Apache Storm
Support Services
Keep Every Topology
Running at Full Speed
Active Contributor to Open Source
100+
Tickets
Contributed
30+
Open
Tickets
17+
Total
Contributors
Apache Storm Support Services Built to Meet the World's Strictest Data Standards
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
En(AI)blingTM Success for Industry Leaders
Apache Storm Support Packages
Every Apache Storm support plan is designed around a specific operational reality. Choose the one that matches how critical your real-time processing environment is and how quickly you need expert help when a topology goes down.
Standard
Advanced
Platinum
What Ksolves Has Delivered for Organizations Running Apache Storm at Scale
Organizations across telecom, fintech, and IoT rely on Ksolves for Apache Storm enterprise support services that keep long-running topologies stable, backed by 24/7 engineering coverage and enterprise-grade SLAs.
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.
End-to-End Apache Storm Support Services
From initial topology design and parallelism planning to worker-level performance tuning and 24/7 incident response, one team handles your entire Storm lifecycle under a single Apache Storm support SLA.
Apache Storm Setup and Configuration Support
Getting parallelism, ZooKeeper coordination, and worker resource allocation right at rollout avoids most of the bottleneck and instability issues teams run into later.
- Storm cluster installation with Nimbus, Supervisor, and ZooKeeper ensemble topology design
- Topology submission setup with parallelism configuration across worker, executor, and task counts
- Stream grouping strategy design mapped to actual data flow between spouts and bolts
- Acking and reliability configuration matched to delivery guarantee requirements
- Initial performance baseline before production rollout
Managed Apache Storm Support
Day-to-day operations run through ongoing Apache Storm maintenance services that keep Nimbus, Supervisors, and worker processes healthy without disrupting live topologies.
- Nimbus and Supervisor daemon health monitoring across the cluster
- Worker process and executor lifecycle monitoring, including automatic restart validation
- ZooKeeper coordination maintenance, including znode cleanup for retired topologies
- Topology and configuration version governance across environments
- Monthly health reviews covering throughput, acking rates, and worker stability trends
24/7 Apache Storm Support
Worker failures and tuple replay storms get caught before they surface as a processing backlog, through continuous Apache Storm monitoring built for Storm's own architecture.
- Nimbus and Supervisor daemon availability tracking
- Worker process and executor-level metrics collection
- Tuple acking rate and replay frequency monitoring to catch failing bolts early
- Topology throughput and latency tracking across the full spout-to-bolt pipeline
- Alert routing across Slack, PagerDuty, and OpsGenie with runbook links
Apache Storm Performance Tuning Service
Slow topologies get fixed at the root, not patched by throwing more worker nodes at the problem.
- Parallelism tuning across worker process count, executor count, and task count per spout/bolt
- Stream grouping strategy review to reduce unnecessary network shuffling between bolts
- Acking timeout tuning to reduce unnecessary tuple replay without sacrificing reliability
- JVM heap and garbage collection tuning per worker process for topologies under heavy load
- Load testing and bottleneck isolation across the full spout-to-bolt pipeline
Apache Storm Health Check
Hidden risk in a Storm cluster rarely announces itself until a worker starts restarting repeatedly or Nimbus loses track of a topology. Every deployment gets audited, assessed, and reported on to catch that risk first.
- Full topology and cluster inventory audit
- Parallelism and stream grouping configuration review, flagging bottleneck bolts
- ZooKeeper coordination and znode health review
- Version and CVE exposure review against known Storm advisories
- Written report with severity-ranked findings and projected reliability improvement
Apache Storm Migration and Upgrade Support
Migrating a long-running topology to a newer Storm version, or documenting and modernizing a legacy deployment, happens with full validation before cutover.
- Pre-upgrade audit covering deprecated APIs and topology compatibility
- Version upgrade validation across Nimbus, Supervisor, and worker nodes
- Legacy topology documentation and re-parallelization planning for deployments with years of undocumented tuning
- Rolling upgrade orchestration to avoid cluster-wide downtime
- Rollback planning for every migration and upgrade stage
Apache Storm Security & Compliance
Known vulnerabilities left open in a cluster processing production event streams are just a matter of time before they're exploited.
- Authentication and authorization hardening across Nimbus, Supervisor, and worker communication
- ZooKeeper access control and secure coordination configuration
- TLS/SSL enforcement across inter-node cluster communication
- CVE monitoring and patch alerts tied to the Apache Storm security advisory feed
- GDPR, HIPAA, and SOC 2-aligned data handling for regulated streaming workloads
Apache Storm Expert Support & Consulting
Senior-level stream processing expertise is available without the hiring overhead, backed by a formal Apache Storm support contract with clearly defined escalation paths.
- Expert guidance on topology design, parallelism strategy, and stream grouping for specific throughput needs
- Legacy versus modern streaming architecture reviews for teams evaluating migration options
- Capacity planning covering worker count, executor sizing, and ZooKeeper ensemble scaling
- Support contract with dedicated engineer access and monthly reviews
- Performance profiling for topologies with unexplained latency or worker instability
Through the Client's Lens
Why Ksolves Is a Trusted Choice of Global Teams for Apache Storm Support
Ksolves is your trusted managed Apache Storm support services partner. From worker crashes and ZooKeeper drift to parallelism tuning and legacy topology migrations, we keep your real-time pipelines stable and production-ready.
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 Apache Storm
Every industry runs Apache Storm differently. Ksolves tailors its Apache Storm support services around unique throughput requirements, topology complexity, compliance obligations, and operational demands.
Telecom
Real-time processing of call detail records and network event streams at carrier scale. Ksolves manages parallelism and worker stability for continuous-uptime processing.
Healthcare
HIPAA-compliant real-time processing of device telemetry and clinical event streams. Ksolves manages encrypted inter-node communication and access control across the cluster.
E-Commerce
Real-time clickstream and inventory event processing during peak traffic. Ksolves tunes parallelism and stream grouping for seasonal surges.
Fintech
Low-latency processing of transaction and fraud-detection event streams. Ksolves manages Apache Storm SLA support where processing latency directly affects compliance.
Manufacturing
High-volume IoT sensor stream processing feeding operational alerts. Ksolves manages topology performance for continuous, high-volume ingestion.
Retail
Real-time POS and inventory event processing across peak periods. Ksolves keeps topologies performant through seasonal traffic surges.
Banking and Financial Services
Strict security and guaranteed availability for transaction-processing topologies. Ksolves provides managed Apache Storm service provider support across multiple jurisdictions.
Logistics and Supply Chain
Real-time shipment and tracking event processing feeding operational dashboards. Ksolves manages topology reliability where data freshness has direct cost implications.
Technology and SaaS
Long-running, legacy Storm topologies maintained without dedicated streaming engineering headcount. Ksolves provides the Apache Storm managed services that make it sustainable.
Aviation
Deliver zero-downtime data migration and integration services that keep flight operations, crew scheduling, and maintenance data flowing without disruption.
Oil and Gas
Provide secure, phased data migration services that keep exploration, production, and pipeline monitoring data flowing without interrupting field operations.
Frequently Asked Questions
It covers 24/7 Nimbus and Supervisor health monitoring, worker and executor tracking, and ZooKeeper coordination maintenance. It also includes parallelism tuning, version upgrades, security hardening, and root cause analysis for every critical incident, all backed by a defined Apache Storm support SLA.
Most commonly, a single bolt with insufficient parallelism creates a bottleneck, causing upstream tuples to queue and eventually time out into a replay cycle. Ksolves uses executor-level metrics and stream lineage tracing to find the exact bottleneck and rebalance parallelism accordingly.
Yes. Ksolves audits deprecated APIs and topology compatibility before the upgrade, then validates every change in a staging cluster before production cutover through a staged rollout across Nimbus, Supervisor, and worker nodes, with rollback capability in place throughout.
Worker restarts are commonly caused by JVM heap sizing that hasn’t kept pace with traffic growth. A topology change that increased memory pressure per worker beyond current allocation can also be the cause, and both get corrected together during performance tuning.
Storm achieves availability through Nimbus and Supervisors’ fail-fast, stateless design, with cluster state persisted in ZooKeeper so a failed Nimbus can restart and resume. Ksolves designs multi-node Supervisor topologies for automatic worker reassignment, and configures Nimbus HA separately where new topology submissions can’t afford downtime.
This is frequently tied to ZooKeeper coordination degradation, often caused by znode buildup from previously retired topologies. Ksolves implements regular znode cleanup as part of ongoing cluster maintenance to prevent this.
Excessive replay is usually caused by acking timeouts set too aggressively relative to actual processing time. It can also come from a bottlenecked bolt causing legitimate tuples to time out before acknowledgment, so Ksolves tunes acking configuration and parallelism together to fix this without sacrificing delivery guarantees.
Yes. Legacy topology maintenance is one of the most common reasons teams bring in Apache Storm support, since custom tuple-flow logic built up over years often has no remaining documentation. A full topology audit and documentation pass always comes before any change is made.
Yes, with US hours and 24/7 global coverage. European clients receive GDPR-compliant configurations with audit logging enabled, and our Apache Storm support SLA covers 30-minute acknowledgment and 2-hour resolution for critical incidents across all geographies.
