Systems | Development | Analytics | API | Testing

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How to Test Autoscaling in Kubernetes

In an ideal world, you want to have precisely the capacity to manage the requests of your users, from peak periods to off-peak hours. If you need three servers to attend to all the requests at peak periods and just one server at off-peak hours, running three servers all the time is going to drive up expenses, and running just one server all the time is going to mean that during peak periods, your systems will be overwhelmed and some clients will be denied service.

API-first development and the case for API mocking

One morning, you realize you have a great idea for an API. You discuss it with your team, then start building out the business case and technical requirements. Where do you go from there? You could write out the business requirements for the API and then code it. Or you could describe your API in a specification language, like OpenAPI, and use that definition to improve your team's understanding of the API and do some early testing. But are either of these the best solution?

Account Locking in WSO2 Identity Server #Identityin15

In this episode, we will be discussing all about account locking in the WSO2 Identity Server. There are two main types of Account Locking in the IS which are Admin-Initiated Account Locking and Account Locking due to Failed Login Attempts. In this session we will be discussing these types in depth and how you can enforce them.

How The London Stock Exchange Group Built Their Corporate Data Cloud With Snowflake

The London Stock Exchange Group (LSEG) is a UK-based stock exchange and financial information company, supporting high-profile customers with a wide range of services across trading, analytics, and technology. In a recent fireside chat with LSEG at Data for Breakfast London, we spoke to Andrew Carruthers, the company’s Director of Corporate Data Exchange. During the conversation, we discussed how his team built a credible proof of concept that formed the basis of the organization’s new corporate data cloud, powered by the Snowflake Data Cloud.

DoorDash's VP of Analytics & Data Science, Jessica Lachs on Leveraging Data to Delight Customers

Who’s hungry? Thanks to delivery apps like DoorDash, it’s never been easier for modern consumers to satisfy almost any craving in just a few taps. At the helm of DoorDash’s data organization is VP of Analytics & Data Science, Jessica Lachs. With metrics guiding every decision at the company, a key part of her decision-making comes down to properly quantifying the value of each possible tradeoff. Learn more about her decision-making framework, plus how her career in finance evolved into entrepreneurship and ultimately led her to create the data and analytics organization at DoorDash.