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

SPM vs SignalFx

OverviewComparisonAlternatives

Overview

SPM
SPM
Stacks35
Followers5
Votes0
SignalFx
SignalFx
Stacks53
Followers110
Votes22

SignalFx vs SPM: What are the differences?

Developers describe SignalFx as "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. On the other hand, SPM is detailed as "Monitoring, Alerting, and Anomaly Detection". Cloud and On Premises Performance Monitoring, Alerting, and Anomaly Detection with Log Correlation, Events, and Custom Metrics.

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

Some of the features offered by SignalFx are:

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

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

  • Cloud and On Premises
  • Out of the box dashboards for numerous integrations
  • Alerting and anomal detection

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Detailed Comparison

SPM
SPM
SignalFx
SignalFx

Cloud and On Premises Performance Monitoring, Alerting, and Anomaly Detection with Log Correlation, Events, and Custom Metrics.

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

Cloud and On Premises; Out of the box dashboards for numerous integrations; Alerting and anomal detection; Custom metrics; Custom events; Correlation with logs; User roles; Nagios, PagerDuty, and WebHooks support; Chart embedding and short-linking
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
Stacks
35
Stacks
53
Followers
5
Followers
110
Votes
0
Votes
22
Pros & Cons
No community feedback yet
Pros
  • 5
    High cardinality
  • 5
    Scalability
  • 4
    World class customer support
  • 4
    Easy to install
  • 4
    Fastest alerts
Integrations
CoreOS
CoreOS
HBase
HBase
Yarn
Yarn
Apache Tomcat
Apache Tomcat
Apache Spark
Apache Spark
Kubernetes
Kubernetes
Elasticsearch
Elasticsearch
Node.js
Node.js
MongoDB
MongoDB
ExpressJS
ExpressJS
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 SPM, 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.

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.

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