Elastic Observability vs. IBM Instana

We can use this Elastic Observability in our business problems such as Creating internal/operational efficiencies issues, customer relations/service, and business process outcomes issues. This product has a lot of features for the above problems. But this product may be having some issues when charting purposes. But it can adjust for that purpose.

Incentivized

I would recommend IBM Instana based on its strengths in automating application performance monitoring, dynamic tracing, and its ability to handle modern, containerized environments effectively. The automatic discovery and mapping feature, along with AI-powered anomaly detection, provide valuable insights for proactive issue resolution. However, I would consider factors such as the organization's specific technology stack, scalability requirements, and budget constraints. Conducting a thorough evaluation, including a trial or proof of concept, would be essential to ensure that IBM Instana aligns with our unique needs and contributes positively to our technology and business objectives.

Incentivized

• Open source code base
• Community support
• Is fast in processing

Incentivized

• Collecting Kubernetes and Infra level logs and presenting in easy to understand visuals.
• Tracing the end-to-end journey of an event and also categorizing by technology and Endpoints
• Built-in and custom alerts help to monitor almost all of scenarios without much additional configuration.
• Ability to create Applications to logical group important flows

Incentivized

• Difficult to setup/maintain
• Search pattern bar could be more user-friendly
• Premium subscription features are very expensive

Incentivized

• I believe that the "live" option in monitoring does not truly update the status in real-time, thus I must manually update to feel comfortable.
• The call analysis tool might be improved, third-party resources are restricted, and the pricing is slightly more than competitors in comparable categories.

Incentivized

Splunk is a very good product but the licensing costs are high; we utilise the best of both worlds by using both products for slightly different purposes. We put the voluminous data with simple use cases in Elastic where it doesn't cost too much and can be searched quickly while putting the less voluminous data with more complex use cases in Splunk so we can take advantage of Splunk's very comprehensive but often much slower SPL search query language

Incentivized

We chose IBM Instana for several reasons, and the most important one is that we didn't have to make changes in our code for nearly all of our applications for it to work. We are happy with the decision we made to use IBM Instana.

Incentivized

• Cost management.
• Good customer increment.
• Time management.

Incentivized

• System down time is shortened as our ability to troubleshoot issues goes up.
• Potential downtime is stopped as we are able to slow down calls/ availability of calls in response to monitoring the dashboard.
• We are able to react to issues quickly through the smart alert system rather than manual checks.

Incentivized