developmentContext + Kubernetes
Transform Kubernetes cluster intelligence into searchable operational knowledge with an enterprise-grade knowledge graph
OVERVIEW
Kubernetes is the container orchestration platform where engineering teams define how applications run at scale -- through Deployment manifests that encode scaling and availability requirements, ConfigMaps and Secrets that manage application configuration, RBAC policies that enforce access boundaries, and Custom Resource Definitions that extend the platform for domain-specific workloads. Over time, Kubernetes clusters accumulate critical institutional knowledge: why specific resource limits were chosen, how network policies evolved to meet zero-trust requirements, which Helm chart values were customized for different environments, and how ingress configurations map external traffic to internal services. But this knowledge is locked within cluster APIs and GitOps repositories, disconnected from the Jira tickets that drove architecture decisions, the Confluence runbooks that should reference specific configurations, and the Slack conversations where platform engineers discussed design trade-offs.
Context connects to your Kubernetes clusters and GitOps repositories to extract the organizational knowledge embedded in workload definitions, RBAC configurations, network policies, Helm chart values, and Custom Resource instances. Using permission-aware indexing that respects Kubernetes RBAC and namespace-level access controls, Context builds a knowledge graph that maps relationships between workloads, namespaces, services, teams, and the broader context from your entire tool stack.
Unlike cloud-based search tools that require cluster configuration data to leave your network, Context deploys entirely on your infrastructure -- on-premise, in your VPC, or in air-gapped environments. Your Kubernetes manifests, RBAC policies, and secret references never leave your control. For defense contractors operating mission-critical container platforms, aerospace companies running flight software validation clusters, and intelligence agencies managing classified workloads, Kubernetes configurations reveal sensitive details about application architecture, security boundaries, and operational capabilities. Context ensures this intelligence remains within your security boundary while making it searchable and actionable. Every answer is backed by citations to specific manifests, policies, or configurations, maintaining full traceability.
KEY CAPABILITIES
Key Capabilities
- 01Permission-aware indexing of Kubernetes manifests, RBAC policies, ConfigMaps, network policies, and Custom Resources that respects namespace and cluster-level access controls
- 02Workload architecture mapping that builds a searchable graph of Deployments, Services, Ingresses, and their dependencies across namespaces and clusters
- 03RBAC policy analysis that indexes role bindings, cluster roles, and service account configurations to make security posture searchable and auditable
- 04Configuration drift detection that compares GitOps repository definitions with live cluster state, identifying discrepancies and linking them to the change history
- 05Cross-tool correlation that links Kubernetes resources to the Helm charts that deploy them, the GitHub repositories that define them, the CI/CD pipelines that apply them, and the Jira tickets that drove changes
- 06Namespace and multi-cluster knowledge mapping that maintains access boundaries while enabling organization-wide search across cluster environments
USE CASES
Use Cases
Platform Security and Compliance Auditing
Security teams need visibility into RBAC configurations, network policies, pod security standards, and secret management across clusters. Context indexes all Kubernetes security-relevant resources, enabling queries like "which namespaces allow privileged containers?" or "what service accounts have cluster-admin bindings?" Answers reference specific manifests, the teams responsible, the Jira security tickets tracking remediation, and the Confluence compliance documents that define organizational standards.
Incident Response and Cluster Troubleshooting
When a production incident involves Kubernetes workloads, engineers need to quickly understand the deployment topology, resource configurations, and recent changes. Context surfaces the relevant Deployment manifests, ConfigMap values, recent Helm release history, and network policy configurations -- all linked to the PagerDuty alerts, Slack war room conversations, and Jira incident tickets. Engineers can ask "what changed in the payments namespace in the last 24 hours?" and get citation-backed answers spanning both cluster state and organizational context.
Multi-Cluster Governance and Standardization
Organizations running multiple Kubernetes clusters across environments need to enforce consistent configurations and identify policy violations. Context maps resources across clusters into a unified knowledge graph, enabling queries like "which clusters are not running the latest istio sidecar version?" or "what ingress configurations differ between staging and production?" Results link to specific manifests, the teams that own them, and the Confluence platform standards that define expected configurations.
Developer Self-Service and Platform Onboarding
Application developers deploying to Kubernetes need to understand platform conventions, available resources, and configuration patterns without constantly escalating to platform teams. Context enables developers to search across Kubernetes configurations, Helm chart documentation, and platform team Confluence guides in one query, finding answers to "how do I configure persistent storage for my service?" or "what resource limits should I set for a Java application?" with citations to both live cluster examples and official documentation.
HOW IT WORKS
How It Works
DATA FLOW
SECURITY & COMPLIANCE
Security & Compliance
SOC 2 Type II
GDPR
HIPAA
ISO 27001DEPLOYMENT
Deployment Options
DEPLOYMENT ARCHITECTURE
FREQUENTLY ASKED QUESTIONS
Frequently Asked Questions
How does Context connect to Kubernetes clusters?
Context integrates with Kubernetes clusters using a dedicated service account with a read-only ClusterRole, connecting through the Kubernetes API server. It supports any conformant Kubernetes distribution including EKS, AKS, GKE, OpenShift, Rancher, and bare-metal clusters. The connection is read-only -- Context never creates, modifies, or deletes cluster resources. All indexing and processing happens on your infrastructure, whether deployed on-premise, in your VPC, or in an air-gapped environment.
Does Context access Kubernetes Secrets?
Context indexes Secret metadata -- names, namespaces, labels, annotations, and types -- but does not index Secret data values. This approach makes secret management patterns searchable (such as which services reference which secrets) without exposing sensitive credential material. References to secrets in Deployment environment variable configurations and volume mounts are indexed to maintain the knowledge graph's completeness.
Can Context work with Kubernetes in classified or air-gapped environments?
Yes. Context deploys entirely on your infrastructure with no external data processing dependencies. For organizations operating under ITAR, FedRAMP, CMMC, or IL-4/IL-5 requirements, Context ensures that indexed Kubernetes knowledge artifacts never leave your controlled environment. The on-premise deployment model is designed for defense contractors and intelligence agencies running classified container platforms in fully disconnected networks.
How does Context handle multi-cluster and multi-tenant environments?
Context supports indexing across multiple Kubernetes clusters while maintaining strict access boundaries. Users only see search results from clusters and namespaces they have RBAC permissions to access. For multi-tenant clusters using namespace isolation, Context respects namespace-level role bindings. This is critical for organizations operating separate clusters for different classification levels, programs, or business units.
Does Context support Custom Resource Definitions?
Yes. Context indexes Custom Resource instances alongside built-in Kubernetes resources. Whether your organization uses Istio VirtualServices, Argo Workflows, Crossplane claims, or domain-specific CRDs, Context extracts knowledge from their specifications and status fields. This is particularly valuable for platform teams that have extended Kubernetes with custom abstractions -- the knowledge encoded in CRDs becomes searchable alongside all other organizational context.
How does Context integrate with GitOps workflows?
Context connects to both live Kubernetes clusters and the GitOps repositories (managed through Flux, Argo CD, or similar tools) that define desired cluster state. This dual-source approach enables Context to surface the full history of configuration changes, link manifest modifications to the pull requests and Jira tickets that drove them, and identify drift between intended and actual cluster state -- providing a complete operational knowledge graph.
SETUP OVERVIEW
Setup Overview
Connecting Kubernetes to Context requires cluster administrator access and typically takes around 25 minutes. The process involves creating a dedicated service account with a read-only ClusterRole, configuring which namespaces and resource types to index, and mapping Kubernetes RBAC to Context access controls. For GitOps-driven clusters, Context also connects to your manifest repositories for full change history. Context handles the rest -- indexing begins automatically and the knowledge graph starts building within minutes. No changes to your cluster configurations or deployment workflows are required.
RELATED INTEGRATIONS
Related Integrations
Docker
Connect Context to Docker to extract operational knowledge from container configurations, Dockerfiles, and registry metadata. On-premise deployment with permission-aware indexing.
GitHub
Connect GitHub to Context and transform code reviews, issues, and pull requests into searchable enterprise knowledge. Works with GitHub Enterprise Cloud and GitHub Enterprise Server.
Datadog
Connect Context to Datadog to extract operational knowledge from monitors, dashboards, and incident investigations. On-premise deployment with permission-aware indexing.
PagerDuty
Connect Context to PagerDuty to extract incident response knowledge from alerts, escalation policies, and post-incident reviews. On-premise deployment with permission-aware indexing.
Jira
Connect Context to Jira to transform tickets, epics, and project history into connected organizational knowledge. Permission-aware indexing with on-premise deployment.
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