Selector Analytics vs. Splunk Log Observer

Selector Analytics has proven very useful for our SRE and DevOps teams. It addresses our concern of being able to monitor network health and gives good analytics for our needs. It also helps with problem identification quickly so that we can resolve any potential issues. Getting an idea of network health allows us to identify potential problems beforehand, and we can take measures to fix them.

Incentivized

Great for organizations that need to centralize different types of logging across integration, qa, sandbox and production environments. Would be less impactful for organizations that don't have complex logging needs.

• Network Health Monitoring.
• Realtime Actionable Insights.
• Identifying ways to fix problems.

Incentivized

• Providing in-depth insights
• A related content feature which really helps us to figure out which service is breaking the infrastructure.
• The Log explorer which helps us to explore the entire log and pin point the errors/issues.
• Fast and powerful log investigation

Incentivized

• Dashboard Customizations would be good to have.
• Integration with tools such as Slack.

Incentivized

• Integrating the system with Slack channels
• Saving the logs in different cloud provider
• Viewing the logs at more fine grained level based on user roles and permissions

Incentivized

I'm a Splunk specialist, and I'm involved in its use and improvement.

Incentivized

It gives access to data features for every level of users: from managers and executives to Analysts, each one with the correct level of observation and analysis.

Incentivized

Splunk support is very quick and efficient. Pre-sale specialists are very skilled and available.

Incentivized

Follow a training before starting.

Incentivized

I had not considered other products because Splunk Log Observer was in use in my company before I started working there.

Incentivized

• Helped us identify problems faster.
• Insights to identify ways to prevent future problems.
• Helps us resolve problems faster.
• Reduced our server costs - as we know when to scale up and when to scale down.

Incentivized

• Significantly reduced the MTTR (Mean Time To Recovery), which in turn has improved the end-user experience tremendously.
• Meets compliance requirements of security policies, audit, regulation, and forensics.
• Helps us to track/manage the resource usage on our cloud instances which has a direct implication on the recurring cost.

Incentivized