Tag: Danilo Poccia

Amazon Managed Streaming for Apache Kafka (Amazon MSK) provides a fully managed and highly available Apache Kafka service simplifying the way you process streaming data. When using Apache Kafka, a common architectural pattern is to replicate data from one cluster to another. Cross-cluster replication is often used to implement business continuity and disaster recovery plans and increase application resilience across AWS Regions. Another use case, when building multi-Region applications, is to have copies of streaming data in multiple geographies stored closer to end consumers for lower latency access. You might also need to aggregate data from multiple clusters into one centralized cluster for analytics. To address these needs, you would have to write custom code or install and manage open-source…

While daylight is getting shorter in the Northern hemisphere, we’ve got two new EC2 instance types optimized for compute and memory and many new capabilities for other services. Last week there was also the EMEA AWS Heroes Summit in Munich, an amazing day full of insights and passion. Here’s a nice picture of the participants! Last Week’s Launches Here are some of the launches that caught my attention last week: C7i Instances – Powered by custom 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) and available only on AWS, these compute-optimized instances offer up to 15 percent better performance over comparable x86-based Intel processors used by other cloud providers. A great choice for all compute-intensive workloads, such as batch…

As organizations grow, the records that contain information about customers, businesses, or products tend to be increasingly fragmented and siloed across applications, channels, and data stores. Because information can be gathered in different ways, there is also the issue of different but equivalent data, such as for street addresses (“5th Avenue” and “5th Ave”). As a consequence, it’s not easy to link related records together to create a unified view and gain better insights. For example, companies want to run advertising campaigns to reach consumers across multiple applications and channels with personalized messaging. Companies often have to deal with disparate data records that contain incomplete or conflicting information, creating a difficult matching process. In the retail industry, companies have to…

In the few months since Amazon CodeWhisperer became generally available, many customers have used it to simplify and streamline the way they develop software. CodeWhisperer uses generative AI powered by a foundational model to understand the semantics and context of your code and provide relevant and useful suggestions. It can help build applications faster and more securely, and it can help at different levels, from small suggestions to writing full functions and unit tests that help decompose a complex problem into simpler tasks. Imagine you want to improve your code test coverage or implement a fine-grained authorization model for your application. As you begin writing your code, CodeWhisperer is there, working alongside you. It understands your comments and existing code, providing…