Search Results for "java time"

Nacos is an easy-to-use, one-stop solution for dynamic service discovery, configuration and service management that allows you to easily build cloud native applications and microservices platforms. It supports almost all types of services, such as Kubernetes service, Spring Cloud RESTFul service, or Dubbo/gRPC service. Nacos is lightweight, easy to deploy and production-ready, having originated from time-tested internal products from Alibaba Group. It’s highly adaptive to cloud...

Sentinel is a powerful flow control component that ensures the reliability and monitoring of microservices by taking “flow” as the breakthrough point. It covers multiple fields including flow control, concurrency limiting, circuit breaking, and adaptive system protection.

...Using machine learning algorithms, CodeGuru Profiler can help you find your most expensive lines of code and suggest ways you can improve efficiency and remove CPU bottlenecks. CodeGuru Profiler provides different visualizations of profiling data to help you identify what code is running on the CPU, see how much time is consumed, and suggest ways to reduce CPU utilization. Use CodeGuru Profiler to help profile your applications in the cloud from a single, centralized dashboard. CodeGuru Profiler currently supports applications written in all Java virtual machine (JVM) languages and Python.

Seldon Server is a machine learning platform and recommendation engine built on Kubernetes. Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Core focuses purely on deploying a wide range of ML models on Kubernetes, allowing complex runtime serving graphs to be managed in production. Seldon Core is a progression of the goals of the Seldon-Server project but also a more...

Ice provides a birds-eye view of our large and complex cloud landscape from a usage and cost perspective. Cloud resources are dynamically provisioned by dozens of service teams within the organization and any static snapshot of resource allocation has limited value. The ability to trend usage patterns on a global scale, yet decompose them down to a region, availability zone, or service team provides incredible flexibility. Ice allows us to quantify our AWS footprint and to make educated...