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Media, entertainment, and broadcasting companies push cloud computing to its absolute limits. The production of high-definition VFX (visual effects), 3D animation, and video rendering requires staggering amounts of compute power, often distributed across thousands of virtual machines in short, intense bursts.
Following production, delivering this content globally via streaming platforms incurs massive data egress fees and Content Delivery Network (CDN) costs.
The primary challenge is that creative teams and producers are focused on deadlines and output quality, not infrastructure efficiency.
Rendering jobs are frequently left running longer than necessary, and expensive on-demand instances are used when cheaper, interruptible "Spot Instances" would suffice.
Without automated oversight, the cloud bill for a single feature film or streaming event can easily erase profit margins.
Wiv.ai provides the Media & Entertainment industry with the specialized FinOps tools required to manage hyper-scale compute workloads.
The platform excels at automating the management of Spot Instances—cloud computing capacity available at steep discounts but subject to immediate interruption.
Wiv.ai workflows can be configured to automatically shift rendering jobs to Spot Instances, and seamlessly move them back to on-demand instances if capacity drops, ensuring rendering finishes on time at a fraction of the cost.
Wiv.ai monitors data transfer and egress costs in real-time. If a specific streaming asset or geographical region experiences an unexpected spike in bandwidth costs, Wiv.ai instantly alerts the network team to optimize CDN routing, preventing end-of-month billing shocks.
Force non-critical video rendering and batch processing jobs to utilize discounted Spot capacity, automating fallback if interrupted.
Instantly detect and alert engineering teams to unusual spikes in outbound data transfer costs from streaming servers to the public internet.
Automatically aggregate all storage and compute costs across multiple accounts and tag them to a specific film, show, or creative project.
Automatically transition massive uncompressed video files (RAW media) to deep archive storage immediately after post-production concludes.
Media companies can reduce VFX rendering costs by shifting suitable workloads to discounted Spot Instances and automatically moving jobs back to on-demand capacity when needed, lowering compute spend without disrupting production schedules.
Wiv.ai’s automation engine builds workflows that automatically scale up learning management systems before finals and scale them back down during summer breaks, aligning cloud costs with the academic calendar.
Streaming platforms can reduce data egress costs by monitoring bandwidth usage in real time, detecting unusual cost spikes, and adjusting CDN routing before unexpected traffic leads to excessive cloud charges.
See how Wiv.ai helps media and entertainment companies optimize rendering and streaming cloud costs.
