EC2 GPU Instances
EC2 GPU instances have been hugely popular due to advances in machine learning, gaming, etc. However, it can be difficult to know which to choose.
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Intel vs AMD vs Graviton: Amazon EC2 Processor Differences and Distribution
As Graviton and AMD processors gain broader EC2 availability alongside Intel, we analyze factors such as performance, cost, and distribution.
FinOps as Code: Automating and Visualizing Unit Economics
Use FinOps as Code to create an automated pipeline and view business metrics along with cloud cost data.
Claude vs OpenAI: Pricing Considerations
Claude is outranking OpenAI's GPT models in several benchmarks—see how it compares with regards to pricing.
LLRT and JavaScript Runtimes on AWS Lambda
LLRT is AWS’s new experimental JavaScript runtime that claims to have 10x faster startups and 2x overall lower costs on Lambda.
Datadog Tagging and Usage Attribution
Organizations can use usage attribution in Datadog to gain granular visibility into their spending and identify areas for optimization.
Amazon Aurora vs Neon: A Serverless Postgres Pricing Comparison
Aurora and Neon both announced significant pricing changes this year. We compared the two and found Neon's ability to scale to zero makes it the cost-effective choice for use cases with idle time.
Why Your S3 Bill Jumped After You Started Doing Data Engineering
Distributed SQL query engines can increase your Amazon S3 requests, thereby increasing your bill. Modern solutions like Apache Iceberg and caching help lower costs.
FinOps as Code: Using Terraform to Build a Cost Reporting Structure
Create your entire cost reporting structure inside Vantage—in seconds—with Terraform.
Google Gemini vs Azure OpenAI GPT: Pricing Considerations
With the introduction of Gemini and its competitive pricing structure and groundbreaking 1M token context window, Google is emerging as a strong contender in the AI landscape.