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

S
Schneier on Security
博客园_首页
量子位
博客园 - 司徒正美
S
SegmentFault 最新的问题
J
Java Code Geeks
小众软件
小众软件
博客园 - 【当耐特】
The Register - Security
The Register - Security
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Microsoft Azure Blog
Microsoft Azure Blog
G
Google Developers Blog
Blog — PlanetScale
Blog — PlanetScale
T
Tailwind CSS Blog
博客园 - Franky
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
G
GRAHAM CLULEY
Cyberwarzone
Cyberwarzone
腾讯CDC
Apple Machine Learning Research
Apple Machine Learning Research
V
Visual Studio Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
The Hacker News
The Hacker News
aimingoo的专栏
aimingoo的专栏
V
Vulnerabilities – Threatpost
P
Palo Alto Networks Blog
Scott Helme
Scott Helme
L
LINUX DO - 热门话题
F
Full Disclosure
D
DataBreaches.Net
Martin Fowler
Martin Fowler
Cisco Talos Blog
Cisco Talos Blog
L
LINUX DO - 最新话题
云风的 BLOG
云风的 BLOG
C
Check Point Blog
T
Threatpost
Google DeepMind News
Google DeepMind News
WordPress大学
WordPress大学
W
WeLiveSecurity
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
有赞技术团队
有赞技术团队
Hugging Face - Blog
Hugging Face - Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
L
Lohrmann on Cybersecurity
Last Week in AI
Last Week in AI
T
Tor Project blog
T
Troy Hunt's Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
S
Security Affairs
SecWiki News
SecWiki News

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 Monitor Aruba Central in Datadog How we centralize and remediate risks with Datadog Case Management Accelerate incident response with Datadog and ServiceNow Monitor your application and network load balancer logs Understanding Karpenter architecture for Kubernetes autoscaling Tools for collecting metrics and logs from Karpenter Monitor Karpenter with Datadog What your product data is actually saying Key metrics for monitoring Karpenter Securing Datadog’s platform in the AI age: The role of observability data Four ways engineering teams use the Datadog MCP Server to power AI agents Approaching your observability migration with the right mindset Meet the new Bits AI SRE: Deeper reasoning, twice as fast Key learnings from the 2026 State of DevSecOps study Use plain English to query your multi-cloud infrastructure in Resource Catalog Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring Protect your OCI resources with Datadog Cloud Security This Month in Datadog - February 2026 Amazon EC2 security: How misconfigured and public AMIs expand your cloud attack surface Enable end-to-end visibility into your Java apps with a single command Measure and improve mobile app startup performance with Datadog RUM Evaluating our AI Guard application to improve quality and control cost Identify untested code across every level of your codebase Make use of guardrail metrics and stop babysitting your releases Monitor Versa Networks SD-WAN performance in Datadog Improve performance and reliability with APM Recommendations Remediate transitive vulnerabilities faster with Datadog Software Composition Analysis Generate audit-ready vulnerability and compliance reports with Datadog Sheets Monitor Fortinet FortiManager performance in Datadog Improve test coverage across codebases with Datadog Code Coverage Move fast, don’t break things: Consistent testing standards at scale Enrich logs with ServiceNow CMDB context before routing to any SIEM or logging tool Monitor Lustre with Datadog Make faster, better product decisions with Datadog Product Analytics Surface and remediate runtime posture issues with Workload Protection Findings Protect agentic AI applications with Datadog AI Guard How to optimize JavaScript code with CSS Trace Google Pub/Sub workloads in Cloud Run with Datadog Detect human names in logs with ML in Sensitive Data Scanner How we cut our NLQ agent debugging time from hours to minutes with LLM Observability Debug PostgreSQL query latency faster with EXPLAIN ANALYZE in Datadog Database Monitoring Datadog acquires Propolis Unify and correlate frontend and backend data with retention filters Scale compliance across global frameworks with Datadog Cloud Security Monitor Arista VeloCloud SD-WAN performance with Datadog Building reliable dashboard agents with Datadog LLM Observability Simplify log collection and aggregation for MSSPs with Datadog Observability Pipelines Mitigation for Node.js denial-of-service vulnerability affecting Datadog APM Automate flaky test fixes with the Bits AI Dev Agent and Test Optimization How we built an AI SRE agent that investigates like a team of engineers Datadog integrations 2025 recap: Observability for AI, security, and hybrid cloud Design effective executive dashboards with Datadog Implement dbt data quality checks with dbt-expectations Bring faster visibility into AWS Lambda functions with remote instrumentation Troubleshoot faster with the GitLab Source Code integration in Datadog How Cambia Health Solutions saved $30,000 monthly with Cloud Cost Management and the Datadog Resource Catalog Normalize any logs for Cloud SIEM with Datadog's OCSF processor Optimizing Datadog at scale: Cost-efficient observability at Zendesk Detect, diagnose, and resolve network issues easily with CNM Network Health Connect engineering errors to user impact in early-stage products Cilium configuration for Kubernetes operations at scale Designing feedback loops for progressive delivery Ship features faster and safer with Datadog Feature Flags Choosing the right OpenTelemetry Collector distribution Route your monitor alerts with Datadog monitor notification rules Automate Cloud SIEM investigations with Bits AI Security Analyst Cloud threat detection: How to identify risky activity across control and data planes Collecting Kafka performance metrics Monitoring Kafka with Datadog Monitoring Kafka performance metrics
Introducing this year’s new Datadog Ambassadors and the new Datadog Champions program
David Edoh-Bedi · 2026-05-26 · via Datadog | The Monitor blog
David Edoh-Bedi

David Edoh-Bedi

Since we launched the Datadog Ambassadors program in 2023, this community of Datadog experts has continued to grow. Today we’re introducing the 2026 Datadog Ambassadors cohort, along with a new program: Datadog Champions.

The 2026 Datadog Ambassadors

This year’s Ambassadors cohort covers an impressive range: cloud security and SIEM specialists, SRE practitioners, platform engineers, DevOps leaders, and practitioners at the frontier of AI observability and LLM monitoring. Add to that the community builders who have organized user groups from São Paulo to Fukuoka to Lisbon, and you have the most geographically diverse and technically broad group we’ve had yet.

Countries represented by our Datadog Ambassadors.
A global map showing many pins spread across the Americas, Europe, and Asia.
Countries represented by our Datadog Ambassadors.

What our Ambassadors have been up to

Here are some of the standout contributions from the past year:

In their own words

Nobody describes this community better than the people who are part of it. Here’s what a few of this year’s Ambassadors had to say.

Meet the full 2026 Datadog Ambassadors cohort at datadoghq.com/ambassadors/.

Introducing Datadog Champions

The Datadog community is larger and more active than any single program can capture. Datadog Champions is our answer to that. It’s a new program to recognize practitioners who are contributing to the ecosystem, publishing content, engaging with their communities, and building their technical voice. We selected 25 of them across 11 countries to make up the inaugural 2026 cohort.

Countries represented by our Datadog Champions.
A global map showing many pins spread across the Americas, Europe, and Asia.
Countries represented by our Datadog Champions.

The 2026 Champions cohort

Each Champion was selected for the impact their work has on the broader community. One runs the infrastructure behind PyPI, the package repository nearly every Python project depends on. Another spent months gathering feedback on Datadog Cloud Cost Management, brought it to our Paris office in person, and watched that feedback shape the product. A third repeatedly ran Datadog experiments at Brazil’s largest bank until the labs added up to a Udemy course. A fourth, based in Seoul, has spent 3 years running Datadog certification study groups as long-term learning communities. They have helped more than 300 engineers stay connected to the ecosystem after passing certification exams.

Meet the full 2026 Datadog Champions cohort at datadoghq.com/champions.

What it means to be a Champion

Being selected as a Champion means joining a private community of practitioners who are invested in observability. Champions have direct lines to the product teams building Datadog and are among the people helping to shape what gets built next. Some of the benefits include:

  • Content amplification and public recognition through the Datadog Champions directory and a Credly badge

  • A free Datadog certification exam voucher

  • A DASH pass

Want to get involved?

If you’re contributing to the community and want to be part of either program, we’d love to hear from you. And if you’re heading to DASH in New York on June 9–10, come find us.