Catchpoint vs. Splunk AppDynamics

Proactive Website and API performance testing, Synthetic monitoring, and third-party integration are where Catchpoint is best suited. Catchpoint is less appropriate in Deep Application Performance monitoring, debugging complex user journeys in real-time, Small businesses, and Mobile app performance monitoring. These are the scenarios where I find Catchpoint is well-suited and scenarios where it is less appropriate.

Incentivized

Platforms for software as a service (SaaS) frequently cater to a large number of users with a variety of needs and usage patterns. Because AppDynamics offers multi-tenant monitoring capabilities to track performance across various customer environments, it is a good choice for SaaS platform monitoring. SaaS providers can maximize resource utilization, proactively detect and resolve performance issues, and provide a dependable and consistent user experience for their clients with AppDynamics.

• Catchpoint Synthetics: We create our synthetic monitoring using catchpoint. Creating the synthetics monitors are easy and requires basic knowledge on selenium and javascript. It allows you to run the test from external(backbone) and internal enterprise nodes. The screenshot and filmstrip feature is an add-on along with various customisations. Once created, It provides a detailed insight of each request that is involved in the application flow which helps us in addressing the issue at the request level.
• Catchpoint API Test: This is another kind of test which we have explored in our organisation. This has helped us to maintain the health check of our APIs and also we have utilised it for a variety of our use cases.
• Catchpoint Dashboard: This is our one-stop shop for all our monitors. It has multiple widgets that displays various application performance metrics. We use this feature immensely and it is of great value to the business.
• Catchpoint UI: It is very user friendly and with basic introduction anyone can just get started with it.

Incentivized

• AppDynamics excels in creating dynamic baselines for application performance. For instance, during periods of varying workloads, it automatically adjusts performance baselines. This adaptive baseline creation helps in accurately detecting anomalies and deviations, ensuring that abnormal behavior is quickly identified and addressed.
• The scalability of an organization's apps can be evaluated with the assistance of AppDynamics. It gives insights into how effectively programs can handle increased workloads, helping to proactively address scalability concerns before they impair performance.

• The ability to monitor the Catchpoint nodes with the ability to setup a take a recovery action based on specific criteria
• The ability to tell us when we are at X% capacity so that we better plan or budget for increasing the "capacity" of the Catchpoint nodes before we get to an overloaded state. The capacity utilization graph is not a reliable indicator for this metric. How can the capacity utilization rate get above 100%, it does not make sense

Incentivized

• The initial setup process of AppDynamics could be more user-friendly. Some users find the configuration and onboarding to be a bit complex. Improving the onboarding experience could make it more accessible, especially for smaller teams or those with limited resources.
• It can be difficult for some users to get AppDynamics up and running for the first time. For new users, the platform's usability might be improved by streamlining the onboarding process or providing more user-friendly setup wizards.

we are heavily dependent catchpoint system for the following functions * Detect end-user availability/performance-related problems * Ensures
service level objectives (SLO) are met, that prevents service level
agreement (SLA) breaches * Identify and understand the cause of any
network connectivity or application level issue * Improves the
availability and response time service levels

Incentivized

its working for us, we are familiar and comfortable with the tool and its proven valuable/indispensable in helping evaluate our code.

Incentivized

It's hard to find the functionalities that I am looking for in the application. Even if I did something in the past, after a time I have to re-learn again where the functionalities are. This is a powerful tool, but not user-friendly. Texts in the buttons and menus are not always meaningful or easily comprehensible.

Incentivized

Actually, I would like to give it a score of 10 out of 10, but taking into account certain factors such as: the cost of the annual licence, the complexity of installation and configuration, the blurring of setting Splunk AppDynamics over the cloud and especially OpenShift since we use it as a container platform. So, 8 out of 10 looks perfect for it

Incentivized

The customer support is fantastic as they keep you updated and follow up even though we may not even follow up. Make sure they send a communication so that we remain updated. They value engineers who will get on a call with you to understand any requirement we have on any test, and they bring in the best developers on call.

Incentivized

AppDynamics has its own community site that includes forums and a knowledge base. On the forums, you can converse with other members of the community and ask technical questions as you have them. Though this forum isn’t filled with people there are active members for you to gain some valuable insights.

Incentivized

very easy to implement as the product is user-friendly

Incentivized

Datadog is good, but more expensive. New Relic is good but does not provide the same features as Catchpoint does. Checkly is good, but Catchpoint offers different frameworks to create synthetic tests, which is preferable to my engineering team.

Incentivized

It is distinguished from these programs because the platform provides visualizations of application processes, showing the interplay between various parts and services. Understanding the architecture of complicated apps and finding their weak spots is greatly aided by this.

• Catchpoint points based licensing for public hosted nodes is complicated and unpredictable in points required.
• Catchpoint lacks AI powered anomaly detection and automated remediation. This gap means more manual triage and slower MTTR during incidents.
• The advanced 360 degree blackbox monitoring is enabling us to monitor the APIs, UI and proactively gain insights into the application behavior and performance before customer is impacted.

Incentivized

• We can optimize infrastructure utilization and lower cloud or server costs by locating and removing resource-intensive bottlenecks with the aid of AppDynamics.
• Building trust with external stakeholders and encouraging accountability within our organization, AppDynamics' comprehensive reporting and monitoring capabilities offer transparency into the health of applications.
• We can find bugs earlier and improve development workflows with the help of AppDynamics' real-time insights and code-level profiling.

Incentivized