In today’s fast-paced world of software development, it’s crucial to ensure that the products you build meet the needs and expectations of your users. This is where testing comes in, and there are various types of testing that you can perform to achieve this goal. The two important types of testing are API and UI testing.
In software development, integration testing is essential in ensuring that all system components function correctly and work together seamlessly. Critical bugs can go unnoticed without proper integration testing, leading to significant issues in production environments. This blog talks about Integration testing and Types of Integration testing. One example of a bug found in production due to the absence of integration testing is the infamous Equifax data breach in 2017.
We are announcing BigQuery ML inference engine, which allows you to run predictions on a broad range of models hosted across multiple locations.
New BigQuery pricing editions and autoscaling let you choose the right price-performance for your workloads, and pay for only what you use.
BigQuery data clean rooms can help organizations create and manage secure environments for privacy-centric data sharing, analysis, and collaboration.
Customizing exceptions is usually not a common concern during software development. But if you catch an error in an observability tool and can't correctly and quickly identify the problem, you may need more information and details about an exception. This article will show you how to customize exceptions in Ruby and mitigate potential future problems due to a lack of error information. Let's dive straight in!
With digital technologies transforming industries, companies adopt Agile and other practices to gain a competitive advantage. DevOps is one such method that has changed software development as we know it. The new-age approach helps accelerate productivity and also enables better collaboration between the development and operation teams. But the biggest benefit of adopting DevOps is faster time-to-market. It has helped around 83% of organizations unlock business value and deliver customer value faster.
In this blog post, we will run JMeter tests from code. First we will look at how we can create an IntelliJ project in Java to build a JMeter performance test. Once you understand how JMeter tests in code can be written you can start to build tests in your development code base to compliment unit tests or functional tests written by developers during the creation of application and services.
I’m a firm believer that banks rarely invest to drive revenue and elevate customer service. But I recently hosted a roundtable discussion in London with Appian, a process automation platform company, where leaders from mainstream and challenger banks in the UK gathered to discuss the challenges facing financial institutions when adopting new technology.
Data management in the modern enterprise requires skill and stamina. With the mountainous rise in data volume and the complexity of managing disparate data sources across a wide variety of legacy systems and hybrid cloud environments, it can seem virtually impossible to successfully climb past enterprise data obstacles to success. However, data fabric technology eliminates some of those obstacles. Is it the answer for your data strategy?
