Systems | Development | Analytics | API | Testing

Amazon's Relational Database Service (AWS RDS) is a web-based service launched by Amazon Web Services (AWS) that unifies the setup, operation, and scaling of relational databases in the cloud. By using a dependable and feature-rich ETL (Extract, Transform, Load) tool, you can simplify the process of retrieving, transforming, and sending data from the various systems you already use, like AWS RDS.

Today’s governmental and educational organizations can’t fully use the wealth of data they possess to improve citizen and student outcomes. Government agencies often deal with disparate and siloed data that can impact real-time decision-making. Securely exchanging information and collaborating on data remains an essential task in almost every agency strategy.

A microVM is a lightweight virtual machine. Any function or container workload can run inside of one. It is ideal for running multiple high-performance and secure workloads concurrently on a single machine because it combines the security and isolation of traditional VMs with the resource efficiency of containers. In this blog post, we dive into the world of microVMs, specifically Firecracker microVMs.

When monitoring cloud resources, there are several factors to consider.

With the advent of modern-day cloud infrastructure, many business-critical applications like databases, ERPs, and Marketing applications have all moved to the cloud. With this, most of the business-critical data now resides in the cloud. Now that all the business data resides on the cloud, companies need a data warehouse that can seamlessly store the data from all the different cloud-based applications. This is where Cloud Data Warehouse comes into the picture.

When monitoring cloud resources, there are several factors to consider.

A data lake is the perfect solution for storing and accessing your data, and enabling data analytics at scale - but do you know how to make the most of your AWS data lake? In this week’s blog post, we’re offering 10 data lake best practices that can help you optimize your AWS S3 data lake set-up and data management workflows, decrease time-to-insights, reduce costs, and get the most value from your AWS data lake deployment.

In today's evolving technological landscape, enterprises are under increasing pressure to deliver high-quality software at an accelerated pace. Internal Developer Platforms (IDPs) provide a centralized developer portal that empowers developers with self-service capabilities, standardized development environments, and automation tools to accelerate the software development lifecycle.