Serverless Monitoring
Detect and fix issues before they impact users. Get complete visibility into serverless application performance with visualizations, monitoring and troubleshooting in real-time. Additionally, capture custom metrics to track and correlate serverless performance data with business KPIs.
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Deliver a seamless user experience with complete serverless monitoring
Optimize Function Performance
Monitor serverless "cold starts" that add to the latency of function execution.
Understand Cost Implications
Understand the function duration and resource consumption with accuracy. Optimize your spend on serverless execution.
Leverage pre-built visualizations of key performance metrics of all serverless functions. Quickly search, filter and sort for drill downs into functions with errors, high latency or cold starts. You can also tag and group functions based on usage, location, account, runtime, resources and other dimensions.
Gain complete visibility into your microservices spanning across serverless functions, and containerized or VM-based applications. Understand upstream and downstream dependencies using auto-built service maps. Additionally, monitor latency of calls made by serverless functions to databases or APIs.
Use Splunk function wrappers to ingest performance metrics with up to one-second resolution. Function wrappers are available for all major runtimes — Java, Golang, Python, Ruby, C# and Node. Further, seamlessly collect custom metrics to analyze business data and KPIs and get alerted within seconds on any performance anomaly.
Get deeper insights into cold starts, concurrency, throttles and spillovers to manage under provisioned functions. Create alerts on memory, duration, timeouts and provisioned concurrency metrics to deliver flawless customer experiences.
