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

Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
V
V2EX
大猫的无限游戏
大猫的无限游戏
腾讯CDC
博客园 - Franky
WordPress大学
WordPress大学
Jina AI
Jina AI
GbyAI
GbyAI
云风的 BLOG
云风的 BLOG
B
Blog RSS Feed
Last Week in AI
Last Week in AI
The Cloudflare Blog
V
Visual Studio Blog
P
Proofpoint News Feed
博客园 - 叶小钗
L
LangChain 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
Recorded Future
Recorded Future
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
T
The Blog of Author Tim Ferriss
人人都是产品经理
人人都是产品经理
Y
Y Combinator Blog
罗磊的独立博客
雷峰网
雷峰网
博客园 - 【当耐特】
Microsoft Security Blog
Microsoft Security Blog
L
LINUX DO - 热门话题
Cisco Talos Blog
Cisco Talos Blog
L
Lohrmann on Cybersecurity
Martin Fowler
Martin Fowler
Spread Privacy
Spread Privacy
MongoDB | Blog
MongoDB | Blog
Engineering at Meta
Engineering at Meta
C
Cybersecurity and Infrastructure Security Agency CISA
小众软件
小众软件
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
Recent Announcements
Recent Announcements
T
Threat Research - Cisco Blogs
Security Archives - TechRepublic
Security Archives - TechRepublic
量子位
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
宝玉的分享
宝玉的分享
D
DataBreaches.Net
T
The Exploit Database - CXSecurity.com
Vercel News
Vercel News
IT之家
IT之家
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
T
Troy Hunt's Blog
aimingoo的专栏
aimingoo的专栏

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
Ansible + Datadog: Monitor your automation, automate your monitoring
Jean-Mathieu Saponaro · 2016-01-06 · via Datadog | The Monitor blog
Jean-Mathieu Saponaro

Jean-Mathieu Saponaro

When you are managing a large number of servers, a good infrastructure automation tool can make your life much easier. But once you have automated your provisioning, deployment and configuration management, you want some insights into how it’s all working: Did the tasks you applied to your infrastructure succeed? Are your provisioning and deployment steps efficient?

To answer these questions and more, today we are happy to introduce a new integration with Ansible, which joins our other automation integrations: Chef and Puppet.

Ansible default dashboard

What Ansible does

In an IT automation market where Chef and Puppet have become standards, Ansible has managed to make a name for itself, focusing at first on OpenStack and later integrating with other cloud infrastructure providers like AWS and Google Cloud Platform. Unlike other automation tools, Ansible uses a single controlling machine which orchestrates and manages the other nodes over SSH. This structure makes it easy to understand and use.

Recently acquired by Red Hat, Ansible can be used to dynamically provision your cloud infrastructure, to deploy and orchestrate your applications, to manage configurations, and for ad hoc tasks.

Ansible customers include Twitter, Evernote, Electronic Arts, Atlassian, Cisco, Hootsuite, and Juniper.

Monitor your automation

When deploying applications or changing configurations, you want to make sure the playbooks you scheduled were properly executed. You also want to know if some of them failed or took an abnormally long time to run.

If not properly defined, deployments can impact some applications’ performance. That’s why you also want to be able to correlate these insights with performance metrics from the different parts of your infrastructure.

With our new integration you can now:

  • Get real-time reports on Ansible server runs

  • Track key Ansible performance metrics across all your servers, such as how much time a playbook takes to execute

  • Set alerts on tasks that fail repeatedly

  • Correlate Ansible events and metrics with performance metrics from any part of your infrastructure in order to quickly identify problems’ root causes (e.g. network, task definition…)

Ansible metrics correlation

Every time your Ansible server runs a playbook, the callback configured with our integration reports to Datadog all the related metrics and events you need to monitor your deployments and configuration changes. You will be able to monitor the number of tasks that failed, that succeeded, that got skipped, and that were not required to make any change (“OK”), as well as nodes that were unreachable (perhaps due to a network issue), and the time taken to execute a playbook.

Ansible events stream

Once the callback has been set up on the Ansible server, it will report all the events and metrics automatically without any changes to your playbooks. You will be able to break down events and metrics by host or by playbook, and set up specific alerts for each of them.

Automate your monitoring

Just as Datadog can help you use Ansible, Ansible can help you use Datadog by automatically installing and configuring the Datadog Agent on each of your hosts.

The Datadog Ansible role, fully configurable via Ansible variables, installs the Agent and the integrations corresponding to the software running on each server (e.g. NGINX, Redis). In other words, Ansible will tell Datadog to monitor any software it manages, so your monitoring can scale effortlessly along with your infrastructure.

Below is an example playbook with the required role and variables to install the Agent and enable our SSH and NGINX integrations with customized configurations.

- hosts: servers

roles:

- { role: Datadog.datadog, sudo: yes }

vars:

datadog_api_key: "123456"

datadog_config:

tags: "mytag0, mytag1"

log_level: INFO

datadog_checks:

ssh_check:

init_config:

instances:

- host: localhost

port: 22

username: root

password: changeme

sftp_check: True

private_key_file:

add_missing_keys: True

nginx:

init_config:

instances:

- nginx_status_url: http://example.com/nginx_status/

tags:

- instance:foo

- nginx_status_url: http://example2.com:1234/nginx_status/

tags:

- instance:bar

Simplify your life in a few minutes

You can start collecting events and metrics from Ansible in a few easy steps.

If you are already a Datadog user, you can install our Ansible role by following the instructions provided on the Agent installation page. The instructions for the Ansible callback are available on the project’s GitHub page. If you don’t yet have a Datadog account, try it out by signing up for a free trial.