Digital Performance Monitoring and Management System

Rise Up With the Most Interesting Real Time Monitoring

A real time monitoring analytics integrated with automated anomaly detection, fetching a deep performance insight that eliminates business insight latency thereby fortifying expeditious business decisions due to its untapped insights.

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The power of Coherent Business Strategy

Megamonit believes in making your software a means to develop a coherent business strategy, by elimination of the blind spots through AI analytics.

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MegaMonit a single click solution.

Megamonit’s flexibility spans from providing single click solutions for front end, back end and also full stack monitoring simultaneously.

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DASHBOARDS

With automated dashboards being made available at your fingertips with the help of our AI analytics, we at MEGAMONIT give you unlimited access to essential business insights and present reports that help your core teams to manage your business in a more prudent manner.

ALERTING

MEGAMONIT helps you to identify and prioritize the actual problems that would be overbearing on your customers in times to come, rather than producing a plethora of unnecessary metrics and overwhelm the process of anomaly detection for the users.

PLUGINS

MEGAMONIT is integrated with various plugins to process human language better and make the content better. It identifies the various groups of information people are looking for, analyzes the content, strives to understand the context behind it and provides a nearly accurate kind of information catering to the customer needs.

Monitoring for Full Stack Environment

Kubernetes Monitoring supported out of the box

Megmonit agent is purpose-built for containers and supports Docker containers natively. In Kubernetes Megaamonit integrates into the Kubelet binary to-discover all containers in the machine and collects CPU, memory, filesystem, and network usage statistics , also provides the overall machine usage by analyzing the ‘root’ container on the machine.

Monitoring for Full Stack Environment

Cloud, Coutainer, & Infrastructure Monitoring

➧ Server monitoring ➧ Microservices & container monitoring ➧ Kubernetes Monitoring ➧ Cloud monitoring ➧ Network monitoring ➧ Virtualization monitoring ➧ Log analytics

Monitoring for Full Stack Environment

Opentracing compatible libraries

Megamonit with help of opentracing libraries like (Jaeger,Zipkin) will enable you to observe every request at scale. In real-time. Across web, mobile, microservices, and monoliths. Use distributed traces to understand performance problems and identify the teams that can fix them.

Monitoring for Full Stack Environment

Application Performance & Monitoring

➧ Deep-dive application monitoring ➧ Database monitoring ➧ Continuous delivery analytics ➧ Wire data analytics ➧ Application performance monitoring ➧ Service back trace

Monitoring for Full Stack Environment

Digital Experience Analytics

➧ Synthetic availability monitoring ➧ Real user monitoring ➧ Mobile app analytics ➧ Business transactions ➧ Connected device experience / IoT

01 02 03 04 05

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How the MegaMonit works

“MegaMonit auto-find and benchmark your whole IT eco system , contianers and kubernetes in minutes. Get full bits of knowledge into client experience and business affect .Easily screen and oversee application execution and cloud framework. Resolve application issues before your clients are affected.”

Know Now

We accelerate innovation and transformation for the biggest and brightest brands.

Digital Experience Analytics & Monitoring

Application Monitoring & Performance Management

Cloud, Container, & Infrastructure Monitoring

Integrated with Various Plugins to process

Line of code

Solutions

K+

Active users

K+

Download

MegaMonit is an awesome support for your business

SCREENSHOTS

Beautiful interface

With automated dashboards being made available at your fingertips with the help of our AI analytics, we at MEGAMONIT give you unlimited access to essential business insights and present reports that help your core teams to manage your business in a more prudent manner. MEGAMONIT not only allows you to integrate any level of data easily for effective summarization but our dashboards offer high resolution metrics and events for productive manipulation and efficacious graphing. MEGAMONIT allows you to carefully keep track of the specific data that’s forms to be the most critical performance metrics by segregating it from the whole and creating a custom dashboard for better vigilance. Weempower you by providing the flexibility to create any dashboard with reference to any kind of data without falling into the clutches of codes.

Comparing Over time or Experiment Groups

AppDynamics vs Datadog vs Megamonit Comparison Chart

Out of the box Support monitoring for KubernetesOut of the box Support monitoring for Kubernetes
Cloud metrics (AWS/GCE/Azure/Rackspace)Cloud metrics (AWS/GCE/Azure/Rackspace)
Node level and application level metricsNode level and application level metrics
Tracing support using open tracing librariesTracing support using open tracing libraries
100+ turn-key integrations for data aggregation100+ turn-key integrations for data aggregation
Clean graphs of StatsD and other integrationsClean graphs of StatsD and other integrations
Slice and dice graphs and alerts by tags, roles, and moreSlice and dice graphs and alerts by tags, roles, and more
Easy-to-use search for hosts, metrics, and tagsEasy-to-use search for hosts, metrics, and tags
Alert notifications via e-mail and PagerDutyAlert notifications via e-mail and PagerDuty
Full API accessFull API access
Overlay metrics and events across disparate sourcesOverlay metrics and events across disparate sources
Out-of-the-box and customizable monitoring dashboardsOut-of-the-box and customizable monitoring dashboards
Easy way to compute rates, ratios, averages, or integralsEasy way to compute rates, ratios, averages, or integrals
Sampling intervals of 1,5,10 secondsSampling intervals of 1,5,10 seconds
a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
a flexible query language to leverage this dimensionalitya flexible query language to leverage this dimensionality
no dependency on distributed storage; single server nodes are autonomousno dependency on distributed storage; single server nodes are autonomous
timeseries collection happens via a pull model over HTTPtimeseries collection happens via a pull model over HTTP
pushing timeseries is supported via an intermediary gatewaypushing timeseries is supported via an intermediary gateway
targets are discovered via service discovery or static configurationtargets are discovered via service discovery or static configuration
multiple modes of graphing and dashboarding supportmultiple modes of graphing and dashboarding support
support for hierarchical and horizontal federationsupport for hierarchical and horizontal federation
Dynamic baselining and powerful alertingDynamic baselining and powerful alerting
Visibility and controlVisibility and control
Application performance management agentsApplication performance management agents
Data retentionData retention
Monitor multiple platformsMonitor multiple platforms
Troubleshoot performance issues in productionTroubleshoot performance issues in production
Trend database performance over timeTrend database performance over time
Continuously monitor in a high-volume environmentContinuously monitor in a high-volume environment
Install and begin using immediatelyInstall and begin using immediately
Database agentsDatabase agents
Server VisibilityServer Visibility
Synthetic MonitoringSynthetic Monitoring
Mute all alerts with 1 click during upgrades and maintenanceMute all alerts with 1 click during upgrades and maintenance
Ad-hoc analysis of high-volume dataAd-hoc analysis of high-volume data
Can be set up and used entirely in-houseCan be set up and used entirely in-house
Centralized data hubCentralized data hub
Complex business queries without programming or SQL writingComplex business queries without programming or SQL writing
Consolidates, stores, and accumulates dataConsolidates, stores, and accumulates data
Drag-and-drop user interfaceDrag-and-drop user interface
Intuitive ‘script-less’ user interfaceIntuitive ‘script-less’ user interface
Embed entire dashboards or individual widgetsEmbed entire dashboards or individual widgets
Enables to deliver interactive terabyte-scale analyticsEnables to deliver interactive terabyte-scale analytics
Exports data to CSV, PDF, Excel, Images and other formatsExports data to CSV, PDF, Excel, Images and other formats
Eye-grabbing visualizationEye-grabbing visualization
Filters data by dropping fields on the canvasFilters data by dropping fields on the canvas
Handles data at scale on a single commodity serverHandles data at scale on a single commodity server
Identifies critical metrics using filtering, calculationsIdentifies critical metrics using filtering, calculations
Integrated data connectors joining multiple data sources and formatsIntegrated data connectors joining multiple data sources and formats
Integrates with external web sites or web applicationsIntegrates with external web sites or web applications
Integrates with web portalsIntegrates with web portals
Interactive browser-based dashboardsInteractive browser-based dashboards
Removes limitations to data sizeRemoves limitations to data size
Use Single-Sign-On to keep a single authentication mechanismUse Single-Sign-On to keep a single authentication mechanism
Wide range of widgets such as gauges, charts, and graphsWide range of widgets such as gauges, charts, and graphs
BitiumBitium
BoxBox
DatadogDatadog
DropboxDropbox
FacebookFacebook
GitHubGitHub
Google DriveGoogle Drive
HipChatHipChat
JIRA SoftwareJIRA Software
MailChimpMailChimp
NetSuiteNetSuite
OpsGenieOpsGenie
PagerDutyPagerDuty
Salesforce Sales CloudSalesforce Sales Cloud
SlackSlack
TwilioTwilio
TwitterTwitter
WorkatoWorkato
ZapierZapier
ZendeskZendesk
Certifications SOC 2Certifications SOC 2
Encryption of sensitive data at restEncryption of sensitive data at rest
Encryption: HTTPS for all pagesEncryption: HTTPS for all pages
Access control: Multi-factor authentication optionsAccess control: Multi-factor authentication options
Data policy: Data backup in multiple locations/GEO regions

MegaMonit
FEATURES
Out of the box Support monitoring for Kubernetes
Cloud metrics (AWS/GCE/Azure/Rackspace)
Node level and application level metrics
Tracing support using open tracing libraries
100+ turn-key integrations for data aggregation
Clean graphs of StatsD and other integrations
Slice and dice graphs and alerts by tags, roles, and more
Easy-to-use search for hosts, metrics, and tags
Alert notifications via e-mail and PagerDuty
Full API access
Overlay metrics and events across disparate sources
Out-of-the-box and customizable monitoring dashboards
Easy way to compute rates, ratios, averages, or integrals
Sampling intervals of 1,5,10 seconds
a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
a flexible query language to leverage this dimensionality
no dependency on distributed storage; single server nodes are autonomous
timeseries collection happens via a pull model over HTTP
pushing timeseries is supported via an intermediary gateway
targets are discovered via service discovery or static configuration
multiple modes of graphing and dashboarding support
support for hierarchical and horizontal federation
Dynamic baselining and powerful alerting
Visibility and control
Application performance management agents
Data retention
Monitor multiple platforms
Troubleshoot performance issues in production
Trend database performance over time
Continuously monitor in a high-volume environment
Install and begin using immediately
Database agents
Server Visibility
Synthetic Monitoring
Mute all alerts with 1 click during upgrades and maintenance
Ad-hoc analysis of high-volume data
Can be set up and used entirely in-house
Centralized data hub
Complex business queries without programming or SQL writing
Consolidates, stores, and accumulates data
Drag-and-drop user interface
Intuitive ‘script-less’ user interface
Embed entire dashboards or individual widgets
Enables to deliver interactive terabyte-scale analytics
Exports data to CSV, PDF, Excel, Images and other formats
Eye-grabbing visualization
Filters data by dropping fields on the canvas
Handles data at scale on a single commodity server
Identifies critical metrics using filtering, calculations
Integrated data connectors joining multiple data sources and formats
Integrates with external web sites or web applications
Integrates with web portals
Interactive browser-based dashboards
Removes limitations to data size
Use Single-Sign-On to keep a single authentication mechanism
Wide range of widgets such as gauges, charts, and graphs
INTEGRATIONS
Bitium
Box
Datadog
Dropbox
Facebook
GitHub
Google Drive
HipChat
JIRA Software
MailChimp
NetSuite
OpsGenie
PagerDuty
Salesforce Sales Cloud
Slack
Twilio
Twitter
Workato
Zapier
Zendesk
SECURITY
Certifications SOC 2
Encryption of sensitive data at rest
Encryption: HTTPS for all pages
Access control: Multi-factor authentication options

Competitor-1
FEATURES
Out of the box Support monitoring for Kubernetes
Cloud metrics (AWS/GCE/Azure/Rackspace)
Node level and application level metrics
Tracing support using open tracing libraries
100+ turn-key integrations for data aggregation
Clean graphs of StatsD and other integrations
Slice and dice graphs and alerts by tags, roles, and more
Easy-to-use search for hosts, metrics, and tags
Alert notifications via e-mail and PagerDuty
Full API access
Overlay metrics and events across disparate sources
Out-of-the-box and customizable monitoring dashboards
Easy way to compute rates, ratios, averages, or integrals
Sampling intervals of 1,5,10 seconds
a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
a flexible query language to leverage this dimensionality
no dependency on distributed storage; single server nodes are autonomous
timeseries collection happens via a pull model over HTTP
pushing timeseries is supported via an intermediary gateway
targets are discovered via service discovery or static configuration
multiple modes of graphing and dashboarding support
support for hierarchical and horizontal federation
Dynamic baselining and powerful alerting
Visibility and control
Application performance management agents
Data retention
Monitor multiple platforms
Troubleshoot performance issues in production
Trend database performance over time
Continuously monitor in a high-volume environment
Install and begin using immediately
Database agents
Server Visibility
Synthetic Monitoring
Mute all alerts with 1 click during upgrades and maintenance
Ad-hoc analysis of high-volume data
Can be set up and used entirely in-house
Centralized data hub
Complex business queries without programming or SQL writing
Consolidates, stores, and accumulates data
Drag-and-drop user interface
Intuitive ‘script-less’ user interface
Embed entire dashboards or individual widgets
Enables to deliver interactive terabyte-scale analytics
Exports data to CSV, PDF, Excel, Images and other formats
Eye-grabbing visualization
Filters data by dropping fields on the canvas
Handles data at scale on a single commodity server
Identifies critical metrics using filtering, calculations
Integrated data connectors joining multiple data sources and formats
Integrates with external web sites or web applications
Integrates with web portals
Interactive browser-based dashboards
Removes limitations to data size
Use Single-Sign-On to keep a single authentication mechanism
Wide range of widgets such as gauges, charts, and graphs
INTEGRATIONS
Bitium
Box
Datadog
Dropbox
Facebook
GitHub
Google Drive
HipChat
JIRA Software
MailChimp
NetSuite
OpsGenie
PagerDuty
Salesforce Sales Cloud
Slack
Twilio
Twitter
Workato
Zapier
Zendesk
SECURITY
Certifications SOC 2
Encryption of sensitive data at rest
Encryption: HTTPS for all pages
Access control: Multi-factor authentication options

Competitor-2
FEATURES
Out of the box Support monitoring for Kubernetes
Cloud metrics (AWS/GCE/Azure/Rackspace)
Node level and application level metrics
Tracing support using open tracing libraries
100+ turn-key integrations for data aggregation
Clean graphs of StatsD and other integrations
Slice and dice graphs and alerts by tags, roles, and more
Easy-to-use search for hosts, metrics, and tags
Alert notifications via e-mail and PagerDuty
Full API access
Overlay metrics and events across disparate sources
Out-of-the-box and customizable monitoring dashboards
Easy way to compute rates, ratios, averages, or integrals
Sampling intervals of 1,5,10 seconds
a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
a flexible query language to leverage this dimensionality
no dependency on distributed storage; single server nodes are autonomous
timeseries collection happens via a pull model over HTTP
pushing timeseries is supported via an intermediary gateway
targets are discovered via service discovery or static configuration
multiple modes of graphing and dashboarding support
support for hierarchical and horizontal federation
Dynamic baselining and powerful alerting
Visibility and control
Application performance management agents
Data retention
Monitor multiple platforms
Troubleshoot performance issues in production
Trend database performance over time
Continuously monitor in a high-volume environment
Install and begin using immediately
Database agents
Server Visibility
Synthetic Monitoring
Mute all alerts with 1 click during upgrades and maintenance
Ad-hoc analysis of high-volume data
Can be set up and used entirely in-house
Centralized data hub
Complex business queries without programming or SQL writing
Consolidates, stores, and accumulates data
Drag-and-drop user interface
Intuitive ‘script-less’ user interface
Embed entire dashboards or individual widgets
Enables to deliver interactive terabyte-scale analytics
Exports data to CSV, PDF, Excel, Images and other formats
Eye-grabbing visualization
Filters data by dropping fields on the canvas
Handles data at scale on a single commodity server
Identifies critical metrics using filtering, calculations
Integrated data connectors joining multiple data sources and formats
Integrates with external web sites or web applications
Integrates with web portals
Interactive browser-based dashboards
Removes limitations to data size
Use Single-Sign-On to keep a single authentication mechanism
Wide range of widgets such as gauges, charts, and graphs
INTEGRATIONS
Bitium
Box
Datadog
Dropbox
Facebook
GitHub
Google Drive
HipChat
JIRA Software
MailChimp
NetSuite
OpsGenie
PagerDuty
Salesforce Sales Cloud
Slack
Twilio
Twitter
Workato
Zapier
Zendesk
SECURITY
Certifications SOC 2
Encryption of sensitive data at rest
Encryption: HTTPS for all pages
Access control: Multi-factor authentication options

Click here to expand!Click here to collapse!

Out of the box Support monitoring for KubernetesOut of the box Support monitoring for Kubernetes
Cloud metrics (AWS/GCE/Azure/Rackspace)Cloud metrics (AWS/GCE/Azure/Rackspace)
Node level and application level metricsNode level and application level metrics
Tracing support using open tracing librariesTracing support using open tracing libraries
100+ turn-key integrations for data aggregation100+ turn-key integrations for data aggregation
Clean graphs of StatsD and other integrationsClean graphs of StatsD and other integrations
Slice and dice graphs and alerts by tags, roles, and moreSlice and dice graphs and alerts by tags, roles, and more
Easy-to-use search for hosts, metrics, and tagsEasy-to-use search for hosts, metrics, and tags
Alert notifications via e-mail and PagerDutyAlert notifications via e-mail and PagerDuty
Full API accessFull API access
Overlay metrics and events across disparate sourcesOverlay metrics and events across disparate sources
Out-of-the-box and customizable monitoring dashboardsOut-of-the-box and customizable monitoring dashboards
Easy way to compute rates, ratios, averages, or integralsEasy way to compute rates, ratios, averages, or integrals
Sampling intervals of 1,5,10 secondsSampling intervals of 1,5,10 seconds
a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
a flexible query language to leverage this dimensionalitya flexible query language to leverage this dimensionality
no dependency on distributed storage; single server nodes are autonomousno dependency on distributed storage; single server nodes are autonomous
timeseries collection happens via a pull model over HTTPtimeseries collection happens via a pull model over HTTP
pushing timeseries is supported via an intermediary gatewaypushing timeseries is supported via an intermediary gateway
targets are discovered via service discovery or static configurationtargets are discovered via service discovery or static configuration
multiple modes of graphing and dashboarding supportmultiple modes of graphing and dashboarding support
support for hierarchical and horizontal federationsupport for hierarchical and horizontal federation
Dynamic baselining and powerful alertingDynamic baselining and powerful alerting
Visibility and controlVisibility and control
Application performance management agentsApplication performance management agents
Data retentionData retention
Monitor multiple platformsMonitor multiple platforms
Troubleshoot performance issues in productionTroubleshoot performance issues in production
Trend database performance over timeTrend database performance over time
Continuously monitor in a high-volume environmentContinuously monitor in a high-volume environment
Install and begin using immediatelyInstall and begin using immediately
Database agentsDatabase agents
Server VisibilityServer Visibility
Synthetic MonitoringSynthetic Monitoring
Mute all alerts with 1 click during upgrades and maintenanceMute all alerts with 1 click during upgrades and maintenance
Ad-hoc analysis of high-volume dataAd-hoc analysis of high-volume data
Can be set up and used entirely in-houseCan be set up and used entirely in-house
Centralized data hubCentralized data hub
Complex business queries without programming or SQL writingComplex business queries without programming or SQL writing
Consolidates, stores, and accumulates dataConsolidates, stores, and accumulates data
Drag-and-drop user interfaceDrag-and-drop user interface
Intuitive ‘script-less’ user interfaceIntuitive ‘script-less’ user interface
Embed entire dashboards or individual widgetsEmbed entire dashboards or individual widgets
Enables to deliver interactive terabyte-scale analyticsEnables to deliver interactive terabyte-scale analytics
Exports data to CSV, PDF, Excel, Images and other formatsExports data to CSV, PDF, Excel, Images and other formats
Eye-grabbing visualizationEye-grabbing visualization
Filters data by dropping fields on the canvasFilters data by dropping fields on the canvas
Handles data at scale on a single commodity serverHandles data at scale on a single commodity server
Identifies critical metrics using filtering, calculationsIdentifies critical metrics using filtering, calculations
Integrated data connectors joining multiple data sources and formatsIntegrated data connectors joining multiple data sources and formats
Integrates with external web sites or web applicationsIntegrates with external web sites or web applications
Integrates with web portalsIntegrates with web portals
Interactive browser-based dashboardsInteractive browser-based dashboards
Removes limitations to data sizeRemoves limitations to data size
Use Single-Sign-On to keep a single authentication mechanismUse Single-Sign-On to keep a single authentication mechanism
Wide range of widgets such as gauges, charts, and graphsWide range of widgets such as gauges, charts, and graphs
BitiumBitium
BoxBox
DatadogDatadog
DropboxDropbox
FacebookFacebook
GitHubGitHub
Google DriveGoogle Drive
HipChatHipChat
JIRA SoftwareJIRA Software
MailChimpMailChimp
NetSuiteNetSuite
OpsGenieOpsGenie
PagerDutyPagerDuty
Salesforce Sales CloudSalesforce Sales Cloud
SlackSlack
TwilioTwilio
TwitterTwitter
WorkatoWorkato
ZapierZapier
ZendeskZendesk
Certifications SOC 2Certifications SOC 2
Encryption of sensitive data at restEncryption of sensitive data at rest
Encryption: HTTPS for all pagesEncryption: HTTPS for all pages
Access control: Multi-factor authentication optionsAccess control: Multi-factor authentication options
Data policy: Data backup in multiple locations/GEO regions

MegaMonit
FEATURES
Out of the box Support monitoring for Kubernetes
Cloud metrics (AWS/GCE/Azure/Rackspace)
Node level and application level metrics
Tracing support using open tracing libraries
100+ turn-key integrations for data aggregation
Clean graphs of StatsD and other integrations
Slice and dice graphs and alerts by tags, roles, and more
Easy-to-use search for hosts, metrics, and tags
Alert notifications via e-mail and PagerDuty
Full API access
Overlay metrics and events across disparate sources
Out-of-the-box and customizable monitoring dashboards
Easy way to compute rates, ratios, averages, or integrals
Sampling intervals of 1,5,10 seconds
a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
a flexible query language to leverage this dimensionality
no dependency on distributed storage; single server nodes are autonomous
timeseries collection happens via a pull model over HTTP
pushing timeseries is supported via an intermediary gateway
targets are discovered via service discovery or static configuration
multiple modes of graphing and dashboarding support
support for hierarchical and horizontal federation
Dynamic baselining and powerful alerting
Visibility and control
Application performance management agents
Data retention
Monitor multiple platforms
Troubleshoot performance issues in production
Trend database performance over time
Continuously monitor in a high-volume environment
Install and begin using immediately
Database agents
Server Visibility
Synthetic Monitoring
Mute all alerts with 1 click during upgrades and maintenance
Ad-hoc analysis of high-volume data
Can be set up and used entirely in-house
Centralized data hub
Complex business queries without programming or SQL writing
Consolidates, stores, and accumulates data
Drag-and-drop user interface
Intuitive ‘script-less’ user interface
Embed entire dashboards or individual widgets
Enables to deliver interactive terabyte-scale analytics
Exports data to CSV, PDF, Excel, Images and other formats
Eye-grabbing visualization
Filters data by dropping fields on the canvas
Handles data at scale on a single commodity server
Identifies critical metrics using filtering, calculations
Integrated data connectors joining multiple data sources and formats
Integrates with external web sites or web applications
Integrates with web portals
Interactive browser-based dashboards
Removes limitations to data size
Use Single-Sign-On to keep a single authentication mechanism
Wide range of widgets such as gauges, charts, and graphs
INTEGRATIONS
Bitium
Box
Datadog
Dropbox
Facebook
GitHub
Google Drive
HipChat
JIRA Software
MailChimp
NetSuite
OpsGenie
PagerDuty
Salesforce Sales Cloud
Slack
Twilio
Twitter
Workato
Zapier
Zendesk
SECURITY
Certifications SOC 2
Encryption of sensitive data at rest
Encryption: HTTPS for all pages
Access control: Multi-factor authentication options

AppDynamics
FEATURES
Out of the box Support monitoring for Kubernetes
Cloud metrics (AWS/GCE/Azure/Rackspace)
Node level and application level metrics
Tracing support using open tracing libraries
100+ turn-key integrations for data aggregation
Clean graphs of StatsD and other integrations
Slice and dice graphs and alerts by tags, roles, and more
Easy-to-use search for hosts, metrics, and tags
Alert notifications via e-mail and PagerDuty
Full API access
Overlay metrics and events across disparate sources
Out-of-the-box and customizable monitoring dashboards
Easy way to compute rates, ratios, averages, or integrals
Sampling intervals of 1,5,10 seconds
a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
a flexible query language to leverage this dimensionality
no dependency on distributed storage; single server nodes are autonomous
timeseries collection happens via a pull model over HTTP
pushing timeseries is supported via an intermediary gateway
targets are discovered via service discovery or static configuration
multiple modes of graphing and dashboarding support
support for hierarchical and horizontal federation
Dynamic baselining and powerful alerting
Visibility and control
Application performance management agents
Data retention
Monitor multiple platforms
Troubleshoot performance issues in production
Trend database performance over time
Continuously monitor in a high-volume environment
Install and begin using immediately
Database agents
Server Visibility
Synthetic Monitoring
Mute all alerts with 1 click during upgrades and maintenance
Ad-hoc analysis of high-volume data
Can be set up and used entirely in-house
Centralized data hub
Complex business queries without programming or SQL writing
Consolidates, stores, and accumulates data
Drag-and-drop user interface
Intuitive ‘script-less’ user interface
Embed entire dashboards or individual widgets
Enables to deliver interactive terabyte-scale analytics
Exports data to CSV, PDF, Excel, Images and other formats
Eye-grabbing visualization
Filters data by dropping fields on the canvas
Handles data at scale on a single commodity server
Identifies critical metrics using filtering, calculations
Integrated data connectors joining multiple data sources and formats
Integrates with external web sites or web applications
Integrates with web portals
Interactive browser-based dashboards
Removes limitations to data size
Use Single-Sign-On to keep a single authentication mechanism
Wide range of widgets such as gauges, charts, and graphs
INTEGRATIONS
Bitium
Box
Datadog
Dropbox
Facebook
GitHub
Google Drive
HipChat
JIRA Software
MailChimp
NetSuite
OpsGenie
PagerDuty
Salesforce Sales Cloud
Slack
Twilio
Twitter
Workato
Zapier
Zendesk
SECURITY
Certifications SOC 2
Encryption of sensitive data at rest
Encryption: HTTPS for all pages
Access control: Multi-factor authentication options

Datadog
FEATURES
Out of the box Support monitoring for Kubernetes
Cloud metrics (AWS/GCE/Azure/Rackspace)
Node level and application level metrics
Tracing support using open tracing libraries
100+ turn-key integrations for data aggregation
Clean graphs of StatsD and other integrations
Slice and dice graphs and alerts by tags, roles, and more
Easy-to-use search for hosts, metrics, and tags
Alert notifications via e-mail and PagerDuty
Full API access
Overlay metrics and events across disparate sources
Out-of-the-box and customizable monitoring dashboards
Easy way to compute rates, ratios, averages, or integrals
Sampling intervals of 1,5,10 seconds
a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
a flexible query language to leverage this dimensionality
no dependency on distributed storage; single server nodes are autonomous
timeseries collection happens via a pull model over HTTP
pushing timeseries is supported via an intermediary gateway
targets are discovered via service discovery or static configuration
multiple modes of graphing and dashboarding support
support for hierarchical and horizontal federation
Dynamic baselining and powerful alerting
Visibility and control
Application performance management agents
Data retention
Monitor multiple platforms
Troubleshoot performance issues in production
Trend database performance over time
Continuously monitor in a high-volume environment
Install and begin using immediately
Database agents
Server Visibility
Synthetic Monitoring
Mute all alerts with 1 click during upgrades and maintenance
Ad-hoc analysis of high-volume data
Can be set up and used entirely in-house
Centralized data hub
Complex business queries without programming or SQL writing
Consolidates, stores, and accumulates data
Drag-and-drop user interface
Intuitive ‘script-less’ user interface
Embed entire dashboards or individual widgets
Enables to deliver interactive terabyte-scale analytics
Exports data to CSV, PDF, Excel, Images and other formats
Eye-grabbing visualization
Filters data by dropping fields on the canvas
Handles data at scale on a single commodity server
Identifies critical metrics using filtering, calculations
Integrated data connectors joining multiple data sources and formats
Integrates with external web sites or web applications
Integrates with web portals
Interactive browser-based dashboards
Removes limitations to data size
Use Single-Sign-On to keep a single authentication mechanism
Wide range of widgets such as gauges, charts, and graphs
INTEGRATIONS
Bitium
Box
Datadog
Dropbox
Facebook
GitHub
Google Drive
HipChat
JIRA Software
MailChimp
NetSuite
OpsGenie
PagerDuty
Salesforce Sales Cloud
Slack
Twilio
Twitter
Workato
Zapier
Zendesk
SECURITY
Certifications SOC 2
Encryption of sensitive data at rest
Encryption: HTTPS for all pages
Access control: Multi-factor authentication options

Click here to expand!Click here to collapse!

MegaMonit Pricing

Sign up for MEGAMONIT digital performance monitoring & management service today! Contact for your 15-day free trial.

Contact Us

Rise Up With the Most Interesting Real Time Monitoring

The power of Coherent Business Strategy

MegaMonit a single click solution.

DASHBOARDS

ALERTING

PLUGINS

Monitoring for Full Stack Environment

Kubernetes Monitoring supported out of the box

Monitoring for Full Stack Environment

Cloud, Coutainer, & Infrastructure Monitoring

Monitoring for Full Stack Environment

Opentracing compatible libraries

Monitoring for Full Stack Environment

Application Performance & Monitoring

Monitoring for Full Stack Environment

Digital Experience Analytics

Digital Experience Analytics & Monitoring

Application Monitoring & Performance Management

Cloud, Container, & Infrastructure Monitoring

Integrated with Various Plugins to process

Line of code

Solutions

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MegaMonit

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AppDynamics

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