Whitepaper 'FinOps and cost management for Kubernetes'
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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

Software version tracking and IT environment health status

Get a detailed view of all changes during an R&D process across AWS, Microsoft Azure, GCP, Alibaba Cloud, Kubernetes clusters or on-premise infrastructure
Software version tracking and environment health status

OptScale provides QA engineers with quick access to historical deployment data. It allows test teams to streamline the R&D process by simply identifying where each code change was introduced and when software versions were deployed.

Tracking of all software versions across all environments

Software version tracking across all IT environments

Environment health status monitoring

IT environment health status monitoring

Identifying package versions for debugging purposes

Identifying package versions for debugging purposes

1-click access to historical deployment data

1-click access to historical deployment data

Tracking of all software versions

Software version tracking across all IT environments

OptScale is used by engineers to track the details of every software version, which was deployed across any test environment during the R&D process. The solution maintains a complete and verifiable history of changes for six months or more. An R&D team can easily monitor software versions launched on AWS, Microsoft Azure, Alibaba Cloud, Kubernetes clusters or on-premise infrastructure.

Environment health status monitoring

IT environment health status monitoring

With OptScale engineering team members get an opportunity to monitor the status of all applications at each stage of the pipeline. “Red” or “Green” statuses inform a test team if the deployment was successful or failed. OptScale integration with Jira enables the QA team to map every Jira ticket with a certain test environment and stay informed.

Identifying package versions

Identifying package versions for debugging purposes

On a daily basis engineering teams face difficulties in identifying the configuration of a certain package version, when some bugs appear. OptScale tracks every code change and reviews test environment infrastructure, where a software version was launched. These details help QA engineers in analyzing and debugging purposes.

TTLs, live alerts and notifications

1-click access to historical deployment data

For simple auditing OptScale provides QA teams with quick access to all changes, which were introduced into code versions, and all the details about previous versions deployment across all IT environments, including AWS, Microsoft Azure, Alibaba Cloud, Kubernetes clusters or on-premise infrastructure.

Supported platforms

aws
google cloud platform
Alibaba Cloud Logo
Kubernetes

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.