AceMQ supports streaming infrastructure for more than 130 enterprise customers across 26+ countries, and Redpanda operates on the same model: named senior engineers, a 15-minute emergency SLA, and no tier-1 layer between the customer and someone who can read a Raft log.
Production streaming incidents do not wait for business hours. A node fails to rejoin after a restart and a partition sits without quorum; consumer lag climbs on a topic feeding a downstream regulated process; an upgrade changes a default and a client library that had worked for two years starts timing out. The team needs someone who has seen the failure mode before, immediately.
Redpanda clusters on Kubernetes, cloud instances, or bare metal, with mixed client languages and Kafka-compatible tooling.
AceMQ engineers work from cluster and Raft group state, per-partition metrics, and client-side logs together, so incidents that look like broker problems but originate in client configuration get attributed correctly. Every incident closes with a written root cause and the specific change that prevents recurrence.
Customers resolve Redpanda production incidents in hours instead of days and stop carrying the risk of a single internal expert being the only person who understands the cluster.
Resolving produce and consume latency spikes traced to Raft leadership imbalance, disk saturation, and partition distribution across brokers.
Migrating from Kafka to Redpanda with client compatibility testing, ACL and schema registry translation, and a staged cutover per topic.
Whether you need architecture advisory, 24/7 support, or full managed services, AceMQ has the expertise to help.