Overview
Anthracite DB Performance Consulting is a hands-on professional services engagement from the database engineers behind the Anthracite managed database platform. We diagnose and resolve performance problems across PostgreSQL, Valkey (Redis-compatible), and OpenSearch workloads: slow query analysis and query optimization, index strategy and schema design, connection pooling, caching architecture, replication and failover tuning, and capacity planning. Every engagement produces a prioritized remediation plan with measured before/after benchmarks, so you get durable latency, throughput, and reliability improvements, not just a report.
Beyond tuning, we help teams right-size their database spend. We review instance sizing, storage configuration, and workload patterns to reduce cost without sacrificing performance, and we advise on migration paths such as consolidating self-managed databases, moving between engines, or adopting a managed platform. Typical outcomes include p99 latency reductions, elimination of query hot spots, cache hit-rate improvements, and infrastructure cost savings backed by data.
This professional services offering relates to databases running on or alongside AWS services, including Amazon RDS for PostgreSQL, Amazon Aurora PostgreSQL, Amazon ElastiCache (Redis OSS and Valkey), Amazon MemoryDB, Amazon OpenSearch Service, and self-managed PostgreSQL, Valkey, Redis, or OpenSearch deployments on Amazon EC2. It also complements the Anthracite managed database platform available on AWS Marketplace (currently in limited preview). Engagements are delivered remotely by senior database engineers and scoped via private offer.
Highlights
- Measurable performance wins, not just a report. Senior database engineers diagnose slow queries, index gaps, and caching misses across PostgreSQL, Valkey, and OpenSearch, then deliver a prioritized remediation plan with before/after benchmarks for latency and throughput.
- Cut database spend without cutting performance. Instance right-sizing, storage and workload review, and capacity planning for Amazon RDS, Aurora, ElastiCache, MemoryDB, OpenSearch Service, and self-managed databases on EC2.
- From audit to architecture. Guidance on schema design, connection pooling, replication and failover tuning, and migration paths, whether you are consolidating self-managed databases or adopting a managed platform.
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