MuleSoft Consulting & Support

MuleSoft Consulting & Services for Enterprises

AceMQ engineers build and operate Mule applications on CloudHub, Runtime Fabric, and on-prem runtimes — and help teams move integrations off MuleSoft when the licensing math has stopped working. We take both engagements seriously.

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

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

Without a big-bang rewrite of every Mule applicationFor production incident cover, see AceMQ MuleSoft 24/7 support.

Customers

  • Microsoft
  • Henry Schein
  • Enbridge
  • Gojek

Partners

  • Broadcom
  • Redis
  • VMware Tanzu
  • OSSeva

The Problem

Why teams call us about MuleSoft

Eight MuleSoft problems that teams bring to AceMQ, from vCore bills that outgrow traffic and DataWeave scripts that load whole payloads to a Mule 3 to Mule 4 migration deferred every year. They cover CloudHub, Runtime Fabric and on-prem runtimes. If one describes your week, that is where the review starts.

  1. 01

    CloudHub is billed by vCore and the bill grows faster than the traffic behind it

  2. 02

    A DataWeave transform loads the whole payload into memory and fails on the largest files

  3. 03

    Applications are still on Mule 3 and the Mule 4 migration has been deferred every year since

  4. 04

    API policies are applied in API Manager and the same rules are also hard-coded inside flows

  5. 05

    Error handling differs per application, so a failure looks different depending on who built it

  6. 06

    Runtime Fabric was adopted but the operational model never moved across with it

  7. 07

    vCore entitlement is consumed by low-traffic applications that could run almost anywhere

  8. 08

    Exchange assets are out of date, so teams copy flows instead of reusing them

A good fit if business-critical integrations run on Mule and you want senior engineers who know DataWeave, streaming and worker-sizing failure modes, whether you are staying on MuleSoft or moving integrations off it.

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 MuleSoft.

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

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How it breaks, and the fix

What happens when one Mule flow buffers a large payload in memory?

When one Mule flow keeps a large payload in heap, every concurrent request holds its own copy. Memory fills, garbage collection stalls the worker, and every API in the same application stops answering, not just the one with the big response.

One buffered payload, one shared worker heap

API clients, one Mule worker, three flows in one application

Illustrative

  1. All three flows answer. Heap on the worker sits well under its limit, and garbage collection pauses are short.

  2. The search flow keeps a large response in memory and concurrent requests each hold a copy. Heap fills and the worker stalls in garbage collection, so orders and payments stop answering too.

  3. Repeatable file-store streaming moves the buffer to disk past a threshold, and DataWeave processes the search payload in bounded blocks. Heap stays low and all three flows keep answering.

A worker that restarts under load, with no application error in the log, is usually a streaming problem rather than a sizing problem. The default in-memory repeatable stream keeps a payload in heap once it outgrows the initial buffer. The fix is repeatable file-store streaming, DataWeave that avoids materialising the whole collection, and a worker sized from measured heap, not from the bill. AceMQ profiles the flow before changing vCores.

Our Services

MuleSoft Consulting & Services

AceMQ runs five MuleSoft service lines: Anypoint architecture and API-led design, DataWeave and runtime tuning, migration in and out of MuleSoft, managed operations, and a health check. A senior engineer leads each one, and any of them can roll into 24/7 support with a 15-minute SLA.

  • 01

    Anypoint Architecture & API-Led Design

    API-led connectivity only pays off if the system, process, and experience layers are genuinely separated. When they blur, you get three layers of cost and one layer of reuse.

    • System, process, and experience API layering with real reuse boundaries, not just naming conventions
    • Deployment model selection across CloudHub 2.0, Runtime Fabric, and customer-hosted runtimes
    • Anypoint Exchange asset strategy, RAML/OAS specification design, and API autodiscovery setup
    • Connector selection and custom connector development where no supported connector exists
  • 02

    DataWeave & Runtime Performance Tuning

    Mule performance problems concentrate in two places: DataWeave transformations that materialize whole payloads in memory, and thread pool settings nobody has revisited since the 3.x days.

    • DataWeave optimization with deferred and streaming reads so large payloads do not sit in heap
    • Streaming strategy and repeatable stream configuration tuned to real payload sizes
    • Thread pool, scheduler, and vCore sizing based on measured concurrency rather than default profiles
    • Batch job block size, error handling, and JVM heap and GC tuning for long-running Mule workers
  • 03

    MuleSoft Migration — In and Out

    Some teams need to modernize onto Anypoint. Others need out because licensing has outgrown the value. Both are real projects and we will tell you honestly which one your numbers describe.

    • Mule 3 to Mule 4 migration, including DataWeave 1.0 to 2.0 rewrites and connector replacement
    • CloudHub 1.0 to CloudHub 2.0 or Runtime Fabric migration with networking and secrets redesign
    • Migration off MuleSoft to Kong, Spring Boot, Camel, or event-driven patterns for licensing cost reduction
    • Integration-by-integration cutover with parallel running and reconciliation before decommissioning
  • 04

    Managed MuleSoft Operations

    Ongoing operational coverage for Mule applications and the runtime planes underneath them — with a named engineer who knows your flow topology when a nightly batch fails at 3 a.m.

    • 24/7 monitoring of application health, vCore utilization, and queue depth via Anypoint Monitoring
    • Runtime Fabric cluster operations on Kubernetes: upgrades, capacity, and certificate management
    • CI/CD for Mule applications with Maven, automated MUnit test execution, and promotion across environments
    • Named engineer on your account with a 15-minute emergency response SLA
  • 05

    MuleSoft Health Check & Assessment

    A structured review of the integration estate and what it costs to run — including which applications justify a Mule runtime and which are a scheduled script wearing an expensive jacket.

    • Application inventory with vCore consumption and cost attribution per integration
    • Flow and DataWeave review for memory pressure, missing streaming, and error handling gaps
    • Security review: secrets handling, TLS configuration, API policy coverage, and client credential hygiene
    • Written report with prioritized remediation steps plus a candid view of which integrations should leave the platform
  • 15 MIN SLA

    24/7 MuleSoft 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 MuleSoft support tiers

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

Contact Us

24/7 Support

MuleSoft Support When It Matters Most

AceMQ MuleSoft support gives you named senior engineers and a 15-minute first response when an integration stops moving data, 24/7. Lower severities get 1-hour, 4-hour and next-day responses. The same tiers apply to CloudHub, Runtime Fabric and customer-hosted runtimes.

  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 MuleSoft versions, with security fixes backported through OSSeva, so the upgrade happens on your schedule rather than the community's.

Compare MuleSoft support plans

How It Works

What actually happens next

An AceMQ MuleSoft engagement runs in four stages: a runtime and application assessment of 1 to 2 weeks, written findings within a week, changes made with your engineers application by application, then a handover with runbooks. Each stage ends in writing, so nothing changes before your team sees why.

1–2 weeks

Runtime and application assessment

We review worker and vCore allocation, application design, DataWeave memory behaviour, API Manager policy placement and your position on the Mule 3 to Mule 4 path across CloudHub, Runtime Fabric and on-prem runtimes.

Within a week

Written findings and plan

Prioritised findings with the reasoning attached, including where vCore is being spent on applications that do not need it.

Scoped per engagement

Implementation alongside your team

We rework flows, error handling and runtime allocation alongside your engineers rather than around them, application by application with rollback available.

Ongoing

Handover and optional cover

Runbooks for deployment, policy changes and runtime failure handling, plus 24/7 support with a 15-minute emergency SLA if you want it.

  • Written findings before any change
  • Every change staged application by application and reversible
  • 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 MuleSoft Results

MuleSoft work from AceMQ, each card linking to the full write-up: the integration estate, what AceMQ assessed or changed, and the result. They cover streaming and out-of-memory failures, worker restarts, estate assessment and licensing cost.

1 / 4 case studies

All use cases

Solutions

Every way AceMQ works with MuleSoft.

AceMQ covers MuleSoft end to end: integration consulting and migrations in either direction, 24/7 support and incident management, proactive monitoring, Anypoint operated in your own tenant or with the pieces around it run on AceMQ's infrastructure, and a fixed-price health check.

Projects

Build, fix or move MuleSoft

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 MuleSoft 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 MuleSoft for you.

Compare the four MuleSoft support tiers

Side by side

CloudHub 2.0, Runtime Fabric or customer-hosted Mule: what changes?

Mule applications run on CloudHub, on Runtime Fabric in your Kubernetes, or on runtimes you host yourself. The flows are the same Mule 4 code, but who runs the infrastructure and what fails first are different. AceMQ supports all three, and each row below answers one question about the choice.

CloudHub 2.0 compared with Runtime Fabric and customer-hosted Mule runtimes on infrastructure ownership, sizing, first failure, AceMQ cover and when each fits
QuestionCloudHub 2.0Runtime FabricCustomer-hosted runtimes
Who runs the infrastructure?MuleSoft runs it, so there are no clusters or servers for you to patch.You run the Kubernetes cluster it sits on, including upgrades and certificates.You run the servers, the JVM and the operating system.
What do you size?Replicas and their vCores, which is also what the licence counts.CPU and memory reservations against the capacity of the cluster.JVM heap, threads and disk on each server.
What tends to fail first?Replicas restarting under memory pressure from payloads held in heap.Deployments stuck pending when reservations cannot be met, or failing readiness probes.Patch drift, disk filling, and JVM settings nobody revisited.
What does AceMQ cover?The applications, flows, DataWeave, connectors and worker sizing you built on it.The applications plus the cluster layer: reservations, probes, storage and networking.The applications plus the host layer, including mixed estates.
Which Mule versions apply?Mule 4 runtimes on MuleSoft's current LTS and Edge channels.Mule 4 runtimes, upgraded as patch updates on the fabric.Any runtime you hold, including Mule 3.9 estates awaiting migration.
When does it fit?A team without Kubernetes skills that wants infrastructure work gone.A team already running Kubernetes that needs workloads inside its own network.Tightly regulated environments that cannot use a managed platform.

To see where each Mule runtime line stands and what AceMQ covers on it, use the version checker at the top of this page, or ask a senior engineer about your own estate.

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

Contact Us

One partner, not five

We Support Your Entire Tech Stack

MuleSoft 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 MuleSoft.

Reading and services from AceMQ engineers for MuleSoft estates: the support page for day-to-day cover, plus the AceMQ services for the gateways, brokers and Kubernetes platforms that sit beside Mule runtimes.

Related services

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

Contact Us

FAQs

MuleSoft Questions Answered

Seven answers on MuleSoft from AceMQ: supported Mule runtime versions, who answers when an integration stalls, how an engagement starts, Mule 3 to Mule 4, out-of-memory failures, cutting vCore cost, and CloudHub versus Runtime Fabric.

Still have questions about MuleSoft? Email an Expert

Which Mule runtime versions are supported, and when does support end?

Mule 4 ships as LTS releases each February and Edge releases up to three times a year. LTS gets at least 18 months of standard and 6 months of extended support: 4.9 LTS runs to August 2027 standard and February 2028 extended. Mule 3.9 reached end of life on 20 March 2024. AceMQ supports the runtime you run.

Who answers when a Mule integration stalls in production, and how fast?

A named AceMQ senior engineer answers within 15 minutes, 24/7, when an integration stops moving data. Lower severities get a first response within 1 hour, 4 hours or the next business day. The engineer who takes the first call stays on the case, and every P1 ends with a written root-cause analysis.

How does a MuleSoft consulting engagement with AceMQ start?

A MuleSoft engagement starts with a free consultation with a senior engineer, booked in our reply within 1 hour. A runtime and application assessment of 1 to 2 weeks follows, covering worker and vCore allocation, DataWeave memory behaviour, API Manager policies and your Mule 3 position. Written findings arrive within a week.

Can you help with the Mule 3 to Mule 4 migration?

Yes. It is not a version bump: DataWeave 1.0 to 2.0 is a rewrite, error handling changed and several connectors were replaced. AceMQ migrates application by application, writing MUnit tests against current behaviour first, so there is a reconciliation baseline and the migrated output can be compared with the old.

Why does our Mule application run out of memory on large payloads?

Almost always the streaming strategy. The default in-memory repeatable stream keeps a payload in heap once it outgrows the initial buffer, and each concurrent request holds its own copy. Repeatable file-store streaming, plus DataWeave that avoids materialising the whole collection, usually fixes it without adding vCores.

CloudHub, Runtime Fabric or customer-hosted: which should we use?

CloudHub 2.0 removes infrastructure work and suits teams without Kubernetes skills. Runtime Fabric suits teams that already run Kubernetes and need workloads inside their own network, but you take on cluster operations. Customer-hosted runtimes suit tightly regulated environments. AceMQ sizes the operating burden of each against the team you have.

Can we work with AceMQ on MuleSoft without a long contract?

Yes. AceMQ works on MuleSoft 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 MuleSoft support or consulting cost?

Every AceMQ proposal is tailored to your requirements: your MuleSoft 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 MuleSoft 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 Get Straight Answers About MuleSoft?

Whether you need architecture help, a performance pass, a migration partner in either direction, or ongoing managed operations — AceMQ staffs every engagement with a named senior engineer. Quote requests answered within 1 hour.

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

Production incident right now?Email a MuleSoft Architect

Get in Touch

Talk to a MuleSoft 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

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