DoiT CloudFlow automatically rightsizes or migrates workloads, schedules resources, tags assets and transforms FinOps insights into outcomes with full customization and zero engineering effort
DoiT, a global leader in enterprise-grade FinOps and cloud intelligence, announced the release of DoiT CloudFlow, a powerful automation action engine within the DoiT Cloud Intelligence platform. The AI-powered, no-code technology streamlines cloud management by automating actionson FinOps recommendations including rightsizing or migrating workloads, scheduling resources, tagging assets and more. Instead of manually reviewing and executing cost and architecture-optimizing insights, DoiT CloudFlow helps customers easily create workflows that will do the work for them. CloudFlow enables large organizations to clearly define and consistently enforce company policies, proactively preventing governance issues and significantly reducing time spent on remediation.
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According to the 5th Annual State of FinOps survey, the looming priorities for practitioners are cloud governance, optimization and managing increased spending. While a basic FinOps practice provides better cloud visibility, smarter cost management and optimized spending, significant manual effort can be required to continuously implement these recommendations. Users can spend days sifting through recommendations, coordinating across departments and implementing change. This resource requirement results in missed savings and cost inefficiencies, but also threatens an organization’s resourcing for its own development and innovation, with the average developer receiving 10 new alerts per day each averaging a 17-day MTTR (mean time to resolution). Without automation, FinOps and engineering teams struggle to act quickly on insights, limiting their ability to maximize cloud efficiency.
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DoiT CloudFlow enables contextual automation through prebuilt workload blueprints and custom configurations. It lets customers implement best practices, ensure cost optimization and meet compliance with minimal executional demand. FinOps automations can be built for AWS, Kubernetes, Google Cloud and Azure. The solution integrates seamlessly with other DoiT Cloud Intelligence capabilities such as Insights or Real-Time Anomaly Detection to proactively surface and address inefficiencies. And with over 400 integrations, DoiT CloudFlow fosters collaboration with one-touch approvals and a documented history of automated workflow executions to support auditing and compliance.
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As a result, DoiT customers using DoiT CloudFlow can:
- Act on cost insights in real-time, reducing cloud waste.
- Eliminate time-consuming optimization actions through automation.
- Drive reliability, performance and security via repeatable, automated workflows.
- Apply automated tagging and policy enforcement to maintain cloud hygiene.
“The benefits are powerful, but CloudFlow isn’t just about automation, it makes FinOps scalable, proactive and impactful” said Vadim Solovey, CEO at DoiT. “CloudFlow can help teams better control expenses, manage data and improve infrastructure, going beyond cost optimization to drive reliability, performance and security in many ways. And it’s proving particularly useful for enterprise-scale businesses that really need to leverage FinOps in order to get the most from resources.”
With customers seeking every opportunity available to optimize and manage spend, CloudFlow solves a wide range of real-world use cases, including:
- Insight Automation: Automatically aggregates and applies actionable insights to optimize cloud spending effectively.
- Cost Alert Automation: Configures real-time, automated alerts to proactively monitor and manage cloud expenditures.
- Governance Enforcement: Clearly defines and consistently enforces organizational policies to maintain compliance and financial control.
- Commitment Management: Optimizes cloud service commitments, ensuring cost efficiency and improved resource allocation.
- Resource Scheduler: Automatically schedules cloud resources to maximize operational efficiency and eliminate waste.
- Auto Tagging: Applies automated resource tagging for precise tracking, attribution and simplified management.
- FinOps Process Automation: Fully streamlines and automates FinOps workflows, significantly enhancing operational efficiency and reducing manual effort.
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Source – PR Newswire
