Digital transformation is not just about technological transformation of the organization, it’s about transforming the culture of an organization. It’s not enough to bolt technology onto an existing strategy and consider it transformed. That’s the message from our Chief Marketing Officer Mick Hollison discussing digital transformation with Charlene Li at Cloudera Now.
However, the complexity and volume of data every business accumulates is a common challenge for those that need to make decisions. Data is a continuous and always growing consideration, and it can be particularly challenging for larger enterprises.
Deep in the implementation of every automated UI test lives the potential to turn something simple into something slow and unreliable—simply by adding extra Selenium commands. The data clearly show that longer tests are less likely to pass. In this case study, I will show you how to optimize a test and make it 560% faster. We will do this by tackling inefficient use of Selenium commands.
We missed it, again. But, could we have seen it, even with advancements in data analytics? Many people have referred to COVID-19 as an unexpected black swan event, after Nassim Taleb's famous book, which I’m rereadinging as I write this post. A black swan is an unpredictable event that is beyond what is normally expected of a situation and has potentially severe consequences.
Automated data integration can help you jumpstart your machine learning efforts. Learn about the modern data science stack. It’s an oft-cited factoid that data scientists spend only 20% of their time doing actual data science work, while the rest of their time is spent on doing what is often delightfully referred to as “data munging” — that is, obtaining, cleaning, and preparing data for analysis.
Apache JMeter is a Java open source tool. If you want to run load or performance tests using Apache JMeter, you can use their Graphic User Interface (GUI) and you don’t need to know any programming language, follow the JMeter documentation and you are ready to go to design your API testing scenarios.
Today, we’re excited to announce a new research project we’ve been kicking around at Kong: Kong Embedded! If you’ve used the Kong Gateway before or heard us talk about it, one of the things we’re very proud of is that Kong Gateway uses a very small resource footprint. It’s a small download in size, is blazingly fast on even constrained hardware, and uses very little memory.
We are proud today to announce the future of service connectivity – Kong Konnect! Kong Konnect is the only full stack connectivity platform that is designed from the ground up for the cloud native era, delivered as a service. It accelerates the journey to microservices, secures and governs APIs and services, and it allows developers to rapidly design, publish and consume APIs and services. Konnect was built from the ground up with the unique needs of developers, architects and operators in mind.
About two and a half years ago, Kong first announced our Kubernetes Ingress Controller. We were stepping up to invest in the Kubernetes community by building a full-featured API gateway that operated in a Kubernetes-native way. Since then, we – as well as the rest of the broader Kubernetes ecosystem – have hit a number of additional milestones. Our Ingress Controller has run in tens of thousands of Kubernetes clusters, and we’ve continued to expand its functionality and stability.
