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5 Ways Perforce Helps with DORA Regulation Compliance

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.

Take Your Document Processing Time from Hours to Seconds

Every business handles numerous document types—contracts, purchase orders, reports, invoices—you name it. And the thing about documents? They never look the same. One day, you’ve got a well-organized PDF with neatly labeled sections, making it easy to find what you need. The next, you’re stuck with a document that’s all over the place—random tables, text scattered everywhere, or even a scanned image that doesn’t fit the mold.

Equivalence Class Partitioning: A Complete Guide

Equivalence Partitioning, also known as Equivalence Class Testing, is a powerful black-box testing technique designed to streamline testing by minimizing the number of test cases while ensuring comprehensive coverage. This approach is widely used to make testing more efficient without sacrificing effectiveness. Let’s learn more about how it’s done!

The Five Pillars of Customer Identity and Access Management #WordsUnplugged

Customer Identity and Access Management (CIAM), a subgenre of IAM, enables organizations to scale and ensure secure, seamless digital experiences for their customers, while collecting and managing customer identity data purposefully. Powerful CIAM solutions provide a variety of key features including customer registration, social logins, account verification, self-service account management, consent and preference management, single sign-on (SSO), multi-factor authentication (MFA), and adaptive authentication as well as other nice-to-have features.

Building Livewire Components with Volt

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.

Replay Production Traffic to Mock local development environments

Building and debugging Kubernetes microservices can be tough, especially when you don't have realistic data or environments. See how Speedscale can quickly mock DBs and APIs based on observed production behavior, so you can debug and develop features quickly. People familiar with GoReplay will notice a more modern and automated approach to turning user behavior into reproducible developer environments.

APIs and Finance: How Banks Use APIs

Application programming interfaces (APIs) do a lot of behind-the-scenes work that you might never notice. When you look at the weather forecast on your smartphone, you get updated info because of an API. You rely on APIs when you sign into your email account, get driving directions, and book airplane tickets.

Black Friday Tip for Software Testers

Testers, how can you prepare for Black Friday? @MarcusMerrell suggests running real practice drills. Build an environment as close to production as possible and simulate an outage with your team to see how prepared you really are. These drills help reveal issues in your response process that you might not realize until it’s too late. By practicing in a realistic environment, your teams get more confidence handling real-world outages.

How Solid Data Strategies are Fueling Generative AI Innovation

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.