24/7 Apache Bigtop Support
Keep Your Hadoop Ecosystem
Running at Full Reliability
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 Bigtop Support That's Built to Meet the World's Strictest Data Standards
En(AI)blingTM Success for Industry Leaders
Apache Bigtop Support Packages
Every plan is designed around a specific operational reality of your Apache Bigtop managed support needs. Choose the one that matches how critical your Bigtop cluster environment is and how fast you need us to respond when something breaks.
Standard
Advanced
Platinum
What Ksolves Has Delivered for Organizations Running Apache Bigtop at Scale
Enterprises across fintech, telecom, healthcare, and SaaS trust Ksolves Apache Bigtop support services for stable operations and scalable Hadoop infrastructure.
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 Bigtop Support Services to Keep Your Full Hadoop Ecosystem Running at Scale
Ksolves delivers end-to-end Apache Bigtop support services, covering provisioning, packaging, tuning, and managed operations to ensure stable, scalable production environments.
24/7 Apache Bigtop Operations
Your dedicated Bigtop ops team keeps your cluster running around the clock so engineers stay focused on pipelines, not incidents.
- HDFS NameNode and DataNode health monitoring with early degradation detection
- YARN ResourceManager and NodeManager lifecycle management across HA topologies
- Component service management covering Hadoop, Spark, HBase, Hive, ZooKeeper, and Kafka
- Package version consistency enforcement using Bigtop deb and rpm repositories
- Monthly health reviews covering storage utilization, replication factors, and job failure trends
Full-Stack Hadoop Observability
Every layer of your Bigtop cluster is instrumented with HDFS, YARN, HBase, and JVM with structured diagnostic reports on a defined cadence.
- Prometheus scraping of Hadoop JMX endpoints for NameNode, DataNode, and ResourceManager metrics
- Grafana dashboards covering HDFS block health, YARN queue utilization, and HBase compaction status
- HBase and Hive alerting routed to Slack, PagerDuty, or OpsGenie with runbooks attached
- ZooKeeper ensemble health tracking covering leader election latency and quorum status
- Kafka broker and topic observability for ingestion pipelines feeding Bigtop workloads
Root-Cause Fixes for Slow Jobs, Memory Pressure, and Bottlenecks
We fix performance at the YARN, HDFS, Spark, and HBase layers. Every bigtop maintenance services engagement includes full documentation and validated baselines.
- YARN capacity and fair scheduler tuning to eliminate queue starvation and job backlog
- HDFS block size and replication factor optimization per workload class
- Spark executor memory, shuffle partition, and serialization tuning for Bigtop deployments
- HBase compaction tuning covering memstore thresholds, compaction windows, and region split policies
- JVM GC tuning for NameNode, DataNode, and HBase master heap profiles
Production Cluster Handover, Fully Documented
Fresh Bigtop deployment or legacy Hadoop migration delivered production-ready with runbooks, backed by enterprise Apache Bigtop support from architecture through final handover.
- Cluster architecture design covering node topology, storage layout, HA config, and network segmentation
- bigtop-deploy provisioning using Ansible and Puppet for repeatable, version-controlled builds
- HDFS NameNode HA with ZooKeeper-based automatic failover and JournalNode quorum
- YARN ResourceManager HA with ZooKeeper state store for active-standby failover
- CI/CD pipeline integration using Bigtop's iTest framework for post-deployment validation
Zero Data Gap Upgrades and Cluster Migration
Bigtop version upgrades, distribution migrations, and component transitions are executed with full validation before cutover. Our bigtop maintenance services practice covers every transition path.
- Pre-upgrade audit covering deprecated configs, API changes, and package dependency conflicts
- Rolling upgrade with HDFS safemode validation and YARN job continuity confirmation
- Legacy Hadoop distribution migration to Bigtop packaging with full configuration translation
- HDFS data migration using distcp with checksum validation and replication verification
- Post-upgrade benchmarking covering job completion times, HDFS throughput, and scheduler latency
Every Cluster Layer. Audit-Ready Always.
Authentication, encryption, and access control across your entire Bigtop stack without impacting job throughput or pipeline availability.
- Kerberos KDC deployment and keytab management for all Bigtop-managed components
- Apache Ranger policy enforcement for HDFS, Hive, HBase, YARN, and Kafka with centralized audit logging
- Apache Knox gateway for perimeter authentication and REST API proxy to cluster services
- TLS/SSL encryption for HDFS data transfer, YARN web UI, and HBase REST and Thrift interfaces
- CVE monitoring and patch advisory for all Bigtop packaged components with remediation SLAs
Through the Client's Lens
Why Ksolves Is a Trusted Choice of Global Teams for Apache Bigtop Support?
From HDFS failures and YARN scheduler issues to Kerberos integration and distribution migrations, Ksolves is your Bigtop managed support service provider with SLA-backed response and proven Hadoop ecosystem expertise.
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 Bigtop
As a trusted Apache Bigtop support vendor in the USA, Ksolves tailors support around your ingestion volume, compliance requirements, and operational demands across every major industry.
Telecom
CDR processing, network event ingestion, and real-time signaling aggregation with YARN queue prioritization for latency-sensitive workloads.
Healthcare
HIPAA-compliant Bigtop deployments for patient data pipelines and EMR analytics with Kerberos access control and Apache Ranger audit logging.
E-commerce
Customer behavior analytics and recommendation pipelines with YARN capacity scheduling tuned for peak traffic and promotional scaling.
Fintech
Bigtop production support for transaction processing and fraud detection pipelines where zero data loss and complete audit trails are non-negotiable.
Entertainment
User engagement telemetry and streaming quality analytics with dynamic YARN queue allocation for audience-driven ingestion surges.
Manufacturing
Shop floor sensor telemetry into Bigtop-managed HDFS via custom ingestion pipelines with windowed aggregation and maintenance alerting.
Retail
POS transaction processing, loyalty analytics, and customer segmentation with Hive metastore governance and Apache Ranger column-level controls.
Banking and Financial Services
Kerberos-secured, Ranger-governed Bigtop deployments with multi-tenant YARN isolation and audit-ready HDFS logging for regulatory compliance.
Logistics and Supply Chain
Shipment event processing and warehouse data aggregation with real-time YARN queue monitoring and SLA-bound job alerting.
Technology and SaaS
Per-tenant HDFS namespace isolation, SLO-bound job dashboards, and billing pipeline observability 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. See how Ksolves Apache Bigtop enterprise support has delivered measurable outcomes across industries.
Multi-Site CDR Pipeline for a Telecom Operator Across 4 Remote Locations
Challenge
CDR data from 4 remote sites had no unified ingestion, and 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, and 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 Bigtop support partner.
Ksolves Apache Bigtop managed support covers 24×7 cluster monitoring, HDFS and YARN lifecycle management, HBase and Hive support, Kerberos and Ranger security governance, version upgrades, distribution migration, and root cause analysis for every critical incident.
YARN memory exhaustion is almost always caused by misconfigured per-queue memory limits and oversized Spark executor allocations. Ksolves enforces per-queue capacity limits and tunes executor settings to restore stable operations.
Slow Hive queries are typically caused by missing table statistics, suboptimal file formats, or Tez DAG failures. Ksolves audits query logs, computes statistics, and converts to ORC or Parquet where needed. Execution times typically improve by 50 to 80 percent.
Yes. Ksolves performs a pre-upgrade audit, executes the upgrade with HDFS safemode validation and DataNode rolling restart, and runs distcp checksum comparison before removing the rollback window.
Apache Bigtop is a fully open-source ASF project with no vendor lock-in or licensing costs. Ksolves helps teams migrate from commercial distributions like Cloudera CDP to Apache Bigtop while maintaining full production-grade operations.
Apache Bigtop packages the Hadoop ecosystem, producing deb and rpm packages for Hadoop, Spark, HBase, Hive, Pig, ZooKeeper, Kafka, Flink, and Tez, with Ansible and Puppet playbooks via bigtop-deploy for reproducible provisioning.
Missing blocks are typically caused by under-replication from disk failures or incomplete DataNode decommissioning. Ksolves diagnoses via fsck reports, restores replication, and resolves the underlying issue.
Ksolves deploys Kerberos for authentication, Apache Ranger for fine-grained authorization, Knox for perimeter API access, and TLS for data in transit. Ranger audit logs are structured for SOC 2, HIPAA, and PCI-DSS evidence.
Region server failures are most commonly caused by compaction storms, ZooKeeper session expiry, or row key hotspots. Ksolves tunes compaction windows, adjusts ZooKeeper timeouts, and redesigns row key schemas to eliminate hotspotting.
