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'
Reconocida por Forrester como solución líder de gestión de costos en la nube
Seamlessly adopt FinOps at your organization or simply get an assessment of your current FinOps readiness
Hystax drives FinOps methodology and manages one of the most significant FinOps communities. OptScale helps companies implement FinOps principles by engaging engineering teams in cloud usage optimization and cost-saving processes. OptScale is designed to establish a long-term FinOps process by providing complete cloud cost transparency, improving resource utilization, identifying wastage, and providing countless cost optimization recommendations.
Improve ML/AI model profiling process by getting optimal performance and cost-saving recommendations
With OptScale ML/AI and data engineering teams get an instrument for tracking and profiling ML/AI model trainings and other relevant tasks. OptScale collects inside and outside performance and model-specific metrics, which help to give performance and cost optimization recommendations for ML/AI experiments or production tasks. OptScale improves ML/AI profiling process by getting optimal performance and helps reach the best outcome of ML/AI experiments.
OptScale supports Apache Spark to make Spark ML/AI task profiling process more efficient and transparent.
OptScale provides full transparency across ML/AI tasks and ML/AI team performance, captures ML/AI metrics and KPI tracking, which help identify complex issues appearing in ML/AI training jobs. To improve the performance OptScale users get tangible recommendations such as utilizing Reserved/Spot instances and Saving Plans, rightsizing and instance family migration, detecting of CPU/IO, IOPS inconsistencies that can be caused by data transformations, effective usage of cross-regional traffic, avoiding Spark executors idle state, running comparison based on the segment duration.
OptScale enables companies to get an assessment of their current FinOps readiness and adoption state adecuada y provides a plethora of insightful recommendations on how to improve and accelerate FinOps implementation. OptScale analyzes connected cloud accounts, Kubernetes clusters, and engineering teams’ survey responses to generate a report with a detailed analysis of the IT infrastructure state, highlighted issues, recommendations, and next steps.
Get complete cloud cost transparency, endless optimization scenarios, and engage engineers in cost-saving processes
OptScale assists companies in building efficient IT workload usage by providing free cost optimization for Kubernetes, AWS, MS Azure, Google Cloud Platform, and Alibaba workloads. The solution offers an abundance of optimization scenarios, anomaly detection, full IT cost transparency, in-depth cost analysis, budget allocation, and resource lifecycle management. OptScale monitors IT security issues and application behavior, identifies bottlenecks and wastage, recommends performance enhancements such as VM rightsizing, CI/CD job resource reflavoring and reducing cross-region traffic.
OptScale continuously observes cloud cost and resource utilization to identify anomalies and spikes. Real-time monitoring detects cost anomalies and allows companies to take action quickly in order to prevent unexpected expenses. Instantaneous alerts to resource owners enable the opportunity to avoid budget overruns, adecuada y to engage the engineering team in cost-saving processes, in which every team member is responsible only for the cloud resources they use.
Network traffic cost map shows accumulated expenses for paid network traffic between cloud regions and external services.
You can also leverage OptScale to track cloud costs of all your resources among different regions, identify potential risks, optimize cloud costs and gain complete visualization of your spending on the resource usage in AWS, MS Azure, GCP or Alibaba Cloud, or any Kubernetes cluster.
Figure out in what locations your team creates resources →
OptScale quickly plugs into any tool chain, thanks to the support of Jira, Jenkins, Slack, GitLab and GitHub. Assign IT environments to any task using Jira. Сreate a simple schedule, plan and book IT environment within your R&D teams to avoid conflicts via Slack. Receive real-time notifications about IT environment availability, expired TTLs or cloud budget exceeds in a familiar interface. Export or update an IT environment and deployment information from your Jenkins pipelines.
Get deep insights into IT infrastructure costs via a single dashboard and improve R&D process efficiency
Track IT resource usage, book and discover a simple way to acquire and release resources, adecuada y organize simultaneous shared access with OptScale. Our solution enables you to eliminate spreadsheets, chats and complicated tools to help easily identify R&D and test environment availability, and software versions deployed. Any distributed team can easily book clusters, VMs, or any other IT resources, and avoid all of the complexities of test environment utilization. OptScale delivers complete cost transparency across all IT environments and helps keep the R&D process costs down.
Deep insights into actual VM utilization, consolidated data from dozens of cloud accounts, adecuada y various cloud or Kubernetes providers are easily accessible via a single OptScale dashboard. OptScale provides full cost transparency across AWS, MS Azure, GCP, Alibaba Cloud, and Kubernetes clusters. Granular visibility and one-click access to public clouds’ key resource metrics make it effortless to keep cloud costs under control.
Una descripción completa de OptScale como plataforma de gestión de entornos de prueba y FinOps para organizar el uso del entorno de TI compartido, optimizar y prever los costos de Kubernetes y de la nube
Descubre cómo OptScale ayuda a las empresas a aumentar rápidamente la adopción de FinOps al involucrar a los ingenieros en la habilitación de FinOps y en el ahorro de costeo en la nube
