Cluster Orchestrator vs Karpenter
Compare Harness Cluster Orchestrator with AWS Karpenter and discover unique advantages
1. Spot Node Orchestration
Setup Complexity
Requires manual SQS Queue setup and maintenance
Works out-of-the-box with zero configuration
Interruption Handling
Basic SQS-based monitoring
Sophisticated interruption handling
Node Selection
Limited strategy options
Configurable strategies (cost-optimized, least-interrupted)
Fallback & Reverse Fallback
Basic fallback: moves pods to On-Demand once Spot is interrupted; no automatic return
Intelligent fallback automatically launches an On-Demand instance when Spot capacity gets unavailable. If market is unavailable, it creates an On Demand instance. And reverse fallback seamlessly moves workloads back to Spot when capacity is healthy.
2. Cost Visibility and Savings Analysis
Cost Savings Visibility
No visibility into cost savings achieved through Spot usage
Real-Time Savings Insights: Track actual cost savings from Spot node utilization
Cluster Cost Insights
Lacks insights into cluster cost optimization potential
Comprehensive Cost Analysis: Perspectives provide deep cluster cost visibility
3. Intelligent Bin Packing
Granular Thresholds
Fixed consolidation logic; cannot tune under-utilisation levels
Customisable CPU & Memory thresholds that drive extra bin-packing on top of Karpenter’s consolidation
Pod Evictions
Basic eviction
Evicts pods intelligently while honoring Pod Disruption Budgets
Resulting Utilisation
Moderate
Maximised node utilisation and lower waste
4. Dynamic Spot/On-Demand Split Configuration
Percentage-based Spot/On-Demand mix
Not available
Specify exact Spot vs On-Demand percentages via WorkloadDistributionRules
Base capacity safeguards
Not available
Ensure minimum On-Demand replicas for critical workloads
5. Commitment Utilization Guarantee
RI / Savings Plan awareness
Limited; manual tracking required
Fully integrated with Harness Commitment Orchestrator
Automatic node type selection
Not supported
Launches nodes that consume idle commitments first
Over-provisioning risk
High if data outdated
Minimized by commitment-aware scheduling
6. Replacement Windows
Time-window control for disruptive ops
Available (NodePool Disruption Budgets)
Replacement Windows let you pre-schedule disruptive operations such as Bin Packing, Harness pod eviction, consolidation, and reverse fallback so that they run outside critical business periods
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