Application Observability | Resource Center

In this program, experts from Sumo Logic will demonstrate how to leverage logs for troubleshooting your AWS environment. The presentation will include several troubleshooting scenarios involving AWS services like AWS Lambda, Amazon DynamoDB and Amazon Elastic Load Balancer.

Whenever an outage or incident happens, we typically see a spike in errors or warnings. Effective troubleshooting meant having to parse to that log level by creating field exception rules (FERs) or parse operators. It's a process that is inefficient and delays getting to the root cause.

In today’s highly federated and cloud-native world of distributed computing environments, it is essential for organizations to have visibility into their applications with a unified collection model. OpenTelemetry has emerged as the de facto standard for collecting logs, metrics, trace, and event (MELTs) data.

Log management and analytics are typically used to troubleshoot and resolve system issues. But since log data is collected from so many tools and systems across the organization, this means that log analytics can span across the business for multiple uses and multiple teams.

For many organizations, AWS is central to their ability to compete effectively in today’s digital world. Ensuring the reliability of the applications that power their business can be an important competitive differentiator that requires a robust observability strategy.

Organizations today rely on key applications running on complex multi-cloud environments to transact business and work. A sound log management practice with insightful analytics not only helps ensure those applications are reliable and secure, but it can reduce the “cognitive load” put on engineers by empowering them with efficient troubleshooting in order to resolve and rescue MTTR.

Learn how MoneyTree uses AWS and Sumo Logic to help financial institutions better connect with consumers through real-time machine data analytics for operational and security insights.

ULTA Beauty gets a Cloud Makeover

Modern businesses generate petabytes of machine data in the form of logs and events, which emanate from every part of the technology stack.