Operations | Monitoring | ITSM | DevOps | Cloud

Despite the nonstop warnings, millions of users still gamble with their data. A 2023 survey by Acronis revealed that 41% of people rarely or never back up their digital files, and businesses aren’t much better. Fewer than 20% of businesses back up their SaaS data, even though tools like Google Workspace and Microsoft 365 don’t guarantee full recovery after a loss or attack. The consequences?

The information age has leapt forward with the explosive rise of generative AI. Capabilities like natural language processing, image generation, and code automation are now mainstream — driving the business goals of winning customers, enhancing productivity, and reducing costs across every sector. New large language models are emerging almost daily, existing language models are optimized in a frantic race to the top. There seems no stopping the AI boom.

At least once a week, a team reaches out to discuss migrating from an established SIEM or analysis platform. This major decision is influenced by several compelling factors, which can create significant work for engineering teams and pose risks to the business. The cost of switching to a new platform, often referred to as displacement costs, can be substantial.

When things break, logs are often the first place you turn to figure out what's going on, which is why Datadog makes it easy to find them. The ability to pivot between traces, metrics, and logs in one place speeds up investigations and helps teams move faster during incidents. That level of correlation is a big reason so many teams rely on Datadog. ‍

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!