24/7 Apache Tez Support
Keep Your DAG Workloads
Running at Full Speed
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 Tez Enterprise Support That's Built to Meet the World's Strictest Data Processing Standards
En(AI)blingTM Success for Industry Leaders
Apache Tez Support Packages
Whether you run a single Tez deployment on Hadoop or a large-scale distributed DAG execution environment on Amazon EMR, Azure HDInsight, or Cloudera CDP, our Apache Tez support services are designed around your operational needs. As a leading Apache Tez support company in the USA, we offer customized plans for enterprises of every size.
Standard
Advanced
Platinum
Delivering Measurable Outcomes for Tez-Driven Businesses
Organizations across finance, healthcare, logistics, and retail trust Ksolves to optimize and support mission-critical Apache Tez environments with Apache Tez Enterprise Support Services.
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 Tez Managed Services for Your Complete DAG Execution Lifecycle
From Apache Tez installation support and Application Master configuration to Apache Tez 24/7 support and version upgrades, we manage every stage of your Apache Tez lifecycle.
24×7 Tez Cluster Operations, Fully Managed
Our Tez cluster performance monitoring and management capabilities span bare metal Hadoop clusters, Amazon EMR, Azure HDInsight, Google Dataproc, and Cloudera CDP, covering:
- Apache tez installation support on bare metal Hadoop clusters, Amazon EMR, Azure HDInsight, Google Dataproc, and Cloudera CDP
- Application Master and task container configuration via tez.am.resource.memory.mb, tez.am.resource.cpu.vcores, and tez.task.resource.cpu.vcores
- YARN capacity scheduler queue design for workload isolation across concurrent Tez DAG submissions
- Automated HDFS-based Tez library deployment, disaster recovery planning, and monthly cluster health reporting
DAG Health and Application Master Performance
Proactive Apache Tez health check service and runtime monitoring keep your environment stable and observable:
- DAG execution dashboards via Tez UI backed by YARN Timeline Server (ATS) with tez.history.logging.service.class configured for full history retention
- Application Master failure, DAG vertex error, and shuffle failure alerting via PagerDuty, Slack, and OpsGenie
- YARN resource utilization monitoring covering queue depth, container allocation, and AM launch failure tracking
- Stuck DAG detection and job cancellation via YARN ResourceManager API
Compliance-Ready Security at Every Layer
Our Apache Tez support services include a full security stack designed for regulated industries, covering every layer of your Tez environment:
- Tez AM and DAG-level access control via tez.am.view-acls and tez.am.modify-acls for view and modification permissions
- Kerberos authentication for all Tez AM and task communications within secured Hadoop clusters
- SSL/TLS encryption for Tez shuffle handler via tez.runtime.shuffle.ssl.enable=true to protect data in transit between task containers
- Apache Ranger integration for YARN queue-level access policies and full audit logging aligned with SOC 2, HIPAA, and GDPR
Deep-Layer Apache Tez Performance Engineering
Our engineers go beyond surface-level tuning. Every aspect of your DAG execution environment is reviewed and optimized for maximum throughput and resource efficiency:
- Container memory and CPU tuning via tez.am.resource.memory.mb, tez.task.resource.memory.mb, and tez.runtime.io.sort.mb for optimal task execution
- Container reuse enablement via tez.am.container.reuse.enabled to eliminate container launch overhead across successive DAG tasks
- DAG vertex parallelism tuning and task grouping via tez.grouping.min-size and tez.grouping.max-size for data locality optimization
- Hive on Tez support performance review covering session mode tuning, AM keep-alive configuration, and speculative execution via tez.am.legacy.speculative.slowtask.threshold
Zero-Downtime Apache Tez Version Upgrades
Upgrading Tez without breaking production pipelines requires sequenced planning and compatibility validation at every step. Our upgrade practice covers the full lifecycle:
- Pre-upgrade Hadoop compatibility audit: Tez 0.8.x requires Hadoop 2.6.0+, Tez 0.9.x requires Hadoop 2.7.0+
- HDFS-based Tez library upgrade in minimal mode to support rolling upgrades without full cluster restart
- MapReduce to Tez execution engine migration for Hive and Pig workloads with regression testing and benchmarking
- Post-upgrade DAG execution verification, ATS history continuity validation, and formal sign-off
Incident Resolution and Root Cause Analysis
When DAGs fail or degrade in production, fast and accurate diagnosis is critical. Our team provides structured incident response backed by deep Tez internals knowledge:
- Emergency triage for Application Master OOM crashes, total DAG failure cascades, and YARN container eviction events
- Fix Apache Tez application master failure: heap sizing via tez.am.resource.memory.mb, GC log analysis, and container eviction root cause identification
- Shuffle failure investigation covering peer task loss, network partition diagnosis, and SSL handshake resolution via tez.runtime.shuffle.ssl.enable
- YARN container OOM kill identification via task container memory diagnostics and resource quota remediation
Through the Client's Lens
Why Ksolves is a Trusted Apache Tez Support Provider for Global Teams
Backed by deep open-source expertise and Apache Tez SLA support commitments, Ksolves helps enterprises maximize DAG execution performance without operational risk.
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 Tez
From batch ETL pipelines to large-scale Hive on Tez support workloads, Ksolves is a trusted provider of Apache Tez managed services, helping industries run DAG workloads with maximum performance, reliability, and uptime.
Telecom
CDR processing and billing reconciliation on Tez at carrier scale. Ksolves manages YARN allocation and DAG health, where job latency has a direct operational impact.
Healthcare
Patient data and HL7 and FHIR transformation workloads need HIPAA-compliant Tez environments. Ksolves manages Kerberos, shuffle encryption, and audit logging with full compliance coverage.
E-Commerce
Inventory, order, and customer behaviour DAGs need consistent completion times during peak traffic. Ksolves keeps container reuse, DAG topology, and YARN isolation tuned for reliable execution.
Fintech
Transaction batch processing and fraud detection pipelines carry direct financial consequences when DAGs fail. Ksolves manages execution reliability where every job completion matters.
Entertainment
Content metadata and recommendation model training workflows need Tez environments that scale with audience demand. Ksolves manages queue balancing and DAG topology at high-throughput scale.
Manufacturing
Shop floor sensor data and MES datasets feed operational dashboards through scheduled Tez pipelines. Ksolves manages job scheduling and DAG execution health for continuous data environments.
Retail
POS data, loyalty datasets, and customer behaviour tables power batch analytics pipelines. Ksolves keeps retail Tez environments performant across seasonal peaks and promotional surges.
Banking and Financial Services
Core transaction processing and regulatory reporting require secure Tez environments with full YARN ACL and audit compliance. Ksolves supports banking Tez deployments with the controls that regulated industries demand.
Logistics and Supply Chain
Shipment tracking, warehouse telemetry, and last-mile delivery analytics run through Tez pipelines feeding real-time dashboards. Ksolves manages execution reliability where stale data has direct cost implications.
Technology and SaaS
Tez on AWS EMR, Azure HDInsight, and GCP Dataproc need reliable operations without dedicated headcount. Ksolves provides the managed Tez support that makes that possible.
Ksolves: Insights from Enterprise Experts
Expert insights on real-time data processing, stream processing, and high-performance data environments built for teams seeking Big Data support services in the USA.
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)
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)
Frequently Asked Questions
Everything you need to know before choosing an Apache Tez support company in the USA.
Our managed Apache Tez support covers Apache Tez installation support on Hadoop, Amazon EMR, Azure HDInsight, and Cloudera CDP; Application Master and task container configuration; YARN queue design; DAG performance tuning; ATS monitoring setup; version upgrades; and Apache Tez 24/7 support for production incidents.
To fix Apache Tez application master failure, check AM heap allocation via tez.am.resource.memory.mb, review GC logs for memory pressure, confirm YARN has sufficient queue capacity for AM container launch, and verify Kerberos ticket validity for secured clusters. Ksolves resolves all AM failures as part of our Apache Tez consulting services.
The most common causes are container reuse being disabled, causing repeated launch overhead, undersized sort buffer via tez.runtime.io.sort.mb, poor task grouping leading to excessively small tasks, data locality misses from suboptimal YARN scheduling, and YARN queue contention from concurrent DAG submissions. Ksolves resolves all of these through our Apache Tez performance tuning service.
As a trusted Apache Tez vendor in the USA, we support bare metal Hadoop clusters, Amazon EMR, Azure HDInsight, Google Dataproc, and Cloudera CDP. Our Apache Tez enterprise support is tailored to your YARN configuration, execution workload (Hive on Tez, Pig on Tez, or custom DAG API), and storage layer (HDFS, S3, ADLS, or GCS).
Our Apache Tez health check service covers Application Master stability, YARN Timeline Server (ATS) connectivity and history retention, container reuse configuration, shuffle handler SSL status, YARN queue depth and container availability, and DAG execution error rates. We deliver a written findings report with prioritized remediation steps.
When you outsource Apache Tez Support, you get immediate access to engineers who have resolved production Tez failures across fintech, telecom, and healthcare – without the hiring cycle, onboarding overhead, or single-point-of-failure risk of one in-house specialist.
Our Apache Tez support contract includes SLA-backed critical issue acknowledgement within 30 minutes and resolution within 1–4 hours, depending on tier, monthly health reports, proactive Hadoop compatibility advisory, CVE monitoring, and a dedicated escalation path in the Platinum tier.
Yes. We manage the full migration: pre-migration Hadoop version compatibility audit (Tez 0.9. x requires Hadoop 2.7.0+), Tez library deployment to HDFS, execution engine switch for Hive and Pig workloads, DAG performance benchmarking against MapReduce baselines, and zero-downtime production cutover with rollback plan and regression validation.
Yes. Ksolves delivers Apache Tez support services in India and globally from delivery centres in India and the USA, giving clients 24×7 timezone coverage, offshore engineering scale, and nearshore strategic leadership under a single SLA-backed support contract.
