24/7 Apache Cassandra Support
For High-Availability &
Mission-Critical Clusters.
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 Cassandra Support That’s Built to Meet the World's Strictest Data Standards.
En(AI)blingTM Success for Industry Leaders
Our Cassandra Support Packages in the USA
Whether you run a small Cassandra deployment or a large-scale distributed environment, our plans provide support designed around your operational needs.
Standard
Advanced
Platinum
Still Running Cassandra 3.x or 4.x? Upgrade to Cassandra
5.x
for Faster Reads, Better Consistency & Enhanced
Security
Delivering Measurable Outcomes for Cassandra-Driven Businesses
Organizations across finance, healthcare, telecom, and manufacturing trust Ksolves to optimize and support mission-critical Apache Cassandra environments.
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 the 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 Cassandra Support Services to Keep Your Full Infrastructure Lifecycle Running
From initial cluster deployment and data model design to 24×7 Cassandra support and Cassandra 5.x adoption, one team handles your entire Cassandra lifecycle, so nothing falls between teams.
24x7 Cluster Operations, Fully Managed
Our certified engineers act as your dedicated Cassandra DBA team, managing, monitoring, and optimizing clusters 24x7 so your teams can focus on applications, not infrastructure issues.
- Cluster installation across bare metal, Kubernetes, and cloud
- Seed node configuration and gossip ring management
- Automated backup and disaster recovery
- Configuration management and version control
- Resource usage reports and performance summaries
Proactive Monitoring Built to Prevent Disruptions
Ksolves builds and operates the Cassandra proactive monitoring stack that detects issues from compaction backlogs to GC overhead pressure, before they become outages.
- Real-time cluster health dashboards with Prometheus, Grafana, and Datadog
- Thread pool executor monitoring with blocked task alerts
- Compaction throughput and SSTable count monitoring
- JVM GC log analysis correlated with latency spikes
- Dropped message monitoring across READ, MUTATION, and HINT
Compliance-Ready Security at Every Layer
Ksolves applies defence-in-depth across authentication, encryption, and access control for GDPR, HIPAA, PCI-DSS, and SOC 2 environments.
- RBAC with PasswordAuthenticator and CassandraAuthorizer
- Mutual TLS (mTLS) for client-to-node and inter-node encryption
- AuditQueryLogger capturing DDL, DCL, DML, and AUTH events
- SSTable-level Transparent Data Encryption (TDE)
- Compliance reporting for GDPR, HIPAA, PCI-DSS, and SOC 2
Zero-Downtime Version Upgrades
Ksolves manages rolling upgrades and version migrations with zero downtime, including full Cassandra 5.x transition.
- Rolling cluster upgrade and patch management with zero downtime
- Pre-upgrade sstableupgrade validation and repair scheduling
- Cassandra 2.x / 3.x to 4.x migration with thrift removal
- Cassandra 3.x / 4.x to 5.x migration with UCS, SAI, and CEP-21
- Post-upgrade consistency verification and latency benchmarking
Deep-Layer Performance Engineering
Ksolves debugs Apache Cassandra performance issues at the schema, compaction, and JVM layer and fixes them at the root, not the symptom.
- Partition key review to eliminate hot partitions and vnode imbalance
- Compaction strategy tuning: STCS, LCS, TWCS, and UCS
- Tombstone diagnosis with gc_grace_seconds and threshold tuning
- JVM GC tuning — G1GC for 3.x/4.x and ZGC for 5.x
- Storage-Attached Index (SAI) design replacing legacy 2i and SASI
Schema and Topology Optimisation
Ksolves audits both the cluster topology and the data model — and fixes whichever is the binding performance constraint.
- Full keyspace and table schema audit
- Query-driven data modelling to eliminate ALLOW FILTERING
- Replication factor and consistency level optimisation
- Incremental and primary-range repair scheduling
- TTL and TWCS-based data archival strategy
Incident Resolution and Root Cause Analysis
Production Cassandra incidents are rarely simple. Ksolves traces every symptom to the actual root, closes it, and documents it so it never recurs.
- Emergency triage for Cassandra cluster down events and ring instability
- Nodetool diagnostics: tpstats, cfhistograms, and proxyhistograms
- Hinted handoff investigation with targeted subrange repair
- Tombstone-driven read timeout diagnosis and remediation
- Full written RCA for engineering and compliance review
Through the Client's Lens
Why Ksolves is a Trusted Choice of Global Teams for Apache Cassandra Support?
Backed by certified expertise and SLA-driven support, Ksolves helps enterprises maximize Apache Cassandra 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 Cassandra
From real-time analytics to high-volume transaction systems, Ksolves is a trusted managed Apache Cassandra service provider that helps industries run Apache Cassandra with maximum performance, resilience, and uptime.
Financial Services & Fintech
High-throughput write workloads with active-active multi-DC consistency. Ksolves has tuned LOCAL_QUORUM topologies, eliminated hot partitions, and kept p99 read latency flat under peak transaction load.
Telecommunications
Petabyte-scale CDR storage with strict TTL management. Ksolves has implemented TWCS compaction for TTL-bounded tables and maintained five-nines availability across multi-region clusters.
Healthcare & Life Sciences
HIPAA-compliant patient data with full audit trail requirements. Ksolves has deployed SSTable-level TDE, configured AuditQueryLogger, and enforced least-privilege RBAC across clinical environments.
Retail & E-Commerce
Flash sale traffic spikes that expose partition design weaknesses instantly. Ksolves has redesigned schemas to handle 10x write surges and tuned speculative execution to hold tail latency stable under node degradation.
Government & Public Sector
Zero data loss and full datacenter failover with data sovereignty obligations. Ksolves has architected DC-DR replication, managed national-scale peak load, and validated failover through live DR testing.
Media & Entertainment
Billions of daily user events powering recommendation engines at a global scale. Ksolves has optimised wide-partition schemas with TWCS and replaced secondary index scans with SAI-based query patterns.
IoT & Manufacturing
Millions of sensor writes per second with bounded storage growth requirements. Ksolves has designed TWCS time-series schemas, implemented TTL retention policies, and integrated edge telemetry pipelines.
Logistics & Supply Chain
Real-time shipment and fleet state across distributed regions. Ksolves has built multi-DC replication topologies, tuned LOCAL_QUORUM consistency, and delivered DR runbooks meeting sub-hour RTO.
Ksolves on Cassandra: Insights from Enterprise Experts
Explore the latest Cassandra trends, performance strategies, and expert insights for building scalable, resilient, and high-performing data environments.
Success Stories from Global Enterprises
Discover real-world case studies showcasing measurable outcomes, faster performance, and successful digital transformation journeys.
Cassandra Migration to On-Premises VMs
Challenge
A 50TB Cassandra cluster on Kubernetes delivered inconsistent read latency. Containerisation blocked hardware-level tuning and cloud storage costs kept rising.
Solution
Migrated to on-premises VMs using dual migration paths, NVMe storage, and NUMA-aware CPU pinning with zero service interruption.
40%
Annual Storage Cost Reduction
Cassandra 5.x SAI Migration
Challenge
Five denormalized tables storing the same data inflated a 120TB cluster with redundant writes and weeks-long schema changes per new feature.
Solution
Consolidated into a single Golden Record table with SAI indexing, enabling multi-column queries without table redesigns or write amplification.
50%
Cloud Storage Cost Reduction
Cassandra Compaction Unified with UCS
Challenge
Three separate compaction strategies across 340 tables consumed 18 engineering hours weekly, with I/O bottlenecks pushing p99 read latency as high as 180ms.
Solution
Replaced STCS, LCS, and TWCS with a single UCS deployment using T4/L10 adaptive tuning and parallel sharding, migrated live, zero maintenance windows.
2X
Compaction Throughput
Cassandra Cluster Scaled for Peak Load
Challenge
A 50M-user government financial platform suffered query timeouts and surging read latency during peak cycles, with disk utilization hitting 100% and no automated maintenance in place.
Solution
Added nodes with zero downtime, reclaimed 1.2TB via targeted cleanup, and deployed Cassandra Reaper for automated repair scheduling across the cluster.
40%
Reduction in Read Query Latency
Cassandra DC-DR for Zero Data Loss
Challenge
A single-site Cassandra cluster with no failover left all government workloads exposed to total service loss, blocking new project onboarding requiring formal DR certification.
Solution
Deployed a two-datacenter topology using NetworkTopologyStrategy and LOCAL_QUORUM writes, bootstrapped live with zero downtime and a tested failover runbook.
30 Min
Recovery Time Objective
Cassandra Migration to On-Premises VMs
Challenge
A 50TB Cassandra cluster on Kubernetes delivered inconsistent read latency. Containerisation blocked hardware-level tuning and cloud storage costs kept rising.
Solution
Migrated to on-premises VMs using dual migration paths, NVMe storage, and NUMA-aware CPU pinning with zero service interruption.
40%
Annual Storage Cost Reduction
Cassandra 5.x SAI Migration
Challenge
Five denormalized tables storing the same data inflated a 120TB cluster with redundant writes and weeks-long schema changes per new feature.
Solution
Consolidated into a single Golden Record table with SAI indexing, enabling multi-column queries without table redesigns or write amplification.
50%
Cloud Storage Cost Reduction
Cassandra Compaction Unified with UCS
Challenge
Three separate compaction strategies across 340 tables consumed 18 engineering hours weekly, with I/O bottlenecks pushing p99 read latency as high as 180ms.
Solution
Replaced STCS, LCS, and TWCS with a single UCS deployment using T4/L10 adaptive tuning and parallel sharding, migrated live, zero maintenance windows.
2X
Compaction Throughput
Cassandra Cluster Scaled for Peak Load
Challenge
A 50M-user government financial platform suffered query timeouts and surging read latency during peak cycles, with disk utilization hitting 100% and no automated maintenance in place.
Solution
Added nodes with zero downtime, reclaimed 1.2TB via targeted cleanup, and deployed Cassandra Reaper for automated repair scheduling across the cluster.
40%
Reduction in Read Query Latency
Cassandra DC-DR for Zero Data Loss
Challenge
A single-site Cassandra cluster with no failover left all government workloads exposed to total service loss, blocking new project onboarding requiring formal DR certification.
Solution
Deployed a two-datacenter topology using NetworkTopologyStrategy and LOCAL_QUORUM writes, bootstrapped live with zero downtime and a tested failover runbook.
30 Min
Recovery Time Objective
Frequently Asked Questions
Get quick answers to common questions about Cassandra deployment, performance, and ongoing support.
Cassandra is a distributed NoSQL database built for high-volume writes, multi-datacenter replication, and always-on availability. Common use cases include time-series data, user session management, IoT telemetry, fraud detection, and real-time analytics at scale. Ksolves provides Apache Cassandra production support across all these use cases, from initial cluster setup to 24×7 Cassandra support.
Cassandra is optimised for high-throughput writes and linear horizontal scaling across multiple datacenters with no single point of failure. MongoDB is document-oriented and better suited for flexible querying and moderate write workloads. Cassandra wins on write performance and availability; MongoDB wins on query flexibility.
The partition key determines which node stores a row and how data is distributed across the cluster. A poorly chosen partition key creates hot spots, where one node takes a disproportionate share of traffic, causing latency spikes and cluster imbalance. Ksolves conducts partition key reviews as part of its Cassandra performance tuning and data model optimisation service.
Cassandra replicates data across nodes using a replication factor set per keyspace. NetworkTopologyStrategy distributes replicas across racks and datacenters. The consistency level — LOCAL_QUORUM, QUORUM, ONE — controls how many replicas must respond before a read or write succeeds. Cassandra replication lag and consistency level errors are among the most common issues Ksolves resolves for enterprise teams.
The most common causes are tombstone accumulation, wrong compaction strategy, oversized partitions, JVM GC overhead, and thread pool saturation. Diagnosing Apache Cassandra performance issues requires correlating cfhistograms, tpstats, and GC logs — not just CPU and memory metrics. Ksolves debugs Apache Cassandra performance issues at every layer as part of its Cassandra DBA support service.
Yes, with the right schema design. Use a time-bucketed partition key to bound partition size, a timestamp clustering column for ordering, and TimeWindowCompactionStrategy (TWCS) to align SSTables with TTL boundaries for efficient compaction and expiry.
Cassandra 5.0 introduced Unified Compaction Strategy (UCS), Storage-Attached Indexes (SAI) replacing SASI, and vector similarity search (CEP-21) for AI/ML workloads. It dropped Java 8 support, requiring JDK 17 with ZGC for better GC performance. Ksolves manages end-to-end Cassandra 4.x to 5.x migrations, including UCS adoption assessment, SAI migration planning, and zero-downtime rolling upgrades.
