Application Performance Management

Cloud Native Application Performance Management weaves together Network monitoring and configuration data by integrating Data from logs, metrics, flows and traces with change data from events, configurations and CI/CD platforms in a singular view.

Application Monitoring across Layers

  • Zero-touch configuration and automatic discovery and monitoring of microservice workloads on Kubernetes and associated cloud services
  • Seamlessly visualize across the Application Layer, Kubernetes Layer and the Infrastructure Layer to clearly identify the potential root cause of any outlier identified in the Network.
  • Unique Infra Topology enables to identify and stitch the Connectivity across the Infra Layer of the Network along with the Application-Level Interfaces.
  • Correlation of Performance Metrics and Configuration Data allows to identify the Network to Application Mapping.

Autonomous & Dynamic Application Performance Assurance

  • Actionable Insights providing automated granular visibility into where and why performance problems are occurring, enabling direct pinpoint intervention.
  • Prescriptive Tuning for restoring application service levels with automation, assisting the decision and control process.
  • APM Platform consumes existing monitoring, event and configuration data to automatically build a real-time application-wide model using a unique application-centric approach.
  • Models built using curated application knowledge augmented leveraging diverse machine learning techniques.
  • Providing deep granular understanding of the application behavior of all underlying components and their interdependencies across the application and down to the infrastructure level.

Observability and Tracing

  • APM leverages Zipkin for Observability and visibility into the Microservices running in the System.
  • Aids in gathering the timing data needed to troubleshoot latency problems in Service Architectures.
  • Capable of handling both the Collection and Lookup of the Data Metrics.
  • Aids in identifying aggregate behavior including error paths or calls to deprecated services.