24/7 RabbitMQ Support
Keep Your Message Broker
Running at Full Throughput
We are Open source Code Contributor
Zero-Day Vulnerability Fixes
Critical Vulnerability Assessment
Roadmap & Recommendations
SLA-Backed Technical Support
Zero-Day Vulnerability Fixes
Critical Vulnerability Assessment
Roadmap & Recommendations
SLA-Backed Technical Support
RabbitMQ Support Service Built to Meet the World's Strictest Data Standards
En(AI)blingTM Success for Industry Leaders
RabbitMQ Support Services Packages
Every plan is designed around a specific operational reality. Choose the one that matches how critical your RabbitMQ environment is and how fast you need us to respond when something breaks.
Standard
Advanced
Platinum
What Ksolves Has Delivered for Organizations Running RabbitMQ at Scale
Across e-commerce, logistics, fintech, and healthcare, enterprises running RabbitMQ at scale have one thing in common. They stopped losing messages and missing SLAs after Ksolves took over with its AI-First Approach and managed RabbitMQ support.
99.99%
SLA Maintained
SLA Maintained
Ksolves maintains 99.99% uptime across Spark client environments through proactive executor health monitoring, automated job recovery, and incident response that resolves before the business notices.
40%
Lower TCO
Lower TCO
From executor right-sizing and dynamic resource allocation to eliminating redundant shuffle operations, Ksolves reduces total cost of ownership by 40% without touching job performance or reliability.
98%
Contract Renewal Rate
Contract Renewal Rate
98% of clients running Spark with Ksolves renew. Why? Because OOM errors stopped, jobs run on time, and the team stopped getting paged at 2am.
30 Min
Min Turnaround Time
Min Turnaround Time
When a Spark cluster goes down in production, Ksolves engineers are diagnosing the DAG within 30 minutes, keeping pipelines running and data teams unblocked.
RabbitMQ Support Services to Keep Your Full Messaging Infrastructure Always Running
From broker deployment and exchange configuration to performance tuning and 24x7 RabbitMQ managed support, one team handles your entire RabbitMQ environment.
24/7 RabbitMQ Maintenance and Cluster Operations
Our dedicated RabbitMQ cluster support team is available around the clock under a formal RabbitMQ support contract, with zero distraction to your development and platform teams.
- Continuous cluster health monitoring via rabbitmq_management API — node memory, disk free alarms, and fd_used tracking
- Memory and disk alarm response with vm_memory_high_watermark tuning and disk_free_limit reconfiguration
- Node failure detection, restart validation, and cluster re-join for single-node and multi-node deployments
- Queue depth alerting for consumer lag, ready messages, and unacked message accumulation
- Virtual host (vhost) lifecycle management, creation, permission assignment, and resource limits
- Monthly health reviews covering queue type distribution, connection trends, and channel utilisation with architecture advisory
RabbitMQ Setup, Configuration, and Production Deployment
New RabbitMQ deployment, Spring Boot RabbitMQ integration, or migration from a legacy broker, we deliver the full stack production-ready with runbooks included.
- Broker architecture design, vhost structure, exchange type, queue topology, binding strategy, and dead letter handling
- RabbitMQ Cluster Operator deployment on Kubernetes with PodDisruptionBudget, persistent volumes, and quorum queue setup
- Single-node to multi-node cluster setup with replication factor and partition handling (pause-minority or autoheal)
- Spring Boot RabbitMQ integration via spring-rabbit, connection factory tuning, @RabbitListener concurrency, and DLQ wiring
- Shovel and Federation plugin configuration for cross-cluster and cross-datacenter message routing
- CI/CD pipeline for vhost, exchange, queue, and policy config using rabbitmqadmin and Infrastructure as Code tooling
RabbitMQ Version Upgrades and Zero Message Loss Migration
RabbitMQ version upgrades, classic to quorum queue migration, or on-premises to Kubernetes move, all executed with full regression validation before cutover.
- Pre-upgrade audit covering deprecated features, Erlang/OTP compatibility, and plugin API changes
- Rolling cluster upgrade via blue-green node replacement with zero broker downtime
- Classic mirrored queue to quorum queue migration using rabbitmqctl set_policy with replication validation
- On-premises to RabbitMQ Kubernetes Operator migration with persistent volume mapping and queue state preservation
- Cross-broker migration from ActiveMQ or legacy AMQP brokers using Shovel-based message draining
- Post-upgrade validation with updated runbook documentation covering procedures and behaviour changes
Cluster Performance Tuning and Queue Optimization
We fix RabbitMQ performance at the queue type, consumer prefetch, flow control, and exchange routing layers, not at the symptom layer.
- Queue type assessment and migration from classic mirrored queues to quorum queues for write throughput and Raft-based HA
- Consumer prefetch (basic.qos) tuning per consumer for throughput and memory balance under variable message rates
- Flow control analysis to identify blocked connections from memory or disk alarms and resolve producer pressure
- Dead letter exchange (DLX) and TTL design to prevent unbounded queue growth from rejected or unprocessed messages
- Exchange and binding topology optimisation to reduce fanout overhead and routing table lookups
- Publisher confirms and consumer acknowledgement mode review to balance delivery guarantees and throughput
Full-Stack RabbitMQ Visibility and Proactive Alerting
RabbitMQ monitoring services with rabbitmq_prometheus plugin instrumentation across critical broker signals and diagnostic reporting aligned with production best practices.
- Grafana dashboards covering queue depth, message rates (publish, deliver, ack), consumer count, and node memory
- Per-queue consumer lag alerting via rabbitmq_queue_messages_ready and rabbitmq_queue_messages_unacked to Slack, PagerDuty, or OpsGenie
- Node observability via process memory, I/O ops, and Erlang GC metrics with root cause analysis on channel errors
- Dead letter exchange (DLX) queue depth monitoring to detect message rejection spikes and consumer error patterns
- Federation plugin and Shovel link health monitoring for cross-cluster and cross-datacenter pipelines
RabbitMQ Security Hardening for GDPR, HIPAA, SOC 2
Authentication, encryption, access control, and audit logging across your RabbitMQ enterprise support deployment, without impacting message throughput or broker stability.
- TLS on AMQP, AMQPS, MQTT, STOMP, and Management HTTP API with automated certificate rotation
- LDAP authentication and OAuth 2.0 via rabbitmq_auth_backend_oauth2 for token-based access to Management UI and AMQP connections
- Per-vhost permission policies restricting configure, write, and read to authorised applications only
- Kubernetes network policies restricting AMQP (5672) and Management API (15672) ports by namespace and pod selector
- Secrets migration from hard-coded credentials to Kubernetes Secrets, HashiCorp Vault, or AWS Secrets Manager
Through the Client's Lens
Why Ksolves Is a Trusted Choice of Global Teams for RabbitMQ Enterprise Support?
As a RabbitMQ managed service provider trusted by USA teams, Ksolves handles everything from memory alarm resolution and SOC 2 hardening to routine RabbitMQ maintenance support, so your infrastructure team is never the bottleneck.
90%
Client Retention Rate
750+
Projects Successfully
Delivered
NSE & BSE
Publicly Listed
Company
600+
Workforce and still
growing
350+
Certifications
200+
Happy Clients
150K+
Support Hours
Completed
Industries We Help Scale with RabbitMQ
Every industry runs RabbitMQ differently, and Ksolves tailors RabbitMQ support services around unique message volume, delivery guarantees, compliance requirements, and queue topology demands.
Telecom
We manage RabbitMQ cluster support for CDR event routing, network notification pipelines, and provisioning workflow queues across distributed carrier infrastructure with quorum queue high availability.
Healthcare
We manage HIPAA-compliant RabbitMQ deployments for HL7 and FHIR message routing, patient event notifications, and audit-ready broker configurations with per-vhost access controls and TLS enforcement.
E-commerce
We maintain RabbitMQ environments handling order processing event queues, inventory notifications, and payment workflow messaging with dead letter exchange policies and consumer prefetch tuning for peak traffic.
Fintech
We manage RabbitMQ for transaction event routing, fraud signal pipelines, and regulatory reporting queues, where publisher confirms and zero message loss are non-negotiable compliance requirements.
Entertainment
We support RabbitMQ deployments processing user engagement events, content delivery notifications, and recommendation pipeline triggers with high-throughput quorum queues for audience-scale message rates.
Manufacturing
We manage RabbitMQ routing IoT sensor notifications, MES workflow triggers, and production alert queues with TTL-based message expiry and dead letter handling for time-sensitive shop floor events.
Retail
We manage RabbitMQ handling POS transaction queues, loyalty update notifications, and inventory sync messaging across physical and digital channels with guaranteed delivery and consumer failover.
Banking and Financial Services
We support banking institutions with encrypted RabbitMQ deployments, vhost-isolated queue topologies, and audit-ready configurations for payment processing and settlement notification pipelines.
Logistics and Supply Chain
We manage RabbitMQ for shipment status event routing, warehouse automation triggers, and carrier webhook queues with Shovel-based cross-site delivery and real-time consumer lag dashboards.
Technology and SaaS
We manage RabbitMQ deployments handling multi-tenant event pipelines, background job queues, and webhook delivery with Spring Boot RabbitMQ integration support across AWS, GCP, and Azure.
Ksolves: Insights from Enterprise Experts
Explore the latest real-time data processing trends, stream processing strategies, and expert insights for building scalable, reliable, and high-performance data environments.
Success Stories from Global Enterprises
Ksolves Big Data Experts have delivered excellence for multiple clients operating across industries. Explore the case studies and experience the Ksolves Impact.
Multi-Site CDR Pipeline for a Telecom Operator Across 4 Remote Locations
Challenge
CDR data from 4 remote sites had no unified ingestion- billing reconciliation was fully manual, causing revenue leakage as subscriber volumes grew.
Solution
NiFi agents at all 5 sites feed Kafka → Spark → Druid, with live Superset dashboards for billing and network teams.
Sub-second
Query Response on Live CDR Data
NiFi 1.27 → 2.7 Kubernetes Migration- Financial Services
Challenge
NiFi 1.27 is running on bare metal with no SSO, no scalability, and a growing compliance pipeline that the architecture couldn't support.
Solution
Migrated to NiFi 2.7 on Kubernetes with OneLogin SSO integration, zero downtime, completed in 6 weeks.
3X
Scalability Headroom - 6 Weeks, Zero Downtime
Eliminating ~900K Duplicate Oil Well Records via Azure Databricks
Challenge
The same wellbore appeared under 3–4 different IDs across 6,200 Excel files and 8 systems, causing royalty errors and a BLM audit risk.
Solution
Azure Databricks + PySpark deduplication with geospatial blocking and an ML model (F1=0.971), plus a human-in-the-loop MDM review portal.
~900K
Duplicate Records Eliminated
Petabyte CDR Migration from MapR to ClickHouse -Zero Data Loss
Challenge
Years of CDR data on an end-of-life MapR platform with no vendor support. Compliance queries took 4–6 hours, and regulators required signed proof of zero data loss.
Solution
Spark migrated data in resumable batches with 4 automated validation checks per batch. NiFi produced a signed migration certificate. ClickHouse was optimised for compliance queries from day one.
<8s
Compliance Query Time (from 4–6 hours)
Multi-Site CDR Pipeline for a Telecom Operator Across 4 Remote Locations
Challenge
CDR data from 4 remote sites had no unified ingestion- billing reconciliation was fully manual, causing revenue leakage as subscriber volumes grew.
Solution
NiFi agents at all 5 sites feed Kafka → Spark → Druid, with live Superset dashboards for billing and network teams.
Sub-second
Query Response on Live CDR Data
NiFi 1.27 → 2.7 Kubernetes Migration- Financial Services
Challenge
NiFi 1.27 is running on bare metal with no SSO, no scalability, and a growing compliance pipeline that the architecture couldn't support.
Solution
Migrated to NiFi 2.7 on Kubernetes with OneLogin SSO integration, zero downtime, completed in 6 weeks.
3X
Scalability Headroom - 6 Weeks, Zero Downtime
Eliminating ~900K Duplicate Oil Well Records via Azure Databricks
Challenge
The same wellbore appeared under 3–4 different IDs across 6,200 Excel files and 8 systems, causing royalty errors and a BLM audit risk.
Solution
Azure Databricks + PySpark deduplication with geospatial blocking and an ML model (F1=0.971), plus a human-in-the-loop MDM review portal.
~900K
Duplicate Records Eliminated
Petabyte CDR Migration from MapR to ClickHouse -Zero Data Loss
Challenge
Years of CDR data on an end-of-life MapR platform with no vendor support. Compliance queries took 4–6 hours, and regulators required signed proof of zero data loss.
Solution
Spark migrated data in resumable batches with 4 automated validation checks per batch. NiFi produced a signed migration certificate. ClickHouse was optimised for compliance queries from day one.
<8s
Compliance Query Time (from 4–6 hours)
Frequently Asked Questions
Everything you need to know before signing a RabbitMQ support partner
RabbitMQ not connecting is usually caused by the broker process being down, the AMQP port (5672 or 5671 for TLS) being blocked by a firewall or Kubernetes network policy, or the node being paused due to a pause-minority partition policy. Ksolves checks node status via rabbitmqctl status, reviews listener config in rabbitmq.conf, and inspects network policies to isolate the root cause.
A RabbitMQ memory alarm-triggered event blocks all producers when broker’s memory crosses vm_memory_high_watermark. The most common causes are missing dead letter exchange policies causing rejected messages to requeue infinitely, and oversized basic.qos prefetch counts. Ksolves audits queue depth, configures DLX policies, tunes prefetch per consumer, and recalibrates the memory watermark.
RabbitMQ consumer not receiving messages typically points to a missing or incorrect binding between the exchange and queue, the consumer channel being in a blocked state, basic.qos prefetch set to 0 with unacked messages exhausting the limit, or the queue being bound to a different vhost. Ksolves diagnoses binding configuration, channel state, and prefetch settings via the rabbitmq_management API.
A RabbitMQ channel closed error is most often caused by an unhandled exception in the consumer, a basic. nack or basic.reject without a dead letter exchange configured, exceeding the per-connection channel limit, or publishing to a non-existent exchange. Ksolves identifies the error code in the channel close reason, checks DLX configuration, and tunes channel limits in rabbitmq.conf.
Classic mirrored queues are deprecated in RabbitMQ 3.12. Ksolves migrates in batches using rabbitmqctl set_policy with a replication factor of 3, validates consumer reconnection and publisher confirms after each batch, and executes all cutovers during low-traffic windows with zero message loss.
Our RabbitMQ enterprise support covers 24×7 cluster health monitoring, memory and disk alarm response, quorum queue migration, version upgrades, TLS/LDAP/OAuth2 security hardening, federation plugin and Shovel management, Spring Boot RabbitMQ integration support, and a written post-incident report for every critical event.
Yes. Every RabbitMQ support contract includes 30-minute acknowledgment and 2-hour resolution for critical incidents, 1-hour acknowledgment and 6-hour resolution for high-severity issues, and 2-hour acknowledgment with 10-business-day resolution for normal requests. RabbitMQ SLA support applies 24×7 across all geographies without surcharge.
RabbitMQ managed support services from Ksolves cover bare-metal Linux, AWS EC2, GCP, Azure VMs, Kubernetes via RabbitMQ Cluster Operator and Helm, managed services (EKS, AKS, GKE), and hybrid topologies using the federation plugin or Shovel. We also support RabbitMQ on OpenShift and Rancher.
Our RabbitMQ commercial support covers Spring Boot RabbitMQ integration, including Spring Rabbit Connection Factory, RabbitTemplate tuning, @RabbitListener concurrency and prefetch, DLQ wiring via DeadLetterExchangePostProcessor, and publisher confirms via ConfirmCallback. We resolve connection pool exhaustion, listener thread starvation, and message conversion errors.
Yes. Ksolves provides RabbitMQ support services in the USA with US-business-hours-aligned and global 24×7 follow-the-sun coverage. US clients receive a formal RabbitMQ support contract with documented SLA tiers, a dedicated Jira portal, and quarterly architecture reviews.
