SolarWinds Integrates AppOptics with Loggly and Papertrail

SolarWinds, a provider of IT management software, is integrating AppOptics, the company’s SaaS-based application performance monitoring solution, with its Loggly and Papertrail cloud-hosted log monitoring and log analytics solutions.

AppOptics together with Loggly and Papertrail now combine application performance management (APM), distributed tracing, and log management to help technology professionals identify performance and availability issues before they affect users, pinpoint the root cause, and reduce mean time to repair (MTTR).

Enabled by a shared agent across AppOptics, Loggly, and Papertrail, the new integration helps users avoid the manual, time-intensive work of reviewing countless logs, finding errors, and sorting through to guess the root cause.

From automating application instrumentation to tracing requests from end to end and inserting a shared trace ID into the logs, these products come together to enable immediate identification of the precise logs involved.

“Troubleshooting is a massive pain point in application performance management, especially when you add a high volume of distributed apps to the mix. There are thousands of requests a minute and log lines so close together, it’s incredibly time consuming to pinpoint the source of an issue,” said Denny LeCompte, general manager, application management, SolarWinds. “By integrating AppOptics with Loggly and Papertrail, we help to eliminate the guessing game from the process.”

From the trace view in AppOptics, users click “search logs” and jump into Loggly or Papertrail to find directly related logs and messages pertaining to the trace ID immediately available.

Working from Loggly or Papertrail, the trace ID from AppOptics is automatically inserted in the exception log line. With the trace ID in the log line, the Loggly or Papertrail user can find all the relevant logs and identify the issue.

The integrated SolarWinds APM products are designed to help tech pros managing applications, whether they’re application operations engineers responding to alerts and resolving them quickly, developers debugging application issues using logs, or DevOps teams identifying errors while building solutions. 

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