PostgreSQL Support

24/7 PostgreSQL Support with a 15-Minute Emergency SLA

AceMQ supports PostgreSQL in production — autovacuum falling behind, bloat from idle-in-transaction sessions pinning the xmin horizon, WAL disks filled by a forgotten replication slot, and plans that flip to sequential scans overnight. Self-managed, RDS, Aurora, or Kubernetes. Every ticket reaches a named senior engineer.

Senior PostgreSQL engineers on call right now — 24/7/365
15 min emergency SLA24 /7 global coverage130 + enterprise customers26 + countries served

Trusted for mission-critical PostgreSQL by teams in finance, healthcare, defense, and telecom

Escalation Path

Your first hour of a PostgreSQL outage

Most vendors publish an SLA number. This is what actually happens, minute by minute, when you page a senior AceMQ engineer.

T+0

You page us

Phone, email, or Slack — any channel reaches the on-call senior engineer directly. No web form, no tier-1 queue.

T+15

Named engineer live

A senior engineer who already knows your environment joins a live bridge. Zero cold-start, no re-explaining your topology.

T+30

Root cause isolated

Direct broker access, log and metric review, and a working hypothesis with a rollback plan before we touch anything.

Post

Written RCA

Documented root cause, the fix applied, and the prevention steps — delivered after every P1, not just when asked.

Response Times

SLA tiers, contractually guaranteed

Every tier reaches a senior PostgreSQL engineer. There is no tier-1 triage layer to get through.

P1 — Emergency
15 min

Production down, messages not flowing, cluster or broker failure

P2 — Critical
1 hour

Severe degradation, rising error rates, approaching capacity limits

P3 — High
4 hours

Performance issues, configuration problems, non-critical failures

P4 — Standard
Next day

Questions, guidance, best practices, non-urgent improvements

Incident Triage

PostgreSQL problems we fix every week

These are real symptoms from real PostgreSQL production environments — and the first thing our engineers check when one comes in.

Queries slow down over weeks, then recover after a restart
What we check firstAutovacuum lag and table/index bloat. Long-running idle-in-transaction sessions hold the xmin horizon open, so vacuum cannot reclaim dead tuples — every scan walks more dead rows each week until the restart kills the session that was blocking it.
Typical resolution1–3 hours
WAL directory filling the disk with no increase in write traffic
What we check firstpg_replication_slots for an inactive slot. A slot left behind by a decommissioned replica or a paused CDC consumer retains WAL indefinitely, and Postgres will happily fill the volume defending a subscriber that is never coming back. We also check for a silently failing archive_command.
Typical resolutionUnder 1 hour
Warnings about transaction ID wraparound, or datfrozenxid age climbing
What we check firstPer-table age(relfrozenxid) and whether autovacuum workers are saturated or being cancelled. A stuck prepared transaction or an orphaned replication slot can pin the horizon so no amount of vacuuming advances it — that has to be cleared before a freeze can finish.
Typical resolution2–4 hours
"FATAL: sorry, too many clients already" under normal load
What we check firstApplication pool sizing against max_connections, and per-connection memory. Postgres forks a backend process per connection, so 2,000 app connections is a memory and scheduler problem before it is a limit problem. Usually the answer is pgbouncer in transaction pooling mode, not a higher limit.
Typical resolutionUnder 2 hours
A fast query plan flipped to a sequential scan overnight
What we check firstStatistics freshness on the filtered columns — pg_stat_user_tables last_analyze, n_distinct estimates, and default_statistics_target. A bulk load without a following ANALYZE is the classic trigger, and correlated predicates often need extended statistics to plan correctly.
Typical resolutionUnder 2 hours
Commits stall on the primary during traffic spikes
What we check firstsynchronous_commit and synchronous_standby_names — a lagging synchronous standby blocks every commit acknowledgement on the primary. If replication is healthy, we look at checkpoint timing and the write stall that comes with a too-small checkpoint window.
Typical resolution1–2 hours
Deadlocks and lock waits growing in the application logs
What we check firstpg_locks joined against pg_stat_activity with log_lock_waits enabled, to see the actual blocking chain. Nearly always inconsistent statement ordering across transactions, or foreign key row locks taken in a different order by two code paths.
Typical resolution1–2 hours
RDS or Aurora failover took far longer than expected
What we check firstParameter group state for settings still in pending-reboot, storage autoscaling headroom, and whether the application is pinned to the writer endpoint rather than resolving it. Aurora and RDS fail over differently, and clients tuned for one behave badly on the other.
Typical resolutionSame day

Resolution times reflect typical PostgreSQL engagements under an active AceMQ support contract. Every P1 closes with a written root-cause analysis.

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Support In Practice

PostgreSQL problems we've already solved

Representative engagements showing how these incidents get diagnosed and closed under an AceMQ support contract.

Remediation

Grafana Outage and Datasource Timeout Remediation

Telecommunications Operator

Remediation of a Grafana deployment that became unusable during incidents, with dashboards timing out exactly when engineers needed them most.

GrafanaPrometheusKubernetes
Read case study
Support

Memcached Cache Stampede and Eviction Support

Digital Media Platform

Ongoing support for a Memcached tier prone to thundering-herd database load after node changes and cache expiry cliffs.

MemcachedLinuxPostgreSQL
Read case study
Remediation

PostgreSQL Autovacuum and Transaction ID Wraparound Remediation

Insurance Services Provider

Emergency intervention on a database approaching transaction ID wraparound because autovacuum could not keep pace with the largest tables.

PostgreSQLLinuxPrometheus
Read case study
Support

PostgreSQL WAL and Replication Slot Support

Digital Banking Platform

Ongoing support for a cluster where an abandoned logical replication slot repeatedly filled the WAL volume and threatened to halt the primary.

PostgreSQLDebeziumKafka
Read case study
Assessment

PostgreSQL Performance and Bloat Assessment

Retail Technology Provider

Independent assessment of query performance, index health, table and index bloat, and connection management for a cluster with degrading response times.

PostgreSQLPgBouncerPrometheus
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Remediation

Apache Airflow Zombie Task and Scheduling Stall Remediation

National Insurance Carrier

Restoring scheduling on Airflow deployments where zombie tasks hold executor slots and pools until nothing new gets queued.

Apache AirflowKubernetesCelery
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Support

Apache Airflow DAG Parse Time Support

Digital Retail Platform

Fixing scheduler delay caused by DAG files that make network or database calls at parse time, blocking every DAG in the deployment.

Apache AirflowKubernetesPostgreSQL
Read case study
Assessment

Apache Airflow Platform Assessment

Regional Utility Operator

Reviewing an Airflow deployment for reliability, DAG authoring practice, secrets handling, and upgrade readiness before it becomes unmaintainable.

Apache AirflowKubernetesPostgreSQL
Read case study
What's Included

Everything in your PostgreSQL support contract

No add-on pricing for incidents. No per-ticket charges. One contract covers the whole surface.

Emergency Incident Response

Database down, disk full, replication broken, or a primary that won't accept writes. A senior engineer joins a live bridge within 15 minutes with access to diagnose — not a ticket acknowledgement.

Root Cause Analysis

Every P1 closes with a written RCA: what failed, why, the fix applied, and the configuration, index, or query change that prevents recurrence. Delivered as standard, not on request.

Query & Plan Tuning

EXPLAIN (ANALYZE, BUFFERS) on your real workload, index design including partial and expression indexes, extended statistics for correlated predicates, and work_mem sizing that stops sorts spilling to disk.

Vacuum & Bloat Remediation

Autovacuum tuning per table rather than globally, cost-limit sizing that actually keeps up with your churn, and online bloat removal with pg_repack where a rewrite would otherwise need a maintenance window.

CVE & Patch Advisory

Alerts for CVEs affecting your exact PostgreSQL version and extension set, with tested minor-version upgrade paths and guidance on which fixes require a reindex or a catalog change.

Upgrades, HA & Migrations

Major version upgrades via pg_upgrade or logical replication with minimal downtime, Patroni and repmgr HA review, and migrations from Oracle, SQL Server, or MySQL onto PostgreSQL.

Anywhere You Run It

We support PostgreSQL wherever it's deployed

Cloud, Kubernetes, bare metal, hybrid, and air-gapped — including environments where you can't give us outbound network access.

Self-managed PostgreSQL 12 – 17Amazon RDS for PostgreSQLAmazon Aurora PostgreSQLAzure Database for PostgreSQL Flexible ServerGoogle Cloud SQL & AlloyDBCloudNativePG / Crunchy / Zalando operatorsVMware Tanzu PostgresKubernetes & OpenShiftCitus & distributed PostgreSQLBare metal & on-premiseAir-gapped / no outbound accessHybrid cloud
Why AceMQ

What you get that you don't get elsewhere

Named Engineers, Zero Cold Start

The same senior engineers stay on your account. They know your schema, your replication topology, and your churn profile — so a P1 call starts with a hypothesis rather than an interview about your environment.

No Tier-1 Triage Layer

You reach a senior PostgreSQL engineer directly by phone, email, or Slack. No help desk collecting details to relay, and no escalation approval between you and someone who can read a plan and act on it.

We Fix Vacuum Properly, Once

Most autovacuum advice on the internet is a global setting change that helps for a month. We tune per-table thresholds against actual dead tuple churn and find the session or slot holding the xmin horizon — because that's the part that keeps coming back.

RDS, Aurora, and Self-Managed

Aurora is not Postgres with better hardware; its storage layer changes checkpoint behaviour, failover semantics, and how replication lag presents. We support all three models and we know where the managed abstractions leak.

Genuine Follow-the-Sun Coverage

Engineers across 26+ countries and every time zone. Your 3am wraparound warning is someone's mid-afternoon — no overnight skeleton crew, no waiting for a region to wake up.

Full-Stack, Not Just the Database

We diagnose across the connection pooler, the ORM's query generation, storage latency, filesystem and kernel settings, and Kubernetes. A surprising number of Postgres incidents are caused two layers above or below it.

FAQ

PostgreSQL support questions

Your PostgreSQL Cluster Shouldn't Degrade Silently for Weeks

Whether you need emergency response tonight or a support contract that catches bloat and wraparound risk before they page you, AceMQ staffs every engagement with a named senior PostgreSQL engineer. Support quotes returned within 24 hours.

Get in Touch

Talk to a Support Expert

Send us a message and we'll follow up within one business day — or book a free 30-min consultation directly.

305-204-2607
info@acemq.com
66 W. Flagler St. 9th Floor
Miami, FL 33130

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