This comprehensive guide covers everything from basic setup to advanced implementation strategies, helping you build robust logging solutions for your Python applications.

GDPR compliance for logs can be tricky—especially when you're trying to maintain system visibility and protect user data at the same time. For SREs and IT teams, it’s a balancing act between staying on the right side of privacy laws and not losing the context you need to troubleshoot. This guide walks through practical ways to handle personal data in logs, set up retention rules that make sense, and stay compliant without creating unnecessary friction.

Fragmented tools, rising costs, and security alerts are holding FSIs back. Learn how to unify data, control costs, and empower analysts with an intelligent, cloud-optimized data architecture.

Almost two years ago I wrote the first installment of what was supposed to be a 3 part series on Serverless Monitoring. Parts two and three never materialized. Today, however, I am revisiting that original idea and expanding upon it. I hope to succeed this time in making it a full three-part series. For this first installment (Revisited), I will again work with Google Cloud Run to monitor MongoDB Atlas.