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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Keymetrics vs SignalFx

Keymetrics vs SignalFx

OverviewComparisonAlternatives

Overview

Keymetrics
Keymetrics
Stacks27
Followers28
Votes31
GitHub Stars42.7K
Forks2.7K
SignalFx
SignalFx
Stacks53
Followers110
Votes22

Keymetrics vs SignalFx: What are the differences?

What is Keymetrics? Full Stack monitoring and app management for Node.js. 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.

What is SignalFx? Monitoring and Operational Intelligence for the Cloud. 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.

Keymetrics and SignalFx can be categorized as "Performance Monitoring" tools.

Some of the features offered by Keymetrics are:

  • Process management
  • CPU / Memory Monitoring
  • Log facilities

On the other hand, SignalFx provides the following key features:

  • Beautiful streaming visualizations
  • Meaningful, fast alerting using SignalFlow analytics
  • High resolution metrics up to 1 sec

Keymetrics is an open source tool with 29.7K GitHub stars and 1.99K GitHub forks. Here's a link to Keymetrics's open source repository on GitHub.

According to the StackShare community, Keymetrics has a broader approval, being mentioned in 13 company stacks & 5 developers stacks; compared to SignalFx, which is listed in 4 company stacks and 3 developer stacks.

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CLI (Node.js)
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Detailed Comparison

Keymetrics
Keymetrics
SignalFx
SignalFx

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.

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

Process management;CPU / Memory Monitoring;Log facilities;Load balancing / 0s reload downtime;Startup script generation;Run Next generation Javascript
Beautiful streaming visualizations; Meaningful, fast alerting using SignalFlow analytics; High resolution metrics up to 1 sec; Filter & aggregate by dimesions like source, geo, customer, etc; Build custom real-time analytics pipelines; Use dynamic alert thresholds like moving averages; Get alerts in PagerDuty, VictorOps, HipChat, Slack, & more; Overlay events like alerts, pushes, CI runs, etc; Integrations with AWS services, Docker, Mesos, Kubernetes, Kafka, Cassandra, Mongo, MySQL & much more; Use OSS agents and metrics libraries like collectd, StatsD, etc; Provides OSS libraries in Java, Python, Go, Node, Ruby, etc; Provides OSS proxy to consume existing metrics; REST API;
Statistics
GitHub Stars
42.7K
GitHub Stars
-
GitHub Forks
2.7K
GitHub Forks
-
Stacks
27
Stacks
53
Followers
28
Followers
110
Votes
31
Votes
22
Pros & Cons
Pros
  • 7
    Easy Setup
  • 6
    Realtime App CPU and RAM consumption
  • 5
    Monitoring for many Apps
  • 4
    Alarm on Code Failure
  • 4
    Mobile friendly
Pros
  • 5
    High cardinality
  • 5
    Scalability
  • 4
    World class customer support
  • 4
    Fastest alerts
  • 4
    Easy to install
Integrations
Node.js
Node.js
Golang
Golang
Redis
Redis
VictorOps
VictorOps
AWS OpsWorks
AWS OpsWorks
Amazon Route 53
Amazon Route 53
Kafka
Kafka
Python
Python
New Relic
New Relic
Chef
Chef
PagerDuty
PagerDuty

What are some alternatives to Keymetrics, SignalFx?

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.

Datadog

Datadog

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!

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.

Librato

Librato

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.

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.

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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