SPM vs Vector

Overview

SPM

Stacks35

Followers5

Votes0

Vector

Stacks22

Followers53

Votes0

GitHub Stars3.6K

Forks250

Vector vs SPM: What are the differences?

Developers describe Vector as "On-host performance monitoring framework which exposes hand picked high resolution metrics to every engineer’s browser, by Netflix". Vector provides a simple way for users to visualize and analyze system and application-level metrics in near real-time. It leverages the battle tested open source system monitoring framework, Performance Co-Pilot (PCP), layering on top a flexible and user-friendly UI. The UI polls metrics at up to 1 second resolution, rendering the data in completely configurable dashboards that simplify cross-metric correlation and analysis. 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.

Vector and SPM belong to "Performance Monitoring" category of the tech stack.

Vector is an open source tool with 3.34K GitHub stars and 253 GitHub forks. Here's a link to Vector's open source repository on GitHub.

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Detailed Comparison

SPM	Vector
Cloud and On Premises Performance Monitoring, Alerting, and Anomaly Detection with Log Correlation, Events, and Custom Metrics.	Vector provides a simple way for users to visualize and analyze system and application-level metrics in near real-time. It leverages the battle tested open source system monitoring framework, Performance Co-Pilot (PCP), layering on top a flexible and user-friendly UI. The UI polls metrics at up to 1 second resolution, rendering the data in completely configurable dashboards that simplify cross-metric correlation and analysis.
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	-
Statistics
GitHub Stars -	GitHub Stars 3.6K
GitHub Forks -	GitHub Forks 250
Stacks 35	Stacks 22
Followers 5	Followers 53
Votes 0	Votes 0
Integrations
CoreOS HBase Yarn Apache Tomcat Apache Spark Kubernetes Elasticsearch Node.js MongoDB ExpressJS	No integrations available

What are some alternatives to SPM, Vector?

New Relic

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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

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AppSignal

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

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

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

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.