Whitepaper 'FinOps and cost management for Kubernetes'
OptScale is fully available as an open source solution under Apache 2.0 on GitHub
Ebook 'From FinOps to proven cloud cost management & optimization strategies'
Recognized by Forrester as a leading cloud cost management solution
Big Data profiling and identifying bottlenecks
Run Big Data tasks with minimal infrastructure cost
Recommendations to optimize performance and infrastructure
Support of various Big Data technologies and programming languages
By integrating with Big Data jobs profiling OptScale gives a deep analysis of inside and outside metrics to identify profiling issues and bottlenecks. Big Data job profiling is a complex process, which depends on a defined hyperparameter set, hardware, or cloud resource usage. After the analysis is complete, the engineering team will be able to identify the bottlenecks to optimize performance and infrastructure.
Infrastructure costs for running Big Data tasks depend on different factors such as the data size, the resources’ geographic location (network traffic between cloud regions could be paid), the complexity of the algorithms and the specific configuration needs in data processing, for example, like for GCP. OptScale is designed to optimize the cloud infrastructure, minimize cloud costs and ensure that resources are used efficiently.
By addressing the bottlenecks in Big Data job profiling process, OptScale helps improve cloud infrastructure for better performance. OptScale highlights the issues and offers clear recommendations to optimize cloud usage. The recommendations include utilizing Reserved/Spot instances and Saving Plans, rightsizing and instance family migration, network traffic optimization, and IOPS inconsistencies that can be caused by data transformations or model code inefficiencies.
OptScale is a solution for engineering teams using different big data technologies (such as Apache Hadoop or Apache Spark) and programming languages, that offers an opportunity to deliver OptScale to a wide range of companies. Moreover OptScale is built as an open-source platform to help businesses of any size improve Big Data job profiling by getting optimal performance and infrastructure costs.
A full description of OptScale as a FinOps and Test Environment Management platform to organize shared IT environment usage, optimize & forecast Kubernetes and cloud costs
