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AppDynamics vs Stackify: What are the differences?
- Deployment Options: AppDynamics offers both on-premise and cloud deployment options, providing flexibility for organizations with different infrastructure requirements. On the other hand, Stackify primarily focuses on cloud-based deployment, making it an ideal choice for businesses looking to leverage the benefits of cloud services without the need for on-premise setup.
- Supported Technologies: AppDynamics supports a wide range of programming languages and technologies, including Java, .NET, Python, and Node.js. In contrast, Stackify specializes in .NET and Java technologies, offering in-depth performance monitoring and diagnostics specifically tailored to these environments.
- Ease of Use: AppDynamics is known for its user-friendly interface and intuitive dashboard, making it easy for users to navigate and analyze performance data effectively. Stackify also provides a simple and straightforward interface, but its focus on .NET and Java technologies may require additional customization for organizations using other programming languages.
- Cost Structure: AppDynamics adopts a pricing model based on the number of application instances monitored, offering scalability for growing businesses. Stackify, on the other hand, follows a subscription-based pricing model, making it a cost-effective solution for small to medium-sized enterprises looking for comprehensive application performance monitoring.
- Alerting and Reporting Capabilities: AppDynamics provides advanced alerting and reporting features, allowing users to set up custom alerts and generate detailed performance reports for proactive monitoring. While Stackify also offers alerting and reporting functionalities, it may have limitations compared to the robust capabilities of AppDynamics in this aspect.
- Third-Party Integrations: AppDynamics offers seamless integrations with a wide range of third-party tools and services, enhancing its compatibility with existing workflows and systems. Stackify, while compatible with popular development tools and services, may have fewer integrations available compared to AppDynamics.
In Summary, the key differences between AppDynamics and Stackify lie in their deployment options, supported technologies, ease of use, cost structure, alerting and reporting capabilities, and third-party integrations, catering to different needs and preferences of organizations in the realm of application performance monitoring.
Advice on AppDynamics and Stackify
Farzeem Diamond Jiwani
Software Engineer at IVP · | 8 upvotes · 1.5M views
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!
Radha Srinivasan
Hi Folks,
I am trying to evaluate Site24x7 against AppDynamics, Dynatrace, and New Relic. Has anyone used Site24X7? If so, what are your opinions on the tool? I know that the license costs are very low compared to other tools in the market. Other than that, are there any major issues anyone has encountered using the tool itself?
Replies (1)
Lucas Rincon
Tech Evangelist · | 2 upvotes · 120.1K views
what are the most important things you are looking for the tools to do? each has their strong points... are you looking to monitor new tech like containers, k8s, and microservices?
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Learn MorePros of AppDynamics
Pros of Stackify
Pros of AppDynamics
- Deep code visibility21
- Powerful13
- Real-Time Visibility8
- Great visualization7
- Easy Setup6
- Comprehensive Coverage of Programming Languages6
- Deep DB Troubleshooting4
- Excellent Customer Support3
Pros of Stackify
- Error tracking8
- Monitoring7
- Easy setup7
- Log management7
- Real-time application health6
- Alerting6
- Application performance6
- exception tracking5
- Application Performance management2
- Good for .NET and Windows Server1
- Great APM with integrated log & exception management1
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Cons of AppDynamics
Cons of Stackify
Cons of AppDynamics
- Expensive5
- Poor to non-existent integration with aws services2
Cons of Stackify
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What is AppDynamics?
AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
What 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
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Jobs that mention AppDynamics and Stackify as a desired skillset
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What companies use Stackify?
What companies use AppDynamics?
What companies use Stackify?
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What tools integrate with AppDynamics?
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What are some alternatives to AppDynamics and Stackify?
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!
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.
Nagios
Nagios is a host/service/network monitoring program written in C and
released under the GNU General Public License.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
ELK
It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.