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Introducing Logs in Datadog

Introducing Logs in Datadog

As any software engineer knows, logs are a critical resource for troubleshooting complex problems in production. They provide rich, open-ended context about exactly what happened, when, and where, to help you quickly determine the why. But working with logs can be a pain, to say the least, whether you rely on targeted use of grep or whether you’re running your own systems for log storage and management.

To make logs easy to collect, inspect, explore, and monitor, we are excited to announce that powerful log processing and management is now available in Datadog as a beta feature.

With this addition, we are bringing together in one platform all three pillars of observability: metrics, distributed tracing, and logs. By uniting these data types and making it possible to seamlessly pivot between them, we aim to make it easy to derive a deep, clear understanding of your infrastructure, applications, and the businesses they represent.

Read the entire article here, Introducing logs in Datadog

Via the fine folks at DataDog.

Datadog Datadog unifies the data from servers, OS, databases, applications, tools and services to present a unified view of the infrastructure. These capabilities are provided on a SaaS-based monitoring and data analytics platform that enables Dev and Ops teams working collaboratively on the infrastructure to avoid downtime, resolve performance problems and ensure that development and deployment cycles finish on time.

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