November 2025 Summaries

Cloud egress costs, often overlooked in favor of compute and storage, represent a significant and growing expense, particularly in regions with high transit costs such as Latin America and parts of Asia-Pacific. By moving compute and caching closer to users through distributed architectures like Azion's Web Platform, companies can achieve substantial reductions in origin egress, often ranging from 60-90%, and improve latency by 30-80%, which in turn leads to significant cost savings. This approach involves using local points of presence, caching strategies, payload compression, and request filtering to reduce the volume of data leaving the origin, thereby lowering monthly cloud bills. A case study of Dafiti, a large Latin American e-commerce platform, illustrates the benefits of such a transformation, demonstrating faster load times, reduced data-transfer costs, and improved user experience. These strategies not only enhance performance but also offer structural economic advantages by shifting workloads to distributed infrastructures, resulting in lower costs and improved scalability.

FinOps programs traditionally focus on cost-reduction strategies like rightsizing and savings plans but often overlook the primary budget drain caused by outbound data and redundant compute processes. A distributed architecture offers a transformative solution by running logic closer to users and serving assets from globally distributed storage, which can significantly reduce egress fees, backend compute, and API call volumes while improving cache hit ratios and latency. By integrating distributed caching, localized compute, and application acceleration, organizations can achieve egress reductions of 30–80% and backend compute reductions of 20–60%, among other benefits. This approach not only cuts costs but also enhances user experience, compliance, and resilience, shifting FinOps from a reactive cost-cutting exercise to a proactive architectural discipline. By adopting a distributed-first FinOps model, businesses can engineer a predictable, lower-cost platform that supports growth and scalability, allowing freed budgets to fund innovation rather than infrastructure expenses.

Traditional cloud storage models, such as S3, GCS, and Azure Blob, often incur high costs due to egress fees associated with data leaving the region, which can lead to unpredictable billing and significant expenses for global data delivery. Distributed Object Storage offers a solution by keeping data and computational resources closer to users, significantly reducing egress costs, origin offloads, and cross-region transfers, while also providing more predictable billing. Enterprises can experience substantial savings and performance improvements, as demonstrated by Marisa, a Brazilian retail chain that leveraged distributed storage to reduce latency and infrastructure costs, leading to increased sales and enhanced user experience. The shift to distributed architectures not only minimizes data movement costs but also increases efficiency by processing data locally, eliminating the need for replication pipelines, and reducing the overall complexity of cloud storage and compute infrastructure. This paradigm shift, which integrates storage, delivery, caching, and processing into a cohesive platform, presents a compelling case for businesses to reconsider their data topology, especially those with global operations and high data transfer volumes.

Millions of Latin Americans face significant digital access challenges, despite widespread internet coverage, due to centralized data processing that routes traffic through distant data centers, typically in the United States. This model leads to high latency and unreliable service, hindering the use of modern digital services such as online education, telemedicine, and e-commerce. The text argues for a shift towards decentralized infrastructure, which processes data closer to users via distributed nodes, significantly reducing latency and enhancing user experience. This approach not only lowers costs and increases resilience but also ensures compliance with local privacy laws. The document highlights the role of internet exchange points (IXPs) and public-private partnerships in facilitating this transition, emphasizing that governments should create conducive environments rather than competing with private sectors. Additionally, it underscores the importance of government digitalization in driving infrastructure investment and improving connectivity. The article concludes that a move to decentralized infrastructure is essential for bridging the digital divide in Latin America, fostering inclusive growth, and unlocking the region's potential for innovation and prosperity.