24/7 Apache Airflow Support
Eliminate DAG Failures Before They Reach Production 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
Apache Airflow Support That’s Built to Meet the World's Strictest Data Standards
En(AI)blingTM Success for Industry Leaders
Apache Airflow Support Packages
Whether you run a single Airflow deployment or a large-scale distributed pipeline environment, our Airflow enterprise support plans are designed around your operational needs.
Standard
Advanced
Platinum
Delivering Measurable Outcomes for Airflow-Driven Businesses
Organizations across finance, healthcare, logistics, and media trust Ksolves to optimize and support mission-critical Apache Airflow environments with enterprise-grade airflow support.
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 Airflow Support Services for Your Complete Data Workflow Lifecycle
From deploying Airflow environments and designing DAGs to providing round-the-clock support and version upgrades, we manage every stage of your Airflow lifecycle.
24×7 Cluster Operations, Fully Managed
Our experienced engineers act as your dedicated Airflow operations team, managing, monitoring, and optimizing your deployment 24×7 so your data teams focus on pipelines, not infrastructure issues.
- Cluster installation on bare metal, Kubernetes (Helm), MWAA, and Cloud Composer as part of full Airflow implementation support
- Executor configuration: CeleryExecutor, KubernetesExecutor, LocalExecutor, and CeleryKubernetesExecutor
- Redis/RabbitMQ message broker setup and Flower dashboard management
- Automated backup and disaster recovery for metadata DB and DAG folders
- Configuration management, environment variable governance, and version control
- Resource usage reports and pipeline health performance summaries
Real-time visibility into DAG performance
We deploy and operate the full Airflow observability layer as part of our Apache Airflow support services, detecting SLA misses, task backlogs, and scheduler lag before your stakeholders notice.
- Real-time pipeline health dashboards with Prometheus, Grafana, and StatsD
- SLA miss callback configuration with PagerDuty, Slack, and OpsGenie alerting
- Scheduler loop duration and dag_file_processor monitoring with threshold alerts
- Executor queue depth and worker saturation monitoring for Celery and Kubernetes
- Task instance duration anomaly detection correlated with infrastructure metrics
- Dropped task and zombie task detection with automated cleanup procedures
Compliance-Ready Security at Every Layer
Ksolves applies defence-in-depth across authentication, secrets management, and access control as part of our Apache Airflow enterprise support covering GDPR, HIPAA, PCI-DSS, and SOC 2 environments.
- RBAC configuration with role-scoped DAG-level access policies
- LDAP, OAuth2, and SAML SSO integration for enterprise identity providers
- Fernet key rotation for connection password encryption and re-encryption
- Secrets backend integration: HashiCorp Vault, AWS Secrets Manager, GCP Secret Manager
- TLS termination for the Airflow webserver and inter-component communication
- Full audit logging and compliance reporting for SOC 2, HIPAA, and GDPR review
Zero-Downtime Airflow Version Upgrades
Ksolves manages rolling Airflow upgrades and version migrations with zero downtime, including full Airflow 1.x to 2.x transitions, provider package upgrades, and DB schema migration.
- Pre-upgrade DAG compatibility audit and deprecated operator identification
- SubDagOperator, BashOperator, and legacy hook migration to current equivalents
- Airflow metadata DB schema upgrade via airflow db upgrade with rollback plan
- Airflow 1.10.x to 2.x migration, including TaskFlow API refactoring
- Provider package (apache-airflow-providers-*) upgrade and regression testing
- Post-upgrade consistency verification, DAG import time benchmarking, and sign-off
Deep-Layer Airflow Performance Engineering
Ksolves debugs Apache Airflow performance issues at the scheduler, executor, metadata DB, and DAG authoring layers and fixes them at the root, not the symptom.
- Scheduler loop tuning: min_file_process_interval, dag_file_processor_timeout, max_active_tasks_per_dag
- DAG serialization enablement to eliminate filesystem-heavy parsing in production
- Metadata DB index optimization, slow query analysis, and stale record archival
- PgBouncer connection pooling configuration to prevent DB connection exhaustion
- Worker concurrency tuning and pool allocation design for shared environments
- XCom backend optimization and large-payload offloading to S3/GCS
DAG Architecture and Topology Optimization
Ksolves audits both DAG design and execution topology as part of our Apache Airflow support services, fixing whichever is the binding performance constraint and ensuring DAGs are authored for reliability and operational efficiency at scale.
- Full DAG codebase audit: import time, top-level code, and anti-pattern remediation
- Dynamic DAG generation patterns to eliminate DAG-per-file proliferation
- TaskGroup refactoring to replace nested SubDAGs and improve scheduler efficiency
- Incremental and sensor-based triggering strategies to reduce unnecessary task runs
- Dataset-driven scheduling implementation for decoupled pipeline dependencies
- CI/CD pipeline integration: DAG linting, unit tests (pytest), and Git-sync deployment
Incident Resolution and Root Cause Analysis
Production Airflow incidents are rarely simple. Ksolves traces every symptom to the actual root, closes it fast, and documents it so it never recurs.
- Emergency triage for scheduler down events, total DAG failure cascades, and worker loss delivered as part of our Apache Airflow support services
- DAG import error diagnosis: Python dependency conflicts, circular imports, syntax errors
- Celery task visibility loss investigation: broker connectivity and result backend failures
- Kubernetes pod eviction cascade analysis and resource quota remediation
- XCom serialization failure, sensor poke timeout, and zombie task investigation
- Full written RCA for engineering review, compliance audit, and incident prevention
Through the Client's Lens
Why Ksolves is a Trusted Choice of Global Teams for Apache Airflow Support?
Backed by certified expertise and SLA-driven support, Ksolves helps enterprises maximize Apache Airflow 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 Airflow
From real-time ETL pipelines to ML workflow orchestration, Ksolves is a trusted Apache Airflow managed service provider helping industries run pipelines with maximum performance, reliability, and uptime.
Telecom
Ksolves manages real-time telecom data pipelines as part of our Apache Airflow support services, handling network telemetry ingestion, event stream routing, and Airflow cluster monitoring across distributed infrastructure at carrier scale.
Healthcare
With deep experience in HIPAA-compliant Airflow environments, we manage HL7 and FHIR data pipelines, patient data ingestion workflows, and audit-ready data movement across clinical systems.
E-Commerce
Having worked across e-commerce data ecosystems, we keep inventory systems, order platforms, and customer behaviour feeds in real-time sync across every fulfilment channel via Airflow DAGs.
Fintech
We manage Apache Airflow enterprise support environments built for transaction processing, fraud detection flows, and regulatory reporting — where every pipeline record has a direct financial consequence.
Entertainment
Working with entertainment platforms at scale, we support high-throughput Airflow pipelines for content metadata, user engagement data, and recommendation feeds that grow with audience demand.
Manufacturing
With hands-on manufacturing data experience and always-on Airflow Enterprise support, we connect shop floor sensor feeds, MES systems, and supply chain data into unified Airflow pipelines that keep operations running without interruption.
Retail
Understanding retail data complexity, we manage Airflow environments connecting POS systems, loyalty platforms, and customer data across physical and digital channels into real-time pipelines.
Banking & Financial Services
As a compliance-aware Airflow partner, we support banking institutions with pipelines built for core data flows, transaction processing, and regulatory reporting across multiple jurisdictions.
Logistics & Supply Chain
With proven logistics data experience, we manage Airflow pipelines covering shipment tracking, warehouse telemetry, carrier integrations, and last-mile data flows across distribution networks.
Technology & SaaSCloud
Working alongside technology companies, we support Airflow pipelines that route data across internal systems, third-party APIs, and multi-tenant cloud-native infrastructure without disruption.
Ksolves on Airflow: Insights from Enterprise Experts
Explore the latest Airflow trends, performance strategies, and expert insights for building scalable, resilient, and high-performing data pipeline environments.
Success Stories from Global Enterprises
Real-world Apache Airflow support services engagements with measurable outcomes, faster pipelines, and successful operational transformations.
Telecom Data Reconciliation with NiFi, ClickHouse & Airflow
Challenge
A telecom operator needed a real-time revenue assurance platform to reconcile high-volume CDR data across distributed systems with zero record loss.
Solution
Built a real-time reconciliation platform using NiFi for ingestion, ClickHouse for analytics, Spark for transformation, and Airflow for end-to-end orchestration on Kubernetes.
3x
Faster Reconciliation Cycle vs. Legacy Batch Processing
Java to PySpark Pipeline Migration with Apache Airflow
Challenge
Legacy Java ETL pipelines were hard to scale, costly to maintain, and blocked the team from adopting modern distributed processing frameworks.
Solution
Migrated all Java pipelines to PySpark, orchestrated end-to-end by Airflow, enabling scalable parallel processing with full output parity validation.
100%
Output Parity Validated Across All Migrated Pipelines
Apache NiFi & Airflow L3 Managed Support for a US Regional Bank
Challenge
A US regional bank needed enterprise L3 support for NiFi and Airflow, but lacked internal expertise and couldn't justify the cost of a full-time dedicated team.
Solution
Delivered fixed-cost L3 managed support with defined SLAs, CVE monitoring, and quarterly architecture reviews, fully compliant, predictably priced.
$27K
Fixed Annual Cost – Full L3 NiFi & Airflow Support
Telecom Data Reconciliation with NiFi, ClickHouse & Airflow
Challenge
A telecom operator needed a real-time revenue assurance platform to reconcile high-volume CDR data across distributed systems with zero record loss.
Solution
Built a real-time reconciliation platform using NiFi for ingestion, ClickHouse for analytics, Spark for transformation, and Airflow for end-to-end orchestration on Kubernetes.
3x
Faster Reconciliation Cycle vs. Legacy Batch Processing
Java to PySpark Pipeline Migration with Apache Airflow
Challenge
Legacy Java ETL pipelines were hard to scale, costly to maintain, and blocked the team from adopting modern distributed processing frameworks.
Solution
Migrated all Java pipelines to PySpark, orchestrated end-to-end by Airflow, enabling scalable parallel processing with full output parity validation.
100%
Output Parity Validated Across All Migrated Pipelines
Apache NiFi & Airflow L3 Managed Support for a US Regional Bank
Challenge
A US regional bank needed enterprise L3 support for NiFi and Airflow, but lacked internal expertise and couldn't justify the cost of a full-time dedicated team.
Solution
Delivered fixed-cost L3 managed support with defined SLAs, CVE monitoring, and quarterly architecture reviews, fully compliant, predictably priced.
$27K
Fixed Annual Cost – Full L3 NiFi & Airflow Support
Frequently Asked Questions
Quick answers to common questions about Airflow deployment, performance, and ongoing support.
Comprehensive Airflow support covers the full operational lifecycle: cluster installation, executor configuration (Celery/Kubernetes/Local), DAG authoring best practices, scheduler tuning, monitoring, secrets management, version upgrades, CI/CD integration, and 24/7 incident response for production pipeline failures.
CeleryExecutor uses a message broker (Redis or RabbitMQ) to distribute tasks to a fixed pool of worker nodes, best for predictable, steady-state workloads. KubernetesExecutor launches a fresh pod per task, best for burst workloads, isolation requirements, and environments where dynamic resource allocation matters more than task startup speed.
Yes. We manage the complete migration: pre-upgrade DAG compatibility audits, deprecated operator remediation (SubDagOperator, legacy hooks), database schema migration via airflow db upgrade, staging environment validation, provider package compatibility verification, and zero-downtime production cutover with rollback plans.
We support all major Airflow deployment models: self-managed on bare metal or VMs, Docker Compose, Kubernetes (Helm chart), Amazon MWAA, Google Cloud Composer, and Astronomer. Our support approach is tailored to the specifics of your infrastructure and executor model.
The most common causes are top-level code in DAG files increasing parse time, DAG serialization being disabled, metadata DB bloat from unarchived task instances, missing indexes on core tables, PgBouncer misconfiguration causing connection exhaustion, and too many DAG files being parsed per scheduler loop. Ksolves diagnoses and resolves all of these as part of its Airflow performance tuning service.
Our security hardening covers Fernet key rotation, DAG-scoped RBAC, LDAP/OAuth2/SAML SSO integration, secrets backend setup (Vault, AWS SSM, GCP Secret Manager), TLS for the webserver, and full audit logging aligned with SOC 2, HIPAA, and GDPR standards.
Our SLAs guarantee critical issue acknowledgement within 30 minutes and resolution within 1–4 hours, depending on plan tier. All SLAs are contractually backed, tracked in monthly compliance reports, and include a dedicated escalation path in the Platinum tier.
