BigQuery history-based optimizations learn from similar queries to identify and apply additional improvements to the query execution.

Measuring throughput and latency is a critical step in load testing software to ensure application performance and stability. In this article, we’ll discuss essential considerations before beginning performance testing and provide a detailed, step-by-step guide on leveraging production traffic replication in Kubernetes. This approach helps you accurately determine your software’s maximum throughput during performance testing.

If innovation is the ultimate goal in business and technology today, then consider generative AI (gen AI) the vehicle taking us there — and a strong data strategy, the fuel. Despite all its promise of productivity gains and new discoveries, gen AI alone can't do it all. The technology needs a "very ready" data foundation to feed on, something the vast majority of businesses today (78%) do not possess, according to a new report by MIT Technology Review Insights, in partnership with Snowflake.

In January 2025, the European Union (EU) will begin enforcing a new regulation called the Digital Operational Resilience Act (DORA). The DORA regulation mandates sweeping cyber resilience requirements for financial institutions and third-party information and communication technology (ICT) providers. In this blog post, we examine how two core Perforce offerings help financial institutions and their supporting ecosystem of service providers comply with the requirements laid out in the DORA regulation.

In the past, when building Livewire components for our Laravel applications, we needed to keep our backend and frontend code split up into separate files. This can sometimes get a little confusing, especially with larger projects. But with Volt, we can now build single-file Livewire components where the backend and frontend code coexist in the same file. In this article, we'll look at what Volt is and how Volt components differ from traditional Livewire components.

Boundary Value Analysis (BVA) is a crucial software testing technique that focuses on testing the boundaries or edges of input ranges. It is based on the observation that errors often occur at the edges of input ranges rather than in the middle. By testing the extremes, BVA helps identify potential vulnerabilities and ensures that the system behaves correctly at its limits.