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Enhancing Reliability Using Service-Level Prioritized Load Shedding: Netflix at QCon SF 2025
At QCon San Francisco, Netflix engineers unveiled their advanced Service-Level-Prioritized Load-Shedding strategy, enhancing reliability during traffic spikes. By prioritizing high-value requests and automating management across microservices, they safeguard user experience and system stability. Key insights stress prioritization, automation, and structured load shedding for optimal resilience.
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AWS Launches EC2 Capacity Manager for Centralized, Cross-Account Capacity Optimization
Introducing Amazon EC2 Capacity Manager: AWS's new centralized solution for streamlined monitoring and management of EC2 capacity across all accounts and regions. This innovative tool consolidates data into a unified dashboard, enhancing efficiency while reducing operational complexity.
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Google Compute Engine Future Reservations in Public Preview
Google recently introduced a new future reservation feature in public preview for its Compute Engine, allowing users to request compute capacity for a future date.
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Microsoft Announces Preview of On-Demand Capacity Reservations for Azure Virtual Machines
Recently, Microsoft announced the preview of on-demand capacity reservations for Azure Virtual Machines (VMs). With this new feature for VMs, customers can reserve more compute capacity.
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Improving Capacity Management in Kubernetes Clusters: Q&A with Mohamed Ahmed
InfoQ recently spoke with Mohamed Ahmed, the co-founder and CEO of Magalix, a Kubernetes optimization company, to discuss the critical discipline of capacity management across cloud-native infrastructure and applications.
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Web-Based Monte Carlo Simulation for Agile Estimation
A web-based tool for calculating project estimates using a Monte Carlo simulation was recently made publicly available. It was created in the hopes that agile teams will use it to facilitate conversations between scrum masters and product managers, focusing on realistic outcomes and not overly optimistic projections.
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Forecasting at Twitter
Arun Kejariwal, from Twitter, talked at Velocity Conf London last month about forecasting algorithms used at Twitter to proactively predict system resource needs as well as business metrics such as number of users or tweets. Given the dynamic nature of their data stream, they found that a refined ARIMA model works well once data is cleansed, including removal of outliers.