We help developers build distributed systems with minimal complexity.
Scale from one to hundreds of services while maintaining high productivity and cost efficiency.
Avoid monolith-first and use a well-designed and scalable structure from the get-go.
Creating a fully asynchronous architecture with no direct communication between services is very challenging.
The price is often paid with a less scalable system and a tighter coupling between services.
Using ntail will de-couple your services while guaranteeing consistency and preventing any compatibility problems between them.
A key aspect of any system is the ability to handle different versions of its dependencies.
ntail makes it easy to evolve your system over time without having to worry about handling breaking changes in the rest of your system.
By requiring the owner of the data to provide simple transformation logic between evolutions, we can always allow any consumer to access the data in any version they can handle.
We take security seriously and implements multiple layers of protection to ensure the safety of your data. We use encryption, role-based access control, and regularly monitor and test our system for vulnerabilities.
Our system is intentionally designed with extreme volumes in mind and seamlessly handle millions of operations per second at sub millisecond latency.
Monitor and explore your data and services with our powerful interfaces. ntail provides a full suite of observability tools to help you understand the health of your system and debug issues.
Implement ntail in your system without having to configure a ton of settings in advance. A developer-centric experience is a key priority for us.
undefinedWhat languages and platforms are supported?
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How large volumes of data can your platform handle?
Can your service be used in industries with strict data privacy requirements like finance or healthcare?
Under the hood ntail Cloud is powered by ntail Streams, an open source streaming platform built on top of distributed cloud-native services comparable with Apache Kafka.
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