惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
V
Visual Studio Blog
IT之家
IT之家
博客园 - 聂微东
The Cloudflare Blog
月光博客
月光博客
阮一峰的网络日志
阮一峰的网络日志
S
SegmentFault 最新的问题
Apple Machine Learning Research
Apple Machine Learning Research
酷 壳 – CoolShell
酷 壳 – CoolShell
爱范儿
爱范儿
H
Help Net Security
博客园 - 叶小钗
V
V2EX
WordPress大学
WordPress大学
J
Java Code Geeks
Hugging Face - Blog
Hugging Face - Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
博客园_首页
C
Check Point Blog
B
Blog
D
DataBreaches.Net
美团技术团队
罗磊的独立博客

Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis
Datadog acquires Eppo
2025-05-06 · via Datadog | The Monitor blog

Developers and product teams face increasing challenges when trying to measure the business impact of new products. This is especially true in a world of AI-powered applications where small changes to LLM models, prompts, or UI elements can have big and often unpredictable effects on user behavior. Without the ability to systematically experiment with changes, manage their deployment, and evaluate their impact, teams are essentially making decisions in the dark—unable to confidently determine which improvements actually add value. That’s why we are pleased to announce that Eppo is joining Datadog.

What is Eppo?

Eppo is an experimentation and feature-management platform that connects directly to existing data warehouses and uses an advanced statistical engine to monitor how product changes impact key business metrics. Eppo helps product teams make data-driven decisions to provide the best possible user experience.

Datadog + Eppo

Datadog’s acquisition of Eppo brings end-to-end observability, feature management, and experimentation into a single, unified platform. By integrating Eppo’s capabilities into Datadog Product Analytics, Real User Monitoring, and Session Replay, teams can test changes, analyze user behavior, and measure business impact of code releases at scale, enabling them to move fast and ship with confidence.

Eppo will continue supporting existing customers and bringing on new customers as part of Eppo by Datadog. Stay tuned for future updates on our progress as we work to bring Eppo’s features into Datadog.