176 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 AI-driven observability and large-scale enterprise migrations, highlighting case studies from Experian and Nomad Health that emphasize cost reduction and AI scaling. Their activity centered on upcoming summit programming and expanding their AI research and product management teams. In contrast, Grafana Labs released several technical product updates, including Digital Experience Monitoring enhancements, a new Graphviz panel, and secrets management integration for AWS. Grafana Labs also detailed specific pricing models for its Assistant AI and announced the transition of certain features into Long-Term Support (LTS) or into the Grafana Assistant framework.
Last updates we detected for each vendor.
Datadog offers a unified observability platform that aggregates metrics, logs, and traces across the full DevOps stack. The service provides deep visibility into frontend and backend performance, network monitoring across hybrid environment
Datadog is hosting a live episode of its Datadog On Air podcast from the Datadog Summit in San Francisco. The episode will feature discussions with leaders and engineers regarding building and running AI in production.
Datadog shares an employee spotlight on Natalie, a Senior Enterprise Customer Success Manager in Sydney, to highlight career growth opportunities within the company. The post emphasizes how Datadog employees can evolve their roles and drive
Datadog offers a unified observability platform that aggregates metrics, logs, and events across the full DevOps stack. The platform provides deep visibility into frontend and backend performance, network monitoring across hybrid environmen
Datadog is hosting the #DatadogSummit in San Francisco, featuring an exclusive discussion on how AI is expanding engineering capabilities and how product leaders can harness this technology.
Grafana Labs is updating its Fleet Management Collector API to accommodate a breaking change in the Open Agent Management Protocol (OpAMP) specification. This change impacts how users retrieve a collector's effective configuration via the H
Grafana Labs shared details regarding the memory layer of Grafana Assistant, which enables natural language querying across an entire observability stack. This feature allows users to search through metrics, incidents, and dashboards using
Grafana Labs reshared Martin Olsson's post regarding his two-year project, Iris, which monitors internet connectivity in Sweden using various probes and data collection methods.
Grafana Labs discussed the concept of adaptive delivery loops and how Grafana Cloud's AI capabilities can automate operational checks and investigate telemetry anomalies.
Grafana Labs shared insights on standardizing their data source configurations behind a single, machine-readable schema to benefit both humans and AI agents.
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