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Browse technologies in Orchestration

Apache AirflowOrchestrates batch data and ML workflows with dependency control, scheduling, and observabilityArgo WorkflowsOrchestrates Kubernetes-native workflows to automate multi-step pipelines with reliable retries and executionAWS ECSOrchestrates containers on AWS to streamline deployment, scaling, and day-2 operationsAWS EKSRuns managed Kubernetes clusters on AWS to improve reliability, security, and scalabilityAzure Kubernetes Service (AKS)Automates container orchestration on Azure, scaling workloads and simplifying day-2 cluster operationsFlyteOrchestrates Kubernetes data and ML pipelines for more reliable, reproducible, and observable operationsGCP CloudRunRuns serverless containers with autoscaling to reduce operations overhead and control costsGCP GKEManages GKE clusters on Google Cloud for scalable, secure container operationsHashiCorp NomadSchedules containerized and legacy workloads across clusters for efficient, automated resource utilizationHelmAutomates Kubernetes application releases with versioned Helm charts, reducing deployment toilKarpenterAutomates Kubernetes node provisioning and scaling to optimize utilization and reduce costsKEDAScales Kubernetes workloads automatically from events and metricsKubernetesOrchestrates containers across clusters to automate deployments, enforce policy, and improve uptimeKustomizeCustomizes Kubernetes manifests with overlays to standardize deployments across environments and teamsKyvernoEnforces Kubernetes policies as code to prevent misconfigurations and strengthen complianceNVIDIA GPU OperatorAutomates NVIDIA GPU software stack installation and lifecycle management on KubernetesOpenShiftStandardizes Kubernetes deployments across hybrid environments with consistent security and operationsRancherProvides Kubernetes cluster management with centralized policy, access control, and multi-cluster operationsSlurmSchedules and manages batch jobs across Linux clusters for high performance computing teams
Useful info

A bit about Orchestration

Things you need to know about Orchestration before choosing a consulting partner.

01

What is Orchestration?

Orchestration systems decide where and when workloads run on a cluster of machines (physical or virtual).
On top of that, orchestration systems usually help manage the lifecycle of the workloads running on them. Nowadays, these systems are usually used to orchestrate containers, with the most popular one being Kubernetes.

02

Why use Orchestration?

There are many advantages to using Orchestration tools:

  • Improve the utilization of CPU, memory, and storage usage by running many processes on a single machine
  • Manage the entire lifecycle of the orchestrated workloads: pre & post initialization & termination
  • Control the scale of workloads and the scale of their underlying infrastructure separately
  • Centralized management of workloads and infrastructure