null is a reserved word (keyword) in Java for literal values. It is a literal similar to the true and false. In Java, null is a keyword much like the other keywords public, static or final. It is just a value that shows that the object is referring to nothing. The invention of the word “null” originated to denote the absence of something. For example, the absence of the user, a resource, or anything.
We are going to look at scalability testing in this Blog Post. On paper scalability testing is simple because all you are doing is increasing the load, but there are some common pitfalls that can be easily avoided. So you need to really understand what you are trying to achieve before you start.
Change data capture helps you make faster and more accurate decisions with real-time data movement.
During Shopware Community Unconference 2022, we heard a lot about an internal performance week at Shopware, where they took tie to optimize different parts of the core of the Shopware platform. These were mostly performance problems that also affect our customers. Naturally, we are super excited about them their release in version 6.4.11. In this blog post we will look at one improvement to category navigation loading.
In this post, we will explore how event-driven architecture can make your app more responsive for users and decouple your modules for a better developer experience. We will also look at several methods of implementing event-driven architecture with Elixir. Elixir is particularly good for this because of the advanced and concise message-passing APIs that it offers and BEAM's outstanding support for concurrency. But first: what is event-driven architecture, exactly?
In the fourth blog of our internal platform team series, Zsolt Márta explains how Bitrise uses Terraform Cloud to enable teams to manage resources in a fully self-served way.
It’s no secret that modern data professionals are under immense pressure to deliver more data and insights to more business users, more quickly than ever before. Data is the lifeblood of your business. And frontline business people need personalized, actionable insights to make data-driven decisions. But before these users even touch a self-service Live Analytics platform like ThoughtSpot, the data must be appropriately modeled by analytics engineers.
As companies go all in on the cloud to dominate the decade of data, agility, flexibility, and ease of use are critical to success. That’s why we’re so excited to announce ThoughtSpot’s support for Amazon Redshift Serverless which allows customers to leverage the Modern Analytics Cloud to run and scale analytics on Amazon Redshift without having to provision and manage any data warehouse infrastructure.
