24/7 Apache Hadoop Support
Keep Your Hadoop Clusters
Stable and Production-Ready
with Experts
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
Hadoop Support That's Built to Meet the World's Strictest Data Standards
En(AI)blingTM Success for Industry Leaders
Hadoop Support Packages
Hadoop environments range from single-cluster development setups to multi-petabyte production deployments running dozens of services. Pick the plan that matches what a cluster outage actually costs your organization.
Standard
Advanced
Platinum
What Ksolves Has Delivered for Organizations Running Hadoop at Scale
Hadoop clusters running mission-critical workloads need more than reactive support. Here is what proactive managed Apache Hadoop support from Ksolves delivers in practice.
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.
End-to-End Apache Hadoop Support Services for Your Complete Big Data Infrastructure
Hadoop is not a single product. HDFS, YARN, MapReduce, Hive, HBase, Spark, Oozie, ZooKeeper, and Ranger all run together, and all need attention. Ksolves supports the full stack.
24/7 Managed Hadoop Cluster Operations
Quiet clusters are not always healthy clusters. Ksolves monitors what standard tools miss and resolves issues before your team notices.
- Managed support across CDH, HDP, and open-source Apache Hadoop distributions
- NameNode HA monitoring with active/standby failover tracking via ZooKeeper
- DataNode health tracking covering block replication, under-replicated block alerts, and disk utilization
- YARN ResourceManager and NodeManager monitoring with queue depth and container allocation visibility
- MapReduce and Spark job history analysis for recurring failures and resource inefficiency
- Monthly reviews covering HDFS utilization, YARN queue efficiency, and capacity forecasts
- Proactive release tracking with upgrade readiness and deprecation advisory
- SLA-backed response across three tiers: Essentials (business hours), Professional (16x5), Enterprise (24x7)
Observability Stack and Structured Health Check
Hadoop JMX metrics tell you exactly what is wrong. Most teams never instrument them. Ksolves builds the observability stack and delivers a one-time diagnostic that surfaces structural risks before they cause failures.
- Prometheus JMX exporter setup for NameNode, DataNode, ResourceManager, and NodeManager
- Grafana dashboards covering HDFS capacity, block replication health, YARN queue depth, and job completion rates
- HDFS under-replicated and corrupt block alerting with automated DataNode recovery triggering
- YARN queue starvation detection with resource allocation drift alerting
- Alerts routed to Slack, PagerDuty, and OpsGenie with linked resolution runbooks
- HDFS health assessment covering NameNode edit log size, checkpoint frequency, and DataNode balance
- YARN audit covering queue hierarchy, memory limits, and preemption policy
- Delivered as a written report with severity-ranked findings and remediation steps per change
Hadoop Performance Fixed at the Root
Slow jobs and resource contention trace back to configuration, not hardware. Ksolves finds the exact layer where performance breaks and fixes it.
- YARN queue tuning for fair scheduling, capacity scheduling, and preemption policy
- MapReduce and Spark job tuning covering memory, executor sizing, shuffle, and speculative execution
- HDFS small file resolution using HAR archives, sequence files, and CombineFileInputFormat
- Rack awareness and block placement tuning for data locality optimization
- Hive query optimization covering partition pruning, ORC/Parquet adoption, and vectorized execution
- HDFS storage balancer configuration to eliminate DataNode disk skew
Apache Hadoop Installation and Migration
A misconfigured HDFS layout or incompatible Hive metastore schema during an upgrade can cascade into days of recovery. Ksolves treats every installation and upgrade as a production event.
- Installation on AWS (EMR, EC2), GCP (Dataproc), Azure (HDInsight), and on-premises
- HDFS rack awareness, replication policy, and NameNode HA with ZooKeeper and JournalNodes
- YARN capacity and fair scheduler configuration with queue hierarchy for multi-tenant isolation
- Pre-upgrade audit covering HDFS layout changes, API deprecations, and configuration renames
- Rolling upgrade across DataNodes and NodeManagers with NameNode and ResourceManager sequencing
- On-premises to cloud migration covering HDFS transfer, pipeline migration, and cutover planning
- Post-upgrade job stability validation and performance benchmarking across critical workloads
Enterprise Hadoop Security Built Into the Architecture
One misconfigured HDFS permission or a missing Ranger policy can expose data that compliance teams spend months protecting. Ksolves builds security in from day one.
- Kerberos authentication across HDFS, YARN, HBase, Hive, and Oozie
- Apache Ranger for HDFS path-level, Hive table-level, and HBase column family access control
- HDFS encryption zones using Hadoop KMS for data-at-rest protection on sensitive paths
- TLS wire encryption across all inter-service Hadoop communication
- LDAP and Active Directory integration for centralized authentication and group-based access
- Audit logging via Ranger, HDFS, and Hive with SIEM export for GDPR, HIPAA, SOC 2
Through the Client's Lens
Why Ksolves is a Trusted Choice of Global Teams For Apache Hadoop Support?
Running Hadoop well means knowing how HDFS, YARN, Hive, HBase, and every ecosystem service behaves under load, under failure, and under pressure. That knowledge is what Ksolves brings to every client environment.
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 Hadoop
Every industry runs Hadoop differently. Ksolves builds Hadoop support services around your specific scale, compliance requirements, and operational demands.
Telecom
Petabytes of CDR records and network telemetry flow through carrier-scale Hadoop clusters. Ksolves manages HDFS capacity, YARN scheduling, and cluster health where pipeline delays have direct operational consequences.
Healthcare
Clinical data lakes holding patient records and imaging metadata require strict HIPAA controls. Ksolves manages Kerberos, Ranger policies, and HDFS encryption zones for healthcare Hadoop environments with full audit coverage.
E-Commerce
Continuous ingestion of order history, clickstream data, and customer behaviour logs demands balanced YARN resource allocation. Ksolves keeps ingestion pipelines and analytical query workloads running without contention.
Fintech
Transaction history and regulatory reporting datasets make Hadoop a critical fintech infrastructure. Ksolves manages security, availability, and performance where job completion times affect downstream compliance obligations.
Entertainment
Massive write volumes from user engagement events and recommendation training datasets create unpredictable query patterns. Ksolves manages the storage and compute balance that keeps entertainment clusters responsive.
Manufacturing
Shop floor sensor data and supply chain event logs feed operational analytics pipelines continuously. Ksolves manages HDFS storage lifecycle and job scheduling for manufacturing environments with high-frequency data generation.
Retail
Years of transaction history, loyalty data, and inventory records power seasonal planning for retail analytics teams. Ksolves keeps retail Hadoop environments performant across peak and off-peak periods without interruption.
Banking and Financial Services
Regulatory data retention makes Hadoop a long-term storage layer for banking institutions across jurisdictions. Ksolves manages HDFS lifecycle, security controls, and compliance reporting for banking environments.
Logistics and Supply Chain
Shipment tracking events and carrier performance records feed real-time operational dashboards. Ksolves manages ingestion pipeline health and HDFS availability where stale data has direct cost implications.
Technology and SaaS
Product analytics, usage telemetry, and data science training pipelines need a reliable Hadoop infrastructure without dedicated cluster operations headcount. Ksolves provides the managed Hadoop support that makes that possible.
Ksolves on Hadoop: 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.
Scalable Hadoop Big Data Platform for a UAE Healthcare Network
Challenge
Legacy systems hit capacity — no real-time processing, no unified analytics, and clinical documents are entirely excluded from the data environment.
Solution
Proposed an HDFS-based platform with unified ingestion for structured and unstructured data, batch + real-time processing, a governed analytics layer, and a sequenced AI/ML readiness roadmap.
10X
Capacity Headroom — AI/ML Ready Foundation
HDP to Apache Bigtop Migration with DR Setup
Challenge
A 50+ node HDP 2.6.3 cluster hosting 200 TB hit end-of-life, no vendor patches, no upgrade path, and a single data center with zero disaster recovery.
Solution
Blue-green migration to Apache Bigtop on new hardware running parallel to the live cluster, plus cross-site DR across Bangalore and Hyderabad. Zero downtime throughout.
200 TB
Migrated — Zero Downtime, Zero Data Loss
Real-Time IoT Ingestion Platform — NiFi, Kafka & Cassandra for Telecom
Challenge
A North American telco generating 3 TB+ daily from millions of devices had no scalable ingestion, queues overflowed, data was permanently lost, and the NOC worked on hours-old telemetry.
Solution
NiFi collects across all device protocols → Kafka guarantees delivery → Cassandra serves live NOC dashboards → HDFS handles historical analytics independently.
3 TB+
Daily Ingest: Zero Data Loss, Live NOC in Seconds
Real-Time Burst Fraud Detection for a Telco — Kafka & Spark
Challenge
Bots flooded the marketing pipeline at 150K events/sec, wasting campaign spend and corrupting customer data.
Solution
Kafka + Spark 30-second tumbling window flags any Device_ID exceeding 20 requests and fires an instant suppress command.
30s
Fraud Suppressed — 5B Daily Events
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
Scalable Hadoop Big Data Platform for a UAE Healthcare Network
Challenge
Legacy systems hit capacity — no real-time processing, no unified analytics, and clinical documents are entirely excluded from the data environment.
Solution
Proposed an HDFS-based platform with unified ingestion for structured and unstructured data, batch + real-time processing, a governed analytics layer, and a sequenced AI/ML readiness roadmap.
10X
Capacity Headroom — AI/ML Ready Foundation
HDP to Apache Bigtop Migration with DR Setup
Challenge
A 50+ node HDP 2.6.3 cluster hosting 200 TB hit end-of-life, no vendor patches, no upgrade path, and a single data center with zero disaster recovery.
Solution
Blue-green migration to Apache Bigtop on new hardware running parallel to the live cluster, plus cross-site DR across Bangalore and Hyderabad. Zero downtime throughout.
200 TB
Migrated — Zero Downtime, Zero Data Loss
Real-Time IoT Ingestion Platform — NiFi, Kafka & Cassandra for Telecom
Challenge
A North American telco generating 3 TB+ daily from millions of devices had no scalable ingestion, queues overflowed, data was permanently lost, and the NOC worked on hours-old telemetry.
Solution
NiFi collects across all device protocols → Kafka guarantees delivery → Cassandra serves live NOC dashboards → HDFS handles historical analytics independently.
3 TB+
Daily Ingest: Zero Data Loss, Live NOC in Seconds
Real-Time Burst Fraud Detection for a Telco — Kafka & Spark
Challenge
Bots flooded the marketing pipeline at 150K events/sec, wasting campaign spend and corrupting customer data.
Solution
Kafka + Spark 30-second tumbling window flags any Device_ID exceeding 20 requests and fires an instant suppress command.
30s
Fraud Suppressed — 5B Daily Events
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
Frequently Asked Questions
Everything you need to know before choosing a Hadoop support partner.
Managed Hadoop support covers 24×7 HDFS and YARN monitoring, NameNode high-availability management, DataNode health tracking, job failure alerting, performance tuning, security hardening, version upgrades, and incident response with full root cause analysis.
NameNode failures most commonly occur due to Java heap exhaustion from excessive metadata, edit log accumulation from disabled checkpointing, ZooKeeper session timeout in high-availability setups, or JournalNode quorum loss during hardware failures.
HDFS under-replication occurs when DataNodes go offline and block replicas fall below the configured replication factor. Ksolves identifies affected blocks via HDFS fsck, restores DataNode availability or adds replacement nodes, and allows block replication to restore the target factor automatically.
HDFS is designed for large files. Millions of small files consume NameNode heap memory and degrade job planning performance. Resolution strategies include HAR archives, Sequence files, ORC file aggregation, and CombineFileInputFormat for MapReduce jobs processing high file count directories.
Ksolves provides Hadoop support services across AWS EMR, GCP Dataproc, Azure HDInsight, and self-managed Hadoop on cloud VMs, covering cluster configuration, job optimization, security hardening, monitoring setup, and incident response regardless of deployment platform.
Hadoop support contract with Ksolves includes defined SLA response times, risk assessment reports, architect consultation hours, on-demand Hadoop expertise, monthly cluster health reviews, and proactive monitoring with alerting across Essentials, Professional, and Enterprise tiers.
Yes. Ksolves operates as an offshore Hadoop support services provider with engineering teams across multiple time zones delivering follow-the-sun coverage for clients who need continuous Hadoop coverage without the cost of building in-house expertise.
Ksolves Hadoop support services cover Kerberos authentication across all services, Apache Ranger for granular access control, HDFS encryption zones using Hadoop KMS, TLS wire encryption, and centralized audit logging forwarded to a SIEM system for GDPR, HIPAA, SOC 2, and PCI-DSS compliance.
Yes. Ksolves is a trusted Hadoop support vendor and a Hadoop managed service provider in the USA serving enterprises across North America with US-timezone-aligned coverage and global Hadoop 24/7 support with sub-15-minute critical SLAs.
CDH and HDP are commercial Hadoop distributions with bundled ecosystem services under a licensing model. Open-source Apache Hadoop is the upstream project with no licensing cost. Ksolves Hadoop support services cover all three distributions and help organizations evaluate trade-offs based on workload, budget, and long-term requirements.
