Prometheus Consulting & Support

Prometheus Consulting & Support for Enterprises

AceMQ engineers design exporter architecture, enforce label and cardinality discipline, and scale Prometheus past single-node retention with Thanos, Mimir, or Cortex. Every engagement is staffed by a named senior engineer — most Prometheus incidents trace back to cardinality, and we've fixed that problem at scale before.

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

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

Without a rip-and-replace onto a hosted metrics platformFor production incident cover, see AceMQ Prometheus 24/7 support.

Customers

  • Microsoft
  • Henry Schein
  • Enbridge
  • Gojek

Partners

  • Broadcom
  • Redis
  • VMware Tanzu
  • OSSeva

The Problem

Why teams call us about Prometheus

Eight Prometheus problems that teams bring to AceMQ, from a label that exploded the series count to alerts that fire in batches after a restart. They cover memory and WAL replay, retention, scrape and exporter sprawl, missing recording rules and a Thanos or Mimir rollout that never finished. If one describes your week, that is where the review starts.

  1. 01

    One label with unbounded values pushed series cardinality past what the server can hold

  2. 02

    The server runs out of memory and then takes an hour of WAL replay to come back

  3. 03

    Retention is capped by local disk, so anything older than a fortnight is simply gone

  4. 04

    Scrape intervals and timeouts are still at defaults and targets go stale under load

  5. 05

    Exporters were added ad hoc, so the same host reports under three different job names

  6. 06

    There are no recording rules, so every dashboard and alert recomputes the same expensive query

  7. 07

    Alerts fire in batches after a restart because nothing distinguishes a real outage from a scrape gap

  8. 08

    A Thanos or Mimir rollout was started, never finished, and both paths are now half-live

A good fit if you run Prometheus in production for services that page real people, and want senior engineers who know cardinality, WAL replay and Alertmanager failure modes, whether you stay self-managed or move to Thanos, Mimir or a managed service.

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 Prometheus.

Running Prometheus 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 node failure fires forty Prometheus alerts?

When Alertmanager has no grouping, inhibition or ownership routing, one failed node fires rules for the node, every pod on it and every service behind it, and each notification goes to the same engineer. The page count then reflects how many rules exist, not how many problems there are.

One failed node, forty pages

Three scrape jobs, one rule set, one Alertmanager route

Illustrative

  1. Scrapes succeed and the rules evaluate quietly. Alertmanager holds nothing and the on-call engineer is not paged.

  2. A node goes down. NodeDown, pod not ready, TargetDown and latency rules all fire at once, and with no grouping or inhibition each one becomes its own page to the same engineer.

  3. Alerts are grouped by cluster and alert name, a node-down alert inhibits the pod alerts that follow it, and a team label routes the result to its owner. One notification arrives, with the cause first.

Alert storms are one of the most common reasons teams call AceMQ about Prometheus. The fix is configuration: group_by, group_wait and group_interval on the Alertmanager route, inhibit_rules so a node or cluster alert suppresses its symptoms, a team label on every rule that child routes match, and for durations set against real metric noise. AceMQ also adds a Watchdog alert wired to an external dead man's switch, so a silent Alertmanager is noticed too.

Our Services

Prometheus Consulting & Services

AceMQ runs five Prometheus service lines: architecture and implementation, cardinality control and tuning, migration and modernization, managed operations, and a fixed-price 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

    Prometheus Architecture & Implementation

    We design exporter and scrape architecture, label schemas, and alert routing that stay stable as your service count grows — instead of a scrape config that was fine at ten services and unmanageable at two hundred.

    • Exporter and scrape target architecture across services, hosts, and Kubernetes workloads
    • Label schema and cardinality budget design to keep time series counts sustainable
    • Federation architecture for multi-cluster and multi-region metric aggregation
    • Alertmanager routing tree and notification policy design
  • 02

    Cardinality Control & Performance Tuning

    Cardinality discipline is the single biggest factor in whether Prometheus stays fast or falls over. We audit label design and fix it before it becomes an outage.

    • Cardinality audit to find and eliminate high-cardinality labels before they take down an instance
    • Recording rule design to precompute expensive queries and reduce query-time load
    • TSDB block compaction and retention tuning for memory and disk pressure
    • Scrape interval and target sharding tuning for ingestion throughput
  • 03

    Prometheus Migration & Modernization

    Whether you're moving off Nagios, Zabbix, or Datadog onto Prometheus-based observability, or scaling a single-node Prometheus into a durable long-term storage architecture, we plan the transition end to end.

    • Nagios, Zabbix, or Datadog to Prometheus-based observability stack migration
    • Single-node Prometheus to Thanos, Mimir, or Cortex for long-term storage and global query
    • Alert rule translation from legacy threshold-based monitoring to PromQL
    • Remote-write pipeline design for durable, horizontally scalable storage
  • 04

    Managed Prometheus Operations

    Ongoing operational coverage for the metrics pipeline your alerting depends on — including the long-term storage layer most teams under-invest in until it's the bottleneck.

    • 24/7 monitoring of Prometheus and long-term storage component health
    • Alert rule and recording rule lifecycle management as services evolve
    • Capacity planning for TSDB growth and remote-write backend scaling
    • Version upgrade coordination across Prometheus, Thanos/Mimir, and exporters
  • 05

    Prometheus Health Check & Assessment

    A structured cardinality and architecture audit — because the incident you haven't had yet is usually already visible in the label design.

    • Cardinality and label design audit across all scrape targets
    • Alert rule review for noisy, flapping, or unreachable alerts
    • Federation and remote-write architecture review for single points of failure
    • Written report with prioritized remediation ranked by incident risk
  • 15 MIN SLA

    24/7 Prometheus 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 Prometheus support tiers

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

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24/7 Support

Prometheus Support When It Matters Most

AceMQ Prometheus support gives you named senior engineers and a 15-minute first response when Prometheus is down or alerting has gone silent, 24/7. Lower severities get 1-hour, 4-hour and next-day responses. The same tiers apply to Prometheus, Alertmanager and the Thanos or Mimir layer behind it.

  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 Prometheus support plans

How It Works

What actually happens next

A Prometheus engagement runs in four stages: a metrics and cardinality assessment of 1 to 2 weeks, written findings within a week, changes made with your engineers, then a handover with runbooks. Each stage ends in writing, so your team sees which series and rules change, and why, before anything does.

1–2 weeks

Metrics and cardinality assessment

We measure series cardinality by metric and by label, review exporter coverage, scrape configuration, recording and alerting rules, and what your retention target actually costs in memory and disk.

Within a week

Written findings and plan

Prioritised findings that name the specific labels and exporters driving cardinality, with the reasoning attached so dropping a series is an informed decision rather than a guess.

Scoped per engagement

Implementation alongside your team

We apply relabelling, recording rules and long-term storage changes with your engineers rather than around them, staged so you can compare query results before and after each step.

Ongoing

Handover and optional cover

Runbooks for WAL replay, target loss and cardinality regression written against your exporter set, plus 24/7 support with a 15-minute emergency SLA if you want it.

  • Written findings before any change
  • Every series and rule change staged 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 Prometheus Results

Prometheus work from AceMQ, from cardinality and WAL replay incidents to scrape architecture and long-term storage design. Each card links to the full write-up: the environment, what AceMQ assessed or changed, and the result.

1 / 6 case studies

All use cases

Solutions

Every way AceMQ works with Prometheus.

AceMQ covers Prometheus end to end: architecture and cardinality consulting, 24/7 support and incident management, proactive monitoring, managed Prometheus on your infrastructure or on AceMQ's, cover past the LTS window, and a fixed-price health check.

Projects

Build, fix or move Prometheus

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 Prometheus 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 Prometheus for you.

Compare the four Prometheus support tiers

Side by side

Prometheus alone, with Thanos or Mimir, or as a managed service: what changes?

A single Prometheus server, Prometheus with Thanos or Mimir, and a cloud managed Prometheus service all scrape and query the same way, but they store, retain and bill metrics differently. The choice follows retention, query scope and who should be on call for storage. AceMQ supports the Prometheus side of all three, and each row below answers one question.

A single Prometheus server compared with Prometheus plus Thanos or Mimir and with a cloud managed Prometheus service on storage, retention, behaviour at high cardinality, operations, AceMQ support and the work of moving
QuestionSingle Prometheus serverPrometheus with Thanos or MimirCloud managed Prometheus
Where are samples stored?In local TSDB blocks on the server's disk, behind a write-ahead log.In object storage such as S3, uploaded by Thanos sidecars or received by Mimir through remote_write.In the provider's storage, fed by remote_write or the provider's own collector.
How long can metrics be kept?As long as local disk allows, bounded by the retention time and size flags.Months or years in object storage. Thanos can downsample old blocks to 5m and 1h resolution.As long as the provider's retention tier allows.
What happens when active series double?Memory climbs with head series, and the server can be OOM-killed and then spend a long time replaying the WAL.The Prometheus servers feeding it still pay in memory, and the long-term layer pays in ingester memory and object storage.The bill rises with series and samples ingested, and the provider can reject samples above its limits.
Who runs the moving parts?Your team: the server, Alertmanager, exporters and upgrades.Your team, or AceMQ: also the compactor, store gateway, queriers and object storage.The provider runs storage and query. You still own what is scraped, the recording rules and the alert rules.
What does AceMQ support?Self-managed Prometheus, including 2.x, with a planned move to the 3.x LTS line.Thanos, Mimir and Cortex next to Prometheus, including compaction health and upgrades across the components.The Prometheus side of the service: remote_write tuning, cardinality, recording rules and alert rules.
What does a move involve?Nothing, while series count and retention fit one server.Adding a sidecar or remote_write, an object storage bucket and a check that queries return the same results.Pointing remote_write at the service and running both side by side before cutting local retention.

To see how long Prometheus LTS releases are fixed and where independent support fits, read the Prometheus support options guide. To see how long Prometheus and 20 other technologies get security fixes, see open source and vendor support windows compared.

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

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One partner, not five

We Support Your Entire Tech Stack

Prometheus 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 Prometheus.

Guides from AceMQ engineers on Prometheus support options, LTS lifecycles and long-term storage, plus the AceMQ services for the Grafana, Kubernetes and messaging platforms that usually run next to it.

Related services

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

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FAQs

Prometheus Questions Answered

Eight answers on Prometheus from AceMQ: supported and end-of-life versions, who answers when monitoring fails, how an engagement starts, working with your team, memory and WAL replay, alert storms, Thanos or Mimir, and managed Prometheus.

Still have questions about Prometheus? Email an Expert

Which Prometheus versions are still supported, and when do they reach end of life?

Prometheus 3.13 is the supported LTS release, with fixes to 31 July 2027. Prometheus 3.5 ended on 31 July 2026 and 2.53 on 31 July 2025. The project patches a minor release for about six weeks, and LTS releases get high-severity fixes only. AceMQ supports self-managed Prometheus on any of these lines, including 2.x, while the upgrade is planned.

Who answers when Prometheus goes down or stops alerting, and how fast?

A named AceMQ senior engineer answers within 15 minutes, 24/7, when Prometheus is down, stuck in WAL replay or no longer alerting. Lower severities get a first response within 1 hour, 4 hours or the next business day. Monitoring that fails during an incident is treated as P1, and every P1 ends with a written root-cause analysis.

How does a Prometheus engagement with AceMQ start?

A Prometheus engagement starts with a free consultation with a senior engineer, booked in our reply within 1 hour. A metrics and cardinality assessment of 1 to 2 weeks follows, covering series by metric and label, scrape and exporter coverage, recording and alerting rules, and retention. Written findings arrive within a week, and nothing changes until your team has read them.

Can an AceMQ engineer work alongside our in-house SRE team?

Yes. AceMQ assigns a named senior engineer from its team of 11+ who works with your engineers rather than around them, changing relabelling, recording rules and Alertmanager routing together. Each change is staged so you can compare query results before and after, and you keep the runbooks for WAL replay, target loss and cardinality regressions.

Why does Prometheus run out of memory, and is more RAM the fix?

Prometheus memory follows the number of active series in the head block, so an OOM kill almost always means series grew, usually because a label took unbounded values such as a user ID, request path or pod name. More memory only delays the next kill and lengthens WAL replay. AceMQ finds the metric and label, drops it with metric_relabel_configs and fixes the instrumentation.

Why does one failure fire dozens of Prometheus alerts, and how do we fix routing?

One failed node pages dozens of times when Alertmanager has no grouping, no inhibition and no ownership routes, so each rule becomes its own notification to the same channel. Setting group_by, inhibit_rules and routes that match a team label turns the storm into one notification for one owner. AceMQ also removes rules that never led to action.

Should we add Thanos or Mimir, or use a managed Prometheus service?

Choose by retention, query scope and who should carry the operational work. Thanos suits a Prometheus per cluster with a global query view, Mimir suits centralised high write volume, and cloud managed services take storage off your on-call but bill by series ingested. AceMQ has run all three and recommends the one that fits your query patterns and team.

Can AceMQ run Prometheus for us instead of only supporting it?

Yes, in two ways. AceMQ can operate Prometheus, Alertmanager and the long-term storage layer inside your own cloud account, cluster or data centre, or host them on AceMQ infrastructure and receive your samples by remote_write. Either way AceMQ owns monitoring, upgrades, capacity and on-call, and your team keeps writing rules and dashboards.

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

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

Every AceMQ proposal is tailored to your requirements: your Prometheus 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 Prometheus 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 Prometheus Stack?

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

A senior Prometheus engineer, not a sales queueAbout your series and alert rules, not a pitch deckQuote requests answered within 1 hour

Production incident right now?Email a Prometheus Architect

Get in Touch

Talk to a Prometheus 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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