Apache Kafka Services with LTS

We enable organizations to provide reliable and compliant Apache Kafka services that address their processes and security requirement.

Apache Kafka Consulting

• Architecture Planning and Streams Analytics
• Disaster Recovery Management
• Consulting and Supporting Technologies for the stream- processing platform
• Deploying Apache Kafka Across Data Centers

Implementation of System Software

• Design PatternsImplementation
• Hardware Sizing of Apache Kafka Components
• Streaming Application Implementation
• Security Implementation

Implementing System Software

Implementing Design Patterns
• Hardware Seizure of Apache Kafka
• Implementing Streaming Applications
• Implementing Security

Real-time Data Feed Support and Managed Services

• Tuning Log Collection
• Metric Monitoring and Alerting
• Solutions to Data Streaming and Processing Challenges
• Automatic Recovery of Apache Kafka Services

Developing and Deploying System Software Applications

Designing the Themes
• Developing system software Connect Plugins
• Developing Streaming Applications
• Deployment Strategies for Resilience and Availability

System Software Integration

• Integration with end-to-end expertise
• System software integration for communicating with microservices
• Integration with auto-creation.

Real-time Data Feed Support and Managed Services

• Tuning Log Collection
• Metric Monitoring and Alerting
• Solutions to Data Streaming and Processing Challenges
• Automatic Recovery of Apache Kafka Services

What is System Software Primarily Used For?

System software is widely used in the sample data space as a reliable way to quickly read and move large amounts of data due to its fault tolerance and scalability. A real-time streaming data pipeline is a data pipeline architecture that processes millions of events in real time at scale. Let's look at a specific use case where Kafka comes first.

Stream Processing

The stream processing platform by LTS allows you to build a streaming platform that transforms input real-time data feed topics into output real-time data feed topics. Ensure your application is distributed and fault-tolerant.

Website Activity Tracking

This is the first use case LinkedIn has done in the past that inspired the invention of System software. The company still uses system software to track real-time activity data and operational metrics.

Metric collection and monitoring

You can use Real-time data feed. Easily combined with real-time monitoring applications that read from system software topics.

Log Aggregation

Logs can be published to Kafka topics and stored in a Kafka cluster. This makes it easy to aggregate or process logs using Apache Kafka.

Real-time analytics

Real-time data feeds can process data as soon as it is available so you can use it for real-time analytics. You can transfer data from producers to data handlers and even data storage.

Microservices

You can also use –System software In Microservices. They benefit from system software by using it as the central intermediary that allows them to communicate with each other. This is the advantage of the publish/subscribe model. It is the receiver that asynchronously decides which events to receive. This makes stream processing platform-centric applications more reliable and scalable than non-system software architectures.

Why Choose LTS for Apache Kafka Services?

Proven Track Record

LTS has an impressive track record of successful implementations with satisfied customers.

Project Expertise

We have cross-functional expertise and highly specialized developers. LTS provides high-end system software support, training, and tutorials.

24/7 solutions

No matter big or small. You can contact us anytime. Clients can trust us around the clock.

High Durability

LTS provides highly durable stream processing platform deployment-optimized high-performance and fault-tolerant fabrics.

Low Latency

Provides a low latency Apache Kafka model.