Elasticsearch Consulting & Support

Elasticsearch Consulting & Support for Enterprises

AceMQ engineers run Elasticsearch clusters in production across financial services, healthcare, and public sector environments. Every engagement is staffed by a named senior engineer who has diagnosed real sharding, mapping, and cluster-health incidents — not a generalist reading the docs alongside you.

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

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

Without reindexing the entire cluster or moving to another search engineFor production incident cover, see AceMQ Elasticsearch 24/7 support.

Customers

  • Microsoft
  • Henry Schein
  • Enbridge
  • Gojek

Partners

  • Broadcom
  • Redis
  • VMware Tanzu
  • OSSeva

The Problem

Why teams call us about Elasticsearch

Eight Elasticsearch problems that teams bring to AceMQ, from clusters stuck yellow and thousands of small shards to circuit breaker errors and mapping explosions. If one describes your week, that is where the review starts.

  1. 01

    The cluster sits yellow for days and nobody can say which shards are unassigned or why

  2. 02

    Dynamic mapping produced a field explosion and cluster state publication is now expensive

  3. 03

    Thousands of small shards from daily indices consume the heap that queries need

  4. 04

    Circuit breaker exceptions appear under load and the request simply fails

  5. 05

    One expensive aggregation slows the cluster for every other team using it

  6. 06

    Rolling restarts take hours because recovery is throttled to a setting nobody chose

  7. 07

    Search latency is acceptable at the median and unacceptable at the 99th percentile

  8. 08

    The subscription tier was chosen for one feature and now applies across far more nodes than need it

A good fit if you run Elasticsearch in production for search, logs or security data and want senior engineers who know its failure modes, whether you stay on it, move to OpenSearch or move 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 Elasticsearch.

Running Elasticsearch 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 to an Elasticsearch cluster when a data node drops out?

When a data node leaves, Elasticsearch marks its shards unassigned and the cluster turns yellow, or red where no other copy exists. If the remaining nodes cannot take the replicas because of disk watermarks or allocation rules, it stays that way until someone reads the allocation explain output.

One lost node, shards unassigned

Three data nodes, one coordinating node, one index with a replica per shard

Illustrative

  1. Every shard has its primary and its replica on different nodes. The cluster is green and each data node carries about half its capacity.

  2. data-2 drops out. Its shards are unassigned and the cluster goes yellow, or red for any shard with no other copy. data-1 and data-3 absorb its traffic and run hot, and a disk watermark stops them taking the lost replicas.

  3. The blocker named by the allocation explain output is cleared. Shards recover from existing copies, the cluster returns to green and load levels out across the three nodes.

A cluster stuck yellow after a node restart is one of the most common calls AceMQ takes on Elasticsearch. Start with GET _cluster/allocation/explain on one unassigned shard: it names the blocker, usually a disk watermark, an allocation awareness rule or a replica count above the nodes left. The lasting fix is design: replica counts and awareness attributes that fit the node count, headroom under the low watermark, and delayed allocation so a short restart does not trigger a mass rebuild.

Our Services

Elasticsearch Consulting & Services

AceMQ runs five Elasticsearch service lines: architecture and implementation, performance tuning, migration, managed operations and health checks. A senior engineer leads each one, and any of them can roll into 24/7 support with a 15-minute emergency SLA.

  • 01

    Elasticsearch Architecture & Implementation

    We design cluster topologies, sharding strategies, and index lifecycles sized for your actual write and query load — not a default template that runs fine in staging and falls over at production volume.

    • Index and shard sizing based on write throughput, query patterns, and node capacity
    • Index Lifecycle Management (ILM) policy design: hot-warm-cold-frozen tiering
    • Mapping and analyzer design that avoids reindex-heavy schema changes later
    • Security hardening: role-based access control, field- and document-level security, inter-node TLS
  • 02

    Performance Tuning & Optimization

    Query latency creeping up, nodes running hot, or bulk indexing falling behind? We've diagnosed these patterns across clusters ranging from single-digit nodes to hundred-plus node deployments.

    • Shard rebalancing to eliminate hot-spotting and uneven node load
    • Query profiling and slow-log analysis to isolate expensive aggregations
    • JVM heap sizing and circuit breaker tuning to prevent OOM and long GC pauses
    • Bulk indexing throughput tuning: refresh interval, replica count, translog durability settings
  • 03

    Elasticsearch Migration & Modernization

    Whether you're moving off Solr, onto Elastic Cloud, or out of Elastic Cloud because the pricing stopped making sense — we plan the cutover and execute it without a search outage.

    • Apache Solr to Elasticsearch index design and query DSL translation
    • Self-managed cluster to Elastic Cloud migration with zero-downtime reindex-from-remote
    • Cost-driven Elastic Cloud exits to self-managed clusters or OpenSearch
    • Alias-based cutover strategy for breaking mapping changes without downtime
  • 04

    Managed Elasticsearch Operations

    Ongoing operational coverage for clusters that can't afford surprise downtime — with a named engineer who already knows your topology when something breaks.

    • 24/7 cluster monitoring: shard allocation, disk watermark thresholds, node health
    • Snapshot Lifecycle Management (SLM) configuration and disaster recovery testing
    • Version upgrade planning across major Elasticsearch releases
    • Kibana and observability stack (APM, Logs, Metrics) integration and maintenance
  • 05

    Elasticsearch Health Check & Assessment

    A structured audit of your cluster's actual state — not a checklist, a prioritized list of what will bite you first if left alone.

    • Cluster health audit: shard allocation, replication factor, node role balance
    • Security posture review: RBAC configuration, API key usage, network exposure
    • Mapping and index template review for schema drift and field explosion risk
    • Written report with prioritized remediation steps, ranked by production risk
  • 15 MIN SLA

    24/7 Elasticsearch 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 Elasticsearch support tiers

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

Contact Us

24/7 Support

Elasticsearch Support When It Matters Most

AceMQ Elasticsearch support gives you named senior engineers and a 15-minute first response when a cluster goes red, 24/7. Lower severities get 1-hour, 4-hour and next-day responses. The same tiers apply to Elastic Cloud, ECK and self-managed clusters.

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

Compare Elasticsearch support plans

How It Works

What actually happens next

An AceMQ Elasticsearch engagement runs in four stages: a cluster and index review of 1 to 2 weeks, written findings within a week, changes made behind aliases with your engineers, then a handover with runbooks. Each stage ends in writing before anything changes.

1–2 weeks

Cluster and index review

We look at shard count and sizing against node heap, mapping growth, ILM policy against the retention you actually need, the shape of your queries and aggregations, and recovery settings.

Within a week

Written findings and plan

Which indices and which queries are causing the pressure, what is merely correlated with it, and what to change first. Written so your own engineering leadership can sign it off.

Scoped per engagement

Implementation alongside your team

Reindexing and mapping changes run behind aliases, rebalancing throttled so search stays available, node changes made one at a time.

Ongoing

Handover and optional cover

Runbooks for unassigned shards, snapshot restore and rolling upgrade, plus 24/7 support with a 15-minute emergency SLA if you want it.

  • Written findings before any change
  • Reindex and mapping changes run behind aliases
  • 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 Elasticsearch Results

Elasticsearch work from AceMQ, from a cluster stuck yellow after a node loss to heap pressure, oversharding and index lifecycle 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 Elasticsearch.

AceMQ covers Elasticsearch end to end: cluster consulting and migrations, 24/7 support and incident management, proactive monitoring, managed clusters on your infrastructure or on AceMQ's, OSSeva patches for 7.10.2 and 7.17, and a fixed-price health check.

Projects

Build, fix or move Elasticsearch

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 Elasticsearch 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 Elasticsearch for you.

Compare the four Elasticsearch support tiers

Side by side

Elasticsearch, OpenSearch or a managed service: which route fits?

Elasticsearch and OpenSearch share a Lucene core but differ in licence, governance and which security features are free, and either can run self-managed or as a managed service. Choose on licence and features, not on how short the migration looks. AceMQ supports all three routes, and each row below answers one question.

Self-managed Elasticsearch, self-managed OpenSearch and managed services compared on licence, governance, security, patching, AceMQ cover and fit
QuestionElasticsearch (self-managed)OpenSearch (self-managed)Managed service (Elastic Cloud or Amazon OpenSearch Service)
What is the licence?Source under AGPLv3, SSPL 1.0 or the Elastic License 2.0. Elastic's default binaries use the Elastic License 2.0, which bars offering Elasticsearch to others as a service.Apache 2.0 for OpenSearch and OpenSearch Dashboards.Elastic Cloud runs Elasticsearch under Elastic's terms. Amazon OpenSearch Service runs Apache 2.0 OpenSearch and is billed by AWS.
Who governs the project?Elastic.The OpenSearch Software Foundation, hosted by the Linux Foundation since 16 September 2024.Elastic or AWS operates the service. Governance of the software is as in the first two columns.
Which security features are free?TLS and role-based access control are free. Field- and document-level security needs a paid subscription.The Security plugin includes TLS, roles, field- and document-level security and audit logging at no charge.Elastic Cloud follows the subscription tier you buy. Amazon OpenSearch Service offers fine-grained access control with IAM, SAML or Cognito sign-in.
Who patches and upgrades it?You, or AceMQ under support. Elasticsearch 7.17 is out of Elastic support and 8.x maintenance ends on 15 January 2027.You, or AceMQ under support. 1.x is end of life and 2.x is maintained until 4.0 ships.The provider, through rolling or blue/green deployments. Shard design, mappings and query cost stay with you.
What does AceMQ add?24/7 support, written root-cause analysis on every P1, and OSSeva patched builds of 7.10.2 and 7.17.24/7 support for the cluster, the Security plugin, ISM and OpenSearch Dashboards.Support for the layer the provider does not cover: shard strategy, mappings, queries, lifecycle policies, roles and cost.
When does it fit?You rely on ES|QL, Kibana's solutions or Elastic's machine learning, or you want Elastic's own releases.You need Apache 2.0 terms, a fully open security stack, or you offer search to others as a service.You want the provider to run nodes and upgrades and can accept its limits, such as storage ceilings and blue/green updates.

For the full side-by-side, read OpenSearch vs Elasticsearch compared. For version dates and what to do after end of support, see Elasticsearch end of life dates.

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

Contact Us

One partner, not five

We Support Your Entire Tech Stack

Elasticsearch 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 Elasticsearch.

Guides from AceMQ engineers on Elasticsearch end of life dates, support options and the move to OpenSearch, plus the AceMQ services for the search and log tools that usually sit next to it.

Related services

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

Contact Us

FAQs

Elasticsearch Questions Answered

Seven answers on Elasticsearch from AceMQ: end-of-life versions, who answers when a cluster goes red, how an engagement starts, working with your team, yellow clusters, heap pressure and where to run it.

Still have questions about Elasticsearch? Email an Expert

Which Elasticsearch versions are end of life, and what can we do about it?

Elasticsearch 7.17 is past end of support (15 January 2026), 8.x maintenance ends on 15 January 2027, and 9.x is current. AceMQ supports 7.x and 8.x clusters and, through OSSeva, provides patched builds of self-managed 7.10.2 and 7.17, so a cluster can stay on its version while the move to 8.x, 9.x or OpenSearch is planned.

Who answers when an Elasticsearch cluster goes red, and how fast?

A named AceMQ senior engineer answers within 15 minutes, 24/7, when a cluster is red or ingest has stopped. 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 you get a written root-cause analysis after every P1.

How does an Elasticsearch engagement with AceMQ start?

It starts with a free consultation with a senior engineer, booked in our reply within 1 hour. A cluster and index review of 1 to 2 weeks follows, covering shard layout, mappings, ILM, query shape and recovery settings. Written findings and a plan arrive within a week, and nothing in the cluster changes before you have read them.

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

Yes. A named senior engineer works with your engineers rather than around them, changing templates, ILM policies and allocation settings together. Mapping and reindex changes run behind aliases, node changes go one at a time, and you keep the runbooks for unassigned shards, snapshot restore and rolling upgrades when the work ends.

Why does our Elasticsearch cluster keep going yellow, and can it be fixed for good?

A cluster that keeps going yellow usually has more replicas than nodes to hold them, allocation awareness rules that no node can satisfy, or disk watermarks that trip during merges and snapshots. AceMQ reads the allocation explain output for one unassigned shard, clears that blocker, then changes templates and watermark settings so the next restart does not repeat it.

Our Elasticsearch heap stays high and queries trip circuit breakers. What causes it?

The usual causes are thousands of small shards eating heap, fielddata loaded by sorting or aggregating on text fields, and terms aggregations over high-cardinality keys. AceMQ checks shard count against heap, the breaker counters and the slow log, then fixes the index design or the query before adding nodes, because extra nodes rarely cure an oversharded cluster.

Should we run Elasticsearch ourselves, on Elastic Cloud, or with AceMQ managing it?

Elastic Cloud suits data that can live in a deployment Elastic runs, and it removes node upgrades. AceMQ managed operations suit clusters that stay on your infrastructure, on premises, air-gapped or in your own cloud account. On either route, shard strategy, mappings and query cost still need an owner, and AceMQ supports both.

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

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

Every AceMQ proposal is tailored to your requirements: your Elasticsearch 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 Elasticsearch 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 Elasticsearch Cluster?

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

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

Production incident right now?Email an Elasticsearch Architect

Get in Touch

Talk to an Elasticsearch 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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