24/7 Apache Kafka Support
Keep Kafka Clusters Stable, Scalable, and Always Available
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
Compliance-Driven Delivery for Enterprise-Grade Reliability
En(AI)blingTM Success for Industry Leaders
Apache Kafka Support Packages
Our managed Apache Kafka service plans are structured to match your scale, SLA expectations, and incident tolerance.
Standard
Advanced
Platinum
Numbers That Reflect Real Engineering Work - Not Estimates.
Organizations rely on Ksolves for Apache Kafka optimization, migration, monitoring, and 24x7 support across high-volume streaming infrastructures.
99.99%
SLA Maintained
SLA Maintained
Ksolves holds 99.99% uptime across client environments through proactive monitoring, auto-healing pipelines, and zero-drama incident response.
40%
Lower TCO
Lower TCO
From licensing audits to compute consolidation, Ksolves cuts the total cost of ownership by 40%, without cutting corners on performance or reliability.
98%
Contract Renewal Rate
Contract Renewal Rate
We take pride in saying 98% of clients come back. Not because of lock-in, but because the work speaks for itself. That’s Ksolves Promise - on time, on budget, and exactly what was promised.
30 Min
Turnaround Time
Turnaround Time
Ksolves responds and resolves in under 30 minutes, keeping production running and teams unblocked.
Apache Kafka Support Services
Ksolves manages the complete Apache Kafka lifecycle, from deployment to 24x7 support and KRaft migration, so your teams can focus on innovation.
24/7 Managed Kafka Infrastructure
Our Kafka managed support services keep your cluster healthy, configured, and running 24x7 - so your engineers stay focused on product.
- Apache Kafka installation support across bare metal, Kubernetes, and cloud
- Kafka KRaft setup with controller quorum configuration and metadata management
- Automated backup scheduling and disaster recovery
- Configuration management with version-controlled history
- Regular Kafka health check service and performance summaries
Full-Stack Kafka Monitoring
Our Kafka cluster monitoring service catches consumer lag, URP spikes, and GC pressure before they reach production.
- Real-time cluster health dashboards on Prometheus, Grafana, and Datadog
- Fix Kafka consumer lag with per-partition tracking and threshold-based alerting
- Under-replicated partition (URP) and offline partition detection
- JVM GC log analysis correlated against broker latency
- End-to-end producer and consumer throughput visibility
Kafka Security, Compliance-Ready
Ksolves delivers Kafka security configuration support that satisfies GDPR, HIPAA, PCI-DSS, and SOC 2 without touching performance.
- SASL/SCRAM and SASL/GSSAPI (Kerberos) authentication setup
- Mutual TLS (mTLS) for client-to-broker and inter-broker encryption
- Kafka ACL configuration helps across topics, consumer groups, and transactional IDs
- Audit logging via Confluent Audit Logs or custom interceptor frameworks
- Compliance reporting for GDPR, HIPAA, PCI-DSS, and SOC 2
Zero-Downtime Kafka Upgrades
Every version transition is sequenced, validated, and executed with zero downtime by our Apache Kafka experts.
- Rolling broker upgrades with inter-broker protocol version management
- Pre-upgrade log format validation and compatibility assessment
- Kafka KRaft setup help - ZooKeeper-to-KRaft migration on Kafka 3.x with Kafka 3.9 bridge release planning
- Kafka 3.x to 4.x migration covering deprecated API removal and MirrorMaker 1 decommission
- Post-upgrade KIP-848 rebalance protocol verification and latency benchmarking
Peak Kafka Performance, Guaranteed
Our Apache Kafka experts fix performance at the root - broker, topic, or client - not at the symptom layer.
- Partition count and replication factor analysis to eliminate hot brokers and leader skew
- Kafka producer error troubleshooting - tuning batch.size, linger.ms, compression.type, and acks
- Consumer optimisation of fetch.min.bytes, max.poll.records, and session.timeout.ms
- Kafka offset out of range fix - log segment and retention tuning to prevent offset gaps
- JVM GC tuning - G1GC as the proven default; ZGC for large-heap, low-latency workloads on Java 17+
Kafka Architecture That Scales
Ksolves audits schema, partition key, and topology, and fixes the layer actually limiting throughput.
- Topic schema and partition key audit mapped against real throughput patterns
- Schema Registry governance with Avro, Protobuf, and JSON Schema enforcement
- Log-compacted topic design for event sourcing, changelog, and state store use cases
- Tiered storage for cost-effective long-term retention without broker disk pressure
- Kafka Streams and ksqlDB topology review, including state store and changelog topic design
Fast Recovery. No Repeat Incidents.
When a Kafka cluster is down, every second counts. Ksolves experts quickly restore the service and close the root cause so it never repeats.
- Immediate response to kafka broker not starting, controller elections, and partition leadership instability
- Consumer group rebalance storm diagnosis with static membership and KIP-848 review
- Replication lag diagnosis with targeted partition reassignment and throttle-controlled recovery
- EOS failure analysis covering producer idempotency and transactional coordinator state
- Fully documented Root Cause Analysis for engineering and compliance review
Through the Client's Lens
Why Ksolves is a Trusted Choice of Global Teams for Apache Kafka Support?
With certified Kafka experts and proven enterprise experience, Ksolves helps businesses optimize, secure, and scale their Kafka ecosystems without operational complexity.
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
Built for the Industries Where Kafka Cannot Afford to Fail
Ksolves delivers enterprise Apache Kafka support for industries where uptime, performance, and real-time data reliability are business-critical.
Financial Services & Fintech
Ksolves eliminates Kafka consumer lag and tunes producer idempotency to hold fraud detection and payment pipeline latency below 10ms under peak load.
Telecommunications
From log-compacted subscriber state topics to tiered CDR storage, Ksolves maintains five-nines availability across multi-region Kafka cluster support deployments.
Healthcare & Life Sciences
mTLS, SASL/GSSAPI, and Kafka ACL configuration - Ksolves enforces HIPAA-compliant security across every clinical Kafka pipeline.
Retail & E-Commerce
Ksolves redesigns topic architectures to absorb 20x write surges and resolves Kafka producer errors before the next flash sale hits.
Government & Public Sector
Multi-datacenter MirrorMaker 2 topologies, live DR validation, and RTO-aligned runbooks, Ksolves delivers Apache Kafka support built for national-scale infrastructure.
Media & Entertainment
We tune high-fan-out topic architectures and consumer parallelism to keep personalisation pipelines responsive at a global scale.
IoT & Manufacturing
Time-windowed retention, device state log compaction, and edge-to-cloud pipelines - all delivered as a managed Apache Kafka service.
Logistics & Supply Chain
Active-active MirrorMaker 2, acks=all with min.insync.replicas, and sub-hour RTO runbooks keep global logistics platforms online and in sync.
Ksolves on Kafka: Insights from Enterprise Experts
Read the latest trends, best practices, and actionable insights shaping modern enterprise technology.
Success Stories from Global Enterprises
Discover real-world case studies showcasing measurable outcomes, faster performance, and successful digital transformation journeys.
Kafka Disaster Recovery Across AWS & Azure
Challenge
No cross-cloud failover existed; a single cloud outage caused immediate data loss and broken SLA commitments.
Solution
Deployed Kafka MirrorMaker 2 for bidirectional replication across AWS and Azure clusters with TLS security, selective topic mirroring, automatic failover, and real failure testing.
Sub-30s
RTO Confirmed
Confluent to Open-Source Kafka Migration
Challenge
High Confluent licensing fees and vendor lock-in required urgent migration with zero downtime across 24x7 critical apps.
Solution
Ran full topology assessment, configured MirrorMaker 2 for live replication, executed phased app cutover, preserved schema compatibility, and safely decommissioned Confluent.
100%
Data Consistency Maintained
Predictive Cable Network Analytics Platform
Challenge
Legacy RDBMS couldn't store or query time-series data from millions of cable modem IoT devices at scale.
Solution
Deployed a 5-node Apache NiFi cluster and 10-node Cassandra cluster with a redesigned data model and elastic zero-downtime scaling capability.
Zero
Downtime During Scaling
Bulk Data Processing Optimization with Apache Spark
Challenge
Java microservices couldn't process high-volume nested JSON streams fast enough; each new data type required extensive custom code.
Solution
Replaced Java microservices with Apache Spark and Scala; used Spark SQL and metadata-driven mapping files to handle-30 JSON types without writing new code per type.
60%
Faster Bulk Data Processing
Zero-Downtime Kafka to Redpanda Migration
Challenge
Managed Kafka costs and operational complexity became unsustainable; migration needed 100% data integrity and zero downtime.
Solution
Used MirrorMaker 2.0 with source, checkpoint, and heartbeat connectors for live replication; implemented phased validation and auto-failover before full cutover
38%
Lower Streaming Costs · Zero Downtime
Kafka Disaster Recovery Across AWS & Azure
Challenge
No cross-cloud failover existed; a single cloud outage caused immediate data loss and broken SLA commitments.
Solution
Deployed Kafka MirrorMaker 2 for bidirectional replication across AWS and Azure clusters with TLS security, selective topic mirroring, automatic failover, and real failure testing.
Sub-30s
RTO Confirmed
Confluent to Open-Source Kafka Migration
Challenge
High Confluent licensing fees and vendor lock-in required urgent migration with zero downtime across 24x7 critical apps.
Solution
Ran full topology assessment, configured MirrorMaker 2 for live replication, executed phased app cutover, preserved schema compatibility, and safely decommissioned Confluent.
100%
Data Consistency Maintained
Predictive Cable Network Analytics Platform
Challenge
Legacy RDBMS couldn't store or query time-series data from millions of cable modem IoT devices at scale.
Solution
Deployed a 5-node Apache NiFi cluster and 10-node Cassandra cluster with a redesigned data model and elastic zero-downtime scaling capability.
Zero
Downtime During Scaling
Bulk Data Processing Optimization with Apache Spark
Challenge
Java microservices couldn't process high-volume nested JSON streams fast enough; each new data type required extensive custom code.
Solution
Replaced Java microservices with Apache Spark and Scala; used Spark SQL and metadata-driven mapping files to handle-30 JSON types without writing new code per type.
60%
Faster Bulk Data Processing
Zero-Downtime Kafka to Redpanda Migration
Challenge
Managed Kafka costs and operational complexity became unsustainable; migration needed 100% data integrity and zero downtim
Solution
Used MirrorMaker 2.0 with source, checkpoint, and heartbeat connectors for live replication; implemented phased validation and auto-failover before full cutover
38%
Lower Streaming Costs · Zero Downtime
Frequently Asked Questions
Everything you need to know before choosing a Kafka support partner.
Apache Kafka support services cover the full operational lifecycle of a Kafka deployment – from initial Kafka cluster setup service and configuration through 24×7 monitoring, performance tuning, security hardening, version upgrades, and emergency incident response. Ksolves provides all of this under one SLA-backed engagement.
Fixing Kafka consumer lag requires identifying whether the root cause is slow consumer processing, insufficient parallelism relative to partition count, broker I/O saturation, GC pauses, or rebalance storms. Ksolves resolves lag at the source using per-partition offset analysis, consumer group state inspection, and broker-level diagnostics.
Kafka broker not starting is typically caused by a corrupted log segment, KRaft metadata mismatch, port conflict, or misconfigured server.properties. Ksolves performs systematic startup diagnostics to identify and resolve the issue with minimal downtime.
Managed Apache Kafka service from Ksolves includes cluster installation and configuration, 24×7 monitoring, consumer lag management, security controls, version upgrades, performance tuning, and SLA-backed incident response – one team covering the full Kafka lifecycle.
Kafka ACL configuration controls which users and applications can read from, write to, or manage specific topics, consumer groups, and transactional IDs. Ksolves configures ACLs using Kafka’s native authorizer, enforcing least-privilege access across all cluster resources for GDPR, HIPAA, and SOC 2 compliance.
Kafka offset out of range error occurs when a consumer requests an offset that no longer exists due to log retention expiry or segment deletion. Ksolves resolves this by tuning log retention settings, adjusting auto.offset.reset policy, and redesigning retention boundaries to prevent recurrence.
Kafka kraft setup replaces ZooKeeper with Kafka’s native Raft-based metadata management. From Kafka 4.0, KRaft is the only supported mode. Ksolves manages ZooKeeper-to-KRaft migration on Kafka 3.x using the Kafka 3.9 bridge release before executing the 4.0 upgrade.
Kafka producer error troubleshooting starts with inspecting producer logs for timeout, retriable, or non-retriable exceptions, then correlating against broker availability, acks configuration, network latency, and batch sizing. Ksolves traces every producer failure to its root configuration or infrastructure cause.
Kafka health check service assesses cluster state across broker availability, partition replication health, consumer group lag, JVM GC behaviour, disk utilisation, and network throughput. Ksolves delivers scheduled health checks with written findings and prioritised remediation recommendations.
Kafka 4.0 (March 2025) permanently removed ZooKeeper – KRaft is the only supported metadata mode. It also made the KIP-848 consumer rebalance protocol generally available, introduced Share Groups (KIP-932), and removed MirrorMaker 1. Ksolves manages the full 3.x to 4.x transition, including Kafka kraft setup, KIP-848 validation, and MM2 cutover.
