This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. Kafka brokers contained within host groups enable the administrators to more easily add and remove nodes. This creates flexibility to handle real-time data feed volumes as they fluctuate.
Fivetran SAP AppConnect enables enterprises to perform log-based change data capture despite common license restrictions for databases managed by SAP applications.
This article is about mobile security tools and five recommended security tools for building secure mobile apps with automated testing.
It has been months ago when Toloka and ClearML met together to create this joint project. Our goal was to showcase to other ML practitioners how to first gather data and then version and manage data before it is fed to an ML model. We believe that following those best practices will help others build better and more robust AI solutions. If you are curious, have a look at the project we have created together.
Principal Component Analysis (PCA) is one of the most commonly used unsupervised machine learning algorithms across a variety of applications: exploratory data analysis, dimensionality reduction, information compression, data de-noising, and plenty more. In this blog, we will go step-by-step and cover: Before we delve into its inner workings, let’s first get a better understanding of PCA. Imagine we have a 2-dimensional dataset.
Software engineering is an exciting field that offers various roles and responsibilities to individuals. Some prominent roles are developer, quality assurance engineer, project manager, product manager, DevOps, and many more. Each of these roles also has sub-roles. For example, we have front-end, back-end, and full-stack developers in development. In testing, we have manual testing, automation, unit testing, and end-to-end testing.
As a cloud service provider, observability is a critical subject as it's strongly related to the availability of the services running on the platform. We need to understand everything that is happening on our platform to troubleshoot errors as fast as possible and improve performance issues. A year ago, while the platform was still in private beta, we faced a tough reliability issue: users were facing random 500 errors when accessing their applications.
So, you just finished building that application that’s going to change the world, you’ve submitted the Android apk to the Google Play Store and the iOS ipa to the Apple App Store, and you’re awaiting review. But when you check your email, you discover that your iOS app has been rejected. Given the urgency of releasing the app, what do you do now? Well, the good news is that your application was built with Flutter, which is a great tool for creating Progressive Web Apps (PWAs).
Kong has been hard at work to provide our customers’ the best user experience of running our products in the AWS cloud. We’ve seen tremendous growth in our partnership with AWS in terms of joint solutions (co-build), building awareness through events and workshops (co-market), and growth in the adoption of our solutions (co-sell). In fact, Kong has seen exponential growth in our Kong on AWS business year over year.
