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

WordPress大学
WordPress大学
H
Help Net Security
Jina AI
Jina AI
V
V2EX
G
Google Developers Blog
B
Blog
GbyAI
GbyAI
U
Unit 42
爱范儿
爱范儿
腾讯CDC
Engineering at Meta
Engineering at Meta
酷 壳 – CoolShell
酷 壳 – CoolShell
博客园 - 三生石上(FineUI控件)
宝玉的分享
宝玉的分享
小众软件
小众软件
D
DataBreaches.Net
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
博客园 - Franky
博客园 - 聂微东
The Cloudflare Blog
I
InfoQ
Microsoft Azure Blog
Microsoft Azure Blog
Hugging Face - Blog
Hugging Face - Blog
大猫的无限游戏
大猫的无限游戏

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
Filter dashboards faster with template variable available...
Stephanie Niu, Thomas Sobolik, Edwin Morris · 2021-10-07 · via Datadog | The Monitor blog
Stephanie Niu

Stephanie Niu

Thomas Sobolik

Thomas Sobolik

Senior Technical Content Writer

Edwin Morris

Edwin Morris

Datadog’s template variables help you quickly scope your dashboards to specific contexts using tags, so you can visualize data from only the hosts, containers, services, or any other tagged objects you care about. This helps you build more flexible dashboards so you can access the insights you’re looking for as quickly as possible. We’re proud to announce new features for the template variable workflow that enable you to make highly dynamic, shareable dashboards more efficiently. In this post, we’ll look at the new template variable modal for creating and sorting variables, as well as a new available values field, which lets you select what values appear in the dropdown to make your dashboards easier to use.

Manage template variables faster with the new modal

The new template variable modal makes it easier to create and organize variables. When you create a new template variable, you can select the tag or attribute you want to use. Datadog automatically fills in the variable’s name using the tag key.

Setting default values ensures that your dashboard always loads with the same subset of data displayed, so you can easily share it in a default scope across your organization.

You can also drag variables in the modal to reorder them—this helps you group related variables together to make your variable set easier to parse, especially if you’re using a large number of variables.

Focus your dashboards to available values

In cases where your new template variable has a large number of possible values, it can be tedious to find the ones you need—often, there’s only a small subset that your team needs to view in the dashboard. And, in cases where your tag values are long strings that are difficult to remember—such as hostnames, container pods, or org IDs—querying for them specifically can be error-prone. This can make it difficult, for example, for stakeholders outside your team to effectively move through scopes in your dashboard.

To address this, you can now configure available values for each template variable. This means you can specify which values for a tag are available in the dropdown for a template variable in your dashboard.

Select a subset of available values for your template variables

This enables you to focus only on relevant values for your template variables and filter out noise, such as unsupported browsers, deprecated services, and data from older deployments that are no longer reaching customers.

Viewing available values in a dashboard

Combining this with dynamic template variable syntax, you can configure your graphs to query the exact tag values you need from across your environment as quickly and efficiently as possible. And, with saved views, you can easily preserve the scope of your dashboard visualizations to share key information across teams.

Optimize your template variable workflow

With the new optimized template variable workflow, it’s easier than ever to use your dashboards to visualize and monitor the data you need. These new features are now generally available for all Datadog customers—for more information about working with template variables, see our documentation. Or, if you’re brand new to Datadog, get started with a 14-day free trial.