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19 resultsWhich LLMs and models do you work with?
We are model-agnostic and select based on your requirements.
Applied AI & ML — Service Overview
Everything included in our Applied AI engagements: RAG, agents, fine-tuning, evals, and guardrails.
Multi-Tenancy Patterns — Database-per-Tenant, Schema-per-Tenant, and Row-Level
Tradeoffs for SaaS data isolation, compliance, and operational complexity.
Choosing a vector database: pgvector vs Pinecone vs Weaviate
A practical comparison across dimensions that matter for production RAG systems.
Redis Caching Patterns for Production Applications
Cache-aside, write-through, TTL strategy, and cache invalidation approaches.
Database Connection Pooling — Why It Matters and How to Configure It
Pool sizing, connection lifetime, and debugging pool exhaustion.
Serverless Architecture — When Functions Work and When They Don't
Cold starts, event-driven patterns, cost model, and the right use cases.
Data Lake vs Data Warehouse vs Lakehouse
Practical comparison of the three architectures and how to choose.
Snowflake Best Practices for Cost and Performance
Virtual warehouses, clustering, query optimization, and controlling spend.
Diagnosing a Dead or Failing Motherboard
How to rule out other components before concluding the motherboard is at fault.
Elasticsearch Indexing Strategy and Performance
Mapping, sharding, bulk indexing, and query optimization for Elasticsearch.
Trino (formerly PrestoSQL) — Federated SQL Across Data Sources
Architecture, connectors, query federation, and performance tuning.
Service Mesh — Istio and Linkerd for Microservices
mTLS, traffic management, observability, and the operational cost of a service mesh.
Batch vs Streaming Pipelines — Choosing the Right Pattern
Lambda architecture, Kappa architecture, and practical guidance for choosing.
Predictive maintenance for fleet management
Time-series models reduced unplanned downtime by 18% across a mixed heavy equipment fleet.
Amazon Redshift — Architecture and Query Optimization
Distribution styles, sort keys, VACUUM, ANALYZE, and WLM tuning.
GraphQL vs REST — When to Use Each
Comparing query flexibility, over-fetching, tooling, and operational complexity.
Data Platform Cost Optimization Strategies
Reducing Snowflake, S3, Spark, and Kafka spend without sacrificing performance.
BigQuery Cost and Performance Optimization
Partitioned tables, clustered tables, slot usage, and avoiding full scans.