Service Mapping for containerized environments using KVA
Summarize
Summary of Service Mapping for Containerized Environments Using KVA
Service Mapping, in conjunction with the Kubernetes Visibility Agent (KVA), enables automated discovery and visualization of application dependencies within Kubernetes clusters. This integration provides a complete view of containerized environments, allowing for the mapping of services across various infrastructure components, including cloud databases and traditional servers.
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Key Features
- Seamless Entry Point Discovery: Initiate mapping from any application endpoint, with KVA recognizing various Kubernetes exposure methods like load balancers and ingress controllers.
- Complete Kubernetes Topology Mapping: Visualize traffic flows between Kubernetes pods and manage workloads including deployments and jobs, offering flexibility in analysis.
- External Dependency Tracking: Automatically detect connections from Kubernetes pods to external resources such as cloud databases, enhancing dependency mapping beyond cluster boundaries.
- Bidirectional Discovery: Service maps function regardless of whether the entry point leads directly to Kubernetes resources or external components, ensuring extensive visibility.
Key Outcomes
- Accelerated Incident Resolution: Quickly identify root causes of incidents through visibility into all dependencies across infrastructure.
- Change Impact Analysis: Visualize dependencies before making changes to understand potential impacts and plan maintenance effectively.
- Application Rationalization: Gain visibility into services supporting critical applications, enabling informed decision-making and resource allocation.
- Enhanced Operational Efficiency: Automate discovery processes to reduce manual documentation efforts and improve accuracy.
- Simplified Compliance: Automated documentation of service dependencies aids in compliance and audit processes.
Getting Started
To begin utilizing Service Mapping for Kubernetes, install the latest version of KVA and ensure that all Service Mapping requirements are met. Start by entering an application entry point into Service Mapping, allowing KVA to initiate topology discovery.
Kubernetes Visibility Agent (KVA) and Service Mapping discover and visualize application dependencies across Kubernetes clusters and related resources, providing complete visibility into containerized environments.
Service Mapping for containerized environments provides automated discovery and visualization of application dependencies across your entire technology stack. Whether your applications run entirely within Kubernetes clusters or span multiple environments including cloud databases, API gateways, and traditional servers, Service Mapping creates comprehensive topology maps that show how services connect and depend on each other.
Service Mapping and KVA combined capabilities transform complex architectures into clear, actionable service maps that help teams troubleshoot faster, assess change impact more accurately, and optimize application performance across environments.
Key capabilities
- Seamless entry point discovery and mapping
- Start with any application endpoint such as a URL or hostname and port, and Service Mapping automatically identifies the corresponding Kubernetes resource serving that endpoint. KVA recognizes multiple Kubernetes exposure methods including load balancers, ingress controllers, NodePort services, Gateway API resources, and OpenShift routes.
- Complete Kubernetes topology-mapping
- Discover and visualize traffic flows between pods within your Kubernetes clusters. Service maps display workloads including deployments, stateful sets, daemon sets, jobs, and cron jobs. You can choose to view either workloads or Kubernetes services on your maps, providing flexibility in how you analyze your container infrastructure.
- External dependency tracking
- Automatically detect connections from Kubernetes pods to external resources including cloud databases, third-party APIs, and traditional infrastructure. KVA resolves DNS connections and Kubernetes ExternalName services to be able to map dependencies beyond cluster boundaries.
- Bidirectional discovery
- Service maps work regardless of whether your entry point leads directly to a Kubernetes resource or to an external component with downstream connections into clusters. This flexibility promotes comprehensive visibility across any architecture.
Use Cases
- Accelerated incident resolution
- When incidents occur, Service Mapping provides immediate visibility into all dependencies, helping teams quickly identify root causes and understand the impact across Kubernetes and traditional infrastructure.
- Change impact analysis
- Before changing Kubernetes deployments, APIs, or infrastructure components, visualize all upstream and downstream dependencies to understand potential impacts and plan maintenance accordingly.
- Application rationalization
- Gain complete visibility into which services support critical business applications, enabling data-driven decisions, resource allocation, and technical debt reduction.
Benefits
- Reduced mean time to resolution through comprehensive visibility into service architectures
- Minimized risk from changes by reviewing dependencies before modifying Kubernetes or infrastructure components
- Improved operational efficiency by automating discovery instead of manually documenting complex service relationships
- Better decision-making through accurate, up-to-date topology information that reflects actual application behavior
- Simplified compliance and audit processes with automated documentation of service dependencies and data flows
Getting Started
Create hybrid application service maps
Enter an application entry point into Service Mapping. KVA automatically identifies whether this entry point connects to Kubernetes resources and initiates comprehensive topology discovery.