Big Data & Analytics

Apache Ignite

Our Apache Ignite-based solutions help organizations achieve high-speed data processing, in-memory computing, and real-time analytics.

Key Service Propositions

Lightning-Fast In-Memory Computing

Achieve sub-millisecond response times with distributed caching and computing.

Hybrid & Multi-Cloud Deployments

Deploy Apache Ignite on AWS, Azure, GCP, Kubernetes, OpenShift, and on-premises.

High Availability & Fault Tolerance

Ensure zero downtime with replication, partitioning, and failover strategies.

Security & Compliance

Ensure zero downtime with replication, partitioning, and failover strategies.

Performance Optimization

Ensure zero downtime with replication, partitioning, and failover strategies.

24/7 Monitoring & Support

Proactive issue resolution, real-time monitoring, and SLA-backed enterprise support.

Service Offerings

Apache Ignite Deployment & Configuration

Cluster Setup & Distributed Caching — Deploy Apache Ignite clusters for in-memory data grids and caching. –

Multi-Cloud & Hybrid Deployments — Set up Apache Ignite in AWS, Azure, GCP, Kubernetes,OpenShift, or on-prem. –

Data Partitioning & Replication — Optimize distributed data storage with partitioned and replicated modes. –

Persistent Storage & Backup — Enable durable storage using Ignite's Native Persistence or external databases. –

Apache Ignite Security & Access Control

OAuthentication & Authorization — Implement LDAP, Kerberos, OAuth, and JAAS-based security mechanisms. –

Role-Based Access Control (RBAC) & ACLs -Enforce fine-grained permissions for nodes and applications. –

End-to-End Encryption — Secure Ignite clusters with TLS/SSL encryption and network security policies. –

Compliance Readiness — Ensure Ignite adheres to GDPR, HIPAA, PCI-DSS, and ISO 27001 security standards –

High Availability & Performance Tuning

Clustering & Load Balancing — Implement distributed compute grids with horizontal scaling. –

Low-Latency Query Optimization — Tune Ignite for SQL key-value, and scan query performance. –

Compute Grid Optimization — Optimize Igniters distributed computation for machine learning and analytics. –

Persistence & Durability — Configure Ignite Native Persistence and database synchronization (PostgreSQL MySQL, MongoDB, etc.) –

Apache Ignite Integration & Data processing

SQL & NoSQL Data Stores - Connect Apache Ignite with PostgreSQL, MySQL, Cassandra, MongoDBr and HDFS. –

Machine Learning & Al Workloads —Leverage Ignite's distributed ML algorithms for real-time predictions. –

Streaming & Event Processing — Integrate with Apache Kafka, Apache Flink, and Apache Spark for real-time analytics. –

Microservices & API Caching - Use Apache Ignite as a distributed cache for REST APIs and service mesh architectures. –

Managed Apache Ignite Services & Enterprise Support

24/7 Cluster Monitoring & SLA-Backed Support — Ensure high availability with proactive troubleshooting and scaling. –

Automated Upgrades & Patch Management — Keep Apache Ignite secure and up-to-date. –

Multi-Region Data Replication –

Ensuring business continuity with data resiliency

Rapid Recovery & Incident Response –

Quick rollback strategies in case of failures

Monitoring, Logging & Observability

Real-Time Performance Metrics & Dashboards — Integrate Ignite monitoring with Prometheus, Grafana, and ELK Stack. –

Event Logging & Distributed Tracing — Enable structured logging for debugging and root-cause analysis. –

Alerting & Incident Response - Configure custom alerts for node failures, memory leaks, and performance degradation. –

Audit Logging & Compliance Reporting —Maintain visibility into Ignite's security and operational activities. –

Supported Workloads

Kubernetes & OpenShift-Based Applications

Hybrid & Multi-Cloud Deployments

Edge & IoT Workloads

AI/ML & Big Data Applications

Regulated & Security-Critical Industries

Microservices & Service Mesh Replacements