Application Observability
Leverage best-in-class application performance monitoring (APM) to ensure optimal service performance and SLOs, innovate faster, collaborate more efficiently, and deliver more with less.
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Prevent, optimize, and resolve application issues
Automate observability for cloud native workloads and microservices
Achieve SLOs at scale, prevent downtime, and reduce MTTR with:
- Continuous topology discovery
- Baselining of response time and error rates for serverless functions, cloud native container services and K8s workloads at scale
- Monitoring of application health, availability and security vulnerabilities with support for OpenTelemetry
Improve developer productivity
Identify the source of problems with seamless signal integration
Understand details in context across a unified dataset with:
- Enterprise-scale end to end tracing
- Powerful response time and error analysis
- Logs in the context of traces
- OpenTelemetry analytics powered by Grail
Optimize application efficiency with code level profiling
Reduce end user latency, sync, and locking issues with:
- Continuous production profiling with thread analysis
- Visibility into I/O bottlenecks down to method name
- Code level CPU profiling down to a single method
- Memory and allocation analysis to fix memory leaks and speed up code
Kubernetes Security Posture Management (KSPM)
- Simplify compliance monitoring with pre-built policies for CIS, DORA, DISA STIG, and more, saving time and reducing complexity.
- Enable seamless collaboration between SecOps, SREs, platform engineers, and compliance teams to quickly resolve issues and strengthen security posture.
- Accelerate audit-readiness through automated prioritization, reducing manual effort and generating clear compliance posture reports with ease.