Tagging Strategy

Datadog has proven to be the leader in modern monitoring services for Cloud and on-prem infrastructure, with a platform that has out of the box monitoring for over 200 Cloud services. As a leader in AWS, GCP, and Azure monitoring, Datadog has become a must have platform for all Cloud based workloads.

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To get the most out of your company’s infrastructure, you need an advanced monitoring solution, giving you a detailed view of all workloads. The leading choice in today’s environment is Datadog, whether your infrastructure is cloud-based or entirely on-prem.

The Datadog platform has out-of-the-box monitoring capabilities for over 200 cloud services. It is the go-to choice for Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure workloads. It’s a must-have for your business.

How do you get the most out of Datadog?

To achieve the maximum return on investment from your Datadog implementation, you should focus on effectiveness. We have helped many customers adopt the Datadog platform to its fullest extent, delivering high-quality results.

Your experience with us is customized to fit your needs, and can range from a small get-started workshop to a multiple-phase deployment incorporating APM, logging and infrastructure monitoring. Whether you’re looking for quick monitoring wins or a multi-stage deployment that will cover a large volume of workloads, we can help.

What are our offerings?

The exact approach to Datadog implementations for your company depends on the types and amounts of infrastructure you’re running. You can leverage our team for quick or extended engagements, ensuring you get the most out of Datadog on a timeline that makes sense for you.

Datadog Tagging Strategy

This engagement is based on a remote workshop designed to help you create new tags and map your infrastructure more effectively. You will be able to:

Derive new business tags that describe your organization’s structure & operation

Derive new engineering tags from your existing tagging methods or newly developed methods, including:
• Leveraging existing configuration tags
• Obtaining new tags from current tech stacks
• Identifying a scalable tagging strategy for future Datadog application roll-outs
• Map your infrastructure with your collected tags
• Categorize services by function and responsible teams
• Unify data streams to pivot between service metrics, logs and request traces
• Assign owners to services and build informative alerts that automatically route notifications to teams

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Looking to learn more about our solutions? Or just chat DevOps? We’d be happy to jump on a call and see how we can help you and your organization move faster.

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