Elastic Helm Charts

Elastic Helm Charts
Name	Elastic Helm Charts
Type	Software package
Developer	Elastic NV
Initial release	2016
Repo	GitHub
License	Elastic License/SSPL

Elastic Helm Charts

Elastic Helm Charts are a collection of Kubernetes package manifests designed to deploy the Elastic Stack and related components using Helm. They enable declarative installation of Elasticsearch, Kibana, Beats, Logstash, APM Server, and associated operators in cloud and on-premises environments, integrating with CI/CD pipelines and infrastructure orchestration tools.

Introduction

Elastic Helm Charts package Helm charts for Elasticsearch, Kibana, Beats, Logstash, APM Server, Fleet Server, and Elastic Agent to simplify deployments across platforms like Amazon Web Services, Google Cloud Platform, Microsoft Azure, Red Hat OpenShift, and VMware vSphere. They are maintained alongside projects and organizations such as Elastic NV, GitHub, Helm (software), Cloud Native Computing Foundation, Kubernetes, and CNCF Landscape contributors. Enterprises including Netflix, Spotify, Uber Technologies, Airbnb, and Goldman Sachs often adopt these charts within infrastructures managed by teams using tools like Terraform, Ansible, Jenkins, GitLab CI/CD, and Argo CD.

Architecture and Components

The charts encapsulate components of the Elastic Stack: Elasticsearch, Kibana, Logstash, Beats (software), Elastic APM, and auxiliary roles such as ingest and coordinating nodes. Deployment patterns reference orchestration primitives from Kubernetes, such as Deployment (Kubernetes), StatefulSet, DaemonSet, ConfigMap, and Secret (Kubernetes), integrating with storage providers like Ceph, NetApp, Amazon EBS, and Google Persistent Disk. Networking and service discovery leverage controllers and proxies from Ingress (Kubernetes), NGINX, Envoy (software), and Istio, while observability aligns with projects like Prometheus, Grafana, Jaeger (software), and OpenTelemetry. Cluster lifecycle management may involve operators such as the Elastic Cloud on Kubernetes (ECK) operator alongside Helm-managed resources, interfacing with identity providers like Keycloak, Okta, and Azure Active Directory.

Installation and Configuration

Installation workflows use Helm (software) commands with repositories hosted on GitHub or registries integrated with Harbor (software), supported by CI systems including CircleCI, Travis CI, GitHub Actions, and Azure DevOps. Configuration commonly adapts values.yaml for parameters affecting resources, affinity rules, and tolerations to coordinate with schedulers on clusters registered via kubeadm, Rancher, Amazon EKS, Google Kubernetes Engine, or Azure Kubernetes Service. Secrets and credentials are managed with Vault (software), Sealed Secrets, and KMS (Key Management Service), with certificate automation using Cert-Manager and Let's Encrypt. Enterprises often integrate Helm deployments into release strategies influenced by patterns from GitOps, Blue–Green deployment, and Canary release methodologies championed by organizations like Google, Facebook, and Instagram.

Chart Development and Best Practices

Chart authors follow guidelines from Helm (software), Kubernetes SIGs, and community conventions exemplified by repositories on GitHub and guidance from Cloud Native Computing Foundation. Best practices include modular chart design, semantic versioning aligned with Semantic Versioning, strict linting using helm lint, and continuous testing via runners from Jenkins, GitLab CI/CD, and GitHub Actions. Templates leverage helpers and include idioms from projects like Prometheus Operator and Operator Framework to support lifecycle operations. Contributors adhere to licensing and contribution policies referenced by entities such as Elastic NV and review processes used in large projects like Linux Kernel and Kubernetes itself.

Use Cases and Deployments

Organizations deploy Elastic Helm Charts for log aggregation, metrics, security analytics, and APM in contexts including global platforms run by Twitter, LinkedIn, Spotify, and Snap Inc.. Use cases span centralized logging pipelines integrating Filebeat, Metricbeat, and Heartbeat (Elastic), SIEM solutions paired with Elastic Security, and observability stacks replacing or coexisting with Splunk, Datadog, New Relic, and Sumo Logic. Deployments appear in sectors served by NASA, European Space Agency, World Health Organization, JPMorgan Chase, and Bank of America where compliance and resilience requirements mandate integration with backup systems from Veeam and disaster recovery strategies used by IBM and Oracle.

Security and Compliance

Security practices combine Kubernetes-native controls such as Role-Based Access Control (RBAC) and Pod Security Policy with Elastic features like TLS encryption, role-based access, and auditing. Integrations with identity and access management include Okta, Azure Active Directory, and Ping Identity, while secret management uses HashiCorp Vault and cloud KMS offerings from AWS, Google, and Azure. Compliance programs map deployments to standards and audits from SOC 2, ISO/IEC 27001, PCI DSS, and GDPR requirements monitored by teams in organizations like Deloitte and PwC.

Performance and Scaling Strategies

Scaling Elastic clusters via Helm charts involves configuring StatefulSets, storage classes, and resource requests/limits to match workload patterns observed at companies like Netflix, eBay, Airbnb, Uber Technologies, and PayPal. Horizontal pod autoscaling and cluster autoscaling integrate with controllers developed in ecosystems represented by Kubernetes Autoscaler, Cluster API, and cloud autoscaling services like AWS Auto Scaling, Google Cloud Autoscaler, and Azure Scale Sets. Performance tuning references JVM tuning techniques used in projects like Apache Cassandra and Apache Kafka and monitoring approaches from Prometheus and Grafana to measure throughput, latency, and resource utilization under traffic from platforms such as YouTube, Reddit, and GitHub.

Category:Helm Charts