Kafka のコストを 25% 以上削減 | Confluent コスト削減チャレンジに参加
Prior to the pandemic, Communication Service Providers (CSPs) already had a lot going on. Increased pricing competition meant you had to invest heavily to build your brand, create efficient billing systems and keep up with customer demands for speedier data connectivity and content delivery. The increased usage of video, text and data over the past couple of years have only increased reliance on your critical network infrastructure.
How can you meet or even exceed customer expectations while being able to identify network faults and reroute traffic in real time?
This is where Confluent and data in motion can help.
With Confluent's foundational platform to set your data in motion, you can unlock the value of real-time data, from multiple sources streaming across your enterprise, to build rich digital front-end customer experiences and transition to real-time backend operations.
You can unlock new revenue streams, deliver personalized customer experiences, limit churn, and reduce operating expenses with a future-proof data architecture built to process real-time data at scale.
Data in motion is used by the top CSPs for a wide variety of use cases.
Unlock new revenue streams. Reimagine customer experiences. Modernize your OSS stack. Future-proof for scale.
Combine data from your mobile, fixed line, broadband, streaming business and social feeds to build a customer 360 view and offer personalized offers and promotions. Act at the right time with the right next best offer to reduce churn.
Collect and run analytics on IoT sensor and device data from connected vehicles. Improve traffic congestion and reduce vehicle emissions with real-time routing services and smart traffic management systems.
Integrate and process data at the edge from audio, video, and sensor feeds using 5G, and build data pipelines for analytics workloads on the cloud. Offer differentiated try-before-you-buy experiences based on augmented reality, provide location-based services and real-time notifications to customers to increase cross-sell and upsell opportunities.
Identify network faults, reroute traffic, and send pro active alerts to customers in case of outages. Plan and deploy your networks to maximize ROI, based on telemetry data, customer usage, and real-time analytics.
Create real-time dashboards for insights into key customer metrics and automate customer support, network operations, and back-office functions.
Identify and isolate threats to your network in real time with multi-access edge computing and stream processing. Protect against Denial of Service attacks on users based on geo-location and perform predictive baselining of resource usage to identify trends.
Go from idea to proof-of-concept with a toolkit of code samples for the most popular use cases for Communication Service Providers.
Accelerate application development, reduce operational burden and technical debt, fast track to the cloud and propel your businesses forward.
Democratize Apache Kafka® for a wider range of developers and accelerate how fast they build event streaming applications.
Minimize operational complexity while ensuring high performance and scalability as data streaming grows throughout your organization.
Architect the platform with the foundational enterprise-level attributes needed to implement data streaming in production.
Built by the original creators of Kafka, get Gold support from the world’s foremost Kafka experts, who work directly with Kafka committers to assist you throughout the application development lifecycle.
Deploy On premises, in public or hybrid cloud, from bare metal to Kubernetes, or leverage a fully managed, cloud-native service with Confluent Cloud.
Offload the burden of Kafka management, save on hardware, and automatically fine-tune your infrastructure to maximize efficiency and core business value.
「Kafka は当社にとってまさに最適な、ストリーミング分析のデファクトスタンダードとして機能し、マルチテナント環境で水平的なスケーラビリティを大規模に実現してくれるソリューションです。Confluent は当社の高いコンプライアンス、セキュリティ、耐障害性基準を満たすもので、ミッションクリティカルな顧客の要件に対応するため、自信を持って Kafka を選択できました。」
Manu Mukerji 氏、Senior Director of ML, AI, and Analytics