Emergency Incident Response
A sync pipeline feeding production reporting or ML training data goes dark. A senior engineer joins a live bridge within 15 minutes with access to diagnose — not a ticket acknowledgement.
Airbyte Support
Last reviewed by Scott Sternloff
AceMQ supports Airbyte Cloud, Airbyte Enterprise, and self-hosted OSS deployments in production — connectors that break silently on schema drift, normalization failures that leave stale warehouse tables, and worker resource exhaustion. Every ticket reaches a named senior engineer who already knows your pipeline.
Planning a build, upgrade or migration instead? See AceMQ Airbyte consulting and services.
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Incident Triage
These are real symptoms from real Airbyte production environments — and the first thing our engineers check when one comes in.
| Symptom you're seeing | What we check first | Typical resolution |
|---|---|---|
| Sync shows green but the source table changed and data stopped landing | Schema change history against the connector's discovered catalog. A column added or renamed upstream without a schema refresh silently drops the field or fails the record instead of alerting anyone. | 1–2 hours |
| Sync succeeds but the warehouse table looks stale | The normalization or dbt step that runs after raw data lands. Airbyte marking a sync 'succeeded' only means extraction and load worked — a failing transformation step downstream leaves the final table untouched with no sync-level error. | 1–3 hours |
| Incremental sync suddenly pulls the full dataset again, warehouse costs spike | Cursor field state and connector version history. A cursor reset — from a connector upgrade, a source-side primary key change, or state corruption — silently drops the incremental checkpoint and reprocesses everything. | 2–4 hours |
| Sync fails midway through with 429s from the source API | The connector's rate-limit handling and configured sync frequency against the source's actual API quota. Some connectors don't back off correctly and need concurrency or page-size tuning rather than a retry. | Under 2 hours |
| Self-hosted OSS worker pods keep getting OOMKilled or timing out | Worker container resource requests/limits against actual record volume and JSON payload size. Airbyte's Java and Python workers are commonly under-provisioned relative to the sync throughput teams actually push through them. | 1–3 hours |
| Custom CDK connector broke after an Airbyte platform upgrade | The CDK version pinned in the custom connector against the platform's supported CDK range. Breaking changes in CDK minor versions are common and usually the actual cause, not the platform upgrade itself. | 2–4 hours |
| Data is landing in the source but never reaches the destination table | Destination-side write logs for permission errors or schema mismatches. These failures often log a warning buried in sync logs that nobody is actively watching, rather than surfacing as a hard sync failure. | Under 2 hours |
| Airbyte Cloud sync duration keeps growing week over week | Source table growth against the sync mode configured. A table that outgrew full-refresh sync mode, or an incremental cursor on a low-cardinality column causing redundant scans, is the usual culprit. | 1–2 hours |
Resolution times reflect typical Airbyte engagements under an active AceMQ support contract. Every P1 closes with a written root-cause analysis.
What's Included
No add-on pricing for incidents. No per-ticket charges. One contract covers the whole surface.
A sync pipeline feeding production reporting or ML training data goes dark. A senior engineer joins a live bridge within 15 minutes with access to diagnose — not a ticket acknowledgement.
Every P1 closes with a written RCA: which connector or step failed, why it failed silently, and the monitoring or config change that prevents it recurring. Delivered as standard, not on request.
Sync mode selection, cursor field configuration, worker resource sizing, and rate-limit handling tuned against your actual source volume and API quotas.
Alerting on source schema changes and normalization/dbt step failures — the two categories of failure that Airbyte's own sync status will not surface as an error.
Quarterly reviews of sync frequency, warehouse compute burned on unnecessary full refreshes, and worker resource headroom so you size ahead of pipeline growth.
CDK-based custom connector maintenance, platform upgrade validation, and migration support for teams moving off Pentaho or hand-rolled ETL onto Airbyte.
Why AceMQ
The same senior engineers stay on your account. They know your source systems, your sync schedules, and which connectors are flaky — so a P1 starts with diagnosis, not twenty minutes of explaining your pipeline.
You reach a senior Airbyte engineer directly by phone, email, or Slack. No help desk collecting information to pass along, no escalation approval process between you and someone who can actually fix it.
We diagnose across the connector, the normalization/dbt layer, and the destination warehouse — because 'sync succeeded' and 'data is correct' are two different claims, and most incidents live in the gap between them.
Engineers across 26+ countries and every time zone. Your 3am pipeline failure is someone's mid-afternoon — no overnight skeleton crew, no waiting for a region to wake up.
Quarterly health checks on your deployment plus shared intelligence across our support base. When a connector-specific bug surfaces on one customer's pipeline, every affected customer hears about it before it hits their production sync.
If Airbyte is the wrong fit for a specific source, or a legacy Pentaho job would migrate more cheaply than it would be replatformed, we say so. Our job is a working pipeline, not defending a tool choice.
Cloud, Kubernetes, bare metal, hybrid, and air-gapped — including environments where you can't give us outbound network access.
Escalation Path
Every tier reaches a senior Airbyte engineer. There is no tier-1 triage layer to get through.
P1 escalation path
A replay of one P1, from the first page to the written root-cause analysis
15-minute P1 response, 24/7.
A response time, not a resolution time.
P1 opened, on-call engineer paged
Phone, email or Slack reaches the on-call senior engineer directly, whether the incident is in RabbitMQ, Kafka, Redis, PostgreSQL or Kubernetes. No web form, no tier-1 queue.
Senior engineer on your bridge
A senior engineer who already knows your environment joins a live bridge, so nobody has to re-explain your topology.
Specialists across the stack join
When an incident crosses components, the engineers who know each one join. For RabbitMQ, the path runs to the core team.
Written root-cause analysis
Root cause, the fix applied and the prevention steps, delivered after every P1.
Pricing
AceMQ Airbyte support contracts typically run $24,000–72,000 a year, depending on SLA level, scope (number of clusters or nodes, and environments) and deployment (self-managed, cloud-managed or Kubernetes).
| What moves the price | How it changes the contract |
|---|---|
| SLA level | Business-hours cover costs less than 24/7 cover with a 15-minute emergency response. |
| Scope | More clusters or nodes, and more environments, make a larger contract. |
| Deployment | Self-managed, cloud-managed and Kubernetes estates need different amounts of hands-on work. |
Covering several technologies under one contract, for example RabbitMQ, Kafka and Redis, earns an aggressive discount.
Support In Practice
Airbyte support work from AceMQ. Each card links to the full write-up: the pipeline estate, what AceMQ diagnosed or changed, and the result.
Retail Analytics Organization
Diagnosing an Airbyte connection that kept reporting success while the destination table quietly went stale after an upstream schema change.
Subscription Software Provider
Stopping an Airbyte connection that kept dropping out of incremental mode and re-running full refreshes against a large table every night.
Insurance Services Group
A structured review of an Airbyte estate that had grown organically — auditing connector versions, sync modes, state handling, and failure visibility.
Media Streaming Company
Stopping recurring build agent and node outages caused by unpruned Docker build cache, dangling images, and orphaned volumes filling the filesystem.
Regional Banking Group
Taking a proof-of-concept Airbyte install to a production-grade deployment with proper isolation, secrets handling, resource limits, and recovery procedures.
Healthcare Payer Organization
Planning and executing a staged move off Pentaho Data Integration onto a modern ELT stack, without a big-bang cutover of hundreds of transformations.
Support options
AceMQ offers Airbyte support in four tiers, each handing more of the day-to-day work to AceMQ: 24/7 support and incident management for pipelines your team runs, proactive monitoring that finds schema drift and cost spikes first, managed Airbyte on your own infrastructure, and fully managed Airbyte on AceMQ infrastructure. Cloud, Enterprise and self-hosted open source estates are covered, with Cloud under the first two.
You run it, we back you up
Best for: Data teams that run Airbyte themselves and need senior cover when a pipeline feeds a board report.
You run it, we watch it with you
Best for: Teams that want the stale table or the cost spike found in a review, not in a finance meeting.
We run it in your cloud or data centre
Best for: Regulated estates that must keep source credentials and data movement inside their own boundary.
We host it and run it, as a service
Best for: Teams that want Airbyte pipelines without running the Kubernetes workers themselves.
| Who does what | Tier 1 24/7 support | Tier 2 Proactive monitoring | Tier 3 Managed, your infrastructure | Tier 4 Fully managed by AceMQ |
|---|---|---|---|---|
| Who runs Airbyte day to day? | Your team | Your team, with AceMQ reviews | AceMQ | AceMQ |
| Where does it run? | Your infrastructure | Your infrastructure | Your cloud account or data centre | AceMQ infrastructure |
| 24/7 incident response | 15-minute P1 response | 15-minute P1 response | 15-minute P1 response | 15-minute P1 response |
| Health checks and CVE alerts | On request | Scheduled | Included | Included |
| Patching and upgrades | Your team, AceMQ advises | Planned with AceMQ | Done by AceMQ | Done by AceMQ |
| Monitoring and on-call | Your team | Your team | AceMQ | AceMQ |
| Data, keys and accounts | Yours | Yours | Yours | Your data, hosted by AceMQ |
Every Tier can start as an ad hoc engagement or an annual partnership, and you can move up or down a Tier as your team changes.
One partner for Airbyte
Support is one part of what AceMQ does for Airbyte. The same engineers deliver consulting, health checks, migrations and end-of-life cover, and support the systems that usually run next to it.
Our Airbyte support covers 24/7 emergency incident response with a 15-minute SLA, root cause analysis on every P1, connector and sync tuning, schema drift monitoring guidance, quarterly capacity reviews, and custom connector or upgrade support. Every ticket is handled by a named senior engineer assigned to your account — there is no tier-1 triage layer and no per-incident charge.
Yes. We support all three deployment models, including migrations between them. Self-hosted OSS carries the most operational surface — worker resource sizing, upgrade coordination, and infrastructure — so it's typically where we spend the most proactive tuning time.
Yes, and this is one of the most common Airbyte support requests we get. A green sync status only confirms extraction and load completed — it says nothing about whether the downstream normalization or dbt step ran correctly, or whether a source schema change silently dropped a field. We set up monitoring specifically for these gaps and diagnose them fast when they happen.
P1 emergencies — a pipeline feeding production reporting or ML data is down — get a 15-minute first response with a senior engineer joining a live bridge. P2 critical issues are 1 hour, P3 high-priority 4 hours, and P4 standard questions next business day. These are contractual, not best-effort targets.
Yes. We maintain and troubleshoot custom Airbyte CDK connectors, including diagnosing breakage after a platform or CDK version upgrade — which is the single most common cause of custom connector failures we see.
Yes. We plan and execute Pentaho-to-Airbyte migrations, including mapping existing Kettle transformations to Airbyte connectors or custom sources where no native connector exists. We'll also tell you honestly when a Pentaho job is cheap to keep running as-is and not worth migrating yet.
Airbyte is an open-source data integration platform: connectors move data from data sources and APIs into a warehouse or database, usually feeding ELT pipelines with dbt downstream. Self-hosted Airbyte, now called Airbyte Core, keeps credentials and data movement inside your network and gives you the Kubernetes deployment to run; Airbyte Cloud removes that operational work and adds the Airbyte support team for certified connectors. Airbyte no longer sells Self-Managed Enterprise, so self-hosted users have community support through the Airbyte docs, GitHub and Slack, and nothing contractual. AceMQ supports both models. On Cloud we cover the pipeline, connector configuration and the systems at each end; self-hosted we also cover the platform, upgrades and the Helm or abctl deployment.
A failed or silently wrong sync reaches a senior data engineer within 15 minutes at P1. Diagnosis starts from the job logs and the connector: a schema change at the source, a cursor that reset an incremental sync to full refresh, a worker pod killed for memory, a CDC replication slot that fell behind, or an upstream API change that broke a marketplace connector nobody maintains. We fix the configuration, patch or replace the connector, or build a custom connector with the low-code builder or CDK, then add the monitoring that would have caught it: sync duration and row count trends, freshness checks in the warehouse, and alerts on connection status through the API, so a green job that moved no data is noticed the same day.
Yes. AceMQ works on Airbyte in two ways: ad hoc engagements for a defined piece of work, such as a health check, an upgrade or an incident, or an annual partner engagement that covers 24/7 support, proactive reviews and named engineers. Many teams start ad hoc and move to an annual partnership once the first engagement is done.
Every AceMQ proposal is tailored to your requirements: your Airbyte environment, the SLA you need, the hours of cover and the scope of work. Most contracts run $24,000–72,000 a year, depending on the SLA, the scope and how Airbyte is deployed, with aggressive discounts when several technologies share one contract. Request a quote and AceMQ replies within 1 hour.
Let's talk
Reactive cover, proactive reviews, or AceMQ running Airbyte for you on your infrastructure or ours. A senior engineer scopes it with you, and quote requests are answered within 1 hour.
Production incident right now?Email an Airbyte Architect
Send us a message and we'll follow up within 1 hour — or book a free 30-min consultation directly.
305-204-2607info@acemq.comPrefer to talk now? Call us directly or use the consultation tab to find a time that works.