137 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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150,000+ companies tracked · 137M URLs counted · Updated August 17, 2026 · GDPR compliant · EU infrastructure
Weekly updates per vendor, last 12 weeks.
Page-type activity over the last 30 days. Brighter cells = more updates.
DatadogBetter StackDatadog demonstrated significant activity focused on enterprise-scale observability and AI integration, releasing updates for session replay, work management for AI agents, and systemic risk detection. Their recent output is characterized by numerous case studies highlighting large-scale migrations from competitors like Splunk and cost-optimization successes in cloud and AI infrastructure. In contrast, Better Stack focused on specialized developer tools and niche AI applications, such as "Anti-slop" to detect AI-generated code and local ASR cleaning models. While Datadog emphasized unified full-stack security and observability for large organizations, Better Stack prioritized granular features like rapid data searching and specific integrations for AI SRE and Claude Code.
Last updates we detected for each vendor.
Datadog is promoting its upcoming Datadog Summit in San Francisco, highlighting a diverse lineup of speakers covering AI-driven debugging, incident response automation, and agentic SDLC workflows.
Datadog shared a case study highlighting how LayerX uses the AI Workforce platform to improve AI workflow visibility and reduce LLM provider triage time by 95%.
Datadog offers a unified observability platform that aggregates metrics, logs, and events across the full DevOps stack. The platform integrates security and observability to provide real-time threat detection and performance monitoring acro
Datadog shared a case study detailing how Krafton PUBG Studio optimized their incident response using Datadog, achieving a 3.89-minute MTTD and AI-driven postmortems.
Datadog is teasing its upcoming 'This Month in Datadog' episode, which will feature a preview of the Automated Dashboard Investigation tool to help users analyze metrics.
LLMfit is a Rust-based terminal tool that analyzes hardware to determine which LLM quantizations will run effectively on a user's machine. The tool estimates performance metrics like tokens per second and memory utilization before any model
xAI released Grok 4.6, a model optimized for coding and long-running agents, featuring improved reasoning capabilities. The release highlights competitive pricing and a robust developer ecosystem including Cursor integration and advanced me
Better Stack discusses FreeToken, an open-source serving engine that optimizes Mixture-of-Experts (MoE) models through dynamic expert caching. The engine achieves significantly higher speeds than Ollama by treating model loading as a schedu
Better Stack shares details about S1-mini, a 600M parameter model designed to clean raw ASR transcripts locally. The model normalizes spoken text by removing fillers and formatting data like emails and numbers without altering intent.
Better Stack explains how to configure outgoing email notifications for incidents. Users can send alerts to external email addresses and customize message templates using incident variables.
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