01
Emergency Incident Response
Checkpoints failing cluster-wide, a job in a restart loop, or windows that stopped firing. A senior engineer joins a live bridge within 15 minutes.
Apache Flink Support
24/7 Apache Flink Support with a 15-Minute Emergency SLA
Last reviewed by Scott Sternloff
AceMQ supports Apache Flink in production — checkpoint timeouts under backpressure, RocksDB state growth without TTL, and savepoint restores that fail after an operator UID changed. Every ticket reaches a named senior engineer who reads the checkpoint history live.
Support quotes answered within 1 hour, by a senior engineer.
- min emergency SLA
- 15
- across Americas, EMEA, APAC
- 24/7
- enterprise customers
- 160+
- countries served
- 26+
Planning a build, upgrade or migration instead? See AceMQ Apache Flink consulting and services.
Customers
Partners
Incident Triage
Apache Flink problems we fix every week
These are real symptoms from real Apache Flink production environments — and the first thing our engineers check when one comes in.
| Symptom you're seeing | What we check first | Typical resolution |
|---|---|---|
| Checkpoints time out or fail under backpressure | Checkpoint duration breakdown — alignment vs. sync vs. async — in the Flink UI. RocksDB state backend on slow disk is the usual bottleneck when async checkpoint duration dominates. | 1–2 hours |
| Checkpoint duration grows steadily over days | State size growth per operator. A keyed operator missing state TTL lets state accumulate indefinitely instead of expiring, and checkpoint time grows in lockstep. | 1–3 hours |
| Event-time windows stop firing across the whole job | Per-partition watermark progress. One idle partition or source holds back the global watermark and stalls every downstream window, even ones with active data flowing. | 1–2 hours |
| Savepoint restore fails after a deployment | Operator UIDs against the savepoint's state metadata. Changing or auto-generating a new UID breaks the mapping between saved state and the new job graph. | 2–4 hours |
| TaskManager OOM under normal throughput | Unbounded state growth in a keyed operator — a ValueState that's never cleared — and whether managed memory is sized correctly for the state backend in use. | Under 2 hours |
| A sink claims exactly-once but downstream shows duplicates | Whether the sink connector actually supports two-phase commit. A non-transactional sink paired with Flink's checkpointing only achieves at-least-once regardless of configuration. | 1–3 hours |
| Job is stuck in a restart loop | The exception from the last failed attempt for a poison-pill event. A single malformed record can crash-loop a job indefinitely when there's no dead-letter handling. | Under 2 hours |
| Rescaling parallelism requires a full pipeline stop | Whether the deployment uses savepoint-based rescale versus expecting in-place elastic scaling. Flink rescaling is a stop-savepoint-restart operation by default, not live autoscaling, unless the Kubernetes operator's reactive mode is configured. | 2–4 hours |
Resolution times reflect typical Apache Flink engagements under an active AceMQ support contract. Every P1 closes with a written root-cause analysis.
What's Included
Everything in your Apache Flink support contract
No add-on pricing for incidents. No per-ticket charges. One contract covers the whole surface.
- 02
Root Cause Analysis
Every P1 closes with a written RCA: what failed, why, the fix applied, and the configuration change that prevents recurrence.
- 03
Checkpoint & State Backend Tuning
RocksDB configuration, state TTL policy, and checkpoint interval tuning matched against your actual state size and throughput.
- 04
Watermark & Event-Time Pipeline Review
Source and partition design review to catch idle-partition watermark stalls before they silently freeze every downstream window.
- 05
Exactly-Once Sink Validation
Connector-by-connector review of whether your sinks actually support two-phase commit, so 'exactly-once' in the config matches exactly-once in production.
- 06
Migration & Upgrade Support
Flink version upgrades with savepoint compatibility testing, and rescaling strategy design for jobs that need to grow without a lossy restart.
Why AceMQ
What you get that you don't get elsewhere
Named Engineers Who Live in Checkpoint Internals
The same senior engineers stay on your account. They know your state size, your checkpoint interval, and your watermark strategy — so a P1 starts with the checkpoint history, not you re-explaining your job graph.
No Tier-1 Triage Layer
You reach a senior Flink engineer directly by phone, email, or Slack. No help desk, no escalation approval process standing between you and a fix.
Streaming and Batch, Both Deeply
We support Flink alongside Spark, which means we think in the same terms for streaming and batch compute rather than treating them as unrelated disciplines.
Full-Stack, Not Just the Job Graph
Flink problems are frequently disk I/O, network, or Kafka-side problems wearing a checkpoint timeout. We diagnose across the whole path, including the state backend's underlying storage.
Genuine Follow-the-Sun Coverage
Engineers across 26+ countries and every time zone. Your 3am restart loop is someone's mid-afternoon — no overnight skeleton crew.
Proactive, Not Just Reactive
Quarterly health checks on state growth trends and checkpoint duration so a slow creep toward failure gets caught before it becomes an incident.
We support Apache Flink wherever it's deployed
Cloud, Kubernetes, bare metal, hybrid, and air-gapped — including environments where you can't give us outbound network access.
- Kubernetes (Flink Kubernetes Operator)
- Amazon Managed Service for Apache Flink
- AWS EMR
- Self-managed & Confluent Kafka sources
- YARN
- Standalone clusters
- RocksDB state backend
- Hybrid cloud
- On-premise & bare metal
- Flink 1.x (DataStream & Table API)
Escalation Path
Your first hour of an Apache Flink outage
Every tier reaches a senior Apache Flink engineer. There is no tier-1 triage layer to get through.
- 15 minfirst responseEmergencyProduction down, messages not flowing, queue manager failure
- 1 hourfirst responseCriticalSevere degradation, high error rates, approaching capacity
- 4 hoursfirst responseHighPerformance issues, configuration problems, non-critical failures
- Next Dayfirst responseStandardQuestions, guidance, best practices, non-urgent improvements
P1 escalation path
A replay of one P1, from the first page to the written root-cause analysis
T+Elapsed15:00
15-minute P1 response, 24/7.
A response time, not a resolution time.
- T+00:00Paged
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.
- T+15:00Live
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.
- T+30:00If needed
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.
- AfterEvery P1
Written root-cause analysis
Root cause, the fix applied and the prevention steps, delivered after every P1.
Pricing
What does AceMQ Apache Flink support cost?
AceMQ Apache Flink 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
Apache Flink problems we've already solved
Apache Flink support and remediation work from AceMQ. Each card links to the full write-up: the streaming jobs, what AceMQ diagnosed or changed, and the result.
Apache Flink Checkpoint Timeout Remediation
Global Payments Processor
Resolving checkpoint timeouts under backpressure where RocksDB state has grown past what the configured checkpoint interval can absorb.
Apache Flink
Apache KafkaRocksDB
KubernetesApache Flink Watermark and Idle Partition Support
Connected Vehicle Telematics Provider
Diagnosing event-time windows that stop firing because a single idle source partition holds the watermark back across the whole job.
Apache FlinkApache KafkaKubernetesApache Flink Streaming Readiness Assessment
Smart Grid Technology Provider
Evaluating whether a proposed streaming workload belongs on Flink, and what the exactly-once, state, and operational requirements will really cost.
Apache FlinkApache KafkaKubernetes
RedpandaApache Flink State Backend and Scaling Design
Online Fraud Detection Platform
Designing state backend, key partitioning, and rescaling strategy for large-state Flink jobs that must restart without hours of downtime.
Apache FlinkRocksDBApache KafkaKubernetesRedpanda Migration from Apache Kafka
Global Payments Processor
Migrating from Kafka to Redpanda with client compatibility testing, ACL and schema registry translation, and a staged cutover per topic.
RedpandaApache KafkaKubernetesApache Flink
Support options
Four tiers of Apache Flink support.
AceMQ offers Apache Flink support in four tiers, each handing more of the day-to-day work to AceMQ: 24/7 support and incident management for jobs your team runs, proactive monitoring that catches checkpoint, state and CVE problems first, managed Flink on your own infrastructure, and fully managed Flink on AceMQ infrastructure. Kubernetes, YARN and standalone deployments are covered in all four.
- Tier 1
Apache Flink 24/7 Support & Incident Management
You run it, we back you up
- 15-minute P1 response, 24/7, by phone, email or Slack
- Diagnosis from checkpoint history, backpressure and task manager logs
- Recovery from the last good savepoint where state is at risk
Best for: Teams that run Flink themselves and need senior cover when a job will not stay up.
- Tier 2
Apache Flink 24/7 Support with Proactive Monitoring
You run it, we watch it with you
- Scheduled reviews of checkpoint duration, state size and TTL
- CVE and known-bug alerts for your exact Flink version
- Watermark, idle-source and sink guarantee checks
Best for: Job estates where a slow creep in checkpoint time must be caught before it becomes an outage.
- Tier 3
Managed Apache Flink on Your Infrastructure
We run it in your cloud or data centre
- AceMQ runs day-2 operations and holds the pager
- Runs on your Kubernetes, YARN or standalone clusters
- Savepoint-based upgrades and rescaling rehearsed before production
Best for: Regulated estates that must keep streaming state and data inside their own boundary.
- Tier 4
Fully Managed Apache Flink on AceMQ Infrastructure
We host it and run it, as a service
- Hosted and operated by AceMQ, sized to your workload
- Checkpoint and savepoint storage managed for you
- Upgrades and rescaling managed to an agreed plan
Best for: Teams that want to run Flink jobs without owning clusters, state storage or a rota.
| 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 Apache Flink 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 Apache Flink
Everything else AceMQ does for Apache Flink.
Support is one part of what AceMQ does for Apache Flink. The same engineers deliver consulting, health checks, migrations and end-of-life cover, and support the systems that usually run next to it.
- ConsultingApache Flink consulting and services
- LifecycleEnd-of-life software support
- Enterprise supportOpen source support across your whole stack
- GuideApache Flink guide
Support for the rest of your stack
Messaging & Streaming
- RabbitMQ supportMessaging & Streaming
- Apache Kafka supportMessaging & Streaming
- IBM MQ supportMessaging & Streaming
- ActiveMQ supportMessaging & Streaming
- Azure Service Bus supportMessaging & Streaming
- Amazon SQS supportMessaging & Streaming
- Google Cloud Pub/Sub supportMessaging & Streaming
- Redpanda supportMessaging & Streaming
- Apache Pulsar supportMessaging & Streaming
- Message Queuing supportMessaging & Streaming
Databases & Caching
Search & Analytics
Lakehouse & Compute
Observability & Monitoring
Data Integration
Cloud & Containers
API Management
See support for all 51 technologiesShow fewer
Related services
What does AceMQ Apache Flink support include?
Our Flink support covers 24/7 emergency incident response with a 15-minute SLA, root cause analysis on every P1, checkpoint and state backend tuning, watermark and event-time pipeline review, exactly-once sink validation, and migration or upgrade support. Every ticket reaches a named senior engineer with no tier-1 triage layer.
Can you diagnose checkpoint timeouts and failures?
Yes, this is one of the most common Flink issues we see. We start with the checkpoint duration breakdown in the Flink UI to separate alignment time from sync and async checkpoint time, since a slow RocksDB disk under backpressure looks very different from a genuinely oversized state.
Why do our event-time windows sometimes stop firing?
Almost always a single idle partition or source stalling the global watermark, since Flink's watermark advances at the pace of the slowest input by default. We check per-partition watermark progress to find the stalled source and configure idle-source detection so it stops holding back the whole job.
Do you actually validate that our sinks are exactly-once?
Yes. Configuring exactly-once semantics doesn't guarantee a sink honors it — a connector needs genuine two-phase commit support to avoid duplicates on restart. We review your sink connectors specifically to confirm the configuration matches what the connector can actually deliver.
Can you help with savepoint restore failures after a deployment?
Yes. Savepoint restore failures almost always trace to operator UID changes between deployments, which break the mapping between saved state and the new job graph. We review UID assignment as part of deployment process design, not just after something breaks.
How fast do you respond to a Flink production outage?
P1 emergencies — checkpoints failing cluster-wide, a job stuck in a restart loop — 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 targets.
What is Apache Flink, and what does the Apache Flink community offer for support?
Apache Flink is a stream processing framework for stateful computations over unbounded and bounded data streams, from the Apache Software Foundation. Flink applications are written against the DataStream API, the Table API or SQL, in Java, Scala or Python, and usually read from and write to Kafka through Flink connectors, with checkpoints and savepoints providing exactly-once state management and real-time results. The Apache Flink community supports only the current and previous minor release with bug fixes, and offers help through the user mailing list, Slack and Stack Overflow, where committers answer when they can. That is help, not support. AceMQ provides the contract the project does not: 24/7 response with a 15-minute emergency SLA for self-managed Flink on Kubernetes or YARN, and job-level support for Flink applications on managed services such as Amazon Managed Service for Apache Flink and Confluent.
Which Flink versions are covered, and can you help with the move to Flink 2.x?
Any version, including 1.x releases the community no longer patches; Flink 1.20 is the long-term support release for the 1.x line, and 2.x is current. Flink 2.0 removed the DataSet API, the Scala APIs, the legacy source and sink interfaces and many old configuration keys, and requires a newer Java version, so the migration touches application code, not only the cluster. Jobs on the DataStream API with the new source and sink interfaces move most easily; DataSet jobs need rewriting to DataStream in batch mode or to the Table API. State compatibility is not guaranteed for every job, so we plan a savepoint-based migration test and, where that fails, a dual-run cutover with the old job draining while the new one catches up.
Can we work with AceMQ on Apache Flink without a long contract?
Yes. AceMQ works on Apache Flink 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.
How much does AceMQ Apache Flink support or consulting cost?
Every AceMQ proposal is tailored to your requirements: your Apache Flink 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 Apache Flink is deployed, with aggressive discounts when several technologies share one contract. Request a quote and AceMQ replies within 1 hour.
Let's talk
A Stalled Watermark Shouldn't Freeze Your Whole Pipeline
Reactive cover, proactive reviews, or AceMQ running Apache Flink for you on your infrastructure or ours. A senior engineer scopes it with you, and quote requests are answered within 1 hour.
A senior Apache Flink engineer, not a sales queueQuote requests answered within 1 hourAd hoc engagements or an annual partnership
Production incident right now?Email an Apache Flink Architect
Get in Touch
Talk to an Apache Flink Expert
Send us a message and we'll follow up within 1 hour — or book a free 30-min consultation directly.
305-204-2607info@acemq.com66 W. Flagler St. 9th Floor
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Miami, FL 33130
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