Ahorra un 25 % (o incluso más) en tus costes de Kafka | Acepta el reto del ahorro con Kafka de Confluent
Desacopla completamente tu arquitectura y elimina las dependencias entre servicios para que los desarrolladores puedan crear lógica empresarial más rápidamente. Crea una nueva clase de microservicios event-driven que sean altamente escalables, resilientes en diseño y sensibles al contexto.
Software applications are the secret sauce of success for modern businesses today. But legacy applications in the past, despite having a logical modular design, were built as a large monolith with a single code base, sharing access to a single database and deployed as a single unit. While this approach worked a decade ago, this kind of tightly coupled architecture has many drawbacks in today’s environment where agile development to accelerate continuous innovation is critical to competitive success.
These challenges with monolithic applications resulted in organizations adopting a microservices architecture but as is so often the case, new technologies that solve problems in one area introduce new problems in others. And these problems with REST APIs and Message Queues, used for inter-service communication are not dissimilar to the challenges from monoliths.
These challenges include slow release/update cycles for new features, a lack of reliability and scale, as well as high operational costs and mounting technical debt.
Confluent, se creó sobre Apache Kafka, permite una nueva clase de microservicios event-driven al desacoplar completamente los servicios entre sí, y sirve como columna vertebral de datos para tus aplicaciones de event-streaming. Como resultado, las organizaciones pueden crear e implementar rápidamente aplicaciones cloud-native de última generación con mayor flexibilidad a escala y ser más receptivas a las demandas de los clientes. Implementa en on-prem, en cloud o en ambos, con diversos marcos de implementación.
Eliminate the operational hassles for cluster management, so your developers can spend more time building applications. Remove dependencies between systems with a completely decoupled architecture and standardized schemas. Build and scale stateful services and real-time stream processing applications, faster using familiar SQL syntax.
Facilitate easy data access so each team has access to the right data at the right time for their specific needs. Eliminate slowdown and outages due to slow consumers. Meet regulatory needs by saving trusted, high-quality data for as long as your business needs.
Incrementally modernize from monoliths to microservices to reduce the operational costs of running legacy applications. Migrate your supporting data infrastructure at your own pace to a modern event-driven architecture. All with no downtime or business disruption.
Eliminate the operational hassles for cluster management with a fully managed cloud-native service that can elastically scale between 0-100MBps. Work in the language of your choice including Java, C, Node.js, Ruby, Go, .NET, or Python.
Eliminate inter-service bottlenecks and dependencies so developers can seamlessly connect to any data system while maintaining schema compatibility, version control, and quality assurance.
Build high-quality, reusable data streams with the industry’s only cloud-native, serverless Apache Flink® service, fully integrated with Apache Kafka® on Confluent Cloud across all three major clouds.
Build a system of record for systems and applications while eliminating slowdown due to slow or offline consumers. Build multi-datacenter, multi-region and hybrid cloud deployments for high availability and disaster recovery scenarios.
Discover, understand, and trust your event streams with Stream Catalog, Stream Quality and Stream Lineage, while offloading the management to Confluent.
Instantly connect to any legacy system with a rich ecosystem of 120+ fully managed connectors including CDC, JMS, and JDBC connectors. Incrementally migrate data from monoliths to microservices to modernize legacy applications with no business disruption.
“Using the credit scoring system we built atop Confluent (and an event-driven architecture), we can identify customers at risk of default and reach out to them before default occurs. And on the microfinance side, we’re seeing non-performing loan (NPL) rates close to 0%, which is unprecedented.”
Kaspar Situmorang, Executive Vice President, BRI
“Using Confluent-designed microservices has allowed us to cut our go-to-market time in half. Confluent plays a pivotal role in delivering messages between microservices-based applications and connecting all our services as a core foundation.”
Hudson Lee, Platform Engineering Leader, eBay Korea
“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.”
Sunarto Rahardja, SVP and Head of Software Development, SGX
“Like any large bank or large enterprise, new projects in the past typically entailed developing specific point-to-point integrations for exchanging data.
With Confluent, we can put that data on a topic and have it consumed by multiple systems. From a technical standpoint, democratizing the data in this way provides tremendous value both in terms of efficiency and project cost reductions. And from a business standpoint, projects that can make use of data that’s already on a topic benefit from significantly shorter time to market.”
Scott Tucker, Director of Open Bank Engineering, KeyBank
“The solution we built with Confluent enabled us to build a scalable event-driven architecture that helped lower costs, increase automation, eliminate errors, and open new business opportunities that are already generating more than $10 million in revenue in the first year.“
— Jeffrey Jennings, VP of Data, Acertus
“Kafka provides the backbone for how all of our systems communicate with each other reliably and gives our engineers the flexibility to think and design systems at a higher level. And Confluent Cloud makes all of that so much easier because we don’t have to worry about operational aspects of our Kafka deployment."
Ben Mabey, VP of Engineering, Recursion
“Using the credit scoring system we built atop Confluent (and an event-driven architecture), we can identify customers at risk of default and reach out to them before default occurs. And on the microfinance side, we’re seeing non-performing loan (NPL) rates close to 0%, which is unprecedented.”
Kaspar Situmorang, Executive Vice President, BRI
“Using Confluent-designed microservices has allowed us to cut our go-to-market time in half. Confluent plays a pivotal role in delivering messages between microservices-based applications and connecting all our services as a core foundation.”
Hudson Lee, Platform Engineering Leader, eBay Korea
“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.”
Sunarto Rahardja, SVP and Head of Software Development, SGX
“Like any large bank or large enterprise, new projects in the past typically entailed developing specific point-to-point integrations for exchanging data.
With Confluent, we can put that data on a topic and have it consumed by multiple systems. From a technical standpoint, democratizing the data in this way provides tremendous value both in terms of efficiency and project cost reductions. And from a business standpoint, projects that can make use of data that’s already on a topic benefit from significantly shorter time to market.”
Scott Tucker, Director of Open Bank Engineering, KeyBank
“The solution we built with Confluent enabled us to build a scalable event-driven architecture that helped lower costs, increase automation, eliminate errors, and open new business opportunities that are already generating more than $10 million in revenue in the first year.“
— Jeffrey Jennings, VP of Data, Acertus
“Kafka provides the backbone for how all of our systems communicate with each other reliably and gives our engineers the flexibility to think and design systems at a higher level. And Confluent Cloud makes all of that so much easier because we don’t have to worry about operational aspects of our Kafka deployment."
Ben Mabey, VP of Engineering, Recursion
“Using the credit scoring system we built atop Confluent (and an event-driven architecture), we can identify customers at risk of default and reach out to them before default occurs. And on the microfinance side, we’re seeing non-performing loan (NPL) rates close to 0%, which is unprecedented.”
Kaspar Situmorang, Executive Vice President, BRI
Getting started is easy. Sign up today for a live demo or check out one of our white papers on this topic.
Empieza a modernizar tus necesidades de mensajería con la única plataforma de data in motion multicloud del sector. Implementa en cloud de tu elección: AWS, Azure, Google Cloud o tu propia infraestructura.
Fully managed, cloud-native service for Apache Kafka
Deploy in minutes. Pay as you go. Available everywhere your data needs to be.
Recibe más información sobre microservicios, arquitectura event-driven, event streaming en tiempo real y guía de primeros pasos con nuestras soluciones de microservicios.