In this tutorial, we will look into how to integrate performance testing with k6 in your TeamCity build setup. k6 is a free and open-source performance testing tool for testing the performance of APIs, microservices and websites. TeamCity is a continuous integration and delivery server built by JetBrains.
When building businesses it’s of paramount importance to measure what’s working and what’s not. This is especially true for companies that are API-first. Moesif API Analytics allows merging the business and technical perspectives, so as to present a complete picture of the operating environment.
In today’s post, we’ll learn what gRPC is, when you should reach for such a tool, and some of the pros and cons of using it. After going over an introduction of gRPC, we’ll dive right into a sample application where we’ll build an Elixir backend API powered by gRPC. Let’s jump right in!
“All code and no logging makes John a black box error-prone system.” Logging is a key aspect of monitoring, troubleshooting and debugging your code. Not only does it make your project’s underlying execution more transparent and intelligible, but also more accessible in its approach. In a company or a community setting, intelligent logging practices can help everyone to be on the same page about the status and the progress of the project.
Apache Ozone is a distributed object store built on top of Hadoop Distributed Data Store service. It can manage billions of small and large files that are difficult to handle by other distributed file systems. Ozone supports rich APIs such as Amazon S3, Kubernetes CSI as well as native Hadoop File System APIs.
A test framework is a set of guidelines which can be followed to create test cases and related processes. These guidelines can be about coding practices, storage and retrieval of test data and test results, interaction with external resources and many other things. A test framework usually contains internal libraries and reusable code modules which provide a foundation for test automation and can be leveraged to build test automation systems for different types of applications.
When I’m writing new software, one of the most important thoughts in my mind is how I’ll test to make sure it works. There are lots of ways to test software, and when you’re at your best, you should be using all of them. Sure, you should make sure that your QA team is able to verify that your code works before it goes live. You should make sure that the code passes acceptance tests, too.
The more time I spend working with data, and watching how our customers work with data, the more convinced I am of two things: 1) the power to do extraordinary things is embedded within data and 2) all of us working or dealing with data have a role to play in using our knowhow and technology to apply data to benefit humanity and tackle some of the biggest challenges of our lifetime – the environment, equality, education, health and safety.
In 2019, Google has rolled out lots of updates out of which March 2019 Core Update, June Core Update, September Search Reviews update, and BERT were the major ones. BERT update was intended to better understand long-tail and conversational search queries while June Core Update impacted the websites that failed to implement E-A-T (Expertise, Authority, and Trust) Guidelines. On September 16, 2019, Google released a new algorithmic update to review (crawl and index) review snippets/search results.
