Stackify
GrantKevin
Aug 17, 2015
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CommentsWhat is 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
Stackify is a tool in the Performance Monitoring category of a tech stack.
Key Features
Application Performance Management (APM), Custom metrics, Log management. Application monitoringServer MonitoringDB & queries monitoringQueues monitoringAuto-discovery of new appsAlertsApp Status AlertsEmail & SMS notificationEscalation rulesErrors aggregation, errors reportingAlerts, trendsApp reportingLog Files aggregation & appending.Tail and search app & IIS logsWindows event viewerRemote secure AccessAccess server logs, files, configurationsRole based accessAudit & reportingApp MetricsMonitor performance countersCustom Metrics via APIMonitor JVM mBeansApplication PerformanceTrack web page performanceUtilizing custom metrics to track performance of anything
Stackify Pros & Cons
Pros of Stackify
- ✓Error tracking
- ✓Easy setup
- ✓Log management
- ✓Monitoring
- ✓Alerting
- ✓Application performance
- ✓Real-time application health
- ✓exception tracking
- ✓Application Performance management
- ✓Good for .NET and Windows Server
Cons of Stackify
No cons listed yet.
Stackify Alternatives & Comparisons
What are some alternatives to Stackify?
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 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!
OpenCensus
It is a set of libraries for various languages that allow you to collect application metrics and distributed traces, then transfer the data to a backend of your choice in real time. This data can be analyzed by developers and admins to understand the health of the application and debug problems.
