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USE CASE | MICROSERVICE COMMUNICATION
Migrate From Monoliths to Event-Driven Microservices
Completely decouple your architecture and eliminate inter-service dependencies so developers can build business logic faster. Build a new class of highly scalable event-driven microservices that are resilient in design and contextually aware.
Increase developer velocity
Build highly reliable and fault tolerant microservices
Reduce technical debt and operational costs
Challenges With Monoliths and Microservices
Software applications are essential to modern business performance. Traditional, monolithic architectures were built as a single code base across shared databases and deployed as unified units. While this architecture was effective in the past, it longer meet the demands of today’s rapid, iterative development cycles. Their tightly coupled structure limits agility, slows innovation, and increases operational risk.
To overcome these limitations, many organizations adopted event-driven microservices architectures. However, the common communication methods used in these environments, such as REST APIs and message queues, introduce new challenges that echo those of monoliths.
These issues include slow release and update cycles, limited reliability and scalability, elevated operational costs, and increased technical debt.
Discover Key Benefits of Streaming Integration for Event-Driven Microservices
Organizations integrate microservices with Apache Kafka® for its inherent scalability, flexibility, and resilience, not because they want to take on complex operations. Confluent's fully-managed data streaming platform equips your team to easily decouple and scale systems, turn event streams into data products, and innovate faster.
Real-Time, Decoupled Services
Confluent enables asynchronous, event-driven communication so microservices operate independently. Teams can ship faster, reduce API dependencies, and build highly responsive, real-time systems.
Elastic, High-Throughput Scale
Built on Kafka, Confluent supports massive horizontal and elastic scale from 0-GBps+. Services scale independently with zero-downtime as workloads grow.
Resilient and Available Data
Confluent provides multi-AZ durability, data replication, and a persistent event log. Microservices can replay events, recover state, and operate reliably even during infrastructure failures.
Fully Managed, Low-Overhead Operations
Confluent Cloud automates upgrades, scaling, and cluster management. Teams eliminate operational burden, improve reliability, and focus on building microservices—not running infrastructure.
Unified Interoperability
Confluent enables seamless communication across microservices built in any language or framework. With broad client and connector support, teams can modernize systems faster and operate consistently across hybrid and multi-cloud environments.
Lower Total Cost of Ownership
Confluent Cloud reduces infrastructure, operational overhead, and support costs by eliminating cluster management and automating scaling, upgrades, and reliability. Teams spend more time building features and less time maintaining systems.
How to Build Event-Driven Microservice Applications With Confluent
Confluent enables a new class of event-driven microservices and serves as the data backbone for your streaming applications. As a result, organizations can rapidly build and deploy state-of-the-art, cloud-native applications with greater flexibility, at scale, and be more responsive to customer demands. Deploy on-prem, in the cloud, or both with a variety of deployment frameworks.
“Our overall goal as an organization is to make data-driven decisions. My team has been focused on reducing data latency—or what we call speed to insights. The faster our developers can innovate and analytics teams can provide data-driven insights, the better our business and client experience becomes. Confluent allows us to deliver the enriched, governed data any business unit or customer needs in real time.”
"Confluent provides a complete publish-subscribe environment, the ability to replay, and the ability to create a data mesh and have applications tap straight into materialized views. “So, it’s really a great support for microservices. In the long run, we want to make Confluent the single source of truth for all of our services.”
"On top of the features and capabilities of the platform, partnership has played a key role in our decision to use Confluent…The Confluent team…made sure we had all the information and tools we needed to make our event-driven transition successful."
“Our legacy platform was built using message queues and technologies that were between 10 and 20 years old. Confluent offers a resilient, low-latency messaging backbone for an architecture that has enabled us to increase agility, streamline DevOps, and shorten time to market.”
“The scale and robustness of the system we built with Confluent Cloud have played a key role in accelerating our success in our mission of discovering new treatments and has helped us bring new treatments to human clinical trials.”
