Whitepaper 'FinOps and cost management for Kubernetes'
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Ebook 'From FinOps to proven cloud cost management & optimization strategies'
OptScale — FinOps
FinOps overview
Cost optimization:
AWS
MS Azure
Google Cloud
Alibaba Cloud
Kubernetes
OptScale — MLOps
ML/AI Profiling
ML/AI Optimization
Big Data Profiling
OPTSCALE PRICING
Acura — Cloud migration
Overview
Database replatforming
Migration to:
AWS
MS Azure
Google Cloud
Alibaba Cloud
VMWare
OpenStack
KVM
Public Cloud
Migration from:
On-premise
Acura — DR & cloud backup
Overview
Migration to:
AWS
MS Azure
Google Cloud
Alibaba Cloud
VMWare
OpenStack
KVM
Whitepapers

Hystax OptScale - MLOps open source platform

OptScale is an MLOps open source platform
OptScale MLOps and FinOps schema

OptScale MLOps capabilities

Runsets to automatically scale a number of experiments

  • Automated run of a number of experiments with configurable datasets, hyperparameter ranges, and model versions
  • Optimal hardware with cost-efficient usage of Spot, Reserved Instances / Savings Plans
  • Configurable experiment goals and success criteria
  • Various complete/abort conditions – take first successful, complete all
  • Integrated profiling to identify bottlenecks

Team and individual ML engineer progress/status observability

  • List of models with goals status and active recommendations
  • Tracking the number and quality of experiments run by a team
  • Cost of an overall model and individual experiments
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google cloud platform
Alibaba Cloud Logo
Kubernetes
kubeflow
TensorFlow
spark-apache

Supported platforms

ML/AI task profiling and optimization, bottleneck identification

  • ML/AI model training tracking and profiling, inside and outside metrics collection
  • CPU/RAM/GPU/Disk IO correlation tracking
  • Minimal cloud cost for ML/AI experiments and development by utilizing Reserved Instances/Savings Plans and dozens of optimization scenarios

ML/AI optimization recommendations

  • Utilizing Reserved/Spot Instances and Savings Plans
  • Rightsizing and instance family migration
  • Detecting CPU, GPU, RAM, and IO bottlenecks
  • Cross-regional traffic
  • Experiment/run comparison

PaaS or any external service instrumentation

  • Cost, performance, and output details of any API call to PaaS or an external service
  • Metrics tracking and visualization
  • Performance and cost optimization of API calls
  • Cross-regional traffic
  • S3, Redshift, BigQuery – ready, unified way to add more services
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Contacts

Email: [email protected]
Phone: +1 628 251 1280
Address: 1250 Borregas Avenue Sunnyvale, CA 94089

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