What does AceMQ Docker support include?

Our Docker support covers 24/7 emergency incident response with a 15-minute SLA, root cause analysis on every P1, image and build optimisation, registry operation, image security and supply chain work, and runtime resource tuning. Every ticket is handled by a named senior engineer assigned to your account — there is no tier-1 triage layer and no per-incident charge.

Why does our container get OOMKilled when the app says it has memory free?

Because the process is sizing itself from host memory rather than its cgroup limit. A JVM without container support or a sensible MaxRAMPercentage will pick a heap based on the whole machine; Node will do the same with its default old-space size. The process happily grows past the container limit, the kernel kills it, and the application never gets a chance to log anything — you just see exit code 137. The fix is setting runtime memory flags relative to the container limit, with headroom for non-heap memory.

Can you help us escape public registry pull rate limits?

Yes. Anonymous pulls from public registries are rate limited per source IP, so an entire NAT-ed cluster or CI fleet shares a single budget and hits it during any large rollout. We set up authenticated pulls, a pull-through cache or internal mirror, and pin the base images you depend on, so a public registry throttle or outage stops being able to block your deploys.

Our CI builds got slow. Is that fixable without changing the application?

Usually yes, and entirely in the Dockerfile. The dominant cause is copying the whole source tree before installing dependencies, which invalidates the cache on every commit and reinstalls the full dependency set each build. Copying manifests first, installing, then copying source restores cache reuse. Multi-stage builds and BuildKit cache mounts for package manager directories usually take the rest.

Do you support Docker in Kubernetes environments?

Yes, and that is where most of our container work lives. Kubernetes replaced Docker as the node runtime with containerd or CRI-O, but the images, Dockerfiles, registries, and build pipelines are unchanged — and so are the failure modes. We support the image and build layer alongside the orchestration layer rather than treating them as different engagements.

We found credentials baked into a published image. What now?

Treat the credential as compromised and rotate it first — a value deleted in a later layer is still readable in the layer that introduced it, and anyone who pulled the image has it. We help identify every affected tag and digest, rotate the credential, rebuild using build secrets or a secret manager rather than build arguments, and add a pipeline check so the same class of mistake fails the build next time.

How is AceMQ Docker support priced?

Support is priced as an annual contract based on your environment size, required SLA tier, and coverage hours — not per incident or per ticket. That means calling us during an outage never carries a cost decision. Contact us for a quote; we turn them around within 24 hours.

Docker Support

24/7 Docker Support with a 15-Minute Emergency SLA

AceMQ supports containerised workloads in production — OOMKilled processes that ignore their cgroup limit, registry rate limits blocking a deploy, build caches that invalidate on every commit, hosts filling with dangling layers, and secrets baked into image history. Every ticket reaches a named senior engineer.

Senior Docker engineers on call right now — 24/7/365

15 min emergency SLA24 /7 global coverage130 + enterprise customers26 + countries served

Available Now

Book a free Consultation.

Prefer to chat first?

Prefer to E-mail?

info@acemq.com

Trusted for mission-critical Docker by teams in finance, healthcare, defense, and telecom

Escalation Path

Your first hour of a Docker outage

Most vendors publish an SLA number. This is what actually happens, minute by minute, when you page a senior AceMQ engineer.

T+0

You page us

Phone, email, or Slack — any channel reaches the on-call senior engineer directly. No web form, no tier-1 queue.

T+15

Named engineer live

A senior engineer who already knows your environment joins a live bridge. Zero cold-start, no re-explaining your topology.

T+30

Root cause isolated

Direct broker access, log and metric review, and a working hypothesis with a rollback plan before we touch anything.

Post

Written RCA

Documented root cause, the fix applied, and the prevention steps — delivered after every P1, not just when asked.

Response Times

SLA tiers, contractually guaranteed

Every tier reaches a senior Docker engineer. There is no tier-1 triage layer to get through.

P1 — Emergency

15 min

Production down, messages not flowing, cluster or broker failure

P2 — Critical

1 hour

Severe degradation, rising error rates, approaching capacity limits

P3 — High

4 hours

Performance issues, configuration problems, non-critical failures

P4 — Standard

Next day

Questions, guidance, best practices, non-urgent improvements

Incident Triage

Docker problems we fix every week

These are real symptoms from real Docker production environments — and the first thing our engineers check when one comes in.

Symptom you're seeingWhat we check firstTypical resolution

Container killed with exit code 137, no application error logged

What we check firstWhether the runtime inside the container knows about its cgroup memory limit. A JVM without container-awareness or correct MaxRAMPercentage, and Node without an explicit heap cap, will size the heap from host memory and get OOMKilled long before they think they are under pressure.

Typical resolutionUnder 1 hour

Deploys failing with toomanyrequests — pull rate limit reached

What we check firstWhich images are being pulled anonymously and how often. Unauthenticated pulls from a public registry are rate limited per source IP, so a whole NAT-ed cluster shares one budget. The fix is an authenticated pull-through cache or an internal mirror.

Typical resolutionUnder 1 hour

CI builds take 12 minutes when they used to take 2

What we check firstDockerfile layer ordering. If COPY of the full source tree happens before dependency installation, every commit invalidates the cache from that line down and reinstalls everything. We reorder to copy manifests first, then install, then copy source.

Typical resolution1–2 hours

Build hosts or nodes running out of disk with no obvious cause

What we check firstSpace split between images, containers, local volumes, and build cache. Build cache and dangling layers from repeated CI builds usually dominate, and no automated prune is in place. We size the reclaim before changing retention.

Typical resolutionUnder 1 hour

Image works locally but crashes immediately in CI or on the cluster

What we check firstArchitecture of the image against the host. An image built on an arm64 laptop and run on amd64 nodes fails at exec, often with an unhelpful format error. We verify the manifest and move the build to buildx multi-platform or a matching runner.

Typical resolutionUnder 1 hour

A secret was committed into an image and the image is already published

What we check firstImage history layer by layer — a value removed in a later layer is still readable in the layer that added it. We identify every affected tag and digest, then plan credential rotation first and image rebuild second, in that order.

Typical resolution1–3 hours

Containers restarting in a loop with no useful log output

What we check firstWhether the process is PID 1 and how it handles signals. A shell-form entrypoint means the app runs as a child of sh, never receives SIGTERM, gets killed after the grace period, and loses its shutdown logging with it.

Typical resolution1–2 hours

Application slow under load but host CPU looks under-utilised

What we check firstCPU quota and throttling counters for the container's cgroup. A low CPU limit produces heavy throttling at every scheduling period while overall host utilisation stays low — the workload is stalled, not idle.

Typical resolution2–4 hours

Resolution times reflect typical Docker engagements under an active AceMQ support contract. Every P1 closes with a written root-cause analysis.

Not on the list? Tell us what's breaking

Support In Practice

Docker problems we've already solved

Representative engagements showing how these incidents get diagnosed and closed under an AceMQ support contract.

All use cases

Support

Pentaho Job Failure and Data Integrity Support

Logistics and Distribution Company

Ongoing support for a Pentaho Data Integration estate that must keep running reliably while a longer-term replacement is planned.

PentahoSQL ServerPostgreSQL

Read case study

Remediation

Pentaho Carte Cluster Stability Remediation

Industrial Products Manufacturer

Resolving Carte slave server instability where long-running clustered transformations hung, leaked memory, and left orphaned carte sessions.

PentahoPostgreSQLDocker

Read case study

Remediation

Kong 502 and Upstream Health Check Remediation

Digital Commerce Platform

Tracing intermittent 502s at the Kong gateway to misconfigured active health checks and stale DNS resolution of upstream service names.

KongKubernetesNGINX

Read case study

Support

Apigee Proxy Latency and Policy Chain Support

Telecommunications Provider

Debugging proxy-level latency and policy execution problems in Apigee that sit outside what the platform vendor's support will investigate.

ApigeeKubernetesDocker

Read case study

Assessment

Apigee Proxy Estate and Shared Flow Redesign Assessment

Consumer Financial Services Company

Assessing a sprawling Apigee proxy estate and designing a shared flow architecture that removes duplicated policy logic across hundreds of proxies.

ApigeeKongKubernetes

Read case study

Remediation

MuleSoft Streaming Strategy and OOM Remediation

Wholesale Distribution Group

Resolving out-of-memory failures in a Mule application that buffered entire multi-hundred-megabyte payloads because no repeatable streaming strategy was configured.

MuleSoftKubernetesDocker

Read case study

Support

MuleSoft CloudHub Worker Restart and Memory Pressure Support

Specialty Retail Chain

Investigating recurring CloudHub worker restarts under memory pressure and the application-level causes behind them.

MuleSoftDockerKubernetes

Read case study

Remediation

WSO2 API Manager Throttling Consistency Remediation

National Telecommunications Operator

Fixing throttling policies that applied inconsistently across WSO2 gateway nodes, letting some consumers far exceed their subscription tier.

WSO2KubernetesKafka

Read case study

What's Included

Everything in your Docker support contract

No add-on pricing for incidents. No per-ticket charges. One contract covers the whole surface.

Emergency Incident Response

Containers crash-looping, deploys blocked, nodes out of disk, or a registry outage stopping every rollout. A senior engineer joins a live bridge within 15 minutes with access to diagnose — not a ticket acknowledgement.

Root Cause Analysis

Every P1 closes with a written RCA: what failed, why, the fix applied, and the Dockerfile, runtime, or platform change that prevents recurrence. Delivered as standard, not on request.

Image & Build Optimisation

Multi-stage builds, layer ordering for cache reuse, base image selection, and BuildKit cache mounts — cutting image size and CI build time without breaking reproducibility.

Image Security & Supply Chain

Vulnerability scanning in the pipeline, base image currency, non-root users, secret handling with build secrets rather than ARGs, image signing, and SBOM generation for audit.

Registry & Distribution

Private registry operation, pull-through caching and mirroring to escape public rate limits, retention and garbage collection policy, and multi-architecture image publishing.

Resource & Runtime Tuning

Memory and CPU limits set against real workload behaviour, runtime flags so the JVM or Node process respects its cgroup, storage driver and logging driver configuration, and health check design.

Anywhere You Run It

We support Docker wherever it's deployed

Cloud, Kubernetes, bare metal, hybrid, and air-gapped — including environments where you can't give us outbound network access.

Docker Engine on LinuxDocker ComposeKubernetes & OpenShiftAWS (ECS, EKS, Fargate, ECR)Microsoft Azure (AKS, ACR)Google Cloud (GKE, Artifact Registry)Harbor & self-hosted registriescontainerd & CRI-O runtimesGitHub Actions, GitLab CI, JenkinsBare metal & on-premiseAir-gapped / no outbound accessHybrid cloud

Why AceMQ

What you get that you don't get elsewhere

Named Engineers, Zero Cold Start

The same senior engineers stay on your account. They know your base images, your CI pipeline, and your runtime platform — so a P1 call starts with diagnosis, not twenty minutes of you explaining your build.

No Tier-1 Triage Layer

You reach a senior engineer directly by phone, email, or Slack. No help desk collecting information to pass along, and no escalation approval standing between you and someone who can actually fix it.

We Follow the Problem Out of the Container

Most container incidents are runtime, kernel, storage, or network incidents wearing a container costume. We diagnose across cgroups, the JVM or Node runtime, the storage driver, and CNI — not just the Dockerfile.

Supply Chain Taken Seriously

Base image provenance, layer-level secret exposure, signing, and SBOM output are part of normal support, not a separate security engagement bolted on after an audit finding.

Genuine Follow-the-Sun Coverage

Engineers across 26+ countries and every time zone. Your 3am incident is someone's mid-afternoon — no overnight skeleton crew, no waiting for a region to wake up.

Proactive, Not Just Reactive

Quarterly reviews of base image currency, image size and build time trends, and registry hygiene — plus alerts when a CVE lands in a base image you are actually running.

FAQ

Docker support questions

A Broken Image Pipeline Stops Every Deploy You Have

Whether you need emergency response tonight or a support contract that keeps builds fast and images clean, AceMQ staffs every engagement with a named senior engineer. Support quotes returned within 24 hours.

Get in Touch

Talk to a Support Expert

Send us a message and we'll follow up within one business day — 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.