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Cloud Backup Plan Strategy

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 - What It is, How to Use & Examples

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.

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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.

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

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.

Sedai BigQuery Optimization

What If Your BigQuery Slots Managed Themselves?

Sedai BigQuery optimization analyzes, right-sizes, and optimizes your reservations and autoscale settings automatically.

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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.

Best Practices for Tagging AWS Resources

Best Practices for Tagging AWS Resources

Learn AWS tagging best practices to improve cost allocation, governance, & automation. Build a tagging strategy that supports accurate optimization & scaling decisions.

The Case Against LLMs in Your CI/CD Pipeline

The Case Against LLMs in Your CI/CD Pipeline

AI agents are replacing traditional CI/CD pipelines, but LLMs don't belong in production decision-making. Here's what safe agentic CI/CD actually requires.

SaaS vs On-Premise Explaine

SaaS vs On-Premise Explained

SaaS vs on-prem explained for modern teams. Compare control, cost, security, customization, and the hidden operational responsibility that remains in both models.