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Explore how Aiven’s Data and AI platform reduces infrastructure expenses and improves resource utilization to accelerate time to market.
From rapid technological advancements to increasing user demands, software companies must continuously adapt their data and infrastructure management strategies to meet the evolving needs of customers.
Stay ahead of the curve by focusing on these key use cases, ultimately accelerating product development and delivering value to customers faster.
With Aiven’s open-source data solutions, you can speed-up development cycles, optimize costs, and embrace multi-cloud flexibility – all while Aiven handles the complex data infrastructure behind the scenes.
Bring Your Own Cloud
Control your data in your own cloud account, while reducing costs up to 30% by offloading service infrastructure management responsibility to Aiven.
Accelerated development
Deploy services with just a few clicks and simplify operations with standardized security, governance, and observability.
Built-in Resiliency
Ensure business continuity with cross-region and cross-cloud backups, disaster recovery, and dedicated virtual machines featuring a 99.99% uptime SLA.
Open Choice
Leverage popular open-source technology and access a vast talent pool to build top solutions while enjoying the freedom to use multiple clouds.
Optimized Product Development: Rapidly identify product usage patterns and feature gaps to prioritize development efforts accordingly.
Accelerated Time-to-Insight: Enable decision-making and problem-solving by uncovering trends, anomalies, and opportunities through the data in your analytical layer.
Reduced Operational Overhead: Efficiently stream data changes to minimize the burden on operational systems and ensure critical business processes continue to run smoothly.
Cost Reduction: Leverage discounts and pricing plans across providers to select the most cost-effective solution for your cloud needs.
Disaster Recovery: Reduce reliance on a single cloud provider and distribute critical systems across multiple clouds to ensure business continuity.
Optimal Workload Placement: Enhance performance by strategically distributing your workloads across cloud providers that best match their requirements.
Accelerated Time-to-Market: Faster development and deployment cycles through independent component management.
Scalability: Automatically scale your application up or down to meet demand, in addition to scaling components independently of each other.
Built-in Resiliency: The loose coupling of components means if one microservice is brought down, the application can still continue to run.
Improved productivity: Automate repetitive tasks, such as code generation, to allow developers to focus on more complex features and product innovation.
Increased accuracy: Review software code and flag bugs, leading to improved code quality and reduced downtime.
Seamless AI Integration: Utilize vector capabilities in well-adopted databases to easily deploy AI models into your production environments.
