390 updates from Datadog and Grafana Labs in the last 30 days. We read them all so you don't have to.
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
Grafana Labs helps users get the most out of Grafana, enabling them to take control of their unified monitoring and avoid vendor lock in and the spiraling costs of closed solutions.
Datadog positions itself as a comprehensive monitoring platform designed to help IT, development, and operations teams derive actionable insights from large-scale application data, emphasizing integration and built-in analytics. Grafana Labs focuses on empowering users with open-source tools to create unified monitoring experiences, prioritizing flexibility, vendor independence, and cost control. While Datadog offers a closed, all-in-one solution with proprietary data collection and analysis, Grafana emphasizes open-source customization and interoperability with external data sources, appealing to users seeking avoid vendor lock-in and tailored monitoring setups.
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Weekly updates per vendor, last 12 weeks.
Page-type activity over the last 30 days. Brighter cells = more updates.
DatadogGrafana LabsDatadog focused heavily on expanding its AI and autonomous operations capabilities, launching several "Bits" features for automated monitoring, investigation context, and custom AI agent deployment. They also achieved FedRAMP High authorization and emphasized data residency through new BYOC Logs. In contrast, Grafana Labs concentrated on platform updates and cost management, releasing Grafana 13.1 with enhanced Git Sync and introducing business observability tools to track AI-driven data costs. While Datadog emphasized enterprise-grade security and automated incident response, Grafana Labs prioritized developer workflows, such as natural language script authoring for k6 and revamped query editors, alongside addressing a recent security incident in their GitHub environment.
Last updates we detected for each vendor.
Datadog released MITRE ATT&CK Enrichment Packs for Observability Pipelines to automatically tag security logs with attacker tactics and techniques. This feature normalizes diverse telemetry from identity, network, cloud, and endpoint source
Datadog shared a blog post regarding monitoring strategies for LLM inference workloads on Kubernetes, focusing on optimizing latency and GPU utilization through specific integrations.
Datadog shared a case study detailing how Signify utilized their observability platform to increase availability to 99.97% and reduce cloud costs by over 60%.
Datadog is looking for applicants for its Associate Designer Program (ADP), highlighting the program's rotational structure and high level of ownership for new designers.
Datadog launched Bits Agent Builder, a tool that allows users to build custom AI agents for tasks like alert investigation, security response, and cost optimization.
Grafana Labs released Grafana 13.1, which expands observability as code and brings Grafana Assistant to more data sources to streamline user workflows.
Grafana Labs has released db-auth-gateway, an open-source authenticating reverse proxy for Grafana Mimir, Loki, Tempo, and Pyroscope. This new Go-based repository aims to streamline authentication for the Grafana observability suite.
Grafana Labs released Grafana 13.1, introducing observability as code updates, expanded Grafana Assistant capabilities, and improved dashboarding workflows.
Grafana Labs introduces an experimental Agentic testing experience in Grafana Cloud that converts plain-language user journeys into runnable browser tests. This feature enables users to validate critical flows like checkout or sign-in witho
Grafana Labs is transitioning Grafana Cloud to use an internal Alertmanager for managed alerts by default. This change is being implemented plan by plan, though existing external configurations will remain functional.
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