
Tokenmaxxing Is Ending. The Era of AI Tokenomics Has Begun
Token consumption was never the right metric. Here's why enterprise AI budgets are exploding and what to measure instead.
Sedai now optimizes AI agents!
Read the newsDiscover AWS pricing models for ECS in this guide, covering On-Demand, Reserved Instances, Savings Plans, and Spot Instances. Learn how On-Demand instances offer a flexible pay-as-you-go model for fluctuating workloads, and explore the long-term discounts available with Reserved Instances and Savings Plans for predictable usage. Delve into Spot Instances, which provide steep discounts for fault-tolerant or stateless applications. This article also explains how to optimize costs and ensure availability by mixing On-Demand and Spot capacities, with a focus on ECS’s capabilities in automating Spot Instance lifecycle management and integrating with AWS Auto Scaling Groups. Perfect for optimizing your AWS spending strategy.
In this post we'll take a look at ECS vs other Amazon Compute models and some key concepts in Amazon ECS.
Learn the basic concepts of high availability for cloud-based applications, including redundancy, monitoring, failover strategies, and best practices to minimize downtime and boost performance.
If your team is using BigQuery at scale, there's a good chance your FinOps and engineering teams are both trying to lower the bill, but neither are succeeding. This is why.
Sedai BigQuery optimization analyzes, right-sizes, and optimizes your reservations and autoscale settings automatically.
Keeping Amazon ECS development & testing environments workloads running when they're not actively used can lead to considerable expenses for teams.Implementing scheduled shutdowns of Amazon ECS cloud resources when not in use can lead to cloud cost savings with relatively little implementation effort.Four ways to achieve shutdowns for Amazon ECS include (1) manual shutdowns, (2) Lambda functions, (3) Cloudwatch templates and (4) schedules inside a platform such as Sedai.
Sedai and Spectro Cloud are the ultimate combination for Kubernetes optimization and management.
See what drives AWS EMR costs and apply key strategies like right-sizing, spot nodes and auto-scaling to slash your cluster spend.
Learn AWS tagging best practices to improve cost allocation, governance, & automation. Build a tagging strategy that supports accurate optimization & scaling decisions.