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

SignalFx vs Stackify

OverviewComparisonAlternatives

Overview

Stackify
Stackify
Stacks113
Followers69
Votes56
SignalFx
SignalFx
Stacks53
Followers110
Votes22

SignalFx vs Stackify: What are the differences?

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; Stackify: Performance. Metrics. Errors. Logs. One platform. 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.

SignalFx and Stackify can be primarily classified 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, Stackify provides the following key features:

  • Application Performance Management (APM), Custom metrics, Log management. Application monitoring
  • Server Monitoring
  • DB & queries monitoring

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Detailed Comparison

Stackify
Stackify
SignalFx
SignalFx

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

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

Application Performance Management (APM), Custom metrics, Log management. Application monitoring;Server Monitoring;DB & queries monitoring;Queues monitoring;Auto-discovery of new apps;Alerts;App Status Alerts;Email & SMS notification;Escalation rules;Errors aggregation, errors reporting;Alerts, trends;App reporting;Log Files aggregation & appending.Tail and search app & IIS logs;Windows event viewer;Remote secure Access;Access server logs, files, configurations;Role based access;Audit & reporting;App Metrics;Monitor performance counters;Custom Metrics via API;Monitor JVM mBeans;Application Performance;Track web page performance;Utilizing custom metrics to track performance of anything;
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
113
Stacks
53
Followers
69
Followers
110
Votes
56
Votes
22
Pros & Cons
Pros
  • 8
    Error tracking
  • 7
    Log management
  • 7
    Monitoring
  • 7
    Easy setup
  • 6
    Alerting
Pros
  • 5
    High cardinality
  • 5
    Scalability
  • 4
    World class customer support
  • 4
    Easy to install
  • 4
    Fastest alerts
Integrations
Amazon EC2
Amazon EC2
Slack
Slack
Jira
Jira
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Azure DevOps
Azure DevOps
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 Stackify, 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.

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.

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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