172 updates from Datadog and Better Stack 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.
Better Stack is a unified observability tool that helps you ship higher‑quality software faster. Monitor everything from websites to servers. Schedule on-call rotations, get actionable alerts, and resolve incidents faster than ever. Visualize your entire stack, aggregate all your logs into structured data, and query everything like a single database with SQL. Made to fit into your workflow with over 100+ integrations.
Datadog positions itself as a monitoring service tailored for IT, development, and operations teams managing large-scale applications, emphasizing the transformation of application-generated data into actionable insights. Better Stack frames itself as a unified observability tool designed to streamline software delivery by integrating monitoring, alerting, and workflow automation with a focus on structured data querying and workflow compatibility. Datadog emphasizes scalability and real-time data analysis across distributed systems, while Better Stack highlights structured log aggregation, SQL-based querying, and deeper integration with operational workflows through features like on-call scheduling and incident resolution.
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Weekly updates per vendor, last 12 weeks.
Page-type activity over the last 30 days. Brighter cells = more updates.
DatadogBetter StackDatadog focused heavily on expanding its AI and enterprise capabilities, launching several "Bits" features for automated monitoring, investigation, and custom AI agent deployment. They also introduced BYOC Logs for localized data residency and achieved FedRAMP High authorization. In contrast, Better Stack focused on developer experience and specialized telemetry, showcasing ready-made dashboard templates for MongoDB and PgBouncer, promoting its Agent-Reach tool for AI research, and publishing several comparisons against other observability tools. While Datadog emphasized integrated, automated AI operations and large-scale enterprise compliance, Better Stack emphasized streamlined UI architecture and specific database and tracing telemetry.
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.
Better Stack compares Datadog and Uptrace, evaluating their features, pricing models, and target users. The article highlights Datadog's comprehensive integrated platform versus Uptrace's lean, cost-effective, OTel-native APM approach.
Better Stack compares Datadog and Elastic, evaluating their strengths in observability, APM, and log management. The article highlights Datadog's seamless investigation workflow versus Elastic's scalable data platform and deployment flexibi
Better Stack evaluates Datadog and Graylog, distinguishing between Datadog's full-stack observability platform and Graylog's specialized log management focus. The article examines their architectures, pricing models, and suitability for dif
Better Stack evaluates the architectural and pricing differences between Datadog and Coralogix. The comparison highlights Datadog's seamless integrated workflow versus Coralogix's in-stream processing and customer-owned storage model.
Better Stack reshared Jelena Lukic's post discussing the critical importance of observability, logs, and incident management once software is running in production.
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