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

D
DataBreaches.Net
Apple Machine Learning Research
Apple Machine Learning Research
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
S
SegmentFault 最新的问题
博客园 - 聂微东
罗磊的独立博客
W
WeLiveSecurity
博客园_首页
Scott Helme
Scott Helme
V
Visual Studio Blog
T
The Exploit Database - CXSecurity.com
G
Google Developers Blog
大猫的无限游戏
大猫的无限游戏
Latest news
Latest news
L
Lohrmann on Cybersecurity
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
A
About on SuperTechFans
F
Full Disclosure
Y
Y Combinator Blog
D
Darknet – Hacking Tools, Hacker News & Cyber Security
博客园 - 司徒正美
博客园 - Franky
C
CXSECURITY Database RSS Feed - CXSecurity.com
F
Fortinet All Blogs
Blog — PlanetScale
Blog — PlanetScale
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
阮一峰的网络日志
阮一峰的网络日志
S
Schneier on Security
雷峰网
雷峰网
博客园 - 【当耐特】
P
Privacy International News Feed
C
Cyber Attacks, Cyber Crime and Cyber Security
Engineering at Meta
Engineering at Meta
aimingoo的专栏
aimingoo的专栏
MongoDB | Blog
MongoDB | Blog
J
Java Code Geeks
T
Tor Project blog
V
V2EX
爱范儿
爱范儿
C
Check Point Blog
T
Threatpost
Project Zero
Project Zero
量子位
V
Vulnerabilities – Threatpost
Know Your Adversary
Know Your Adversary
I
Intezer
G
GRAHAM CLULEY
P
Privacy & Cybersecurity Law Blog
GbyAI
GbyAI
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

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
Expand your monitoring reach with the Datadog Marketplace
Michael Gerstenhaber, Jonathan Epstein · 2020-08-11 · via Datadog | The Monitor blog
Michael Gerstenhaber

Michael Gerstenhaber

Jonathan Epstein

Jonathan Epstein

The Datadog Partner Network (DPN) is a rapidly growing registry of hundreds of leaders in the cloud service industry who choose Datadog to meet their infrastructure-monitoring needs. Partners are well-acquainted with more than 1,000 technology integrations available to Datadog customers, but with huge diversity in technical stacks used by our customers, there’s always demand for more customization and flexibility. Our partners have worked to meet this need by building their own tools, such as custom integrations or expanded functionality, and are eager to share their work with the Datadog community.

Today, we’re thrilled to announce the launch of the Datadog Marketplace, a digital marketplace where developers can trade their third-party applications with other Datadog users. Backed by strict vetting standards and a fully managed billing system, the Marketplace introduces new ways for Datadog partners to increase the scope of their monitoring practices and build new tools on the Datadog platform—all while expanding the awareness of their brand.

The Marketplace lets developers trade their Datadog applications.

Your one-stop integration shop

You can access the Marketplace page from the Marketplace tab in the Datadog app. Clicking on any available app provides detailed information, including a product description, pricing, installation instructions, data collection specifications, and customer support contact details. Marketplace integrations follow the same simple installation workflow as standard Datadog integrations, and come with custom dashboards, metrics, and recommended monitors out-of-the-box, making it easy to monitor your new services and cloud tools from a single pane of glass within minutes.

Clicking on an app gives you more product details, including installation instructions and pricing specifics.

We’re excited to have worked with our partners to make the following integrations available in the Marketplace at launch:

  • Fairwinds is offering an integration that monitors Kubernetes and containers and provides recommendations to improve security, optimize costs, and increase reliability.

  • RapDev is offering 4 integrations: an Oracle TimesTen integration to monitor your TimesTen in-memory databases, a Microsoft Office365 integration to monitor your Office products like Exchange and Outlook,a Datadog integration that generates and distributes PDF reports of your Datadog dashboards to your teammates at scheduled intervals, and an integration that monitors your email mailboxes and measures full send-receive synthetic message deliveries.

  • IO Connect Services is offering an integration that lets you monitor your MuleSoft Anypoint Platform servers and applications and gain insight into the allocation of your Anypoint Platform resources.

  • Trek10 is offering an integration that checks your AWS account for services that are not being monitored and offers best practice guidelines.

Paid Marketplace applications can be trialed for 14 days before charges are applied to your account. The Datadog Product and Engineering teams are reviewing new integration submissions from our partners every day, so be sure to routinely check the Marketplace for the latest offerings and most up-to-date pricing details and installation instructions.

Join the Network

Beyond the ability to publish applications on the Marketplace, membership in DPN comes with a number of benefits, including access to dedicated sales and marketing resources, as well as premium Datadog product training materials. With membership tracks for managed service providers, consultants and system integrators, technology partners, and more, the network has something for partners in just about every sector of the cloud computing space. To begin your application, visit the application portal.

The Marketplace is open

The Marketplace turns Datadog into a development platform and opens up new possibilities for extending your monitoring reach. You can start browsing the Marketplace and demoing partner applications now, And if you aren’t already using Datadog, get started with a 14-day free trial.