
Datadog announced new capabilities in its log management suite, which are designed to help organizations optimize logging costs at scale and meet the stringent data retention, auditability and data residency requirements of regulated industries.
Datadog launched Flex Logs in 2023, which has since become one of its fastest-growing products. Flex Logs decouples the costs of log storage from the costs of querying. It provides both short- and long-term log retention for a nominal monthly fee without sacrificing visibility, enabling streamlined correlation between all of an organization’s logs, metrics and traces.
To help companies meet data residency regulations, policies and preferences—while further optimizing cost and efficiency—Datadog has launched new log management capabilities that build on the foundation set by Flex Logs. Datadog’s latest enhancements enable organizations to support modern SIEM and security workflows while maintaining full visibility, cost consciousness and operational efficiency:
- Archive Search queries logs from customer-owned cold storage without requiring re-indexing. Archived logs can be searched the same way as logs under retention in the Log Explorer without introducing new tools or extra training. Datadog keeps the user experience consistent, regardless of the age of logs.
- Flex Frozen is a new storage tier extending log retention to over seven years, eliminating the need for managing and securing external archives. Built for audit-heavy, compliance-driven environments, Flex Frozen simplifies data retention by keeping logs inside Datadog in order to reduce overhead, simplify reporting and analytics, and improve accessibility.
- CloudPrem enables enterprises to deploy Datadog’s indexing and search capabilities within their own infrastructure. Whether it’s due to regional data residency laws or internal compliance mandates, customers can now keep their logs local—while continuing to use the Datadog UI and workflows they trust.
“As compliance standards grow more complex and global data regulations tighten, organizations face mounting pressure to retain log data longer, search it faster and keep it where it belongs,” said Michael Whetten, VP of Product at Datadog. “With today’s launches, Datadog makes it easier to manage logs, control their costs and stay compliant without sacrificing performance, accessibility or the user experience.”
The Latest
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...