24/7 Apache Beam
Support Services
Keep Beam Pipelines Fast,
Reliable, and Always On
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
Apache Beam Support That's Built to Meet the World's Strictest Data Standards
En(AI)blingTM Success for Industry Leaders
Apache Beam Support Packages
Every plan is designed around a specific operational reality. Choose the Apache Beam support service tier that matches how mission-critical your pipeline environment is and how fast you need expert intervention when production goes down.
Standard
Advanced
Platinum
What Ksolves has Delivered for Organizations Like Yours
Fintech, healthcare, telecom, and SaaS enterprises trust Ksolves for Apache Beam commercial support to run reliable unified batch and streaming pipelines, reduce downtime, and keep distributed data processing environments stable, secure, and cost-efficient.
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 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 Beam Enterprise Support Services to Keep Your Full Pipeline Lifecycle Running
From initial pipeline setup to advanced runner optimization and 24x7 managed operations, one team owns your entire Apache Beam lifecycle.
24/7 Apache Beam Managed Support
Ksolves takes full operational ownership of your Apache Beam environment so your team stays focused on data engineering.
- Monitor Beam pipelines for worker memory pressure, bundle processing lag, and job queue depth
- Health checks across runner health (Dataflow, Flink, Spark), PCollection throughput, and checkpoint status
- Automated alerts for pipeline failures, worker crashes, backlog buildup, and watermark stalls
- Lifecycle management covering pipeline restarts, runner upgrades, and patch coordination
- 30-minute SLA on-call response for P1 production pipeline incidents
Full-Stack Apache Beam Visibility Across Every Pipeline Layer
Full-stack instrumentation from Beam metrics to Grafana dashboards for complete pipeline observability.
- Apache Beam metrics exporters integrated with Prometheus and Grafana for unified pipeline observability
- Custom dashboards tracking element throughput, worker utilization, step latency, and bundle processing time
- Dataflow job graph analysis and Flink web UI monitoring to surface bottleneck PTransforms and slow steps
- Alerting via Alertmanager or PagerDuty for pipeline stalls, watermark delays, and worker failures
- Streaming pipeline lag monitoring using Beam metrics API for Kafka and Pub/Sub source backlog tracking
Apache Beam Pipeline and Runner Performance Tuning
We trace every Apache Beam performance issue to its root cause and fix it.
- PTransform profiling to identify hot steps, fusion breaks, and GroupByKey bottlenecks
- Runner tuning for Dataflow, Flink, and Spark including parallelism and worker configuration
- Windowing optimization (Fixed, Sliding, Session windows) to reduce streaming pipeline latency
- Bundle size and parallelism tuning to eliminate stragglers and improve pipeline throughput
- Side input optimization and CoGroupByKey restructuring to reduce shuffle overhead and memory pressure
- Autoscaling configuration for Dataflow and Flink runners to balance cost and throughput
Apache Beam Pipeline Deployment and Architecture Setup
We architect and deploy Apache Beam pipelines that are runner-portable, source-agnostic, and fully documented.
- Deploy Apache Beam pipelines on Dataflow (GCP), Flink on Kubernetes (EKS, GKE, AKS), and Spark
- Unified batch and streaming architecture using Beam's unified programming model for codebase portability
- Source and sink setup for Kafka, Pub/Sub, BigQuery, S3, HDFS, Iceberg, and JDBC
- Windowing, triggering, and watermark strategy design for event-time processing and late data handling
- Custom PTransform and composite transform development for reusable pipeline components
- Full pipeline documentation, ADRs, and team handoff training
Apache Beam Upgrades and Pipeline Migration Services
Ksolves manages the full Apache Beam upgrade and migration lifecycle from compatibility audits to cutover, ensuring zero pipeline disruption.
- Pre-upgrade audits covering Beam SDK compatibility, runner API changes, and connector dependencies
- Rolling upgrades using Dataflow update job feature and Flink savepoint-based job migration
- Migration from Spark Streaming or Flink native APIs to Apache Beam unified model
- Runner migration from Dataflow to Flink or Spark with portability validation and workload replay testing
- Post-upgrade regression testing using historical pipeline workload replay
- Beam SDK migration across Java, Python, and Go SDKs for pipeline standardization
Beam Pipeline Security and Compliance Support
We secure your Apache Beam environment end-to-end covering encryption, access control, and audit trails for SOC 2, HIPAA, and GDPR.
- TLS encryption for worker-to-worker and client-to-runner traffic with certificate rotation
- IAM and service account configuration for Dataflow, GCS, BigQuery, and Pub/Sub access control
- Apache Ranger governance for Beam pipeline sources (Hive, HDFS, Kafka) with field-level masking inside PTransforms
- Dynamic PII masking and anonymization within Beam pipeline transforms aligned to HIPAA, PCI-DSS, and GDPR
- CVE monitoring and emergency patch deployment for Apache Beam SDK and runner libraries
- Audit log enablement and SIEM integration with Splunk, Google Cloud Monitoring, and Sumo Logic
Through the Client's Lens
Why is Ksolve a Trusted Choice of Global Teams for Apache Beam Support?
Apache Beam pipelines break at scale when GroupByKey creates shuffle bottlenecks, watermarks stall on late data, or runners go untuned. Ksolves engineers bring hands-on Beam production experience across Dataflow, Flink, and Spark with SLA-backed response times and a track record of resolving what generic vendor support cannot.
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 Beam
Ksolves brings specialized Apache Beam enterprise support aligned to the ingestion scale, compliance requirements, and real-time pipeline needs of your industry.
Telecom
Real-time CDR and network event stream processing on Apache Beam using Dataflow runner, Fixed windows, and Pub/Sub connectors for sub-second pipeline SLAs.
Healthcare
HIPAA-compliant PII masking within Beam PTransforms, audit logging, and row-level access control across patient data streams using Apache Beam enterprise support.
E-commerce
Real-time behavior analytics and inventory forecasting using Apache Beam unified pipelines with Kafka connectors and BigQuery sinks.
Fintech
Fraud detection and regulatory reporting using Apache Beam event-time windowing, Dataflow autoscaling, and PCI-DSS-aligned PII masking transforms.
Entertainment and Media
Content recommendation pipelines processing S3 clickstream and subscriber records using Apache Beam Session windows and CoGroupByKey transforms.
Manufacturing
IoT sensor and ERP stream processing using Apache Beam Flink runner with Sliding windows for predictive maintenance and yield analytics.
Retail
Unified batch and streaming supply chain analytics connecting Kafka, Iceberg, and BigQuery through Apache Beam with exactly-once write guarantees.
Banking and Financial Services
GDPR and SOC 2-compliant audit trails, dynamic data masking PTransforms, and IAM access control across Apache Beam multi-tenant pipeline environments.
Logistics and Supply Chain
Real-time route optimization processing GPS event streams through Apache Beam Flink runner with watermark strategies and late data handling.
Technology and SaaS
Apache Beam as the unified pipeline layer for usage telemetry, product analytics, and customer health scoring with exactly-once processing guarantees.
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)
AI-Ready Open Lakehouse on Red Hat OpenShift- Gulf Retailer
Challenge
SAP S/4HANA was too expensive. Cloud platforms are unavailable across GCC. 80 TB of daily data needed sub-second processing, and Power BI reports couldn't be touched.
Solution
On-premises lakehouse on existing OpenShift: NiFi → Kafka → Flink → Iceberg on MinIO → Trino serving Power BI as a drop-in SAP BW replacement. Zero new hardware.
80 TB
Daily Data: Sub-Second SLA, Zero New Hardware
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)
AI-Ready Open Lakehouse on Red Hat OpenShift- Gulf Retailer
Challenge
SAP S/4HANA was too expensive. Cloud platforms are unavailable across GCC. 80 TB of daily data needed sub-second processing, and Power BI reports couldn't be touched.
Solution
On-premises lakehouse on existing OpenShift: NiFi → Kafka → Flink → Iceberg on MinIO → Trino serving Power BI as a drop-in SAP BW replacement. Zero new hardware.
80 TB
Daily Data: Sub-Second SLA, Zero New Hardware
Frequently Asked Questions
Everything you need to know before choosing an Apache Beam support partner.
Ksolves provides end-to-end Apache Beam support including 24/7 managed operations, pipeline performance tuning, PTransform debugging, runner optimization, version upgrades, security hardening, and compliance implementation for Dataflow, Flink, and Spark runner deployments with SLA-backed response times.
We profile pipeline execution graphs to identify GroupByKey bottlenecks, fusion breaks, and slow PTransforms, then tune runner parallelism, windowing strategies, bundle sizes, and side input configurations to resolve latency and throughput regressions with targeted changes.
Yes. Watermark stalls in Apache Beam typically originate from slow sources holding back the global watermark, misconfigured allowed lateness, or incorrect event-time timestamp assignment. We audit source watermark propagation, restructure triggering strategies, and configure allowed lateness policies to handle late data without pipeline stalls.
Yes. Ksolves supports Apache Beam on Dataflow (GCP), Apache Flink on Kubernetes (EKS, GKE, AKS), and Apache Spark, covering runner-specific tuning, autoscaling configuration, checkpoint management, and full infrastructure management for each runner environment.
Yes. We manage full migrations including SDK compatibility audits, connector remapping, windowing and triggering strategy redesign, and staged cutover with workload replay testing for production pipeline environments with complex stateful processing requirements.
We validate the new SDK version against your runner and connector dependencies in staging, execute a pre-upgrade compatibility checklist, then perform pipeline update using Dataflow job update or Flink savepoint-based migration, followed by end-to-end validation against historical workload baselines.
Yes. We implement dynamic PII masking, data anonymization, and field-level encryption directly within Beam PTransforms, aligned to HIPAA, GDPR, PCI-DSS, and SOC 2 requirements, with full audit trail integration into Splunk or Google Cloud Monitoring and Logging for compliance documentation.
Yes. Ksolves delivers Apache Beam enterprise support across the USA, India, and Europe with 24/7 coverage across all time zones, dedicated account management, and quarterly business reviews for every engagement.
Yes. We tune Dataflow-specific configurations including autoscaling policies, worker machine types, Shuffle service optimization, Dataflow Flex Templates, Streaming Engine configuration, and job graph fusion optimization to maximize throughput and minimize cost for production Beam workloads.
