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PgBouncer Consulting Services

In short: PgBouncer is a lightweight open-source connection pooler for PostgreSQL that multiplexes many client connections onto a small set of backend connections, easing max_connections pressure from short-lived or serverless workloads. The consulting covers pool-mode selection (session/transaction/statement), pool sizing, prepared-statement handling, RDS Proxy comparison, and HA topology.

Pool mode selection, connection pool sizing, PgBouncer vs RDS Proxy decision, prepared-statement handling, HA topology design, and observability architecture. See the PgBouncer hub for the broader services overview.

Book a PgBouncer architecture review All PgBouncer services

Sound familiar?

  • ▸ Postgres max_connections saturated — your Lambda or app servers are churning connections and PgBouncer is the obvious answer, but transaction-mode breaks prepared statements.
  • ▸ PgBouncer vs RDS Proxy — finance wants a cost comparison, latency profiling needs to happen, and the ops-ownership tradeoff has to be defended.
  • ▸ Single PgBouncer SPOF — your current deployment has one PgBouncer in front of the cluster and HA-aware topology design is overdue.

JusDB PgBouncer consultants give you the written pool-mode + topology design. Book a PgBouncer architecture review →

What our PgBouncer consulting covers

Each deliverable is a written architecture document, sized topology proposal, or pool-mode decision with rationale.

01

Pool Mode Selection

Session / transaction / statement mode decision with application-compatibility audit, prepared-statement handling, session-state workarounds.

02

Connection Pool Sizing

Backend max_connections-aware sizing, active-session modeling, burst headroom, reserved admin / replication slot accounting.

03

PgBouncer vs RDS Proxy

Multi-cloud + cost vs AWS-native managed-service tradeoff, latency profile comparison, break-even TCO modeling against actual workload.

04

HA Topology Design

Multi-PgBouncer behind HAProxy/Keepalived/NLB, config sync via Consul/etcd/Ansible, K8s sidecar vs shared-Service pattern.

05

Prepared Statement Strategy

Server-side prepare disabled, PgBouncer 1.21+ protocol-prepared support, alternative pooler evaluation (pgcat, Supavisor) for full prepared-statement support.

06

Observability Design

PgBouncer stats integration with Prometheus, slow-query correlation, pool-saturation alerting, backend-connection-saturation tracking.

PgBouncer consulting — common questions

What does PgBouncer consulting cover?
Pool mode selection (session / transaction / statement) — including the application-compatibility implications, connection pool sizing modelled against backend max_connections + active session distribution, PgBouncer vs RDS Proxy vs pgcat decision, prepared-statement handling (workarounds for transaction-pooling mode), TLS/SSL configuration, HA topology design (multiple PgBouncer instances with HAProxy or Keepalived). Deliverables are written architecture documents.
Session vs Transaction vs Statement mode — which fits?
Session mode: one client = one backend connection for full session — simplest, supports all Postgres features but lowest pooling benefit. Transaction mode: backend connection released after each transaction — best pooling efficiency, but breaks features that need session state (SET, LISTEN/NOTIFY, prepared statements in some clients, advisory locks). Statement mode: backend released after each statement — rarely used, breaks transactions entirely. Most production deployments use transaction mode after fixing the session-state compatibility issues.
Prepared statements in transaction mode — how do you handle them?
Transaction-mode pooling breaks server-side prepared statements because the backend connection rotates per transaction. Solutions: (1) disable server-side prepares in the client driver (PgJDBC: prepareThreshold=0; psycopg: use protocol-level binding without server-side prepare), (2) use PgBouncer 1.21+ with track_prepared_statements which adds support for protocol-level prepared statements (still has constraints), (3) use a connection pooler that handles this better (pgcat, Supavisor). We help pick the right strategy for your stack.
PgBouncer vs RDS Proxy — when to use which?
RDS Proxy: AWS-managed, IAM integration, automatic failover handling, deep RDS integration, but more expensive and adds per-request latency. PgBouncer: open-source, multi-cloud, very low latency, much cheaper, but needs operational ownership. For AWS-only workloads where managed-service ergonomics matter, RDS Proxy. For multi-cloud, cost-conscious, or low-latency workloads, PgBouncer. The break-even is workload-specific — we model both before recommending.
How do you size PgBouncer correctly?
Pool sizing depends on: backend max_connections (Postgres default 100 — usually raised to 300-500 for production), active concurrent transactions (NOT total app connections), query latency profile, and burst behaviour. Common formula: backend_pool = backend_max_connections - reserved_admin_slots - replication_slots, distributed across PgBouncer instances. We model your workload (active session distribution, query latency, burst rates) before sizing — defaults are usually wrong by a factor of 2-5.
PgBouncer HA topology — what does production look like?
Single PgBouncer is a SPOF. Standard HA: multiple PgBouncer instances behind HAProxy, Keepalived, or AWS NLB. Each PgBouncer connects to the same Postgres backend cluster. Config sync via Consul, etcd, or Ansible. For K8s deployments: PgBouncer as a sidecar to each app pod (no SPOF but high backend connection count), or as a Service with multiple Pods (shared cluster behaviour). We design the right pattern for your scale + ops model.

Ready to design your PgBouncer topology?

Book a 30-minute scoping call. We'll review your topology, surface optimisation opportunities, and propose the right engagement shape.

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