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Distributed cloud applications can span multiple platforms, containers, hosts, services, and plugins, which complicates monitoring
It’s easy to miss performance trends when jumping between platform and resource-specific monitoring tools
Interdependent services, multiple app stacks, and volumes of data slow down troubleshooting
Simple to use even if you don’t have intimate knowledge of the application code. Automated views and color-coded heatmaps, trace-level summaries, and application service maps allow you to visualize performance, map dependencies, and identify bottlenecks.
• Up and running typically in minutes, easy to set up and use with a minimal learning curve for IT professionals
• Broad language support with out-of-the-box application metrics, dashboards, and auto-instrumented tracing
• Simple, auto-instrumented application service maps and unique service- and trace-level root cause summaries pinpoint performance issues for you
Unified dashboards, alerting, and management combine to provide complete visibility. SolarWinds AppOptics™ removes the wall between infrastructure and application metrics, enabling integrated dashboards and application performance alerting
• Complete visibility into the health and performance of applications and their underlying infrastructure
• Proactively monitor performance against metrics and thresholds and alert on performance or health abnormalities
• Visualize the impact host and container resources and availability are having on your application performance with combined dashboards
• Communicate and collaborate across the team with shared dashboards and reports
Reduce mean time to resolution (MTTR) by combining metrics, traces, and logs for complete observability across platforms, hosts, resources, containers, applications, and services to quickly identify and resolve performance issues.
• Learn what the issue is from metrics and traces and why it occurred from logs
• Drill down into the log lines associated with a specific trace in one click
• Quickly jump from an alert or metric into the relevant logs to spot issues
• Validate root cause assessment with logs