Category: AWS

Cloud Red Teaming – Simulating Attacks with Open-Source Tools

What if your cloud environment isn’t as secure as you think? As businesses rush to the cloud, attackers follow exploiting misconfigurations, weak access controls, and hidden vulnerabilities. Cloud red teaming flips the script, letting you simulate real-world attacks before hackers do. But how? With open-source tools, you can safely test defenses, uncover gaps, and stay ahead. 

Ready to see if your cloud can withstand the storm? Let’s dive in. 

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Understanding AWS Cost and Usage Reports (CUR)

Introduction 

Understanding cloud spending can be overwhelming without the right tools. Common questions like “Where is my money going?” and “Which AWS services are driving my cloud costs?” can be hard to answer without clear visibility.

That’s where the AWS Cost and Usage Report (CUR) comes in.

With CUR, businesses gain granular insights into AWS billing, helping them break down expenses by service, resource, or account. Without such a tool, gaining transparency into your cloud spend is not only difficult—but often inaccurate and time-consuming.

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How to Reduce AWS Data Transfer Costs: A CFO’s Guide to Cloud Savings

If you’re using AWS, you may have noticed data transfer fees being added to your expenses. These costs are often included in your cost and usage reports, but don’t be fooled, if they’re not monitored they can quickly add up and become a significant contributor to your AWS bills.

Many organizations may face unexpectedly high data transfer charges, which reach up to lakhs of rupees per year. To get a handle on these costs and potentially reduce them, it’s essential to get a clear picture of your data transfer costs and identify which resources are driving them.

This blog explores a practical scenario that sheds light on AWS data transfer pricing, highlighting the typical challenges teams encounter and offering actionable strategies to help you optimize your cloud expenditures and effectively manage AWS costs.

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Load Testing using AWS Distributed System – Part 1

In today’s fast-paced world, ensuring your application and business can handle growing users is very important. Whether you are building a Mobile application, Web application, or REST API it is important to understand how our system performs under pressure. Load testing is one of the ways we identify the bottlenecks, performance issues, and potential feature failures before the end user identifies it. 

While consulting for an Edtech platform they highlighted an issue of having a dynamic and distributed load testing environment that can scale itself if we want to generate more load to the system and once the goal is achieved it should incur minimal cost to the organization since we are not leveraging a static provisioned environment. 

AWS Distributed load testing system is a powerful automated setup provided by AWS that can be installed in our AWS cloud environment. This setup helps developers and testers generate real-world traffic at scale and test how well the system handles it. In this blog, we will talk about how the AWS Distributed Load Testing system works and how it can be leveraged to improve the reliability and performance of the system. 

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