Arize ML Observability Platform vs. IBM Instana

With enterprise IT assets in a multitude of ecosystems, cloud infrastructures and sometimes still left stuck in a legacy on prem architecture, IBM Instana makes it easy to get the right data to drive development and / or DevSecOps processes with tangible input from the target environment itself.

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

• 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

Instana has been able to fulfill our all requirement and provide out of box solution for multiple component like AWS RDS Monitoring and real time alerting setup on basis of that. it is also easy to integrate with other open-source alerting and monitoring tools which makes it easier to incorporate into our solutions

Incentivized

IBM Instana totally alters our monitoring approach since it increases the stability of the system and simplifies the process of problem solving. And since it helps to lower the degree of alert exhaustion that we experience, it is a total game changer for us.

Incentivized

IBM instana support team is good but when we ask them for support, they keep asking same thing again and again and mostly there is no solution

Incentivized

As a DevOps engineer, I've explored various Application Performance Monitoring (APM) tools, including New Relic for real-time insights, AppDynamics for code-level visibility, Dynatrace for AI-driven monitoring, Datadog for comprehensive observability, Splunk for log management, Stackify Retrace for error tracking, and Raygun for crash reporting. Each tool offers distinct features, and the choice depends on specific use cases, technology stacks, and organizational needs. Thorough evaluations, considering factors like ease of use, integration capabilities, and scalability, help in selecting the most suitable APM solution for effective application monitoring in a DevOps environment.

Incentivized

• Let's me monitor and pinpoint issues across multiple critical systems and applications that work in tandem, reducing drastically, the time in identifying root cause and solving the issues.
• Let's me deep dive into issues found with a lot of detailed information about particular requests , and find proper solutions by my own research or even with Gen AI assistant using Watson.x or you could prompt your AI solution of choice as well.
• All systems fail at some point, so IBM Instana gives stakeholders ease that large complex and critical systems that affect the very livelihood of people is being observed with pinpoint precision and that issues are addressed promptly and with compass pointing north towards the problem's root cause and solutions.

Incentivized