Devendra Kumar Singh

DevOps

From Raw Logs to Structured Data: Working with Datadog Log Pipelines

Introduction Logs coming from different services often follow inconsistent formats, naming conventions, and structures. This makes it difficult to search, analyze, and correlate events across your systems. Datadog Log Management solves this challenge with Pipelines, Processors, and Standard Attributes, which let you extract key fields,...

26-Aug-2025

DevOps

Optimizing Application Performance with Datadog Continuous Profiler

Introduction Modern applications behave quite differently in production compared to development or testing environments. Outlier requests and accounts, edge cases, configuration changes, security features, and request spikes can make an application behave in unexpected ways. This may lead to poor CPU and memory performance, which can be...

19-Mar-2025

DevOps

Maximizing Log Visibility and Reducing Costs: Effective Strategies for Managing Indexed Log Volumes in Datadog

Introduction Datadog Log Management offers powerful tools for querying, analyzing, and monitoring logs so that you have the details you need to track and investigate the performance, health, and security of your systems and applications. These logs sources can produce thousands of log events per minute, indexing all logs for querying,...

07-Sep-2024