Serverless Monitoring Tools

Gain full visibility into your serverless architecture and troubleshoot Lambda performance issues quickly with end-to-end distributed tracing, metrics, and logs in a single pane.

Provides automated distributed tracing across complex serverless environments, offering a single pane of glass for services and infrastructure components with zero-code instrumentation.

Lets developers effortlessly find and fix issues in serverless and containerized environments with visual execution maps, payload inspection, and one-click root-cause analysis.

Facilitates real-time observability into AWS Lambda functions by tracking health, performance, and log information — with configurable alerts and detailed function-level insights.

Native AWS observability for resources and applications on AWS and on-premises — providing metrics, logs, traces, and dashboards for Lambda, ECS, EKS, and the broader AWS ecosystem.

A novel observability platform for complex and hyper-scaled serverless workloads — offering failure alerting, cold-start analysis, and cost tracking without requiring code changes.

A cloud-based platform that applies AI-driven intelligence to serverless monitoring — correlating telemetry from functions, containers, and services for proactive issue detection.

Monitor serverless workloads with automated instrumentation to efficiently troubleshoot and debug — featuring distributed tracing, profiling, and real-time alerts for AWS Lambda.

Detect and fix issues before they impact users — get complete visibility into serverless application performance with Splunk's AI-powered analytics and real-time alerting pipeline.

SDK configured at the code level that runs within serverless functions — enabling live data collection and on-demand debugging without redeployment or performance overhead.

Monitor and troubleshoot AWS Lambda functions to reduce infrastructure management complexity — with full-stack correlation from end-user experience to the function execution level.

Optimize application performance with AWS Lambda observability powered by AI and automation — automatically discovering dependencies and providing root-cause analysis with Davis AI.