Azure Functions Consulting & Support

Azure Functions Consulting & Services for Enterprises

AceMQ engineers build event-driven workloads on Azure Functions with Service Bus and Event Hubs triggers, and operate the messaging layer underneath them. We pick the right hosting plan, tune scaling, and fix orchestrations that stall in production.

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

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

Without abandoning the Functions model or rebuilding on a different Azure serviceFor production incident cover, see AceMQ Azure Functions 24/7 support.

Customers

  • Microsoft
  • Henry Schein
  • Enbridge
  • Gojek

Partners

  • Broadcom
  • Redis
  • VMware Tanzu
  • OSSeva

The Problem

Why teams call us about Azure Functions

Eight Azure Functions problems teams bring to AceMQ, from Consumption plan limits on VNet and fixed IPs and Durable orchestrations that stall to Service Bus triggers that cycle poison messages and runtimes past end of support. If one describes your week, that is where the review starts.

  1. 01

    The Consumption plan scales out well until the workload needs a fixed outbound IP or VNet integration

  2. 02

    Durable Functions orchestrations stall part-way through and the history table gives no clear answer

  3. 03

    Cold starts on the Consumption plan break the response time the API contract promised

  4. 04

    A Service Bus trigger keeps abandoning messages and the same payload cycles for hours

  5. 05

    Scaling still runs on the target-based defaults because nobody has tuned them for this workload

  6. 06

    Event Hubs checkpointing is misconfigured, so a restart reprocesses a day of events

  7. 07

    Premium plan instances were sized during a launch and have never been revisited since

  8. 08

    Part of the estate is on a runtime version that is out of support and the migration keeps slipping

A good fit if you run business-critical event-driven workloads on Azure Functions, fed by Service Bus or Event Hubs, 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 Azure Functions.

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

Contact Us

How it breaks, and the fix

What happens when a slot swap carries the wrong settings into production?

A deployment slot swap exchanges two running copies of a function app, settings included, unless a setting is marked as a slot setting. If a connection string is not sticky, production starts reading the staging queue and calling the staging API.

A swap that moves settings with the code

One swap, one production slot, three triggers

Illustrative
  1. Production runs the current build with its own settings. The HTTP, Service Bus and timer triggers all fire, and the queue drains as fast as messages arrive.

  2. The swap succeeds, but the downstream API address and the Service Bus connection were not marked as slot settings and moved with the staging copy. HTTP calls now reach the test API, the Service Bus trigger listens to the staging queue while the production queue grows, and only the timer trigger still looks fine.

  3. The swap is reversed, which restores the last known good build. Event-source and endpoint settings are marked as deployment slot settings before the next swap, the staging slot is warmed first, and the swap waits on a health check.

A swap that carries the wrong settings is one of the reasons teams call AceMQ about Azure Functions. Slots make rollback a second swap, but they do not guarantee zero downtime: running executions can be terminated during a swap, and slots only exist on some plans. Consumption allows two, Premium three, Dedicated up to twenty, and Flex Consumption none, using rolling updates instead. The fix is configuration and design: mark event-source and endpoint settings as slot settings before swapping, keep functions idempotent so a redelivered message is harmless, give the staging slot its own queues and storage, and gate the swap on a health check. AceMQ reviews your slots, settings and triggers.

Our Services

Azure Functions Consulting & Services

AceMQ runs five Azure Functions service lines: architecture and hosting plan selection, scaling and performance tuning, migration to Functions, managed operations, and a structured health check. A senior engineer leads each one, and any of them can roll into 24/7 support with a 15-minute emergency SLA.

  • 01

    Azure Functions Architecture & Implementation

    Hosting plan choice sets your cold start behavior, networking options, and cost floor for the life of the workload. We make that call against your latency and connectivity requirements, not a default.

    • Consumption, Premium, Flex Consumption, and Dedicated plan selection with the cold start and cost tradeoffs written down
    • Service Bus, Event Hubs, Storage Queue, and Event Grid trigger design with correct prefetch and batch settings
    • Durable Functions orchestration patterns: fan-out/fan-in, function chaining, and human-interaction timeouts
    • Isolated worker model migration and runtime version planning for .NET, Java, Python, and Node.js functions
  • 02

    Scaling & Performance Tuning

    Functions scaling is driven by the trigger, not the function. When throughput plateaus, the answer is usually in host.json concurrency settings or partition counts rather than in the code.

    • host.json concurrency tuning: maxConcurrentCalls, prefetch count, and batch settings per trigger type
    • Event Hubs partition and consumer group design so scale-out is not capped by partition count
    • Cold start reduction via Premium plan pre-warmed instances, package size trimming, and lazy initialization
    • Scale controller behavior analysis for target-based scaling, including scale-in thrash during bursty load
  • 03

    Migration to Azure Functions

    Most Functions migrations start with a WebJob, a Windows scheduled task, or an on-prem batch job that nobody wants to own. We move them without carrying the old failure modes across.

    • WebJobs and Windows scheduled task migration to timer- and queue-triggered functions
    • On-prem batch job modernization with Durable Functions replacing bespoke orchestration and state files
    • In-process to isolated worker model migration ahead of runtime end-of-support deadlines
    • Honest guidance on workloads better served by Container Apps or AKS than by Functions
  • 04

    Managed Azure Functions Operations

    Ongoing operational coverage for function apps and the messaging estate they depend on — with a named engineer who knows your topology before the alert fires.

    • VNet integration, private endpoints, and managed identity configuration across function apps
    • Application Insights instrumentation, sampling control, and alerting on failures and dependency latency
    • Dead-letter queue monitoring on Service Bus with tested replay and poison-message procedures
    • Named engineer on your account with a 15-minute emergency response SLA
  • 05

    Azure Functions Health Check & Assessment

    A structured review of every function app, trigger binding, and plan assignment — with findings ranked by production risk and monthly cost impact.

    • Hosting plan and instance sizing review against real invocation and concurrency data
    • Trigger and binding configuration audit, including retry policy and idempotency gaps
    • Identity and secrets review: managed identity coverage, Key Vault usage, and connection string sprawl
    • Written report with prioritized remediation steps ranked by production risk and expected saving
  • 15 MIN SLA

    24/7 Azure Functions 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

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

Contact Us

24/7 Support

Azure Functions Support When It Matters Most

AceMQ Azure Functions support gives you a named senior engineer and a 15-minute first response when production is down, 24/7. Lower severities get 1-hour, 4-hour and next-day responses, and every P1 ends in 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.

How It Works

What actually happens next

An AceMQ Azure Functions engagement runs in four stages: a function app assessment of 1 to 2 weeks, written findings within a week, changes made with your engineers one app at a time using deployment slots, then a handover with runbooks for stalled orchestrations, poison messages and scaling events.

1–2 weeks

Function app assessment

We review hosting plan choice, scaling and concurrency settings, trigger and binding configuration, Durable Functions state, and the Service Bus or Event Hubs layer underneath the triggers.

Within a week

Written findings and plan

Prioritised findings covering hosting plan, runtime version and trigger behaviour, with the reasoning attached so the choice between Consumption, Premium and dedicated is one you can defend.

Scoped per engagement

Implementation alongside your team

We change hosting plans, bindings, retry policy and orchestration code with your engineers rather than around them, one function app at a time using deployment slots so nothing is a one-way door.

Ongoing

Handover and optional cover

Runbooks for stalled orchestrations, poison messages and scaling events written against your triggers, plus 24/7 support with a 15-minute emergency SLA if you want it.

  • Written findings before any change
  • Every change deployed to a slot you can swap back from
  • 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 Azure Functions Results

Azure Functions work from AceMQ: storage trigger failures, Durable orchestration stalls, cost and scaling assessments and event architecture. Each card links to the full write-up: the environment, what AceMQ assessed or changed, and the result.

1 / 4 case studies

  • Remediation

    Azure Functions Storage Account Trigger Failure Remediation

    Property and Casualty Insurer

    Diagnosing functions that silently stopped triggering after a storage account connectivity change — a dependency the runtime has but the application code never mentions.

    Azure FunctionsAzure Service BusDockerPostgreSQL
  • Assessment

    Azure Functions Cost and Scaling Assessment

    Public Sector Services Organization

    Reviewing hosting plan choice, instance scaling behavior, and cold start impact across an Azure Functions estate to align cost with actual workload shape.

    Azure FunctionsAzure Service BusDockerKubernetes
  • Consulting

    Azure Functions Event Architecture Consulting

    Logistics Technology Provider

    Designing trigger selection, concurrency control, and failure handling for an Azure Functions estate integrating messaging and event streams.

    Azure FunctionsAzure Service BusRabbitMQKafkaDocker
  • Support

    Azure Durable Functions Orchestration Support

    Utility Billing Services Provider

    Recovering Durable Functions orchestrations stuck mid-flight because non-deterministic orchestrator code broke replay after a deployment.

    Azure FunctionsAzure Service BusPostgreSQLDocker
All use cases

Solutions

Every way AceMQ works with Azure Functions.

AceMQ covers Azure Functions end to end: serverless consulting, 24/7 support and incident management, proactive monitoring, managed operations inside your Azure tenant or from AceMQ-managed subscriptions and infrastructure, runtime upgrade planning, and a fixed-price health check.

Projects

Build, fix or move Azure Functions

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.

Side by side

Which Azure Functions hosting plan fits the workload?

The hosting plan sets a function app's cold start behaviour, networking options, deployment slots and cost floor. Flex Consumption, Premium and Dedicated all support VNet integration, and Consumption does not. Consumption costs nothing at idle but starts slowest. AceMQ makes the choice against your latency and connectivity needs and writes the trade-offs down.

Azure Functions Consumption, Flex Consumption, Premium and Dedicated plans compared on deployment slots, cold starts, VNet integration, idle cost and retirement risk
QuestionConsumptionFlex ConsumptionPremiumDedicated (App Service)
How many deployment slots?Two: production and one staging slot.None. Rolling updates replace the swap.Three, including production.One to twenty, depending on the App Service plan.
What about cold starts?Instances scale to zero, so idle apps cold start.Always-ready instances can be configured to reduce them.Pre-warmed instances avoid most cold starts.No cold start while Always On is enabled.
Can it join a VNet?No. VNet integration needs another plan.Yes.Yes.Yes.
What does it cost at idle?Nothing; you pay per execution.Per execution, plus any always-ready instances you choose.A cost floor for the minimum pre-warmed instances.The App Service plan, whether or not functions run.
What is the retirement risk?Linux Consumption retires on 30 September 2028 and gets no new language versions.It is the migration target Microsoft names for Linux Consumption apps.Not affected by the Linux Consumption retirement.Not affected by the Linux Consumption retirement.

Service Bus triggers are often the busiest part of a function app. For the tier trade-offs, read Azure Service Bus pricing: Basic, Standard and Premium, or RabbitMQ vs Azure Service Bus: cost, control and when to move.

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

Contact Us

One partner, not five

We Support Your Entire Tech Stack

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

See all 51 technologies we supportShow fewer

FAQs

Azure Functions Questions Answered

Eight answers on Azure Functions from AceMQ: supported runtime versions, who answers when triggers stop, how an engagement starts, working with your developers, trigger scaling, host storage failures, stuck orchestrations, and what managed Functions means.

Still have questions about Azure Functions? Email an Expert

Which Azure Functions runtime versions are supported?

Only runtime 4.x. Microsoft ended support for 1.x on 14 September 2026 and for 2.x and 3.x on 13 December 2022, and apps on 3.x running on Linux Consumption stopped running after 30 September 2026. Support for the in-process .NET model ends on 10 November 2026. AceMQ plans the move to 4.x and the isolated worker model, using slots for a low-downtime cutover.

Who answers when Azure Functions stop triggering in production, and how fast?

A named AceMQ senior engineer joins a live bridge within 15 minutes, 24/7, when function triggers stop, a queue stops draining or an orchestration wedges. Microsoft runs the platform; AceMQ covers your function code, trigger settings, scaling and networking. Lower severities get a response within 1 hour, 4 hours or the next business day, and every P1 ends in a written root-cause analysis.

How does an AceMQ Azure Functions engagement start?

An AceMQ Azure Functions engagement starts with a free consultation with a senior engineer, booked in our reply within 1 hour. A function app assessment of 1 to 2 weeks follows, covering hosting plan, scaling and concurrency settings, trigger and binding configuration, Durable Functions state and the Service Bus or Event Hubs layer. Written findings arrive within a week, before anything changes.

Can an AceMQ engineer work alongside our developers?

Yes. A named senior engineer from AceMQ's team of 11+ works with your developers, changing hosting plans, bindings, retry policy and orchestration code one function app at a time, using deployment slots so a swap can be reversed. You keep the runbooks for stalled orchestrations, poison messages and scaling events.

Why did our Service Bus-triggered function stop scaling while the queue keeps growing?

Scaling is bounded by the trigger and its host settings, not by the function code. For Service Bus, maxConcurrentCalls, prefetch and the plan's instance ceiling cap in-flight work, and target-based scaling decides how fast instances are added. AceMQ reads queue depth against instance count and these settings before it touches any code.

Why did every function stop triggering although the app shows as running?

Usually the function app's own storage account. The Functions host keeps trigger leases, timer state and Durable task hubs there, so a rotated connection string, a firewall change or a broken private endpoint stops scheduling and logs very little. AceMQ checks storage connectivity and permissions first, before looking at the functions.

Why does a Durable Functions orchestration get stuck and never complete?

Orchestrator code is replayed from history, so non-deterministic operations such as direct HTTP calls, DateTime.Now, new Guid, random values or unawaited async work take a different path on replay and wedge the instance. AceMQ moves those calls into activity functions, then repairs or terminates the stuck instances.

What does it mean for AceMQ to manage Azure Functions?

Microsoft provides the Functions service itself. AceMQ operates what you configure on it, inside your Azure tenant: hosting plans, slots, scaling, identity, alerting, cost review and on-call. Or AceMQ runs your function apps, with the pipelines, collectors and brokers around them, from AceMQ-managed Azure subscriptions and infrastructure on your behalf and owns their day-2 operations.

Can we work with AceMQ on Azure Functions without a long contract?

Yes. AceMQ works on Azure Functions 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 Azure Functions support or consulting cost?

Every AceMQ proposal is tailored to your requirements: your Azure Functions 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 Azure Functions 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 Azure Functions Running Predictably?

Whether you need architecture review, scaling and cost tuning, a migration partner, or ongoing managed operations — AceMQ staffs every engagement with a named senior engineer. Quote requests answered within 1 hour.

A senior Azure Functions engineer, not a sales queueAbout your function apps and triggers, not a pitch deckQuote requests answered within 1 hour

Production incident right now?Email an Azure Functions Architect

Get in Touch

Talk to an Azure Functions 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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