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

T
The Exploit Database - CXSecurity.com
V
Vulnerabilities – Threatpost
Google DeepMind News
Google DeepMind News
Attack and Defense Labs
Attack and Defense Labs
Webroot Blog
Webroot Blog
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
TaoSecurity Blog
TaoSecurity Blog
I
Intezer
Application and Cybersecurity Blog
Application and Cybersecurity Blog
N
News | PayPal Newsroom
S
Security Affairs
T
Tor Project blog
P
Proofpoint News Feed
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
S
Security @ Cisco Blogs
H
Heimdal Security Blog
Hacker News: Ask HN
Hacker News: Ask HN
Help Net Security
Help Net Security
U
Unit 42
云风的 BLOG
云风的 BLOG
The Hacker News
The Hacker News
Cisco Talos Blog
Cisco Talos Blog
量子位
F
Full Disclosure
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
博客园 - 叶小钗
有赞技术团队
有赞技术团队
T
Troy Hunt's Blog
P
Privacy & Cybersecurity Law Blog
Forbes - Security
Forbes - Security
人人都是产品经理
人人都是产品经理
L
Lohrmann on Cybersecurity
Apple Machine Learning Research
Apple Machine Learning Research
Microsoft Security Blog
Microsoft Security Blog
博客园 - Franky
腾讯CDC
AI
AI
Last Week in AI
Last Week in AI
Latest news
Latest news
Google Online Security Blog
Google Online Security Blog
N
Netflix TechBlog - Medium
Engineering at Meta
Engineering at Meta
GbyAI
GbyAI
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
IT之家
IT之家
Martin Fowler
Martin Fowler
Blog — PlanetScale
Blog — PlanetScale
V2EX - 技术
V2EX - 技术
酷 壳 – CoolShell
酷 壳 – CoolShell

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
Access Datadog privately and monitor your Google Cloud Private Service Connect usage
Candace Shamieh, Sriram Raman · 2024-04-22 · via Datadog | The Monitor blog

Private Service Connect (PSC) is a Google Cloud networking product that enables you to access Google Cloud services, third-party partner services, and company-owned applications directly from your Virtual Private Cloud (VPC). PSC helps your network traffic remain secure by keeping it entirely within the Google Cloud network, allowing you to avoid public data transfer and save on egress costs. With PSC, producers can host services in their own VPCs and offer a private connection to their customers. Likewise, consumers can access services privately in their own VPCs.

Many organizations, such as banks, payment providers, and government entities, are looking to expand their monitoring capabilities, but are often limited by industry-related compliance requirements for their data in transit. To help these customers, we’re proud to announce that Datadog is a Google Cloud partner and third-party published service with Private Service Connect, enabling you to connect to Datadog and send your telemetry privately, completely insulated from the public internet. Using Private Service Connect to send your high-volume network logs, load balancer logs, and VPC Flow Logs from Google Cloud to Datadog reduces data transfer costs. If you route these logs to Datadog Log Management’s Flex tier, you can leverage cost-effective analytics and long-term retention options for DevOps, security, and compliance use cases.

In addition to connecting to Datadog via PSC, you can also use our integration to monitor your PSC usage. Our PSC integration allows you to monitor the services that you produce or consume from your VPC and your data traffic as it flows from clients—through PSC backends and PSC endpoints—to services. Monitoring Google Cloud Private Service Connect provides visibility into the performance of your connections, enabling you to identify opportunities to save costs and optimize your network resources.

In this post, we’ll discuss how Datadog’s PSC integration enables you to:

  • Monitor the services you consume or produce with PSC

  • Track your data as it flows from your client to services via PSC’s private connection

Monitor the services you consume or produce via Private Service Connect

Once you install and configure our PSC integration, you’ll start to collect consumer or producer-related metrics from your PSC connections. Our Google Cloud Private Service Connect preconfigured dashboard displays all active service connections, whether they are published by Google, a third party, or your organization.

View of Datadog’s Google Cloud Private Service Connect preconfigured dashboard

By monitoring the services you consume via PSC, you can understand your service health and availability and optimize costs accordingly. Consumers can track proxy metrics, like bytes received and sent as well as open, new, and closed connections, while producers can monitor metrics like connected consumers and used IP addresses. Both consumers and producers can see their dropped packets sent or received, enabling you to fine-tune your service to deliver consistently high performance and reliability or quickly investigate if you see a sudden spike.

For example, let’s say you’re a PSC consumer and decide to review usage metrics on the Google Cloud Private Service Connect dashboard. While analyzing open connections, you notice that several connections consistently have low or zero usage over the last two weeks, indicating that they may be underutilized. After verifying that they haven’t been used in the last 60 days, you terminate the unused connections so your organization doesn’t continue to pay to maintain idle resources.

Track your network traffic as it flows from client to services

Datadog’s PSC integration also gives you visibility into your network activity. Tracking and analyzing your PSC network traffic allows you to optimize performance and resource utilization, detect unauthorized or suspicious activity, and identify opportunities where you can further reduce costs. With the PSC integration, you can establish alerts for bytes, dropped packets, used IP addresses, and more, and then add them directly to any dashboard.

For example, let’s say you receive an alert that the amount of available IP addresses in a Network Address Translation (NAT) subnet has fallen below your predefined threshold. You know that IP address exhaustion will result in connection failures, interrupting your consumers’ user experience. In response, you scale your NAT resources to ensure that your service continues to perform optimally and remains available to your consumers.

Start monitoring Google Cloud Private Service Connect with Datadog today

Datadog’s integration makes it easy to monitor the services you consume or produce via PSC and the network traffic that flows through its private and secure connection. Monitoring PSC with Datadog enables you to maintain service health, detect anomalies, and optimize costs and resources. You can learn more about the PSC integration in our documentation.

Connecting to Datadog via PSC allows you to send your telemetry to Datadog privately and save on egress costs. If you want to learn how to connect to Datadog via PSC, visit this documentation. Or, if you want to collect metrics from other Google Cloud services, check out our integrations. If you’re new to Datadog, you can sign up for a free 14-day trial today.