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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Datadog vs Inspeqtor vs Librato

Datadog vs Inspeqtor vs Librato

OverviewComparisonAlternatives

Overview

Librato
Librato
Stacks93
Followers68
Votes31
Datadog
Datadog
Stacks9.8K
Followers8.2K
Votes861
Inspeqtor
Inspeqtor
Stacks1
Followers9
Votes1
GitHub Stars1.7K
Forks65

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Detailed Comparison

Librato
Librato
Datadog
Datadog
Inspeqtor
Inspeqtor

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

Inspeqtor monitors your application infrastructure. It gathers and verifies key metrics from all the moving parts in your application and alerts you when something looks wrong. It understands the application deployment workflow so it won't bother you during a deploy.

REST API accepts any metrics you define; Turnkey integration with AWS, Heroku, collectd, and more; Integrates with more than 100 open-source agents, and language bindings; Designed for code-instrumentation as well as systems monitoring; Powerful correlation capabilities to compare metrics at any layer in the stack; Apply mathematical and transformative functions to existing metrics; Unlimited dashboards, notifications and collaborator accounts; Annotation streams for tracking aperiodic events; Advanced alerting that ties into best of breed notification services; World class support; Loved equally by operators, software engineers, data engineers, and managers;
14-day Free Trial for an unlimited number of hosts;200+ turn-key integrations for data aggregation;Clean graphs of StatsD and other integrations;Slice and dice graphs and alerts by tags, roles, and more;Easy-to-use search for hosts, metrics, and tags;Alert notifications via e-mail and PagerDuty;Receive alerts on any metric, for a single host or an entire cluster;Full API access in more than 15 languages;Overlay metrics and events across disparate sources;Out-of-the-box and customizable monitoring dashboards;Easy way to compute rates, ratios, averages, or integrals;Sampling intervals of 10 seconds;Mute all alerts with 1 click during upgrades and maintenance;Tools for team collaboration
Monitor init.d-, systemd-, upstart-, runit- or launchd-managed services;Monitor process memory and CPU usage;Monitor daemon-specific metrics (e.g. redis, memcached, mysql, nginx...);Monitor and alert based on host CPU, load, swap and disk usage;Alert or restart a process if a rule threshold is breached;Alert if a process disappears or changes PID;Signal deploy start/stop to silence alerts during deploy
Statistics
GitHub Stars
-
GitHub Stars
-
GitHub Stars
1.7K
GitHub Forks
-
GitHub Forks
-
GitHub Forks
65
Stacks
93
Stacks
9.8K
Stacks
1
Followers
68
Followers
8.2K
Followers
9
Votes
31
Votes
861
Votes
1
Pros & Cons
Pros
  • 14
    Easy setup
  • 8
    Great visualization
  • 4
    Heroku integration
  • 3
    Free tier
  • 2
    Alerting
Pros
  • 140
    Monitoring for many apps (databases, web servers, etc)
  • 107
    Easy setup
  • 87
    Powerful ui
  • 84
    Powerful integrations
  • 70
    Great value
Cons
  • 20
    Expensive
  • 4
    No errors exception tracking
  • 2
    External Network Goes Down You Wont Be Logging
  • 1
    Complicated
Pros
  • 1
    Simple
Integrations
PagerDuty
PagerDuty
Slack
Slack
Amazon SNS
Amazon SNS
Heroku
Heroku
Flowdock
Flowdock
OpsGenie
OpsGenie
Amazon CloudWatch
Amazon CloudWatch
HipChat
HipChat
collectd
collectd
Bigpanda
Bigpanda
NGINX
NGINX
Google App Engine
Google App Engine
Apache HTTP Server
Apache HTTP Server
Java
Java
Docker
Docker
Pingdom
Pingdom
MySQL
MySQL
Ruby
Ruby
Python
Python
Memcached
Memcached
No integrations available

What are some alternatives to Librato, Datadog, Inspeqtor?

New Relic

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

AppDynamics

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Stackify

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Skylight

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Keymetrics

Keymetrics

PM2 is a production process manager for Node.js applications with a built-in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.

Dynatrace

Dynatrace

It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.

SignalFx

SignalFx

We provide operational intelligence for today’s elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data

Scout

Scout

Scout APM helps developers quickly pinpoint & resolve performance issues before the customer ever sees them. Spend less time debugging & more time building with a streamlined interface & tracing logic that ties bottlenecks to source code.

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