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

C
Cisco Blogs
Schneier on Security
Schneier on Security
T
Tor Project blog
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
T
Tenable Blog
C
Cyber Attacks, Cyber Crime and Cyber Security
T
Threat Research - Cisco Blogs
C
CERT Recently Published Vulnerability Notes
Security Latest
Security Latest
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
NISL@THU
NISL@THU
L
Lohrmann on Cybersecurity
Scott Helme
Scott Helme
Webroot Blog
Webroot Blog
Project Zero
Project Zero
Google Online Security Blog
Google Online Security Blog
The Last Watchdog
The Last Watchdog
Spread Privacy
Spread Privacy
Hacker News: Ask HN
Hacker News: Ask HN
PCI Perspectives
PCI Perspectives
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
W
WeLiveSecurity
Attack and Defense Labs
Attack and Defense Labs
D
Darknet – Hacking Tools, Hacker News & Cyber Security
N
News | PayPal Newsroom
Help Net Security
Help Net Security
The Hacker News
The Hacker News
H
Heimdal Security Blog
O
OpenAI News
S
Security @ Cisco Blogs
N
News and Events Feed by Topic
Cyberwarzone
Cyberwarzone
Simon Willison's Weblog
Simon Willison's Weblog
G
GRAHAM CLULEY
www.infosecurity-magazine.com
www.infosecurity-magazine.com
博客园 - 叶小钗
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
Hacker News - Newest:
Hacker News - Newest: "LLM"
T
Tailwind CSS Blog
大猫的无限游戏
大猫的无限游戏
A
Arctic Wolf
I
Intezer
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
Security Affairs
P
Proofpoint News Feed
S
Secure Thoughts
腾讯CDC
Google DeepMind News
Google DeepMind News
量子位
罗磊的独立博客

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
Integrate Akamai with Datadog to monitor CDN performance
2019-06-10 · via Datadog | The Monitor blog

Akamai is a leading provider of content delivery network solutions around the world, handling many millions of HTTP requests per second. By Akamai’s estimates, its CDN platform delivers 15 to 30 percent of global web traffic.

If you’re using Akamai to accelerate and protect the delivery of content to your users, we are pleased to announce that you can now use Datadog to monitor the utilization and performance of your CDN. Datadog consumes metrics on request traffic, response times, HTTP response codes, and cache hits and misses via Akamai’s DataStream API.

Once you set up the integration, your Akamai data flows into an out-of-the-box dashboard in Datadog and can be used for visualization, alerting, and correlation with data from the rest of your web stack. Datadog integrates with more than 1,000 other technologies and services, including databases, caches, and web servers like NGINX, IIS, and Apache.

Datadog's built-in dashboard for monitoring Akamai CDN performance

Datadog meets DataStream

Akamai DataStream is a service that aggregates data on performance, request rates, and errors, and makes them available via API. Akamai users can create a read-only API client for Datadog in the Identity and Access Management section of the Control Center web console. Enabling the Akamai integration in the Datadog app and providing the access credentials for that API client will automatically initiate the collection of metrics from Akamai DataStream. See the accompanying blog post on the Akamai blog for step-by-step details on creating a DataStream client.

Configuring API client access for Datadog in the Akamai Control Center web console

Granular CDN metrics

Monitoring Akamai metrics with Datadog anomaly detection

Akamai DataStream allows you to enable several data sets for Datadog to consume, such as response times from the edge, bytes transferred per second, and a breakdown of HTTP status codes (2xx, 3xx, 4xx, 5xx). You can use any of these metrics to build sophisticated visualizations and alerts in Datadog. In the image above, we’ve applied anomaly detection to reveal when request traffic deviates from normal levels, based on past trends.

You can also monitor the effectiveness of your caching setup with metrics on cache hits, cache misses, and the offload rate (the fraction of total requests that could be served from the cache). The integration also allows you to troubleshoot issues behind the CDN by tracking the origin response time, or the latency in returning objects that Akamai requests from your origin infrastructure. See our documentation for the integration for a full list of available Akamai metrics.

Tap into the stream

We are pleased to partner with Akamai to deliver enhanced visibility into CDN utilization and performance. If you already have a Datadog account, you can enable the Akamai integration by following the steps outlined in our documentation. And if you’re not yet using Datadog, you can start monitoring your content delivery network alongside the rest of your infrastructure and applications by signing up for a free 14-day trial.