Different organizations have different requirements. Our Confluent professionals will help you build a personalized data streaming strategy that meets your organizational needs.

Whether you are looking for Confluent platform integration, Confluent cloud migration, managed services, or similar solutions, we will tailor our services to your needs.

Our professionals will help you with:

• Reviewing your existing architecture
• Identifying Confluent Use Cases
• Creating an event-driven architecture blueprint
• Conducting on-premise vs. cloud evaluation
• Creating a goal-oriented roadmap and project timeline

Our strategic plan will help you implement Confluent with clarity and confidence according to your organizational needs.

You can run event streaming applications using both Confluent Platform and Confluent Cloud. The key difference between them lies in deployment and management.

Data Couch helps you implement Confluent Platform as well as Cloud, depending on your requirements. While Confluent Platform is a self-managed solution, Confluent Cloud is a fully managed cloud-native service. Our Confluent Platform integration services help you install and operate the software solution yourself. When it comes to cloud-native services, we help you receive personalized services from Confluent.

Our implementation services include:

• Setting up and configuring Kafka clusters
• Architecture deployment
• Broker and topic designing
• Integrating Kafka Connect with the right databases, SaaS solutions, APIs, or cloud storage.
• Setting up control center, schema registry, and ksqIDB
• Implementing ACLs, RBAC, and platform security
• Setting up hybrid, multi-region, or DR configurations

Our professionals will help you optimize Confluent as per your organizational requirements, designed specifically to handle your workloads.

If you need a holistic solution that supports both stream and batch processing, you should implement Apache Flink. This is an open-source data processing framework by Confluent capable of processing your data in streams and batches.

Apache Flink implementation helps you build scalable, high-performing, and event-driven applications and architectures for your business. Our Confluent professionals offer personalized Apache Flink implementation services that help you make the most of the platform’s rich feature set.

Our services give you access to Flink features that best suit your organization. The most sought-after features include:

• Exactly-once consistency guarantee (to prevent data loss and duplication)
• Sophisticated state management
• Event time processing semantics
• Checkpoints
• Savepoints

Implementing Apache Flink facilitates complex event processing and analytics. It unifies stream and batch processing to handle bounded and unbounded streams. Moreover, our Flink implementation services help you run stateful applications at all scales. The versatile framework can handle large data sets by parallelizing your data into thousands of tasks. These tasks are distributed into multiple machines, leading to minimal latency and throughput loss.

Our Confluent experts help you re-architecture your systems with an even-first design. This eliminates silos and slow data pipelines holding your tasks back.

Our Confluent architecture design services include:

• Event modeling
• Topic taxonomy (to create a logical and easy-to-navigate framework)
• Microservices native to Apache Kafka
• Developing CDC (change data capture) pipelines
• Event sourcing and stream processing

We will help you build an event-driven architecture that suits your business needs and helps you attain your organization’s goals.

We help you optimize your processes by building scalable data pipelines on Confluent. These pipelines facilitate real-time data transformation and movement.

Some of our services include:

• Implementing source and sink connectors
• Building ETL/ELT data pipelines using Kafka Flink, Connect, or Streams
• Integrating your pipeline with platforms like Snowflake, Airflow, Databricks, Spark, and more
• Streaming your data to/from NoSQL and relational databases
• Facilitating real-time ingestion from APIs, apps, or IoT devices
• Integrating your pipeline with cloud storage as per your requirements

Seamless data pipeline development ensures a steady and continuous data flow across your organization with minimum latency.

If you are already using Confluent, Data Couch helps you optimize it and leverage its performance. Depending on your requirements, our experts tailor the platform for more efficiency and better cost-effectiveness.

Our Confluent performance tuning and optimization services include:

• Capacity planning
• Broker tuning
• Personalized replication and partitioning strategies
• Lag and throughput analysis
• Setting up tiered storage
• Dashboards monitoring

We ensure that you get the best Confluent version with faster throughout, better system health, and low operational overheads.

If you want to focus on your core business processes, we will help manage your data streaming platform. Our ongoing support and managed services keep Confluent up and running for your organization according to your requirements.

Our services include:

• Infrastructure monitoring 
• Setting up automated backup and recovery
• Log aggregation
• Root cause analysis
• Conducting cluster upgrades
• Scaling Confluent for your organization

The aim of our Confluent managed services is to give you peace of mind while you focus on high-priority tasks.

Along with consulting, our team also offers personalized Confluent training services. We tailor the subject matter and courses according to your requirements and help your team learn all aspects of the data streaming platform.

From beginners to experts, our training is applicable to professionals working at all levels. We also have dedicated courses for specific designations. Whether you are looking for group or one-to-one training sessions, we are happy to help your team learn how to use and optimize Confluent for your organization.

Systematic Confluent training gives your professionals the autonomy they need to make quick and informed decisions. It reduces dependency and empowers your team to navigate the platform confidently.