Performance | Hokstad Consulting

Performance

Blog posts in the Performance category

Supervisor-Led Agent Teams: Cost and Latency Trade-Offs

Measure £/successful answer and P50/P95 usable-answer time to decide when supervisor-led agent teams justify extra cost and delay.

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LLM Rate Limits: Retry-After Headers and Backoff

Treat Retry-After as a minimum and avoid retry storms: use capped exponential backoff with jitter, idempotency and bounded queues.

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LLM SDK Upgrades: Breaking Change Checklist

Six-step checklist for LLM SDK upgrades: map breaking changes to apps and owners, validate requests/responses; rehearse rollout and rollback.

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AI Agent Backpressure: How Queue Limits Control Load

Use bounded queues, single deadlines and priority-based shedding to control AI agent load and protect latency under bursts.

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Conditional Parallel Tool Execution: Agent Pattern

Run independent tool calls concurrently with permission checks, timeouts and safe retries to cut latency while preserving state.

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RAG Context Compression: Token Savings vs Lost Detail

Compare extractive trimming and generated summaries in RAG pipelines, balancing token cost, latency and evidence fidelity.

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How to Detect RAG Index Drift After Document Changes

Compare source snapshots with the published index, validate chunk and embedding hashes, run retrieval tests, and republish fixes to stop RAG drift.

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AI Agent Costs: Why Cost per Successful Task Matters

Measure AI agent cost as total delivery spend / accepted tasks — include retries, tools and human review to reveal true per-task cost.

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ConfigMap Changes and Rolling Updates

Why ConfigMap edits don't restart Pods, how mounts and env vars behave, and when to use restarts, checksums, or reloaders.

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CI/CD Pipeline Architecture for High-Throughput Teams

Measure end-to-end flow, model pipelines as DAGs, split runner pools and scale from queue signals to improve CI/CD throughput.

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Event-Driven Orchestration for AI Agents

Route AI agent tasks by risk with event-driven orchestration: stateful workflows, approval gates, retries and observability.

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About IBM Cloud Global Load Balancers

DNS-based global load balancers prevent regional outages, reduce latency and unify multi-region services under one hostname.

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