AppDynamics and Elastic Observability are leading solutions in the observability space. AppDynamics seems to have the upper hand in ease of use and customer support, while Elastic Observability stands out in scalability and cost-effectiveness.
Features: AppDynamics users value its application performance monitoring, business transaction monitoring, and ease of integrations. Elastic Observability is praised for its scalability, powerful search capabilities, and unified logging and metrics.
Room for Improvement: AppDynamics users suggest enhanced AI capabilities, better integration support, and improved automation features. Elastic Observability users desire better alerting mechanisms, more user-friendly documentation, and easier-to-use interfaces.
Ease of Deployment and Customer Service: AppDynamics users find deployment straightforward and value strong customer support. Elastic Observability offers flexible deployment options but has mixed reviews regarding support responsiveness.
Pricing and ROI: AppDynamics users feel their high costs are justified by performance and support but seek more transparent pricing. Elastic Observability is valued for its lower setup costs and open-source nature, providing good value but requiring more internal expertise.
One example is the inability to monitor very old databases with the newest version.
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
AppDynamics is a comprehensive tool used for monitoring application performance, identifying user issues, analyzing traffic, managing infrastructure, and performance testing. It supports environments like Kubernetes, WebLogic, and Azure, and is crucial for industries such as banking, telecommunications, and financial services.
AppDynamics offers a robust solution for application performance monitoring, enabling deep diagnostics, transaction tracing, and root cause analysis. Users benefit from its real-time monitoring and comprehensive analytics capabilities. It's designed for ease of implementation and scalability, featuring intuitive dashboards that streamline infrastructure optimization and enhance user experience. AppDynamics supports extensive third-party extensions and provides proactive monitoring and alerting to ensure optimal system health. It assists in troubleshooting, database monitoring, and setting custom alerts to address Java applications and performance challenges efficiently.
What are the most important features of AppDynamics?
What benefits or ROI should users look for in reviews?
AppDynamics is widely adopted in banking, telecommunications, and financial services to ensure optimal user experience and system health. Its capabilities support these industries in maintaining robust, efficient, and reliable applications. The tool is instrumental in troubleshooting, performance optimization, and providing a seamless user experience.
Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
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