AWS Lambda Consulting & Support

AWS Lambda Consulting & Services for Enterprises

AceMQ engineers design event-driven systems on Lambda with SQS, Kinesis, and EventBridge — and operate the brokers and datastores on the other side of those triggers. We tune cold starts, concurrency, and the memory settings quietly inflating your bill.

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

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

Without rewriting your functions or moving the workload back onto serversFor production incident cover, see AceMQ AWS Lambda 24/7 support.

Customers

  • Microsoft
  • Henry Schein
  • Enbridge
  • Gojek

Partners

  • Broadcom
  • Redis
  • VMware Tanzu
  • OSSeva

The Problem

Why teams call us about AWS Lambda

Eight AWS Lambda problems teams bring to AceMQ, from cold starts on customer-facing paths and shared concurrency that throttles unrelated functions to SQS retries that never reach the dead-letter queue. If one describes your week, that is where the review starts.

  1. 01

    Cold starts run into seconds on a customer-facing path, and provisioned concurrency turns out to be expensive

  2. 02

    Functions hit the fifteen-minute ceiling on work that was never meant to be a single invocation

  3. 03

    Reserved concurrency on one function quietly starves every other function in the account

  4. 04

    SQS-triggered functions retry until the message ages out and nothing ever reaches the dead-letter queue

  5. 05

    Memory was set low to save money, so every invocation runs longer and costs more

  6. 06

    Functions inside a VPC exhaust ENIs or run out of NAT gateway throughput under load

  7. 07

    Nobody can follow a single request across API Gateway, the function and the queue behind it

  8. 08

    GB-seconds from functions nobody owns any more make up a growing share of the bill

A good fit if you run business-critical event-driven workloads on Lambda, fed by SQS, Kinesis or Kafka, 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 AWS Lambda.

Running AWS Lambda 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 a Lambda deploy moves the live alias to a slow version?

A Lambda alias points callers at a function version. When a deploy moves the alias to a version with a heavier init phase, every new execution environment pays for it. Under a burst, requests time out until the alias is pointed back.

A new version, a hot path, a cold start problem

One deploy, one live alias, three functions

Illustrative

  1. Each function's live alias points at a stable version. Execution environments are warm, init is short, and the API and the queue consumers keep up with traffic.

  2. The deploy moves every live alias to version 43, which adds a large dependency to the package. On the API path, orders and payments scale out under a burst, each new environment spends seconds in init, and requests time out. The audit consumer is queue-driven, so retries hide the same slowdown.

  3. The orders and payments aliases are pointed back at the previous versions, which takes seconds and needs no rebuild. The next release shifts traffic gradually with a weighted alias or CodeDeploy, watches errors and p99 duration, and aborts on an alarm.

A bad alias rollout is one of the reasons teams call AceMQ about AWS Lambda. Lambda keeps every published version, so rollback is an update-alias call, provided the previous version still exists and the alias was the deployment path. The fix is process and measurement: deploy through an alias, shift traffic with a weighted alias or CodeDeploy using a linear or canary configuration, alarm on errors and p99 duration so the shift aborts itself, trim the package and move work out of the init phase, use SnapStart or provisioned concurrency only where latency pays for it, and raise provisioned concurrency while weighted routing is active to avoid spillover. AceMQ reviews each against your functions.

Our Services

AWS Lambda Consulting & Services

AceMQ runs five AWS Lambda service lines: event source architecture, cold start and cost optimization, migration to and from Lambda, 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

    Serverless Architecture & Event Source Design

    Most Lambda problems trace back to the event source, not the function code. Batch sizes, visibility timeouts, and shard counts decide whether your system degrades gracefully or floods a dead-letter queue.

    • SQS, Kinesis, DynamoDB Streams, and EventBridge trigger design with correct batch size and window settings
    • Visibility timeout, retry, and dead-letter queue configuration aligned to actual function duration
    • Idempotency and partial batch failure handling so a single poison message does not stall a shard
    • Step Functions orchestration where a workflow needs state, not a chain of functions invoking each other
  • 02

    Cold Start & Cost Optimization

    Lambda bills on memory times duration, and most functions are over-provisioned on memory while still slow to start. Those two problems have opposite-looking fixes and we measure before changing either.

    • Memory and duration profiling to find the cost-optimal setting — more memory is often cheaper, not dearer
    • Cold start reduction: deployment package trimming, lazy initialization, and SnapStart for Java runtimes
    • Provisioned concurrency sized against real traffic curves, applied only where latency actually demands it
    • ARM/Graviton migration and runtime upgrades where the price-performance shift is real for your workload
  • 03

    Migration To and From Lambda

    Serverless is not a universal upgrade. We move the workloads that fit and say clearly which ones will cost more or run worse than the EC2 or container deployment they came from.

    • EC2, ECS, or cron-driven batch job migration to Lambda with event source and IAM redesign
    • Lambda to Fargate or ECS migration for long-running, high-throughput, or steady-state workloads
    • Honest assessment of when not to use Lambda: sustained high-volume traffic, long executions, heavy local state
    • Staged cutover with traffic shifting via aliases and weighted routing, plus a defined rollback path
  • 04

    Managed Lambda Operations

    Ongoing operational coverage for serverless estates — concurrency headroom, throttling, VPC networking, and the alarms that catch a runaway invocation loop before the invoice does.

    • Reserved and provisioned concurrency allocation across accounts to prevent one function starving another
    • Throttling and error-rate alerting with dead-letter queue monitoring and replay procedures
    • VPC networking design: subnet and ENI capacity planning, NAT cost control, and VPC endpoint usage
    • Named engineer on your account with a 15-minute emergency response SLA
  • 05

    Lambda Health Check & Assessment

    A structured review of every function, trigger, and IAM role in the account — with findings ranked by production risk and monthly dollar impact.

    • Per-function memory, duration, and cost analysis with a ranked list of right-sizing opportunities
    • Concurrency and throttling review against account limits and burst behavior during peak
    • IAM role review for over-broad permissions, plus environment variable and secrets handling
    • Written report with prioritized remediation steps and the expected saving or risk reduction for each
  • 15 MIN SLA

    24/7 AWS Lambda 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 AWS Lambda support tiers

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

Contact Us

24/7 Support

AWS Lambda Support When It Matters Most

AceMQ AWS Lambda 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.

Compare AWS Lambda support plans

How It Works

What actually happens next

An AceMQ AWS Lambda engagement runs in four stages: a workload assessment of 1 to 2 weeks, written findings within a week, changes made with your engineers function by function with an alias to roll back to, then a handover with runbooks for throttling, poison messages and downstream failure.

1–2 weeks

Workload assessment

We review invocation patterns, memory and timeout settings, concurrency limits, VPC and networking configuration, and the event sources feeding each function — including the queues and streams on the other side.

Within a week

Written findings and plan

Prioritised findings that separate the latency problems from the cost problems, with the reasoning attached so your engineers and your finance team are working from the same numbers.

Scoped per engagement

Implementation alongside your team

We change memory sizing, concurrency, retry and dead-letter configuration with your engineers rather than around them, deployed function by function with an alias to roll back to.

Ongoing

Handover and optional cover

Runbooks for throttling, poison messages and downstream failure written against your event sources, plus 24/7 support with a 15-minute emergency SLA if you want it.

  • Written findings before any change
  • Every change deployed through an alias you can roll back to
  • 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 AWS Lambda Results

AWS Lambda work from AceMQ: SQS redrive loops, VPC network interface exhaustion, cost optimization and event source design. Each card links to the full write-up: the environment, what AceMQ assessed or changed, and the result.

1 / 5 case studies

  • Remediation

    AWS Lambda SQS Redrive Loop Remediation

    Digital Insurance Provider

    Breaking a redrive loop where SQS messages were reprocessed indefinitely because the queue visibility timeout was shorter than the Lambda function timeout.

    AWS LambdaAmazon SQSDockerPostgreSQL
    Read case study : AWS Lambda SQS Redrive Loop Remediation
  • Assessment

    AWS Lambda Cost and Right-Sizing Assessment

    Consumer Subscription Business

    Measuring memory, duration, and concurrency across a large Lambda estate to right-size functions that were provisioned by guesswork.

    AWS LambdaAmazon SQSDockerPostgreSQL
    Read case study : AWS Lambda Cost and Right-Sizing Assessment
  • Consulting

    AWS Lambda Event-Source Architecture Consulting

    Freight and Transport Technology Company

    Designing event-source mapping, batching, ordering, and failure handling for a Lambda estate that had grown without a consistent event architecture.

    AWS LambdaAmazon SQSKafkaRabbitMQDocker
    Read case study : AWS Lambda Event-Source Architecture Consulting
  • Remediation

    Amazon SQS Dead-Letter Queues That Expired Their Own Evidence

    Benefits Enrolment Platform

    Failed enrolment events were disappearing from the dead-letter queue before anyone looked at them. The fix was a retention setting, a receive count, and a redrive path that did not create duplicates.

    Amazon SQSAWS LambdaAWSTerraform
    Read case study : Amazon SQS Dead-Letter Queues That Expired Their Own Evidence
All use cases

Solutions

Every way AceMQ works with AWS Lambda.

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

Projects

Build, fix or move AWS Lambda

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 AWS Lambda 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 AWS Lambda for you.

Compare the four AWS Lambda support tiers

Side by side

AWS Lambda or containers: which fits the workload?

AWS Lambda runs your code per event, scales without servers to manage and bills for memory and duration. Containers on ECS, Fargate or Kubernetes run continuously and suit steady, long-running or latency-critical work. AceMQ moves workloads in both directions and runs the numbers before recommending a direction.

AWS Lambda compared with containers on ECS, Fargate or Kubernetes on scaling, start-up latency, run time, cost shape, deployment rollback and incident ownership
QuestionAWS LambdaContainers (ECS, Fargate, Kubernetes)
How does it scale?One execution environment per concurrent request, within account and function concurrency limits that every function shares.A number of tasks or pods you set or autoscale, on capacity you plan for.
What about start-up latency?A new environment pays an init phase, called a cold start. SnapStart and provisioned concurrency reduce it, at a cost.Running containers have no per-request cold start. New tasks or pods take longer to start than a Lambda environment.
How long can work run?Up to 15 minutes per invocation by default. Durable functions can run longer.As long as needed.
What does it cost?Memory times duration plus requests, with init time billed on cold starts. Cheap when idle, expensive for sustained high volume.You pay for running capacity whether or not it is busy. Cheaper for steady, high-throughput traffic.
How do you deploy and roll back?Versions and aliases, with weighted routing or CodeDeploy. Rollback points the alias at the previous version.Rolling or blue/green deployments. Rollback redeploys the previous image or revision.
Who answers an incident?AWS runs the platform. Handler code, event source settings, IAM, concurrency and cost are yours, and AceMQ covers them 24/7.Your platform team, or AceMQ for the cluster and the workloads on it.

To weigh Amazon SQS against a self-run broker as the event source, see RabbitMQ vs Amazon SQS. For models where AceMQ operates the messaging in your own account, read managed messaging in your own cloud.

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

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One partner, not five

We Support Your Entire Tech Stack

AWS Lambda 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 AWS Lambda.

Guides from AceMQ engineers on operating messaging in your own cloud account, plus the AceMQ services for the queues, streams, containers and monitoring tools that usually sit around Lambda in production.

Related services

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

Contact Us

FAQs

AWS Lambda Questions Answered

Eight answers on AWS Lambda from AceMQ: runtime deprecation dates, who answers when functions throttle, how an engagement starts, working with your developers, cold starts, rolling back a bad deploy, SQS retries, and what managed Lambda means.

Still have questions about AWS Lambda? Email an Expert

Which AWS Lambda runtimes are deprecated, and what happens when one is?

Lambda deprecates a runtime when its language version reaches end of community support. As of 19 October 2026 Node.js 20 and Python 3.9 are deprecated, Python 3.10 follows on 31 October 2026 and .NET 8 on 10 November 2026. After deprecation AWS may stop patching, functions lose technical support, and creates and updates are blocked later. AceMQ plans upgrades ahead of each date.

Who answers when AWS Lambda functions throttle or fail in production, and how fast?

A named AceMQ senior engineer joins a live bridge within 15 minutes, 24/7, when Lambda functions throttle, a queue backs up or costs spike. AWS runs the platform; AceMQ covers your handler code, event sources, concurrency and IAM. Lower severities get a first 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 AWS Lambda engagement start?

An AceMQ AWS Lambda engagement starts with a free consultation with a senior engineer, booked in our reply within 1 hour. A workload assessment of 1 to 2 weeks follows, covering invocation patterns, memory and timeout settings, concurrency, VPC configuration and the queues and streams behind each trigger. 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 memory, concurrency, retry and dead-letter settings one function at a time, deployed through an alias so every change has a version to roll back to. You keep the runbooks for throttling, poison messages and downstream failure.

Why are our Lambda cold starts slow, and what actually fixes them?

A cold start is the init phase of a new execution environment: downloading code, starting the runtime and running everything outside the handler. It grows with package size, imports and connections opened at module scope. AceMQ fixes it in order of cost: trim the package, defer work, choose a faster runtime, use SnapStart where the runtime supports it, then size provisioned concurrency to the traffic curve.

How do we roll back a bad Lambda deploy quickly?

Deploy through an alias and point it back at the previous published version, which takes effect in seconds. Send a small share of traffic to the new version first with a weighted alias or CodeDeploy, and alarm on errors and p99 duration so the shift aborts. Both versions need the same execution role and dead-letter configuration, and an alias cannot point at $LATEST.

Why do SQS-triggered Lambda messages keep retrying and never reach the dead-letter queue?

Usually the queue's visibility timeout is shorter than the function timeout, so a message reappears while the first invocation is still running, or the dead-letter queue is set on the function instead of a redrive policy on the source queue. AceMQ aligns visibility timeout to function duration, sets the redrive policy and adds partial batch responses.

What does it mean for AceMQ to manage AWS Lambda?

AWS provides the Lambda service itself. AceMQ operates what you configure on it, inside your AWS account: aliases and deployment pipelines, concurrency, IAM, alarms, cost review and on-call. Or AceMQ runs your functions, with the pipelines, collectors and event-source brokers around them, from AceMQ-managed AWS accounts and infrastructure on your behalf and owns their day-2 operations.

Can we work with AceMQ on AWS Lambda without a long contract?

Yes. AceMQ works on AWS Lambda 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 AWS Lambda support or consulting cost?

Every AceMQ proposal is tailored to your requirements: your AWS Lambda 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 AWS Lambda 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 Tune Your Serverless Estate?

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

A senior AWS Lambda engineer, not a sales queueAbout your functions and event sources, not a pitch deckQuote requests answered within 1 hour

Production incident right now?Email an AWS Lambda Architect

Get in Touch

Talk to an AWS Lambda 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
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Miami, FL 33130

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