530 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 LabsGrafana Labs focused heavily on "agentic operations" this period, releasing a comprehensive suite of AI-driven tools including the gcx CLI, a Cloud MCP server, and Assistant Workspace to enable AI agents to interact with telemetry data. Their updates emphasize automating observability for AI workloads and providing mobile and desktop interfaces for AI assistants. In contrast, Datadog’s activity centered on integrating observability with existing AI workflows, such as a Perplexity integration and new "skills" for its Bits Chat tool. While Grafana Labs prioritized building an ecosystem for autonomous AI agents, Datadog focused on enhancing natural language querying for cloud costs and providing native support for OpenTelemetry data.
Last updates we detected for each vendor.
Datadog shared a case study detailing how LayerX uses Datadog Agent Observability to achieve 40x faster investigations and 80% faster AI iteration cycles.
Datadog launched an integration with Perplexity's Computer that enables users to monitor metrics, logs, traces, and security vulnerabilities directly through a single chat interface. The integration also includes Agent Observability to trac
Datadog discussed the security challenges posed by AI agents and how their platform provides visibility across code, cloud, and runtime to protect the SOC. The company is also showcasing its security solutions at Black Hat USA.
Datadog shared information about its Runtime Prioritization Engine (RPE), which uses live observability data to automate resource ownership and risk prioritization for security teams.
Datadog is promoting its presence at Black Hat USA, highlighting a technical session by Olivia Gallucci on macOS security vulnerabilities and inviting attendees to visit their booth.
Grafana Labs is redesigning Assistant Search to provide better context-aware results for users' specific needs.
Grafana Labs released gcx, a new CLI tool specifically designed to enable AI agents to interact with Grafana more efficiently and reliably.
Grafana Labs shared a video from their AI Week event discussing the intersection of AI and observability. The content explores the differences between AI Observability and Observability for AI to help users navigate the domain.
Grafana Labs celebrates a successful collaboration with Deutsche Telekom, where their technology helped ensure a seamless viewing experience for over 200 million people during the World Cup.
Grafana Labs promotes Grafana Cloud's ability to provide deep observability for Terraform users. By collecting metrics, logs, and traces, the platform helps users understand the root causes of slow Terraform runs.
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