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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. AppDynamics vs Grafana vs Splunk Cloud

AppDynamics vs Grafana vs Splunk Cloud

OverviewDecisionsComparisonAlternatives

Overview

AppDynamics
AppDynamics
Stacks306
Followers629
Votes68
Splunk Cloud
Splunk Cloud
Stacks170
Followers438
Votes15
Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K

AppDynamics vs Grafana vs Splunk Cloud: What are the differences?

Key Differences between AppDynamics, Grafana, and Splunk Cloud

Introduction: Here, we will discuss the key differences between three popular tools used for monitoring and analyzing various aspects of software applications - AppDynamics, Grafana, and Splunk Cloud. Each of these tools has its own unique features and capabilities that set them apart from one another.

  1. Real-time Analytics and Insight Presentation: AppDynamics excels in providing real-time analytics and insight presentation by offering features like real-time monitoring, automatic detection of anomalies, and root cause analysis. Grafana, on the other hand, focuses on data visualization and exploring data through time-series analytics. It allows users to create interactive and customizable dashboards. Splunk Cloud is known for its powerful log analysis capabilities, providing real-time data analytics, correlation, and visualization.

  2. Comprehensive Application Monitoring: AppDynamics takes a comprehensive approach to application monitoring. It provides end-to-end visibility into application performance, including business transactions, application code, databases, and infrastructure. Grafana specializes in monitoring and visualizing time-series data, providing insights into system and infrastructure metrics. Splunk Cloud focuses on log data monitoring and analysis, offering a wide range of log management and searching capabilities.

  3. Ease of Use and Configuration: AppDynamics offers a user-friendly interface and provides automatic discovery of application components for easy setup and configuration. Grafana is known for its ease of use and customizable dashboards, allowing users to create visually appealing visualizations without requiring extensive technical knowledge. Splunk Cloud provides a user-friendly interface for log data management, searching, and analysis, making it easy for users to extract insights from logs.

  4. Integrations and Extensibility: AppDynamics integrates well with other popular tools and frameworks used in the application development and monitoring ecosystem. It offers out-of-the-box integrations with technologies like Docker, Kubernetes, and AWS. Grafana is highly extensible and integrates with numerous data sources and other monitoring tools, making it a versatile choice for data visualization and analytics. Splunk Cloud supports a wide range of integrations with third-party tools and provides APIs for custom integrations and automation.

  5. Alerting and Notifications: AppDynamics provides extensive alerting capabilities, allowing users to set up alerts based on various application and infrastructure metrics. It offers real-time notifications through multiple channels like email, SMS, and custom integrations. Grafana supports alerting and notifications through its plugin ecosystem, which enables users to set up alerts based on specified conditions and send notifications through various channels. Splunk Cloud offers customizable alerting and notification options based on log events and actions triggered by specific log patterns or conditions.

  6. Pricing and Deployment Options: AppDynamics pricing structures depend on the number of application components being monitored and the desired level of features. It offers multiple deployment options, including on-premises, hybrid, and cloud-based. Grafana is an open-source tool, making it free to use and deploy. It can be self-hosted or used as a cloud service. Splunk Cloud pricing is based on the amount of data ingested and the number of users. It is primarily offered as a cloud-based solution, but on-premises deployments are also available.

In Summary, AppDynamics focuses on real-time analytics and end-to-end application monitoring, Grafana specializes in data visualization and time-series analytics, while Splunk Cloud excels in log management and analysis. Each tool has its own unique features and strengths, giving users options based on their specific monitoring and analysis needs.

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Advice on AppDynamics, Splunk Cloud, Grafana

Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

402k views402k
Comments
Farzeem Diamond
Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceonDatadogDatadogDynatraceDynatraceAppDynamicsAppDynamics

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

1.59M views1.59M
Comments
StackShare
StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k
Comments

Detailed Comparison

AppDynamics
AppDynamics
Splunk Cloud
Splunk Cloud
Grafana
Grafana

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

If you're looking for all the benefits of Splunk® Enterprise with all the benefits of software-as-a-service, then look no further. Splunk Cloud is backed by a 100% uptime SLA, scales to over 10TB/day, and offers a highly secure environment.

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

End User Monitoring;Real-Time Business Transaction Monitoring;Visualize & Manage your Entire Application;Detect Business Impact and Performance Spikes;Isolate Bottlenecks in your Application;Identify Root Cause with Complete Code diagnostics;Kickass for Business: Reports;Kickass for Ops: Dashboards;Kickass for Dev: Agile Comparison
Splunk Cloud delivers all the features of award-winning Splunk® Enterprise, as a cloud-based service. The platform provides access to various apps and enables centralized visibility across cloud, hybrid and on-premises environments; Instant: Instant trial and instant conversion from POC to production; Secure: Completed SOC2 Type 2 Attestation*. Dedicated cloud environments for each customer; Reliable: 100% uptime SLA. All the features of Splunk Enterprise, including apps, APIs, SDKs. 10TB+/day scalability and up to 10x bursting over licensed data volumes**; Hybrid: Centralized visibility across Splunk Cloud (SaaS) and Splunk Enterprise (software);
Create, edit, save & search dashboards;Change column spans and row heights;Drag and drop panels to rearrange;Use InfluxDB or Elasticsearch as dashboard storage;Import & export dashboard (json file);Import dashboard from Graphite;Templating
Statistics
GitHub Stars
-
GitHub Stars
-
GitHub Stars
70.7K
GitHub Forks
-
GitHub Forks
-
GitHub Forks
13.1K
Stacks
306
Stacks
170
Stacks
18.4K
Followers
629
Followers
438
Followers
14.6K
Votes
68
Votes
15
Votes
415
Pros & Cons
Pros
  • 21
    Deep code visibility
  • 13
    Powerful
  • 8
    Real-Time Visibility
  • 7
    Great visualization
  • 6
    Comprehensive Coverage of Programming Languages
Cons
  • 5
    Expensive
  • 2
    Poor to non-existent integration with aws services
Pros
  • 7
    More powerful & Integrates with on-prem & off-prem
  • 3
    Free
  • 3
    Powerful log analytics
  • 1
    Pci compliance
  • 1
    Production debugger
Pros
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
  • 34
    Nicer than the Graphite web interface
Cons
  • 1
    No interactive query builder
Integrations
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Amazon EC2
Amazon EC2
RightScale
RightScale
CloudBees
CloudBees
HP Cloud Compute
HP Cloud Compute
Boundary
Boundary
PagerDuty
PagerDuty
AWS CloudFormation
AWS CloudFormation
AWS CloudTrail
AWS CloudTrail
Graphite
Graphite
InfluxDB
InfluxDB

What are some alternatives to AppDynamics, Splunk Cloud, Grafana?

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!

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

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.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

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.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

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