Sedai Blog

Cloud Backup Plan Strategy

Build a resilient cloud backup strategy with proven steps to protect your data, cut costs, and ensure fast recovery at any scale.

Kubernetes ConfigMap Usage, Examples, and the Production Drift Problem

Learn what Kubernetes ConfigMaps are, how to use them, and explore real-world examples to manage app configs efficiently in your clusters.

Sedai + Archera: How We're Closing the Gaps in Your Cloud Budget

Sedai and Archera are partnering to optimize the entire cloud cost lifecycle, from insurance-backed commitments to the configuration of individual cloud resources.

Using Amazon ECS Spot, Savings Plan and Reserved Instances to Optimize Costs

Discover 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.

Understanding Amazon ECS

In this post we'll take a look at ECS vs other Amazon Compute models and some key concepts in Amazon ECS.

High Availability for Cloud-Based Applications: Concepts & Best Practices

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.

FinOps & Engineering Both Want to Lower BigQuery Costs. So Why Hasn't Anyone?

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.

Using Scheduled Shutdowns to Optimize Amazon ECS Development Costs

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.

Why Your Well-Governed Infrastructure is Still Wasting 30% of Your Cloud Budget (And How We’re Working with Spectro Cloud to Fix It)

Sedai and Spectro Cloud are the ultimate combination for Kubernetes optimization and management.