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

Microsoft Azure cost management with FinOps adoption

It’s time to make your cloud environment transparent and cost-effective
MS Azure cost management and FinOps adoption
MS Azure cloud cost visibility

Cloud cost visibility

MS Azure cloud cost optimization

Cost anomaly detection

MS Azure manage saving plans

Manage Microsoft Azure saving plans

Reduce storage costs

OptScale for Microsoft Azure cost management and FinOps

OptScale offers a disruptive way to adopt FinOps principles, manage MS Azure cost management and optimization, and engage engineers in cost-saving processes. OptScale provides a robust set of capabilities to monitor cloud utilization and implement cloud cost allocation strategies. The solution minimizes MS Azure cloud spending and over-provisioning and provides full cloud budget transparency.

Microsoft Azure cloud cost visibility

OptScale is focused on getting new services sprinting and attaining clear visibility into cloud spending, managing your resources proactively. Our solution provides detailed insights to properly budget for cloud usage and ties cloud infrastructure spending to business outcomes. It helps simplify MS Azure cost management.

MS-Azure-cloud-cost-visibility
MS Azure cloud cost optimization

MS Azure cost optimization

OptScale analyzes customer cloud usage and offers hundreds of insightful optimization recommendations, from VM rightsizing to PaaS services and abandoned buckets.

OptScale assists customers with utilizing and consuming cloud services with zero loss. It improves the return on your cloud investment, enabling continuous cost optimization, analyzing the actual consumption of services, and improving MS Azure cost management.

Get a smart solution for full cloud transparency and
reduce MS Azure cost

Cost anomaly detection

Azure cost anomaly detection leverages the opportunity to continuously observe resource utilization and cloud cost to identify anomalous spending. Moreover, OptScale helps to highlight the root causes enabling your engineering team to respond quickly to prevent budget overruns.

cost anomaly detection
MS-Azure-managing-saving-plans

Simplify your Microsoft Azure​ saving plans management

OptScale offers a solution that helps you reduce your cloud computing costs. It also simplifies the MS Azure cost management processes and enables you to reduce your cost of deploying resources on Microsoft Azure.

Reducing storage costs

OptScale helps overcome the challenge of controlling MS Azure spending. It allows users to take corrective action from trend reports before getting hit with an unexpected bill. It also helps to identify over-provisioned resources.

MS-Azure-reducing-storage-costs

News & Reports

FinOps and MLOps

A full description of OptScale as a FinOps and MLOps open source platform to optimize cloud workload performance and infrastructure cost. Cloud cost optimization, VM rightsizing, PaaS instrumentation, S3 duplicate finder, RI/SP usage, anomaly detection, + AI developer tools for optimal cloud utilization.

FinOps, cloud cost optimization and security

Discover our best practices: 

  • How to release Elastic IPs on Amazon EC2
  • Detect incorrectly stopped MS Azure VMs
  • Reduce your AWS bill by eliminating orphaned and unused disk snapshots
  • And much more deep insights

FinOps and cloud cost optimization for ML/AI workloads

Join our live demo on 27th 
March and discover how OptScale allows running ML/AI or any type of workload with optimal performance and infrastructure cost.