Grafana Loki vs. IBM Log Analysis with LogDNA

AWS integrations are easy, metrics are easily accesable Long term log insights need to be thought out and set up carefully

Incentivized

IBM Log Analysis with LogDNA is well suited if you are using other IBM cloud product ecosystems. It's very mature and supports HIPAA-compliant configurations if you need to store PI/PHI data. We particularly use it for audit requirements but understand the limitation with the retention period is for 30 days only. Also you need to configure if your IBM cloud service doesn't have any log collection or report tool. Log collection agents are widely supported for most of infrastructure in cloud.

Incentivized

• Integration with AWS
• Notifications land where they should
• Broad integration options

Incentivized

• Easier integration with other IBM cloud resources
• Flexible access control setup using RBAC
• Supports other infrastructure as well, like Kubernetes and VMs

Incentivized

• Offer log suggestions.
• Offer basic query syntax check.
• Offer data range controls.

Incentivized

• Ability to create KPI charts and metrics dashboards out of the box

Incentivized

I think it is very developer minded and has a very high learning curve

Incentivized

Loki is an essential complement to Grafana and provides logging metrics for dashboards and other visual tools. Loki can handle the service logging, while other data source plugins can provide more specific quantifiable metrics to support the logging data. Different types of metrics make a robust data dashboard.

Incentivized

If you use other IBM product ecosystems, IBM Log Analysis with LogDNA is the obvious choice, as it supports seamless integration and better access control with IBM cloud access group setups. IBM Log Analysis with LogDNA was flexible and has wide support for various infrastructure implementations and is also controlled by the same IAM access setup. It can be configured for any IBM cloud services or platform logs or for infrastructure by installing the agent.

Incentivized

• Enable engineers to access logs quickly to distribute the workload.
• Provide a possible standard for log access between multiple services.
• Provide data metrics for customer use.

Incentivized

• Most of IBM cloud services support easier integration for log analysis.
• We are able to achieve compliance with various audit log reports, which improves governance and control over various cloud resources we have.
• Also IBM Log Analysis with LogDNA helps in troubleshooting and analysis for application logs in real time. This helps with improved issue resolution timings.

Incentivized