Datadog: Monitoring and analysis + Implementation
I am analyzing Datadog monitors nowadays. I would like to share insight which will help you to understand the basics of it.
* Table of Contents:-
- What is datalog?
- What types of monitoring can be done?
- Dashboard introduction
- How to integrate with REST OR gRPC service.
* Datadog:-
Datadog is a monitoring service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform
* What types of monitoring can be done?
Datadog is great for businesses that need…
- Cloud monitoring
- Server performance monitoring service
- Server monitoring tools
- Server usage analytics
- 80+ turn-key integrations for data aggregation
- Alert notifications via e-mail and PagerDuty
- Full API access
- Overlay metrics and events across disparate sources
- An easy way to compute rates, ratios, averages, or integrals
- Sampling intervals of 10 seconds
- Tools for team collaboration
* Datadog introduction:-
In this part, we will see the whole data dog dashboard introduction. I will explain all the major key sections.
A. Events:-
The Event Stream is based on the same conventions as a blog:
- Every event in the stream can be commented on.
- Great for distributed teams and maintaining the focus of an investigation.
- You can filter by:
user,source,tag,host,status,priority,incident - On the left-hand side, you can see a list of all data sources integrated.
B. Dashboards:- There are 2 types of the dashboard you can create using Datadog
- New Timeboard — For troubleshooting and correlation
Time-synchronized metrics and event graph Automatic layout. Timeboards allows you to troubleshoot issues by pinpointing to the metrics and services at the same time.
2. New Screenboard — For status board and sharing data.
Mix widget and timeframes Custom drag-and-drop layout. Screenboards are ideal for checking the overall health and status of the services and entire architecture.
C. Infrastructure:-
The Infrastructure list page shows all hosts monitored by your Datadog application.
you can see the tags applied to each machine; as they’re assigned to perform certain roles, tagging allows you to indicate machines have a certain purpose.
D. Monitors:-
Applies to any metric you want, revenue: data center temperature.
- Multi alerts (by device, host, etc.)
- Set alert notification message
E. APM(Tracing):-
Datadog APM provides you with deep insight into your application’s performance-from automatically generated dashboards monitoring key metrics
* How to integrate:-
More than 200 built-in integrations. you can integrate it into your project here is an interactive video to get started.
* Implement it with REST service
Once you add a dependency, you need to implement statsD client in your rest service like this.
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