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

The Hacker News
The Hacker News
Google Online Security Blog
Google Online Security Blog
K
Kaspersky official blog
D
Darknet – Hacking Tools, Hacker News & Cyber Security
S
Schneier on Security
C
Cybersecurity and Infrastructure Security Agency CISA
Security Archives - TechRepublic
Security Archives - TechRepublic
Hacker News - Newest:
Hacker News - Newest: "LLM"
Cisco Talos Blog
Cisco Talos Blog
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Recent Commits to openclaw:main
Recent Commits to openclaw:main
Cyberwarzone
Cyberwarzone
L
LINUX DO - 最新话题
PCI Perspectives
PCI Perspectives
酷 壳 – CoolShell
酷 壳 – CoolShell
云风的 BLOG
云风的 BLOG
N
News and Events Feed by Topic
N
News and Events Feed by Topic
V
Vulnerabilities – Threatpost
T
Troy Hunt's Blog
GbyAI
GbyAI
C
CERT Recently Published Vulnerability Notes
G
Google Developers Blog
Microsoft Azure Blog
Microsoft Azure Blog
量子位
Scott Helme
Scott Helme
月光博客
月光博客
Attack and Defense Labs
Attack and Defense Labs
aimingoo的专栏
aimingoo的专栏
博客园 - 聂微东
Project Zero
Project Zero
G
GRAHAM CLULEY
博客园 - 【当耐特】
Recorded Future
Recorded Future
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
小众软件
小众软件
D
DataBreaches.Net
T
The Blog of Author Tim Ferriss
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
O
OpenAI News
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
V
V2EX
Stack Overflow Blog
Stack Overflow Blog
爱范儿
爱范儿
S
Security @ Cisco Blogs
The Last Watchdog
The Last Watchdog
MongoDB | Blog
MongoDB | Blog
H
Hacker News: Front Page
Latest news
Latest news
P
Proofpoint News Feed

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
2024-06-13 · via Datadog | The Monitor blog

Last August we announced the Datadog Ambassador Program, which recognizes and highlights some of our extraordinary individuals who share their experiences using Datadog and help to foster our community.

Over the past nine months, Datadog Ambassadors have continued contributing to our community through talks, developing courses, and writing blog posts. Here are a few highlights:

This year, the Datadog Ambassador program is doubling in size. We’re thrilled to introduce our nine new Datadog Ambassadors!


Apostolis Apostolidis

photo of Apostolis Apostolidis

Apostolis, or Toli, is a software engineering practitioner who believes that learning and working together are catalysts for high-performing, software-first teams who care about how their software serves their customers. Toli has spoken at many Datadog events, including DASH 2021 and 2023 and at our London Summit this past March. You can view all of his talks here. Toli has also published a number of blog posts on his personal blog and on Medium, and he is an editor of The Side Dish, Flipdish’s product engineering blog.



Ashley Parks

photo of Ashley Parks

Ashley is a senior DevOps engineer and innovator with a passion for problem solving and stability. With almost six years of experience at Toyota Connected North America, Ashley has played a crucial role in the infrastructure for their Telematics Service Platform. Known for her expertise in the Datadog platform, Ashley is always open to sharing insights and best practices. Ashley has spoken at DASH twice, in 2022 and 2023.



Carles Javierre

photo of Carles Javierre

Carles is an entrepreneur who helps businesses improve their infrastructure through things like migrating them to the cloud, improving their cybersecurity posture, and providing them with the highest level of observability available on the market. With Datadog, he guides teams in the right path to tidy up the performance of their services, reducing costs, improving reliability, their overall user experience as well as finding logical solutions to what seemed to be impossible problems.



Changhyeon Yoon

photo of Changhyeon Yoon

Changhyeon works in frontend and DevOps, using React.js and Flutter. He is interested in UI/UX monitoring, CI/CD optimization, and error tracking to provide stable and pleasant services to users. He is active in the AWS local community and is also a Microsoft Learn Student Ambassador.



Ibukun Itimi

photo of Ibukun Itimi

Ibukun is an engineering manager with experience across several platform engineering domains. She has a passion for building high-performing teams, and for advocating for a culture of building platform products that improve developer experience and productivity. You can check out her course DevOps Foundations: Monitoring and Observability on LinkedIn Learning.



Santiago Gómez Sáez

photo of Santiago Gómez Sáez

Santiago is a lead cloud architect who works with teams at Volkswagen Group to migrate workloads to cloud environments as part of their digitalization efforts. Santiago is responsible for a skilled team that owns a multi-region API platform, and he works to foster the adoption and compliant rollout of Datadog worldwide. His overarching objective is to develop architectures that optimize—through standards and automation compliance—bottlenecks encountered in highly regulated ecosystems. Santiago spoke at DASH in 2022.



Kano Ichiro

photo of Kano Ichiro

Kano leads the Cloud Managed Services team at Toshiba Digital Solutions. His team implements and operates eight multi- and hybrid-cloud environments that make up the IT platform for the solutions provided by Toshiba Group. They also solve a broad range of observability problems using Datadog’s comprehensiveness platform.



Juliano Marcos Martins

photo of Juliano Marcos Martins

With over 20 years of IT industry experience, Juliano is a passionate tech leader and coder who thrives on complex project management and high-performance delivery. He has led teams in various locations worldwide, combining leadership with hands-on coding skills in Java, .Net, C#, Go, and Node.js. He has extensive experience in cloud-based environments, utilizing AWS, GCP, and Azure. Juliano also spoke at DASH in 2023.



Anatoly Mikhaylov

photo of Anatoly Mikhaylov

Anatoly is a senior staff reliability engineer at Zendesk. His team is responsible for capacity management, infrastructure rightsizing, building sophisticated observability, running performance workshops, and ensuring large complex systems are up and running reliably and cost efficiently. His team runs observability workshops and keeps their Datadog integration up to date. He also contributes to Zendesk Engineering and NGINX blogs, publishes with USENIX’s ;login: magazine, and represents Zendesk at several tech conferences and online webinars.

You can read more about the Datadog Ambassador program here.