Event Streaming Solutions

Event streaming refers to the process of continuously capturing, processing, and analysing real-time data streams generated by events occurring within an organization’s systems, applications, or external sources. These events can include user interactions, system events, sensor data, financial transactions, and more. Event streaming platforms enable organizations to harness the power of real-time data to drive insights, make decisions, and take immediate actions. 

Key components of event streaming include: 

• Event Capture: Event streaming platforms capture events from various sources, such as databases, applications, IoT devices, and external APIs, in real-time or near real-time. 
• Event Processing: Events are processed as they are received, using stream processing techniques to filter, transform, enrich, and aggregate data in-flight. Stream processing enables organizations to derive insights from data as it flows through the system, without the need to store it first. 
• Event Storage: Processed events can be stored in a distributed, scalable, and fault-tolerant storage system, such as Apache Kafka, Apache Pulsar, or cloud-based data warehouses. Event storage enables organizations to retain historical data for analysis, auditing, and compliance purposes. 
• Event Analytics: Event streaming platforms provide tools and frameworks for performing real-time analytics on streaming data, including complex event processing (CEP), machine learning (ML), and predictive analytics. These capabilities enable organizations to detect patterns, anomalies, and trends in real-time, driving actionable insights and decision-making. 
• Event Visualization: Event streaming platforms offer visualization tools and dashboards for monitoring and analyzing streaming data, enabling stakeholders to visualize events, metrics, and KPIs in real-time and track performance against predefined goals and thresholds. 
• Event Integration: Event streaming platforms integrate with existing systems, applications, and analytics tools, enabling seamless data flow and interoperability across the organization’s technology stack. Integration capabilities include connectors, APIs, and SDKs for connecting to databases, message queues, data lakes, and other data sources. 
• Event Driven Architecture: Event streaming promotes event-driven architecture (EDA), where applications and services communicate and react to events asynchronously, decoupling components and enabling scalability, resilience, and agility. EDA enables organizations to build responsive, event-driven applications that can react to changes and events in real-time.

• We have expertise team on all iPaaS Managed Service needs using Boomi, Mulesoft, SAP CPI, Salesforce etc..
• Have technical skills on API, B2B, A2A, EDI, MDM/Hub, Flow/BPM, Queue/JMS .
• Right now we are working for 3 trusted clients with 40 certified experts holding 20 live projects.
• We have done 10 Innovative POC’s.
• We have a rapid increase in the overall company growth from 2017.