Application Performance Monitoring using Datadog

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Application Performance Monitoring using DataDog

Case Study of Performance monitoring for a client in the Media and Mobile domain

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Application Monitoring

Ensure that a software application processes and performs in an expected manner and scope

APM Runtime MetricsHealth of the application

Health of infrastructure

Provide system/application

feedback

Continuous Improvement

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What is Datadog?

Monitoring as a Service

Agent Based

Python

Integrations

Dashboards

Tagging

Alerts

Checks

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Environment

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Challenge

Monitor System Health

Monitor Redis, MongoDB

Application (API Server) runs as docker container

Monitor application performance

Logging slowed down performance

Rapid development, No feedback mechanism about the application performance

Insight in application needed by management

Insight needed by support, devops and developers

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Integration Dashboards

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Amazon - ElastiCache

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System Overview

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How to impress the management?!

How to deal with X environments and Y versions?

How to measure performance, without affecting performance?

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Overview Dashboard

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Debug: API Error Rate

Which endpoint is having more errors? Which error codes are being thrown? Search logs in Loggly if needed.

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Datadog API

We can code: Instance configuration Infrastructure Deployments

Why not monitoring?!

Datadog has great API

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Datadog module for nodejs

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Measuring http response times from application code

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Plot it!

Dummy1

Dummy2

Dummy3

Dummy4Dummy Data

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What about performance while tracking performance?

Metrics from code are sent to local datadog agent using UDP

Local datadog agent syncs the metrics to the datadog server

Datadog dashboard reflects the metrics with some delay

Application performance does not get affected

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MixPanel

Metrics are sent from device (mobile/tablet/web) to MixPanel

Real Data

Integrate MixPanel with DataDog

Top 5 users of the application by Country

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Extending the approach to Test Env

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Datadog Tags

Inherited from Integrations

Custom tags

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Templated Dashboards

Dashboard variables

Dynamically explore metrics

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Alerts

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Datadog Checks

Collect metrics from datadog agent check

Out of the box agent checks

Custom agent checks in Python

Interesting use cases: Keep alive check (Service is up) Network Check (HTTP, TCP) Validate response for expected data

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Using Datadog

Monitor dynamic infrastructure

Monitor system health

Monitor application availability

Monitor application performance

Show application & infra health graphically

Provide feedback about health of system

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@thewhitehedgeDevOps@WhiteHedge.com

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Application Performance Monitoring using Datadog

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