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This post was co-written by Andrew Alaniz , Technical Information Security Officer, and Brady Pratt, Cloud Security Enginner, both at BBVA USA. Introduction Data Loss Prevention (DLP) is a common topic among companies that work with any type of sensitive data. One of the challenges is that many people either don’t fully understand what DLP is, or rather, have their own definition of what it is. Regardless of one’s interpretation of DLP, one thing is certain: before you can control data loss, you need to locate find the data sources. If an organization can’t identify its data, it can’t protect it. BBVA USA, a bankRead More →

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This post was co-written with Lucas Ceballos, CTO of Smadex Introduction Showing ads may seem to be a simple task, but it’s not. Showing the right ad to the right user is an incredibly complex challenge that involves multiple disciplines such as artificial intelligence, data science, and software engineering. Doing it one million times per second with a 100-ms constraint is even harder. In the ad-tech business, speed and infrastructure costs are the keys to success. The less the final user waits for an ad, the higher the probability of that user clicking on the ad. Doing that while keeping infrastructure costs under control isRead More →

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In previous blog posts in this messaging series, we provided an overview of messaging and we also explained the common characteristics to consider when  evaluating messaging channel technologies. In this post, we will explain some of the semantics of queue-based processing, its use in designing flexible systems, and how to apply it to your use cases. AWS offers two queue-based services: Amazon Simple Queue Service (SQS) and Amazon MQ. We will focus on SQS in this blog. Building Blocks In the digital world, even the most basic design of web based systems requires the use of queues to integrate applications. SQS is a secure, serverless,Read More →