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

云风的 BLOG
云风的 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
J
Java Code Geeks
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Engineering at Meta
Engineering at Meta
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
小众软件
小众软件
博客园 - 聂微东
酷 壳 – CoolShell
酷 壳 – CoolShell
月光博客
月光博客
Last Week in AI
Last Week in AI
博客园_首页
I
InfoQ
T
Tailwind CSS Blog
爱范儿
爱范儿
雷峰网
雷峰网
Recent Announcements
Recent Announcements
F
Fortinet All Blogs
B
Blog
WordPress大学
WordPress大学
A
About on SuperTechFans
V
Visual Studio Blog
有赞技术团队
有赞技术团队
P
Proofpoint News Feed

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
Expand your monitoring reach with Datadog's enhanced Azur...
2020-11-17 · via Datadog | The Monitor blog

Microsoft Azure is one of the fastest-growing cloud platforms in the world, offering a wide range of products for deployment, testing, and cloud storage. Datadog is committed to maintaining an extensible monitoring solution for Azure’s growing ecosystem that doesn’t require lots of manual configuration. That’s why we are excited to announce the following enhancements to Datadog’s Azure integration:

Datadog ingests Azure Monitor metrics faster than ever

Up-to-date metrics are essential for maintaining comprehensive visibility into any environment. We have always collected all standard metrics from Azure Monitor, but thanks to our close collaboration with Microsoft’s development team, these metrics now appear in Datadog significantly faster than they did in the past. By reducing Azure Monitor metric collection latency by over 40 percent, we’ve set a new industry standard and ensured that all of your Datadog dashboards and monitors contain the most up-to-date information. You can now rest assured that changes in key metrics, such as deployment failures on Azure App Service and exceeded resource limits on Azure SQL Database, will be reflected in Datadog as quickly as possible.

View Azure Monitor metrics in Datadog.

A streamlined log collection mechanism for Azure logs

Azure logs provide vital, detailed information about activity in your Azure environment, which can help you assess the severity of an error or outage—and identify its root cause. Datadog Log Management enables you to store every ingested log in one place—and provides you with sophisticated search, filter, and alerting tools to help you get the most out of your log data. Our recent updates to our Azure integration include an easily deployable template that streamlines the Azure log collection process. Users can simply modify and run a Powershell script to create and configure the template, so Azure Platform logs can start flowing into Datadog in minutes.

An easily deployable template streamlines the Azure log collection process.

Monitor more Azure services with new out-of-the-box dashboards

At Datadog, we are always looking for opportunities to expand our out-of-the-box offerings, so users can start monitoring the technologies they rely on as quickly as possible. That’s why we are happy to introduce brand new out-of-the-box dashboards for two of Azure’s most popular services: Azure CosmosDB and Azure API Management Service.

Azure CosmosDB is a multi-model, globally distributed, and fully managed NoSQL Database service for modern app development. CosmosDB’s flexible approach enables its users to store data in a variety of forms, which can be accessed through several popular APIs, such as MongoDB, Cassandra, and Gremlin. Datadog’s new Azure CosmosDB dashboard provides immediate insight into the performance of your CosmosDB instance. For example, you can visualize platform-level metrics, such as total request units consumed, as well as API-level metrics, such as the number of Cassandra keyspaces created, in order to better understand your CosmosDB usage.

Datadog's out-of-the-box CosmosDB dashboard provides immediate insight into the performance of your CosmosDB instance.

Azure API Management Service is a scalable, multi-cloud API management platform that allows users to create consistent and modern API gateways for backend services. With Datadog’s new out-of-the-box Azure API Management Service Dashboard, you can gain vital insights into how your API gateways perform for your web applications deployed in various Azure regions. This new dashboard will enable you to recognize service outages, view request breakdowns, and monitor utilization rates for your API gateways so you can respond quickly to any concerning activity.

Datadog's out-of-the-box Azure API Management Service Dashboard provides vital insight into how your API gateways are performing.

Get started today

These enhancements to the Azure integration are now available. For more information on how to get up and running with them, check out our documentation. And if you’re not yet using Datadog but you’d like to get comprehensive insights into the performance and health of your Azure infrastructure, sign up for a 14-day free trial.