Visual Testing using Percy with Selenium | Java
Welcome to another video of visual testing using Percy. In this video, we explore: Watch as we demonstrate how to leverage Percy for visual testing using Java and Selenium.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
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Track Errors in Your Python Django Application with AppSignal
In this post, we will specifically look at using AppSignal to track errors in a Django application. We'll first create a Django project, install AppSignal, introduce some faulty code, and then use the AppSignal Errors dashboard to debug and resolve errors. Let's get started!
Announcing Insomnia's New Storage Control To Mandate Local-Only, Cloud, or Git Storage for APIs in the Organization
Today we’re excited to announce that Kong Insomnia has shipped Storage Control, a new enterprise capability that allows administrators in an Insomnia organization to mandate what type of backend storage developers are allowed to use when creating API assets like API collections, API specifications, environments configuration, authentications data, and more.
Communicating the Value of Testing Internally
Get ready to debunk testing myths with Ross Radford in the latest 'Test Case Scenario' episode! Ross, Director of Software Engineering at BarSign, joins Jason, Nikolay, Marcus, and Evelyn, as they banter about the roles of testing in professional workflow and management, how to communicate the importance of testing to leadership, and the question of speed versus thorough testing. We even get a sneak peek into an upcoming must-read, 'Software Testing for Managers,' by Ross himself!
Implementing a Gen AI Smart Call Center Analysis App - MLOps Live #26 with McKinsey
Many enterprises operate expansive call centers, employing thousands of representatives who provide support and consult with clients, often spanning various time zones and languages. However, the successful implementation of a gen AI-driven smart call center analysis applications presents unique challenges such as data privacy controls, potential biases, AI hallucinations, language translation and more.
Effortless Stream Processing on Any Cloud - Flink Actions, Terraform Support, and Multi-Cloud Availability
Since we launched the Open Preview of our serverless Apache Flink® service during last year’s Current, we’ve continued to add new capabilities to the product that make stream processing accessible and easy to use for everyone. In this blog post, we will highlight some of the key features added this year.
How To Set Up Elasticsearch on Heroku
Use Elasticsearch Features on HerokuPower your data collection and analysis processes with Elasticsearch on Heroku. While Heroku streamlines your app developing process, this search engine add-on allows data analysts and app developers to manage, sort, and analyze information in near real-time. Explore the benefits of these two tools and how Integrate.io provides innovative data integration.
Safeguarding continuous delivery and guaranteeing success in your S/4HANA-enabled program
This blog was developed and published in collaboration with our partner, Capgemini. Organizations must move away from outdated methods of SAP delivery as they transition to S/4HANA and the cloud environment. The old school SAP approaches are no longer adequate for today’s requirements. They stem from the time in the 1990s and early 2000s when the enterprise resource planning (ERP) estate remained somewhat stagnant.
Performance engineering for retail and e-commerce applications
When you ask customers what key features they want in a software system, you’ll receive many answers. Most of them will be specific technical features like viewing, order history, or the ability to easily save favorites. Yet when given a system that contains everything they asked for, the customers’ first responses are often along the lines of “It feels a little slow.” Nowhere is the impact of poor performance felt so keenly than in the retail application space.
Introducing Apache Kafka 3.7
We are proud to announce the release of Apache Kafka® 3.7.0. This release contains many new features and improvements. This blog post will highlight some of the more prominent features. For a full list of changes, be sure to check the release notes. See the Upgrading to 3.7.0 from any version 0.8.x through 3.6.x section in the documentation for the list of notable changes and detailed upgrade steps.