Best Practices for Container Lifecycle Management
Container Management technology has enabled Big Data Pipelines implementation. Serverless Frameworks involving Kubeless and OpenFaas are excellent serverless solutions for easy build and deployment supporting auto-scaling and event trigger.
K8 has functionality for pluggable for network architectures and Persistent Volumes Storage feature.It includes Kubernetes on Spark and Kubernetes on HDFS.
Requiring full cluster lifecycle management, management of storage and networking resources, integration with existing enterprise services, support for on -premises, public, private and hybrid Cloud environments.
Conforming to existing enterprise security policies. It builds Container Orchestration layer to schedule and deploy distributed applications using Docker containers.
Offering a wide array of purpose-built features and capabilities for Big Data applications including lifecycle management, multi-tenancy with secure network isolation, support for Kerberos and encrypted HDFS, IOBoost technology for performance optimization, DataTap functionality for compute / storage separation etc.