INSIGHTS
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CASE STUDY
Atlassian
ENTERPRISE ATLASSIAN MIGRATION
A large Media & Entertainment client would save a lot of money if it consolidated all its Atlassian environments into a single Enterprise license. See how STAND 8 came in to help eliminate risk while saving the organization money and time.
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CASE STUDY
AWS
AWS Automation Uncovers Massive ROI & Security Intelligence Assets
Enterprise AWS cloud deployments are vulnerable to excessive cost overruns if not carefully managed. This is easier to do when only a handful of them are managed from one office, but when there are 100s or 1000s used by business lines in a multi-national company, it is almost impossible. AWS admins can lose visibility of under-utilized environments.
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CASE STUDY
Wireless Telecom
Transformation of Southern California's 5G Wireless Network
When one of the largest 5G providers needed a partner to support a truly innovative approach, it turned to STAND 8 for a roof-top deployment.
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CASE STUDY
Digital Engineering
Microservices Help Media Giant Expand Distribution Not Overhead
The process for configuring, assembling, and rendering high-quality short- and long-form video is one of today's most complex and demanding computing tasks. Ad-revenue-based serialized content, movies and documentaries each come with their own set of playback configurations. Add multi-lingual audio tracks, subtitles, internal edit marks and advertising insertion to the demand for dozens or hundreds of such projects at a time, and the business case gets shaky.
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CASE STUDY
Kubernetes
Global Distributor Improves Containerization with Kubernetes
To bring massive cost savings, a multi-national conglomerate must consolidate hundreds of applications into a new container system. The business advantages -- cost and overhead factors – are vulnerable to poorly configured management. Significant downtime can put the business at risk. Security applications protecting critical business assets will not perform as needed.
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CASE STUDY
Data & AI
DATA LAKE DEPLOYMENT & MANAGEMENT FROM STAND 8 POWERS PREDICTIVE BUSINESS
Accurately predicting consumer preference 10 weeks prior to a major product launch is hard enough but failing to factor in very recent behavior from new data sources makes it impossible. Competitive advantage posed by new segmentation profiles was at risk. Our client could not afford to wait the months it would take to include new and exciting consumer data.
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