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

Know Your Adversary
Know Your Adversary
小众软件
小众软件
L
LangChain Blog
月光博客
月光博客
博客园 - Franky
Microsoft Azure Blog
Microsoft Azure Blog
Y
Y Combinator Blog
有赞技术团队
有赞技术团队
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
MongoDB | Blog
MongoDB | Blog
Recorded Future
Recorded Future
V
Visual Studio Blog
TaoSecurity Blog
TaoSecurity Blog
S
Schneier on Security
C
Cybersecurity and Infrastructure Security Agency CISA
P
Privacy & Cybersecurity Law Blog
T
Threat Research - Cisco Blogs
D
DataBreaches.Net
L
LINUX DO - 热门话题
C
Check Point Blog
F
Fortinet All Blogs
Hugging Face - Blog
Hugging Face - Blog
The Hacker News
The Hacker 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
Microsoft Security Blog
Microsoft Security Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
V
V2EX
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
The GitHub Blog
The GitHub Blog
P
Proofpoint News Feed
L
Lohrmann on Cybersecurity
博客园 - 司徒正美
T
Threatpost
P
Palo Alto Networks Blog
A
About on SuperTechFans
Spread Privacy
Spread Privacy
Engineering at Meta
Engineering at Meta
N
News | PayPal Newsroom
T
Tailwind CSS Blog
The Last Watchdog
The Last Watchdog
Blog — PlanetScale
Blog — PlanetScale
A
Arctic Wolf
量子位
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
博客园 - 聂微东
Google Online Security Blog
Google Online Security Blog
Google DeepMind News
Google DeepMind News
www.infosecurity-magazine.com
www.infosecurity-magazine.com
V
Vulnerabilities – Threatpost
H
Hacker News: Front Page

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
Monitor your AWS ECS platform with Convox and Datadog
2016-12-23 · via Datadog | The Monitor blog

This is a guest post by Noah Zoschke, CTO at Convox, an application platform-as-a-service built on top of Docker and AWS.

Cloud automation is taking over. When your team is constantly deploying to a Platform-as-a-Service like Convox, these scenarios are increasingly common:

  • A developer pushes to GitHub, triggering automatic creation of new cloud services and containers for testing the branch.
  • A developer merges to GitHub, triggering automatic rollout of new containers and images to production.
  • An app automatically scales up or down according to load.
  • A service automatically removes and replaces parts of the cloud infrastructure due to failures.

To make sense of all the moving pieces behind automation engineers rely on excellent monitoring software. Datadog is designed precisely for monitoring these dynamic cloud environments and can quickly add operational visibility to a Convox environment.

Set up Convox

The open-source Convox PaaS sets up a production-ready platform in minutes. First set up the AWS and Convox CLI tools:

$ brew install convox

Next, a single command with the Convox CLI creates a production-ready container platform:

$ convox install

___ ___ ___ __ __ ___ __ _

/ ___\ / __ \ / _ \/\ \/\ \ / __ \/\ \/ \

/\ \__//\ \_\ \/\ \/\ \ \ \_/ |/\ \_\ \/> </

\ \____\ \____/\ \_\ \_\ \___/ \ \____//\_/\_\

\/____/\/___/ \/_/\/_/\/__/ \/___/ \//\/_/

Installing Convox (20161102160040)...

Created ECS Cluster: example-Cluster-8BMH9ZW0JY30

...

Done.

Finally, deploy your first application.

For the demo below we’ll use an example Node.js app:

$ git clone https://github.com/convox-examples/convox-guide

$ cd convox-guide

$ convox apps create

$ convox deploy

If you don’t have an account already, sign up for Datadog. You’ll need an API key that lets you send data from Convox instances to the Datadog service.

Deploy the Datadog Agent

Under the hood, Convox leverages AWS EC2 Container Service (ECS). Datadog has good docs on how to integrate with ECS. Their guide walks you through creating an ECS Task, modifying IAM roles, and writing user data scripts.

The Convox platform is designed to simplify AWS platform use, allowing you to deploy the Datadog agent as a Convox app:

# check out the repo

$ git clone https://github.com/convox-examples/dd-agent.git

$ cd dd-agent

# create the app and secrets

$ convox apps create

$ convox env set API_KEY=<your api key>

$ convox deploy

$ convox scale agent --count=3 --cpu=10 --memory=128

# monitor the agent

$ convox logs

2016-12-07T18:24:02Z agent:0.70/i-603780f8 Starting agent process 8d510c19e42c

2016-12-07T18:24:02Z agent:0.70/i-f6dad10e Starting agent process a3ade3d781d1

2016-12-07T18:24:02Z agent:0.70/i-a89a51bf Starting agent process 96d1195ed218

2016-12-07T18:24:03Z agent:RADWUQIPBCQ/8d510c19e42c 2016-12-07 18:24:03,173 INFO supervisord started with pid 1

Dashboards!

Within seconds, data starts flowing into Datadog. You can now see lots of graphs that visualize how your apps are running on Convox.

monitor aws ecs convox

See the Monitor Docker on AWS ECS blog for more information.

Next steps

Now that the data is flowing, you can use Datadog to:

  • Integrate with the rest of your AWS account
  • Build custom dashboards
  • Set up monitors and alerts
monitor aws ecs convox

Most importantly, with easy setup and sophisticated visibility tooling, you can focus on your apps instead of worrying about your infrastructure.