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Results for 'Cloud Cost Optimization' 71-80 of 728 results

CloudTrail Pricing Guide: Save On AWS Logging

Dive in for instantly actionable insights on CloudTrail pricing — and tips for controlling and optimizing your AWS logging costs the smarter way.

A Guide To GCP Regions and Zones (And How They Affect Your Costs)

GCP regions and zones are meant to improve resilience, disaster recovery, and performance. Yet, they can also significantly impact your GCP costs. Here's how.

A Guide To Azure Database Pricing (And Reducing Costs)

Confused by Azure database pricing? This guide explains how it works and shares how to optimize costs across SQL, Cosmos DB, PostgreSQL, and beyond.

2026 Cloud Pricing Comparison: An In-Depth Guide

Cloud pricing can make or break your margins. But as your engineers will agree, price tags alone don’t tell the full story. Here’s the whole picture.

11 Cloud Computing Examples You Need To Know

Want to be one of the most profitable and well-known brands around? Here are the best examples of cloud computing models the top tech companies use today.

Deployment strategies explained: types, trade-offs, and what each one actually costs

A complete guide to the 6 core deployment strategies, from blue-green to canary to shadow, including how each one affects your cloud and AI infrastructure spend.

GitHub Copilot cost: what teams actually pay in 2026

GitHub Copilot costs $0 to $100/month for individuals, $19-$39/user/month for teams, but the June 2026 switch to usage-based AI Credits changed what those prices buy. Here is what teams actually pay.

GPT-4 API cost 2026: pricing breakdown and how to estimate it

GPT-4 API pricing starts at $0.10 per 1M input tokens (GPT-4.1 nano) and tops out at $60.00 per 1M output (legacy GPT-4). See the complete 2026 model family breakdown, real cost examples, and the fastest path to cutting your AI spend.

OpenAI API cost calculator: estimate your GPT spend before it estimates you

Interactive OpenAI API pricing calculator, estimate your monthly spend by model, volume, and processing mode. Thinking token modeling for o3/o4-mini. 5 real-world cost scenarios.

AI cost management in 2026: tools, platforms, and how to actually control AI spend

AI cost management means tracking, allocating, and optimizing AI spend. Here are the tools that do it and what to look for in a platform.