A modern API gateway like Kong enables organizations to achieve some use cases much more easily than traditional gateways. The reason is older, traditional gateways try to provide as many features as possible into a heavyweight monolith, while modern solutions use a best-in-breed approach. These traditional solutions not only try to be a gateway, but they also try to be a business intelligence system, a central logging hub, a monitoring tool and so much more.
In today’s post, we will be looking into a software design pattern called Facade. When I first adopted it, it felt a little bit awkward, but the more I used it in my Rails apps, the more I started to appreciate its usefulness. More importantly, it allowed me to test my code more thoroughly, to clean out my controllers, to reduce the logic within my views and to make me think more clearly about an application’s code’s overall structure.
If software's been eating the world for the past twenty years, it's safe to say machine learning has been eating it for the past five. But what exactly is machine learning? Why should a web developer care? This article by Julie Kent answers these questions. I don't have kids yet, but when I do, I want them to learn two things: Whether or not you believe that the singularity is near, there's no denying that the world runs on data.
Rostyslav Kosmirak is a .NET developer from Ivano-Frankivsk, Ukraine using Rider and Visual Studio IDE. Kosmirak was not looking for a Dynamic Code Profiler when he came across Prefix. Kosmirak explains that initially he was searching through Google for a log management system when he stumbled on Prefix. Upon downloading, Kosmirak discovered hidden performance problems in his code before they manifested to actual performance problems.
Time Series as Fast Analytics on Fast Data Since the open-source introduction of Apache Kudu in 2015, it has billed itself as storage for fast analytics on fast data. This general mission encompasses many different workloads, but one of the fastest-growing use cases is that of time-series analytics. Time series has several key requirements: At first glance, it sounds like these requirements would demand a special-purpose database system built specifically for time series.
The telecommunications industry is in the midst of a fundamental reinvention and transformation. Faced with a range of emerging pressures – including consolidation, a changing competitive landscape, and commoditization of traditional services – communication service providers (CSPs) are seeking new revenue streams and novel business approaches.
The low code, no code paradigm is an evolution in development environments. Historically, if you wanted to build a product, you went to a developer and they started from scratch building the product from the first line of code. But now people with little or no coding experience can build simple applications themselves.
Hadoop ecosystem now serves as a comfortable home to Big Data now, and the Hadoop data stores now have a greater acceptance across the world by programmers, developers, data scientists, and database management experts. These ecosystems are as convenient as the data storages; however, the inherent reporting system of Hadoop poses a few challenges for the users to overcome.
Introduction Once upon a time documentation was one of the most important aspects of Quality Assurance and this was not limited to the functional test efforts but the non-functional testing as well. We spent days, weeks, months even creating Performance Test Strategies, Approaches, Plans, Test Case, Completion Reports etc. Most of these documents were required before any automation could be written and before a sensible performance testing framework could be considered.
