Google Cloud Pub/Sub Consulting & Services
AceMQ provides Google Cloud Pub/Sub consulting, topic and subscription design, ordering and dead-letter configuration, Dataflow integration, migration from Kafka and RabbitMQ, and 24/7 support, delivered by named senior engineers. The team of 11+ senior engineers has served 160+ customers in 26+ countries, with a 15-minute emergency response around the clock.
A senior engineer, not an SDR. No sales sequence attached.
Without rebuilding your pipelines or moving off Google CloudFor production incident cover, see AceMQ Google Cloud Pub/Sub 24/7 support.
Customers
Partners
The Problem
Eight Google Cloud Pub/Sub problems that teams bring to AceMQ, from ack deadlines shorter than the work and hot ordering keys, to dead-letter topics nobody consumes and a backlog that outlasts its retention window. If one describes your week, that is where the review starts.
Unacked messages accumulate because the ack deadline is shorter than the work takes
Ordering keys were added late and throughput is now capped by a handful of hot keys
The same message is delivered more than once to subscribers that were never made idempotent
A subscription backlog is growing and the retention window will expire before it drains
Dataflow autoscaling reacts to the backlog too late and the lag never recovers
Push endpoints return errors under load and the retry behaviour makes the load worse
Dead-letter topics were configured correctly and nothing consumes them
Delivery and egress charges are climbing faster than the event volume behind them
A good fit if you run Google Cloud Pub/Sub in production, with GKE, Cloud Run or Dataflow subscribers, and want senior engineers who know its failure modes and stay on a problem until the root cause is written down.
Not a fit for small teams with non-critical workloads. AceMQ is not a budget consultancy: we work with enterprises running business-critical and compliance-heavy Google Cloud Pub/Sub.
How it breaks, and the fix
Pub/Sub redelivers a message that is nacked or whose ack deadline passes. Without a dead-letter topic, one poison message is redelivered indefinitely, and every redelivery takes a slot in the subscriber's flow control. Once the limit is full, the subscriber stops pulling anything else.
One poison message, one shared subscriber pool
Two publishers, three subscriptions, one pool of subscribers
Shared subscriber poolAll three subscriptions drain as fast as messages are published. The subscriber pool sits well under its limits and oldest unacked age stays low.
One malformed invoice record fails every time. With no dead-letter topic, Pub/Sub redelivers it again and again, and each attempt takes a slot in the shared pool. Once the pool is full the subscribers stop pulling, backlogs and oldest unacked age climb, and the services that wait on results begin to time out.
A dead-letter topic with a set number of delivery attempts takes the record out after a few tries, and a subscription on that topic keeps it for someone to inspect. Retry backoff spaces the attempts, flow control is sized to the pool, and the other subscriptions never noticed.
A poison message with no way out is one of the reasons teams call AceMQ about Google Cloud Pub/Sub. The fix is a set of linked settings: a dead-letter topic with a defined maximum delivery attempts, the Pub/Sub service agent granted publisher on that topic and subscriber on the source subscription, a subscription on the dead-letter topic so forwarded messages are kept, an exponential backoff retry policy, an ack deadline sized to the handler's p99, client flow control sized to the threads available, idempotent handlers, and alerts on dead-letter count, expired ack deadlines and oldest unacked message age. Delivery attempt counts are approximate, so AceMQ tests the whole path with a bad message before it is needed.
Our Services
AceMQ runs four Google Cloud Pub/Sub service lines: architecture and design, Dataflow and analytics integration, migration onto Pub/Sub, and performance and cost optimization. A senior engineer leads each one, and any of them can roll into 24/7 support with a 15-minute emergency SLA.
We design Google Cloud Pub/Sub deployments that handle global-scale event streaming with the right subscription types, ordering keys, and retention policies.
We design and implement Dataflow pipelines, BigQuery streaming inserts, and event-driven architectures on top of Pub/Sub — connecting your streaming data to the tools your team already uses.
Migrating from Kafka, RabbitMQ, or another on-premises broker? We map message semantics and re-architect consumers for the Pub/Sub pull model.
Pub/Sub costs scale with data volume and operations. We tune your configuration to maximize throughput and minimize costs, especially for high-volume streaming workloads.
Named senior engineers on your account — 15-minute emergency response, no ticket routing, no junior triage.
24/7 Support
AceMQ Google Cloud Pub/Sub support gives you a named senior engineer and a 15-minute first response when production is down, 24/7, on pull and push subscriptions. Lower severities get 1-hour, 4-hour and next-day responses, and every P1 ends with a written root-cause analysis.
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.
Beyond SLAs — the model behind senior-only, zero-cold-start expert access.
Every ticket is handled by a senior SME assigned to your account — not a pool of anonymous agents. Zero cold-start. No re-explaining your environment.
Any ticket can be escalated to a live session with your named engineer via calendar booking. No gatekeeping, no approval required — direct access, always.
Quarterly health checks on your deployment plus shared intelligence from our support customers — we surface risks before they reach production.
How It Works
An AceMQ Pub/Sub engagement runs in four stages: a topic and subscription assessment of 1 to 2 weeks, written findings within a week, changes made with your engineers and staged per subscription, then a handover with runbooks for backlog recovery, dead-letter replay and subscriber scaling.
1–2 weeks
We review topic and subscription layout, ack deadlines, flow control, ordering keys, retry policies and dead-letter routing against the delivery guarantees your consumers actually rely on.
Within a week
Prioritised findings with the reasoning attached, separating what is a Pub/Sub configuration problem from what is a subscriber problem.
Scoped per engagement
We change subscription settings, subscriber client behaviour and Dataflow pipeline configuration with your engineers rather than around them. Every change is staged and reversible.
Ongoing
Runbooks for backlog recovery, dead-letter replay and subscriber scaling, plus 24/7 support with a 15-minute emergency SLA if you want it.
A senior engineer, not an SDR. No sales sequence attached.
Customer Success
Google Cloud Pub/Sub work from AceMQ, with production cases on ack deadlines, dead-letter topics and ordering keys. Each card links to the full write-up: the environment, what AceMQ assessed or changed, and the result.
Enterprise Technology Organizations
A review of Pub/Sub subscription design, acknowledgement handling, dead-letter policy and cost drivers, including an honest comparison against self-managed messaging.
Google Cloud Pub/Sub
KubernetesDigital Wallet Provider
Subscribers on GKE fell behind, Pub/Sub redelivered messages they were still working on, and members received duplicate notifications. AceMQ found the gap between the ack deadline and the handler.
Google Cloud Pub/SubKubernetes
Java
PostgreSQLTelecom Billing Provider
Six subscriptions had a dead-letter policy, and poison messages kept cycling anyway. AceMQ found missing service agent permissions and a dead-letter topic with nothing subscribed to it.
Google Cloud Pub/Sub
Terraform
PythonLogistics Technology Provider
Throughput fell to a trickle after message ordering was switched on. AceMQ found a low-cardinality ordering key and publishers that had stopped sending for a key after a single failed publish.
Google Cloud Pub/SubKubernetesPythonSolutions
AceMQ covers Google Cloud Pub/Sub end to end: topic and subscription consulting, 24/7 support and incident management, proactive monitoring, operations inside your Google Cloud project or from AceMQ-managed projects and infrastructure, a fixed-price health check and migration.
Projects
Fixed-scope work led by a senior engineer: architecture and new builds, a health check of what you run today, or a migration with a reversible cutover.
Support and managed services
Four tiers of ongoing cover once you are live. Each tier hands more of the day-to-day work to AceMQ, from a 15-minute emergency SLA to AceMQ hosting and running Google Cloud Pub/Sub for you.
Compare the four Google Cloud Pub/Sub support tiersSide by side
A Google Cloud Pub/Sub pull subscription has your subscriber ask for messages and acknowledge each one. A push subscription has Pub/Sub send an HTTPS request to your endpoint and treats the response as the acknowledgement. They fail in different ways, and each row below answers one question about how.
| Question | Pull subscription | Push subscription |
|---|---|---|
| Who starts delivery? | Your subscriber asks for messages, with StreamingPull or Pull requests. | Pub/Sub sends an HTTPS request to your endpoint. |
| What counts as an acknowledgement? | An explicit ack from the subscriber before the ack deadline passes. | A success response from the endpoint. Any other response is a nack and Pub/Sub retries. |
| How is load controlled? | In the client, with flow control on outstanding messages and bytes. | By your endpoint's responses: Pub/Sub slows down when the endpoint errors or responds slowly. |
| Is exactly-once delivery available? | Yes, when enabled on the subscription. An ack that fails or arrives late is not honoured, so the message is redelivered. | No. Push subscriptions deliver at least once. |
| What does a silent failure look like? | Subscribers look healthy while oldest unacked message age climbs, because flow control is full or deadlines are expiring. | The backlog grows behind a failing or slow endpoint, with no error on the subscriber side. |
| What does AceMQ review? | Ack deadline against handler p99, lease extension, flow control, ordering keys and the dead-letter topic. | Endpoint response codes and latency, retry policy, endpoint scaling and the dead-letter topic. |
To see who supports Pub/Sub, Kafka, RabbitMQ and other brokers in production, read message broker support options compared.
One partner, not five
Google Cloud Pub/Sub rarely fails in isolation. AceMQ covers the full surrounding infrastructure — so one team owns the whole path instead of pointing at each other.
Guides, articles and comparisons
Guides from AceMQ engineers on who supports each message broker in production, including Pub/Sub, plus the AceMQ services for Kafka, RabbitMQ and the other brokers and Google Cloud services that usually run next to it.
FAQs
Seven answers on Google Cloud Pub/Sub from AceMQ: pull or push, who answers when production fails, how an engagement starts, working with your team, throughput after enabling ordering, redelivery and dead-letter topics, and moving to or from Pub/Sub.
Still have questions about Google Cloud Pub/Sub? Email an Expert
Use pull when you want control over load, exactly-once delivery or batch-style consumers, and push when a managed HTTPS endpoint such as Cloud Run should receive messages directly. Pull failures hide behind flow control and ack deadlines, push failures behind endpoint errors. AceMQ reviews the response codes, deadlines and retry policy for whichever you run.
A named AceMQ senior engineer answers within 15 minutes, 24/7, when a Pub/Sub-based system is failing in production. Lower severities get a first response within 1 hour, 4 hours or the next day. Pub/Sub itself is run by Google, so AceMQ works on what you control: subscriptions, subscribers, IAM, quotas and the design around them.
An AceMQ Pub/Sub engagement starts with a free consultation with a senior engineer, booked in our reply within 1 hour. Next comes a topic and subscription assessment of 1 to 2 weeks covering ack deadlines, ordering keys, dead-letter policy, retention, subscribers and IAM. Written findings and a plan follow within a week, before anything changes.
Yes. AceMQ assigns a named senior engineer from its team of 11+ who works with your engineers rather than around them, changing subscription settings, client flow control and alerts together. Every change is staged per subscription and reversible, and you keep the runbooks for backlog recovery, dead-letter replay and subscriber scaling when the work is done.
Pub/Sub delivers messages with the same ordering key one after another, so a low-cardinality key such as a tenant, carrier or date turns a parallel subscription into a few serial streams. A failed publish with an ordering key also pauses that key in the client library until the application resumes it. AceMQ checks key distribution and publish error handling first.
Pub/Sub redelivers a message that is nacked or whose ack deadline passes. A dead-letter topic takes it out after 5 to 100 delivery attempts, but only if the Pub/Sub service agent can publish to that topic and acknowledge on the source subscription, and the topic needs its own subscription to keep what it receives. The attempt count is approximate.
Yes. The main translation is Kafka's partition ordering and consumer group offsets to Pub/Sub's ordering keys and subscription state, plus schema handling and consumer rework for the pull model. AceMQ runs the old and new side by side, cuts over flow by flow with a rollback, and says plainly when the current broker is the better fit.
Yes. AceMQ works on Google Cloud Pub/Sub 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 Google Cloud Pub/Sub 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 Google Cloud Pub/Sub is deployed, with aggressive discounts when several technologies share one contract. Request a quote and AceMQ replies within 1 hour.
Let's talk
Our senior GCP engineers handle architecture, migration, and production support for Pub/Sub at enterprise scale. Contact us today and get a response within 1 hour.
Production incident right now?Email a Google Cloud Pub/Sub 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.
