Automated Deployment and Rollback of Microservices
Manage complex microservice applications with automated deployment and rollback capabilities.
Kubernetes
Open-source container orchestration platform for automating deployment, scaling, and management of containerized applications
By Cloud Native Computing Foundation
Container Orchestration
Containers
Orchestration
Microservices
Product Overview
Kubernetes is a leading open-source platform designed to automate the deployment, scaling, and operations of application containers across clusters of hosts. It provides a robust framework to run distributed systems resiliently, with scaling and failover mechanisms built in along with deployment patterns.
Kubernetes enables organizations to efficiently manage containerized applications in production environments on various infrastructures including on-premises, cloud, and hybrid deployments. It integrates a rich ecosystem of tools and APIs to provide automated rollouts, service discovery, self-healing, and load balancing. Kubernetes supports a wide variety of workloads and provides extensible control options, making it a foundational technology for cloud-native computing and DevOps practices.
Headquarters and Est. In
San Francisco, United States — Est. 2014
No. of Employees
Not specified
Customer Demography
Global
Customer Domains
Technology
Financial Services
Healthcare
Retail
Telecommunications
Use Case Deep Dive
Interactive analysis dashboard - explore detailed performance insights for key business scenarios
Scaling Applications Based on Demand
Automatically scale containerized applications horizontally to respond to changes in user traffic.
Securing Multi-Tenant Clusters
Isolate and secure multiple teams or projects within a shared Kubernetes cluster.
Running Stateful Applications with Persistent Storage
Deploy and manage databases or stateful applications that require persistent data storage.
Implementing Continuous Monitoring and Alerting
Establish automated observation and alerting for cluster and application health.
Implementing Secure Configuration and Secret Management
Manage sensitive configuration data and secrets securely at scale.
Batch Job Automation and Scheduling
Run and manage batch or scheduled jobs reliably within Kubernetes.
Multi-Cloud Deployment Strategy
Manage application deployments across multiple cloud and on-premise environments.
Application Networking and Service Mesh Deployment
Enhance application networking capabilities with advanced routing, observability, and security.
Cluster Resource Management and Optimization
Efficiently allocate and manage cluster compute resources among multiple workloads.
Use Case Details
Integration Details
Feature Details
Key Features
Explore the core capabilities that make Kubernetes stand out.
Automated Container Deployment
Automate the deployment of containerized applications across a cluster.
Self-Healing
Automatically replace or reschedule containers that fail or become unresponsive.
Horizontal Scaling
Automatically scale applications in or out based on load.
Service Discovery and Load Balancing
Automatically expose containers using DNS names or IP addresses and distribute network traffic.
Automated Rollouts and Rollbacks
Manage application updates with controlled rollouts and option to rollback if necessary.
Configuration Management
Manage application configuration and secrets securely.
Persistent Storage Management
Attach persistent storage to containers for stateful workloads.
Role-Based Access Control (RBAC)
Control user and service permissions securely within clusters.
Namespace Isolation
Segment cluster resources and users for multi-tenancy.
Extensible API and Custom Resources
Extend Kubernetes capabilities with custom APIs and resource definitions.
Batch Execution
Run batch jobs and scheduled tasks in containers.
Health Checks and Probes
Monitor container health with readiness and liveness probes.
Declarative Infrastructure as Code
Use YAML or JSON files to declaratively define Kubernetes resources.
Network Policies
Control traffic flow between pods for security and segmentation.
Service Mesh Integration
Integrate with service meshes for advanced networking capabilities.
Multi-Cloud and Hybrid Cloud Support
Run Kubernetes clusters across multiple cloud providers and on-premises environments.
CLI and Dashboard Management
Manage clusters and resources through kubectl CLI and web dashboards.
Logging and Monitoring Integration
Integrate with logging and monitoring tools to observe cluster health and performance.
Secret and Certificate Management
Manage sensitive data and TLS certificates securely.
Pod Affinity and Anti-Affinity
Control pod placement policies for fault tolerance and performance.
Resource Quotas and Limits
Define resource usage constraints per namespace to prevent overconsumption.
Built-in DNS Management
Provide internal DNS for service discovery within the cluster.
Immutable Container Support
Ensure containers are deployed as immutable artifacts promoting consistency.
Multi-Tenant Cluster Management
Support multiple teams or projects securely within one cluster.
Contextual Integrations
Not just "integrates with" – here's the specific value each integration delivers:
Prometheus
Delivers: Open-source monitoring and alerting toolkit.
Grafana
Delivers: Open-source visualization and analytics platform.
Helm
Delivers: Package manager for Kubernetes applications.
Istio
Delivers: Open platform for service mesh networking.
Kubectl
Delivers: Command-line interface for Kubernetes.
Docker
Delivers: Container platform and runtime.
Resources
Latest insights, guides, and templates to accelerate your decisions.
Downloads
Downloads coming soon
Resources and templates will be available soon
Case Studies
Case Study: Shopify and Kubernetes
Case Study: CERN and Kubernetes
Platform Updates
Kubernetes Release Notes
Videos
Watch Kubernetes in action.
Kubernetes Basics
Kubernetes for Beginners
Pricing & Plans
Open Source
Free
Managed Kubernetes Services
Varies by provider
Frequently Asked Questions
Common questions about Kubernetes:
Kubernetes is used for automating deployment, scaling, and management of containerized applications in clusters of hosts, simplifying complex container orchestration.
Kubernetes is an open-source project and free to use. However, managed Kubernetes services by cloud providers incur costs.
Yes, Kubernetes is cloud-agnostic and can run on public clouds, private data centers, or hybrid environments.
Knowledge of containerization, Linux, networking, and DevOps best practices are important to effectively manage Kubernetes.
Kubernetes uses self-healing, automated restarts, replication, and load balancing to ensure high availability of applications.
Implementation Partners
Partners listed for Kubernetes and trusted teams available for implementation support.
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