Slack AI: The Path to Multi-Cloud | Endigest
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Slack evolved from AWS SageMaker to a multi-cloud LLM infrastructure over three years.
- •SageMaker provided enterprise security and FedRamp compliance but faced scaling latency, GPU scarcity, and over-provisioning costs
- •Migrated to Amazon Bedrock for operational simplicity and immediate access to latest models with Provisioned Throughput and On-Demand options
- •Hybrid routing strategy keeps latency-sensitive features on dedicated capacity while moving bursty workloads to On-Demand infrastructure
- •Spillover Pattern automatically directs excess requests to on-demand endpoints during peak usage to prevent capacity drops
- •Achieved zero-incident migration through compliance verification, extensive load testing, A/B testing, and gradual traffic shifts
This summary was automatically generated by AI based on the original article and may not be fully accurate.