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

量子位
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
F
Fortinet All Blogs
博客园 - 聂微东
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Hugging Face - Blog
Hugging Face - Blog
V
Visual Studio Blog
小众软件
小众软件
有赞技术团队
有赞技术团队
雷峰网
雷峰网
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
AWS News Blog
AWS News Blog
C
Cisco Blogs
美团技术团队
T
Threat Research - Cisco Blogs
C
CERT Recently Published Vulnerability Notes
人人都是产品经理
人人都是产品经理
宝玉的分享
宝玉的分享
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
酷 壳 – CoolShell
酷 壳 – CoolShell
Stack Overflow Blog
Stack Overflow Blog
W
WeLiveSecurity
D
DataBreaches.Net
博客园 - 司徒正美
Blog — PlanetScale
Blog — PlanetScale
IT之家
IT之家
云风的 BLOG
云风的 BLOG
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Simon Willison's Weblog
Simon Willison's Weblog
Google DeepMind News
Google DeepMind News
T
The Blog of Author Tim Ferriss
Know Your Adversary
Know Your Adversary
NISL@THU
NISL@THU
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
The Cloudflare Blog
Vercel News
Vercel News
月光博客
月光博客
T
Tailwind CSS Blog
H
Help Net Security
aimingoo的专栏
aimingoo的专栏
P
Proofpoint News Feed
Application and Cybersecurity Blog
Application and Cybersecurity Blog
Spread Privacy
Spread Privacy
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
Cisco Talos Blog
Cisco Talos Blog
Microsoft Security Blog
Microsoft Security Blog
V
V2EX
WordPress大学
WordPress大学
Cyberwarzone
Cyberwarzone
Recent Announcements
Recent Announcements

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 AWS VPC with Datadog
Abril Loya McCloud · 2016-06-01 · via Datadog | The Monitor blog

AWS Virtual Private Cloud (VPC) is an on-demand, isolated section of Amazon Web Services (AWS) that allows you to allocate AWS resources within a custom-defined virtual network.

Datadog is happy to announce our AWS VPC integration, which allows you to monitor all components within your AWS VPC alongside your EC2-classic components.

Monitor AWS VPC

VPC is designed to be a highly performant network and its usage provides access to many additional benefits in conjunction with services available in EC2-classic. Some of the most notable benefits of using a VPC include running your instances on single-tenant hardware, more fine-grained egress and ingress filtering, and the ability to add an additional layer of access control to your instances.

AWS has also developed several new types of instances only available for VPC: C4, T2, and M4. To take advantage of these new instances as well as other VPC benefits, read this starter guide provided by AWS for more in-depth instruction on properly setting up your own VPC.

Once you’ve enabled the AWS integration in Datadog, statuses of your VPC services will be collected automatically and displayed alongside metrics from your EC2-classic instances within your dashboard. You can then add a VPC tag to your hosts, and filter by tag in order to visualize your metrics. With these measures in place, you can immediately correlate VPC metrics with metrics from the rest of your infrastructure and gain insight into your app performance.

monitor aws vpc image

As with EC2-classic monitoring in Datadog, you can assign additional tags and set custom monitors to alert you when there are status or resource consumption changes within your VPC. Datadog provides customizable, flexible monitoring that is well-suited to the highly configurable nature of VPCs.

Get Started

Datadog customers can start monitoring their VPCs by setting up the AWS integration tile in the integrations list; your VPC components will be crawled automatically. Otherwise, if you’d like to experience running a VPC with a comprehensive monitoring service, sign up for a Datadog trial.