VMware Aria Operations for Applications and Elastic Observability are competing in the monitoring and analytics category in IT environments. Users appear to prefer VMware Aria Operations for Applications for its deployment ease and customer service, while Elastic Observability is valued for its features and versatility.
Features: VMware Aria Operations for Applications offers performance monitoring, predictive analysis, and effective resource utilization. Elastic Observability provides log analytics, advanced search capabilities, and flexible data ingestion options.
Room for Improvement: VMware Aria Operations for Applications needs better integration, more flexible pricing, and improved scalability. Elastic Observability can enhance its ease of use, documentation, and reduce the complexity of its deployment process.
Ease of Deployment and Customer Service: VMware Aria Operations for Applications is notable for its straightforward deployment and responsive customer service. Elastic Observability has a steep learning curve during deployment but offers strong support once operational.
Pricing and ROI: VMware Aria Operations for Applications is recognized for competitive pricing and solid ROI through its monitoring features. Elastic Observability is cost-effective due to its capabilities and versatility, despite potentially higher initial setup costs.
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.
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.
VMware Tanzu Observability by Wavefront is a powerful tool for monitoring and analyzing the performance and availability of applications and infrastructure in real-time.
With its comprehensive monitoring capabilities, visualizing and analyzing data becomes effortless. The real-time alerting system ensures timely issue resolution, while scalability and a user-friendly interface provide a seamless experience for smooth operations.
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