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Customer support reps don’t need to learn a proprietary query language to gain value from Loggly. They can type in simple search terms and see answers.
Or, create saved searches that identify commonly encountered issues so support reps get answers in one click.
Loggly Dynamic Field ExplorerTM is like a map of your data, showing both the most common events and the anomalies. Using point and click, a support rep can quickly isolate specific information, for example based on request ID or transaction ID.
Customer support reps can file tickets in Atlassian Jira or GitHub right within the log view. Ticket templates ensure that they provide all relevant information and include pre-populated fields. Reps can automatically incorporate the log view they are looking at so that developers get a headstart on issues that get escalated.
Loggly has transformed our processes and helped us be much more effective in working with our customers.
Chelsea Stroh Head of Customer Happiness, Recruiterbox
View app performance, system behavior, and unusual activity across the stack. Monitor key resources and metrics and eliminate issues before they affect users.
Trace issues down to their root cause. See how components interact across your stack, identify correlations, view source code, and share findings with your team.
Work better as a team using data and analysis with DevOps tools. Loggly integrates with Slack, GitHub, Jira, PagerDuty, Microsoft Teams, custom webhooks and more.
Multi-tenant SaaS provides scalability, flexibility, and availability to meet the highest standards with low TCO.
Real-time access to logs is a very valuable tool for teams supporting software applications and transactional websites. Learn more about how Loggly’s ease of use gives customer support reps a practical way to close more issues and escalate faster.
