Apache NiFi Consulting & Support

Apache NiFi Consulting & Services for Enterprises

AceMQ engineers design NiFi flows the way NiFi is meant to be used — dataflow-oriented, not code forced into a canvas. We cover cluster capacity planning, security hardening, and the visual-flow migrations that get teams off scripts for good.

A senior engineer, not an SDR. No sales sequence attached.

Senior SMEs
11+
Emergency SLA
<15min
Customers
160+
Countries Served
26+

Without rewriting your flows as application codeFor production incident cover, see AceMQ Apache NiFi 24/7 support.

Customers

  • Microsoft
  • Henry Schein
  • Enbridge
  • Gojek

Partners

  • Broadcom
  • Redis
  • VMware Tanzu
  • OSSeva

The Problem

Why teams call us about Apache NiFi

Eight Apache NiFi problems teams bring to AceMQ, from a content repository that fills and stops the whole flow to back pressure on one connection, cluster nodes that disconnect under load and provenance retention nobody set. If one describes your week, that is where the review starts.

  1. 01

    The content repository fills and the whole flow stops rather than degrading gracefully

  2. 02

    Back pressure on one connection stalls processors that have nothing to do with it

  3. 03

    The canvas has grown to hundreds of processors and nobody can say what a change will affect

  4. 04

    Cluster nodes disconnect under load and flow files are stranded on the node that dropped

  5. 05

    Provenance retention was left at the default and the repository now dominates disk use

  6. 06

    Flows were built by clicking and there is no version-controlled record of what changed or when

  7. 07

    Sensitive properties live in the flow definition and the key rotation process is unclear

  8. 08

    Processor concurrency was raised to clear a backlog and the node is now CPU-starved

A good fit if you run Apache NiFi in production, as a cluster you manage or on Cloudera DataFlow, and want senior engineers who 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 Apache NiFi.

Running Apache NiFi in production? Get a quote from a senior engineer, answered within one hour.

Contact Us

How it breaks, and the fix

What happens to your data when one NiFi processor stalls and its queue fills?

When a NiFi processor stalls, the connection in front of it fills until back pressure halts the processors upstream, and the flow goes quiet rather than loud. If thresholds were raised to clear an earlier backlog, the content repository fills instead and the node runs out of disk.

One stalled processor, a full queue

Consume, two branches, a database writer and a warehouse

Illustrative

  1. ConsumeKafka feeds two branches that both reach PutDatabaseRecord. Queues stay short, back pressure thresholds match the repository disks, and the content repository sits well below its limit.

  2. The enrichment API behind InvokeHTTP starts timing out. Its failure relationship loops back with no limit, the queue in front of it fills, back pressure stops ConsumeKafka, and the writer starves. Nobody is paged: the flow just goes quiet.

  3. Failures retry a set number of times with a penalty, then go to a monitored dead-letter queue. Back pressure matches the disk, queue depth alerts reach a person, and the backed-up branch is drained and replayed from provenance.

A flow that stalls quietly is one of the reasons teams call AceMQ about NiFi. The fix is design: back pressure object and size thresholds matched to repository disk, bounded retry with a penalty duration and a dead-letter path for failures, the content, FlowFile and provenance repositories on separate volumes, bulletin and queue-depth alerts routed to a person, and a runbook for draining a queue and replaying FlowFiles from provenance. AceMQ also checks heap size against FlowFile attribute volume and concurrent-task settings, so clearing one backlog does not starve the node.

Our Services

Apache NiFi Consulting & Services

AceMQ runs six Apache NiFi service lines: flow architecture and design, cluster architecture and capacity planning, migration from scripts and legacy ETL, security hardening and managed operations, a structured upgrade and health assessment, and the NiFi 2.0 upgrade. A named senior engineer leads each one, and any can roll into 24/7 support.

  • 01

    Flow Architecture & Design

    NiFi rewards flows designed around its processor and connection model. We build process groups and controller services that stay maintainable as the flow grows.

    • Dataflow-oriented flow design using NiFi's visual processor model instead of forcing code-oriented patterns onto it
    • Process group structuring and controller service scoping for reusable, maintainable flow templates
    • Backpressure and prioritization configuration across connections to prevent queue buildup under load
    • Flow versioning with NiFi Registry for change tracking and environment promotion
  • 02

    Cluster Architecture & Capacity Planning

    High-throughput NiFi flows live or die on repository disk I/O and node sizing. We plan capacity against your actual sustained throughput, not a burst estimate.

    • NiFi cluster sizing and node capacity planning for sustained high-throughput flows
    • Zero-Master clustering configuration and load-balancing strategy across connections
    • Content, FlowFile, and provenance repository disk I/O tuning across separate volumes
    • Thread pool and concurrent-task tuning per processor to eliminate flow bottlenecks
  • 03

    Migration to NiFi's Visual Flow Model

    Teams moving off a legacy ETL tool or a pile of shell scripts get a visible, auditable dataflow instead of logic buried in a script nobody wants to touch.

    • Migration from legacy ETL tools or hand-rolled shell/Python scripts to NiFi's visual dataflow model
    • Custom processor development for source and target systems without a native NiFi processor
    • Parallel-run validation to confirm data parity before decommissioning legacy pipelines
    • Flow template design that preserves institutional logic while making it visible and auditable
  • 04

    Security Hardening & Managed Operations

    Regulated data flows need more than a working pipeline — they need enforced multi-tenant authorization and lineage you can hand to an auditor.

    • TLS and multi-tenant authorization hardening using NiFi's fine-grained policy model for regulated data flows
    • Data provenance and lineage tracking design to meet compliance and audit requirements
    • 24/7 incident response for stalled flows, backpressure deadlocks, and cluster node desync
    • Certificate rotation and secure keystore/truststore management across cluster nodes
  • 05

    NiFi Upgrade & Health Assessment

    A structured review of your flow inventory and upgrade posture — delivered as a written report your team can act on, including 1.x-to-2.x breaking changes.

    • Flow inventory audit for anti-patterns, orphaned process groups, and unbounded queue growth
    • Upgrade path assessment from NiFi 1.x to 2.x, including custom processor compatibility (Java 21, removed deprecated components, XML templates replaced by JSON flow definitions)
    • Provenance repository size and retention configuration review
    • Written report with prioritized remediation covering flow reliability, security posture, and upgrade risk
  • 06

    NiFi 2.0 Upgrade

    Apache's migration guidance says a move to NiFi 2.0.0 starts from NiFi 1.27.0, runs on Java 21 and drops components that were deprecated in the 1.x line. We plan the upgrade around what your flows actually use.

    • Java 21 runtime: NiFi 2.x requires it, so hosts, container images and any custom processors built for an older Java are checked before the upgrade date
    • Deprecated components and features removed in 2.0.0: we match your processors and controller services against Apache's deprecation list, and replace the ones you rely on, such as XML flow templates with JSON flow definitions and the variable registry with parameter contexts
    • Flow migration: first upgrade to NiFi 1.27.0, move the flow configuration from flow.xml.gz to flow.json.gz, then step to 2.0 with the flow tested against a copy of production
    • Custom processors and NARs: rebuilt for the 2.0 APIs, including the jakarta.servlet move and the Markdown additional-details format, with a rollback plan for each cluster node
  • 15 MIN SLA

    24/7 Apache NiFi Support

    Named senior engineers on your account — 15-minute emergency response, no ticket routing, no junior triage.

    • 15-minute emergency response SLA
    • Named engineer, zero cold-start
    • Proactive CVE & health monitoring
    • Quarterly deployment reviews
    Compare the four Apache NiFi support tiers

Want AceMQ to take this off your team's plate? Tell us about your Apache NiFi estate.

Contact Us

24/7 Support

Apache NiFi Support When It Matters Most

AceMQ NiFi support gives you a named senior engineer and a 15-minute first response when a node drops, a disk fills or a critical flow stops, 24/7, on self-managed clusters or Cloudera DataFlow. Lower severities get 1-hour, 4-hour and next-day responses, and every P1 ends with a written root-cause analysis.

  1. 15 minfirst responseEmergencyProduction down, messages not flowing, queue manager failure
  2. 1 hourfirst responseCriticalSevere degradation, high error rates, approaching capacity
  3. 4 hoursfirst responseHighPerformance issues, configuration problems, non-critical failures
  4. 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

SLA 15:00
T+Elapsed15:00
Engineer on your bridge

15-minute P1 response, 24/7.
A response time, not a resolution time.

  1. T+00:00

    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.

    Paged
  2. T+15:00

    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.

    Live
  3. T+30:00

    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.

    If needed
  4. After

    Written root-cause analysis

    Root cause, the fix applied and the prevention steps, delivered after every P1.

    Every P1

How Our Support Actually Works

Beyond SLAs — the model behind senior-only, zero-cold-start expert access.

  • Named Engineers on Your Account

    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.

  • Live Escalation on Any Ticket

    Any ticket can be escalated to a live session with your named engineer via calendar booking. No gatekeeping, no approval required — direct access, always.

  • Proactive Risk Mitigation

    Quarterly health checks on your deployment plus shared intelligence from 50+ support customers — we surface risks before they reach production.

  • Critical Bug & CVE Intelligence

    Proactive alerts on critical bugs and CVEs affecting your exact version, with version compliance monitoring so you're never caught off guard.

  • Commercial EOL Versions

    Commercial support for end-of-life Apache NiFi versions, with security fixes backported through OSSeva, so the upgrade happens on your schedule rather than the community's.

Compare Apache NiFi support plans

How It Works

What actually happens next

An AceMQ NiFi engagement runs in four stages: a flow and cluster assessment of 1 to 2 weeks, written findings within a week, changes made alongside your team one process group at a time, then a handover with runbooks for repository pressure, node recovery and flow deployment.

1–2 weeks

Flow and cluster assessment

We review canvas structure and process groups, back pressure thresholds, repository sizing and retention, processor concurrency, cluster node balance and how sensitive properties are handled.

Within a week

Written findings and plan

Prioritised findings with the reasoning attached, including which parts of the canvas should be split, versioned in Registry, or retired.

Scoped per engagement

Implementation alongside your team

We restructure flows, repository configuration and cluster settings with your engineers rather than around them, one process group at a time and reversible.

Ongoing

Handover and optional cover

Runbooks for repository pressure, node recovery and flow deployment through Registry, plus 24/7 support with a 15-minute emergency SLA if you want it.

  • Written findings before any change
  • Flow changes tested on a copy of production
  • Your engineers in the room
  • You keep the runbooks
  • Ad hoc engagements or an annual partnership

A senior engineer, not an SDR. No sales sequence attached.

Customer Success

Real Apache NiFi Results

AceMQ case studies where Apache NiFi was part of the estate, from content repository back pressure to cluster node disconnects and flow design. Each one links to the full write-up: the environment, what AceMQ assessed or changed, and the result.

1 / 4 case studies

  • Remediation

    Apache NiFi Content Repository Remediation

    Regional Utility Operator

    Recovering NiFi nodes where the content repository has filled because a backpressured downstream processor has no queue limits in front of it.

    Apache NiFiApache KafkaApache Hadoop
    Read case study : Apache NiFi Content Repository Remediation
  • Consulting

    Apache NiFi Flow Design and Modernization

    Industrial Automation Manufacturer

    Restructuring sprawling NiFi canvases into versioned, parameterized, testable flows with a promotion path across environments.

    Apache NiFiNiFi RegistryApache KafkaKubernetes
    Read case study : Apache NiFi Flow Design and Modernization
  • Assessment

    Apache NiFi Dataflow Assessment

    Life Sciences Technology Company

    Assessing a NiFi estate for throughput headroom, provenance and audit coverage, security posture, and which flows belong on NiFi at all.

    Apache NiFiApache KafkaApache AirflowKubernetes
    Read case study : Apache NiFi Dataflow Assessment
All use cases

Solutions

Every way AceMQ works with Apache NiFi.

AceMQ covers Apache NiFi end to end: flow and cluster consulting, 24/7 support and incident management, proactive monitoring, managed NiFi on your infrastructure or on AceMQ's, commercial support for NiFi 1.x, a fixed-price health check and the NiFi 2.0 upgrade.

Projects

Build, fix or move Apache NiFi

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

Keep Apache NiFi running

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 Apache NiFi for you.

Compare the four Apache NiFi support tiers

Side by side

Managed NiFi or a cluster you run: what do you still own?

A managed NiFi service such as Cloudera DataFlow runs the cluster infrastructure and upgrades for you. A cluster you run yourself on VMs, bare metal or Kubernetes leaves all of that with your team. Either way, flow design, back pressure, provenance retention and custom processors stay with you, and that is the layer AceMQ covers.

Managed NiFi compared with a self-run NiFi cluster on who runs the nodes, versions, end of support, incidents, cost shape and exit
QuestionManaged NiFi (such as Cloudera DataFlow)Self-run cluster (VMs, bare metal, Kubernetes)
Who runs the nodes, repositories and upgrades?The service provider, within the limits of its platform.Your team, or a specialist on call.
Which NiFi versions and processors can you use?The versions and components the provider supports, which you check against your flows.Any release, including the custom processors and NARs you build.
What happens to NiFi 1.x?Apache ended NiFi 1.x support on 8 December 2024. Which versions a managed service still runs is its decision, so check yours.The cluster keeps running but gets no upstream fixes. Plan the move to NiFi 2.x, which needs Java 21.
Who answers when a flow stalls?The provider's support covers the platform. Back pressure settings, queue growth, provenance retention and thread pools stay with your team.Your team, or AceMQ: a named senior engineer, 24/7, a 15-minute emergency response and a written root-cause analysis for every P1.
What does it cost?Platform and usage charges from the provider, plus the engineers who build the flows.Your own infrastructure, plus a support contract priced on the cover you need.
How do you leave?Export flow definitions, then rebuild parameter contexts, secrets and any provider-specific settings.Nothing to exit. Flow definitions, Registry and runbooks are yours.

For who supports NiFi 1.x and 2.x and what each covers, read Apache NiFi support options compared.

Not sure which option fits? A senior Apache NiFi engineer will scope it with you.

Contact Us

One partner, not five

We Support Your Entire Tech Stack

Apache NiFi rarely fails in isolation. AceMQ covers the full surrounding infrastructure — so one team owns the whole path instead of pointing at each other.

Messaging & Streaming

Databases & Caching

Search & Analytics

Lakehouse & Compute

Observability & Monitoring

Data Integration

Cloud & Containers

API Management

VMware Tanzu

See all 51 technologies we supportShow fewer

Guides, articles and comparisons

Go deeper on Apache NiFi.

Guides from AceMQ engineers on who supports Apache NiFi after NiFi 1.x reached end of support, plus the AceMQ services for the messaging, streaming and orchestration platforms that usually run next to NiFi.

Related services

Ready to talk Apache NiFi? Get a quote or send us a message.

Contact Us

FAQs

Apache NiFi Questions Answered

Eight answers on Apache NiFi from AceMQ: NiFi 1.x end of support, who answers when a flow or node fails, full disks, node disconnects, Cloudera DataFlow, managed or self-run, moving off scripts, and how an engagement starts.

Still have questions about Apache NiFi? Email an Expert

NiFi 1.x is out of support. What should we do?

Apache ended NiFi 1.x support on 8 December 2024, and 1.28 is the last 1.x minor release. NiFi 2.x is the supported line. The move starts from NiFi 1.27.0, needs Java 21 and removes components that were deprecated in 1.x. AceMQ inventories your flows and custom processors, rehearses the upgrade on a copy of production, and supports 1.x until cutover.

Who answers when a NiFi flow stops or a node fails, and how fast?

A named AceMQ senior engineer answers within 15 minutes, 24/7, when a node goes down, a disk fills or a business-critical flow stops, on self-managed clusters or Cloudera DataFlow. Lower severities get a first response within 1 hour, 4 hours or the next business day, and the engineer stays until the root cause is documented.

A NiFi node keeps filling its disk. What is usually wrong?

Usually a stalled or failing downstream processor combined with back pressure thresholds that were raised, or provenance kept longer than the disk allows. AceMQ checks which connection is backed up, repository sizes and retention first, and whether the content, FlowFile and provenance repositories share a volume. Separate volumes and honest thresholds fix most repeats.

Why do NiFi cluster nodes keep disconnecting under load?

Usually heartbeat and election timeouts that do not match real network latency and load, so healthy nodes are marked disconnected and rejoin repeatedly. Long garbage collection pauses from undersized heap cause the same symptom. AceMQ reads coordinator logs and GC data together, then tunes timeouts and heap against your actual conditions instead of the defaults.

Does AceMQ support Cloudera DataFlow as well as self-run NiFi?

Yes, alongside clusters on VMs, bare metal, Kubernetes and OpenShift, and MiNiFi at the edge. A managed service removes node and upgrade operations but not flow design, back pressure, provenance retention or thread pool sizing, which cause most incidents and are where AceMQ spends most of its diagnostic time.

Managed NiFi or self-run: how do we choose?

It depends on your platform team's capacity, compliance and network rules, and how much control you need over versions and custom processors. A managed service takes node operations away. A self-run cluster keeps control and puts upgrades and capacity on you. AceMQ compares both against your sustained throughput and states the trade-offs plainly.

Can you move us from scripts or a legacy ETL tool onto NiFi?

Yes. AceMQ replaces shell and Python scripts or a legacy ETL scheduler with NiFi flows that are visible and auditable, builds custom processors where no native one exists, and runs both pipelines in parallel until row counts and checksums match. Only then is the old pipeline switched off.

How does a NiFi engagement start, and how do you work with our team?

It starts with a scoping call booked in our reply within 1 hour, then a 1 to 2 week assessment of the canvas, repositories and cluster. Findings are written up within a week and changes are made alongside your engineers, one process group at a time. You keep the runbooks, and ongoing support is optional.

Can we work with AceMQ on Apache NiFi without a long contract?

Yes. AceMQ works on Apache NiFi 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 NiFi support or consulting cost?

Every AceMQ proposal is tailored to your requirements: your Apache NiFi 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 NiFi is deployed, with aggressive discounts when several technologies share one contract. Request a quote and AceMQ replies within 1 hour.

Let's talk

Ready to Stabilize Your NiFi Dataflows?

Whether you need emergency support, a health check, a legacy-script migration, or ongoing managed operations — AceMQ staffs every engagement with a named senior engineer. Quote requests answered within 1 hour.

A senior NiFi engineer, not a sales queueAbout your flows, not a pitch deckQuote requests answered within 1 hour

Production incident right now?Email an Apache NiFi Architect

Get in Touch

Talk to an Apache NiFi Expert

Send us a message and we'll follow up within 1 hour — or book a free 30-min consultation directly.

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

Prefer to talk now? Call us directly or use the consultation tab to find a time that works.

We respond within 1 hour.

Pick a time that works — no pressure, no pitch. Just 30 minutes with an expert.

We respond within 1 hour.