sentry-kubernetes/charts
Charts
This project provides a collection of Helm charts designed for deploying and managing self-hosted error tracking and performance monitoring infrastructure within a Kubernetes cluster. It enables the deployment of complex, multi-service application stacks using standardized configuration templates to ensure consistent and repeatable infrastructure management.
The platform distinguishes itself by automating the operational requirements of distributed event processing, including the horizontal autoscaling of background task workers and the secure generation of cryptographic keys for internal service communication. It supports flexible data management by allowing users to provision local database instances or integrate with external managed databases, message brokers, and object storage backends.
The infrastructure includes comprehensive tooling for traffic management through ingress routing rules and persistent storage configuration to enable consistent data access across distributed worker services. These components collectively facilitate the deployment of a scalable observability environment capable of capturing diagnostic data and monitoring application health within a private cluster.
Features
- Error Tracking - Provides self-hosted infrastructure for capturing, monitoring, and analyzing application errors and performance data.
- Distributed Task Queues - Scales background task processing horizontally by distributing workloads across multiple worker services based on demand.
- Helm Chart Deployment - Provides Helm charts for deploying and scaling error tracking and performance monitoring services on Kubernetes.
- Kubernetes Application Deployments - Deploys complex, multi-service observability stacks onto Kubernetes using standardized configuration templates.
- Task Distribution Scaling - Supports horizontal autoscaling of background task workers to handle high-volume event and transaction queues.
- Distributed Task Queues - Distributes background workloads across independent worker services to process high volumes of event data asynchronously.
- Monitoring Infrastructure Automation - Automates the deployment, scaling, and lifecycle management of complex observability infrastructure within Kubernetes clusters.
- Data Persistence and Storage - Connects containerized applications to managed external databases and object storage for reliable, scalable data persistence.
- External Storage Integrations - Integrates with external managed PostgreSQL or ClickHouse instances to improve data storage scalability.
- Object Storage Integrations - Integrates with S3-compatible object storage backends for reliable persistence of raw event data and profiling files.
- Persistent Storage Management - Manages persistent storage volumes to ensure consistent data access across distributed worker and cron services.
- Container Orchestration Templates - Uses parameterized Helm templates to define and deploy complex, multi-service application stacks on Kubernetes.
- Kubernetes Deployments - Manages distributed event processing, database connectivity, and storage integration for application monitoring deployments.
- Shared Volume Mounting - Mounts shared persistent volumes across worker pods to enable consistent data access in distributed environments.
- Ingress-Based Routing - Configures ingress routing rules to direct external web traffic to the appropriate backend services within the cluster.
- Secret Orchestration - Automates the generation and management of cryptographic keys for secure inter-service communication within the cluster.
- Secrets Management - Automates the generation and management of cryptographic secrets to secure inter-service communication within the deployed stack.
- Service Communication Security - Secures internal service communication through automated secret management and encrypted transit channels.
- Cloud Native Observability - Facilitates cloud-native observability by routing event data through scalable workers and persistent storage backends.
