Step by step tutorial around how to create a stock index tracker with time-series charts using an open-source low-code framework, financial APIs, and Google sheets.
The premise that the code that runs inside your infrastructure can be trusted is dangerous - on-premise or in the Cloud. Here are some arguments that support this claim.
Microservices boost the most important but hard-to-measure metric: Developer Confidence. High confidence fuels good mental health, which can have dramatic benefits in the new workplace.
This is the first piece in a series on developing XR applications and experiences using Oracle. Here, explore Spatial, AI/ML, Kubernetes, and OpenTelemetry.
In Spark, there are two common transformations to change the number of tasks; coalesce and repartition. They are very similar but not identical. Let's see how.
There is no RDB in many scenarios, such as encountering CSV/RESTful JSON /MongoDB and other data sources, or performing mixed calculations between these data sources.
Infracost is proving to be a timely solution for companies in relation to the cost-determination dilemma when deploying new resources. Here's how to start.
Although many organizations have implemented a system for data collection and analysis, it's crucial that they can also maintain the integrity of their data.
Learn how to use AWS Lambda versions and aliases by means of a Java example. Create a simple AWS Java Lambda, create versions and use aliases for your environment.
Deploying across multiple clouds, maintaining multiple environments, and ensuring reliable and scalable network policies; we’ll look at how to tackle those challenges.
Does Java Kubernetes Client live up to the promise of being a Java library to operate the Kubernetes cluster by accessing Kubernetes API? Find out here.
In this article, I explore how we can architect an example using products and components from Amazon AWS, Microsoft Azure, Google GCP, MongoDB, and Couchbase.