Like any supply chain that aspires to be lean and frictionless, data chains need transparency and traceability. There is a need for automated data lineage to understand where data comes from, where does it go, how it is processed and who consumes it. There is also a need for whistle blowers for data quality or data protection and for impact analysis whenever change happens.
Seek, who is one of our customers, came to us with a laundry list of functionality that their developers wanted. Like many enterprises, they have their own developers who are asked to deliver a design for their UX team and they need and environment where they can do that. They didn’t want us to worry about the UI, they just wanted the ability to code what they wanted directly into the Yellowfin dashboard environment, so we created Yellowfin 9 Code Mode which is our developer platform.
For this post, I’ll once again show you a chart that you may or may not be familiar with, as it’s not one of the most common. But, if you know how to use it, you may consider removing all the gauge charts you have in your dashboard. Therefore, let’s talk about the bullet chart.
Most business-critical applications today are powered by APIs, so any downtime or performance degradation can lead to significant loss in revenue, customers, and brand value. This puts pressure on operations teams to monitor real-time API performance and security. Adding to the challenge is the need to support new releases and reduce resolution times. And unfortunately, traditional third-party monitoring tools are little to no help when it comes to API operations.
At Kong, we leverage many tools to protect our services and customers. Terraform from HashiCorp allows us to automate the process with Infrastructure as Code (IaC). Another important tool is Amazon Web Services (AWS) GuardDuty, a continuous monitoring service for security threat detection in your AWS accounts.
Today, we’re thrilled to release Kong Studio 1.0, our spec-first design and development tool for APIs leveraging the power of Insomnia! In this release, you’ll find the ability to design specifications, sync with git, convert your spec into requests for debugging purposes and more.
In this post, you’ll learn how to use ETS as a caching mechanism in your Elixir applications, get familiar with different available options, and be made aware of some things to keep in mind.
Out of the proverbial, box, PHP provides decent performance. However, there are several things that we, as PHP developers and systems administrators, can do to increase its performance even further; sometimes for almost no effort. In this post, I'm going to step through five of those ways. By the time you're finished reading, you should see at least a notable increase in the performance of your PHP application. Let's begin.
Well, let’s be specific here. Birds migrate either north or south. Data warehouses are only going in one direction. Up, to the cloud. It’s a common trend we’re seeing across every vertical and across every region. Companies are moving their existing data warehouses to cloud environments like Amazon Redshift. And more often than not –unlike their feather counterparts– once they migrate to the cloud, they never come back. But why? Simply put, it just makes sense.
