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

aimingoo的专栏
aimingoo的专栏
V
V2EX
G
Google Developers Blog
F
Full Disclosure
Martin Fowler
Martin Fowler
宝玉的分享
宝玉的分享
H
Hacker News: Front Page
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
NISL@THU
NISL@THU
G
GRAHAM CLULEY
V
Vulnerabilities – Threatpost
Hacker News - Newest:
Hacker News - Newest: "LLM"
A
About on SuperTechFans
The Cloudflare Blog
C
Cisco Blogs
D
DataBreaches.Net
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Vercel News
Vercel News
P
Privacy International News Feed
Microsoft Security Blog
Microsoft Security Blog
Help Net Security
Help Net Security
Recorded Future
Recorded Future
PCI Perspectives
PCI Perspectives
S
Schneier on Security
AI
AI
N
News | PayPal Newsroom
雷峰网
雷峰网
C
Cyber Attacks, Cyber Crime and Cyber Security
P
Proofpoint News Feed
The Last Watchdog
The Last Watchdog
L
LINUX DO - 最新话题
Hugging Face - Blog
Hugging Face - Blog
Apple Machine Learning Research
Apple Machine Learning Research
Schneier on Security
Schneier on Security
S
Securelist
云风的 BLOG
云风的 BLOG
Stack Overflow Blog
Stack Overflow Blog
博客园_首页
AWS News Blog
AWS News Blog
TaoSecurity Blog
TaoSecurity Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Recent Commits to openclaw:main
Recent Commits to openclaw:main
博客园 - 三生石上(FineUI控件)
C
CXSECURITY Database RSS Feed - CXSecurity.com
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
Cloudbric
Cloudbric
C
Cybersecurity and Infrastructure Security Agency CISA
Project Zero
Project Zero
C
Check Point Blog
S
Security Affairs

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
New Microsoft partnership embeds Datadog natively in the Azure portal
Steve Harrington · 2020-09-29 · via Datadog | The Monitor blog
Steve Harrington

Steve Harrington

Datadog Product Manager

We are excited to announce a new partnership with Microsoft Azure, which has enabled us to build streamlined experiences for purchasing, configuring, and managing Datadog directly inside the Azure portal. This first-of-its-kind integration of a third-party service into a public cloud provider reduces the learning curve for using Datadog to monitor the health and performance of your applications in Azure—and sets you up for a successful cloud migration or modernization. From the Azure portal, you can now:

  • Purchase a Datadog plan and consolidate billing through the Azure Marketplace

  • Configure single sign-on when you create a new Datadog account

  • Easily install the Datadog Agent on multiple Azure hosts at once

  • Start sending Azure platform logs and metrics to Datadog

  • View and manage which Azure resources are monitored by Datadog

A simplified onboarding experience

Our new partnership with Microsoft Azure allows you to go from shopping for a Datadog plan in the Azure Marketplace to visualizing real-time Azure metrics in your Datadog account in minutes.

Get immediate insights into your Azure environment from the moment you start using Datadog.
Get immediate insights into your Azure environment from the moment you start using Datadog.
Get immediate insights into your Azure environment from the moment you start using Datadog.

Once you’ve purchased a Datadog plan through the Azure Marketplace, you’ll immediately start receiving standard Azure Monitor metrics (plus a number of unique Datadog-generated Azure metrics) in your new Datadog account. The log-forwarding process has also been completely automated; rather than building out a log-forwarding pipeline with Diagnostic Settings, Event Hubs, and Functions, you can configure everything with just a few clicks. You can also use tag-based filters to limit which hosts Datadog will collect metrics for, as well as which resources will send their Azure platform logs to Datadog, as shown in the screenshot below.

Optionally limit metric and log collection using tag-based filters, or just send everything.
Optionally limit metric and log collection using tag-based filters, or just send everything.
Optionally limit metric and log collection using tag-based filters, or just send everything.

To further simplify the setup process, you can enable single sign-on with Microsoft Entra ID during Datadog account creation. Just specify a Datadog Microsoft Entra ID App (creating one is easy with the new Datadog Enterprise Gallery app), and you’re all set.

Manage the Datadog integration from within the Azure portal

After you’ve finished setting up your account, you can manage the integration between Azure and Datadog with the help of a native Datadog resource blade. The resource blade provides a number of tools to help you track, configure, and deploy Datadog inside your Azure environment. At a glance, you can verify which resources are sending standard Azure metrics and logs—and make changes as needed.

See which resources are sending metrics and logs to Datadog.
See which resources are sending metrics and logs to Datadog.
See which resources are sending metrics and logs to Datadog.

The resource blade also offers a new way to install the Datadog Agent on one, many, or all of your Azure VMs at once. Just set the Datadog API key you want to use, select the desired Azure VMs, and click “Install”. This same blade includes a detailed Agent summary with live updates from Datadog, so you can quickly view which Azure VMs have the Agent, which version is installed, which integrations are configured, and which installation method was used. This information provides a useful sanity check—even if you’re managing the Datadog Agent with other tools such as Chef, Puppet, or Ansible, or if you’re in the process of migrating from one orchestration tool to another.

Get a quick overview of the Datadog Agents running on your Azure VMs, and install/uninstall on desired hosts through the Azure portal UI.
Get a quick overview of the Datadog Agents running on your Azure VMs, and install/uninstall on desired hosts through the Azure portal UI.
Get a quick overview of the Datadog Agents running on your Azure VMs, and install/uninstall on desired hosts through the Azure portal UI.

The new Datadog App Services Extension can also be added, managed, and deployed to your Azure Web Apps through the Datadog resource blade. This is our simplest APM setup process to date, as it allows you to visualize distributed traces from your applications with no manual configuration at all.

Consolidate Datadog and Azure costs in a single invoice

Datadog’s new listing in the Azure Marketplace simplifies the purchasing and invoicing processes for new Datadog customers. When you purchase and create a new Datadog account through the Azure Marketplace, all of your Datadog usage will appear directly on your Azure invoice.

This consolidated approach to billing eliminates the need for a separate invoice from Datadog and allows your Datadog usage to count towards any committed spend with Azure. This can help streamline the internal approval process at your company, since increasing an existing Azure budget (or allocating unused funds from a Microsoft Enterprise Agreement) is often simpler than seeking approval for a new third-party tool.

Get started today

This collaboration between Datadog and Azure–which we kicked off during Microsoft Ignite 2020—makes it easier than ever to leverage Datadog’s powerful observability, compliance, and security capabilities for a successful cloud journey in Azure. The new Azure integration is available for all Datadog organizations on our US3 site, whether you created your account through the Azure marketplace or directly with us. To get started, see our documentation or sign up for a 14-day free trial.