Evanios and Elastic Observability compete in enhancing IT operations with monitoring and automation. Elastic Observability has an advantage with its comprehensive features, justifying its higher investment.
Features: Evanios provides intelligent correlation capabilities, effective in reducing alert fatigue, and automation suited for small to medium environments. Elastic Observability offers extensive data collection, visualization, and in-depth logging and tracing capabilities, crucial for complex IT ecosystems.
Room for Improvement: Evanios could enhance data visualization, expand capabilities for larger environments, and improve detailed logging features. Elastic Observability may benefit from simplifying deployment, reducing resource-intensive processes, and offering more flexible pricing models.
Ease of Deployment and Customer Service: Evanios delivers a straightforward deployment process with strong customer support. Elastic Observability's deployment is more intricate, but comprehensive documentation and support are beneficial for complex needs.
Pricing and ROI: Evanios provides competitive pricing aimed at solid ROI for small to mid-size businesses. Elastic Observability's higher cost is justified by its advanced capabilities and potential for long-term ROI for enterprises requiring sophisticated observability solutions.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
One example is the inability to monitor very old databases with the newest version.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
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.
the most valued feature of Elastic is its log analytics capabilities.
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.
Every integration, whether for Windows or Linux or even Palo Alto or Fortinet, installs the out-of-the-box dashboards along with it, making it easy to parse incoming data meaningfully and immediately start viewing dashboards to see what's happening in the platform.
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.
A key component of the Event Management process is consolidation of events from across the enterprise. By consolidating disparate events into a single solution, they can be de-duplicated and correlated. For example, network failure events can be correlated with system failures, and then prioritized based on service impact.
Reduce the noise
Evanios Integrations allows filtering and processing close to the event source, keeping the weight off of the ServiceNow system for increased performance. Filters are easily configured. EVA, the Evanios consolidation point also has built in event flood control features, to protect against unexpected event storms which can quickly overload traditional integrations.
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