Systems | Development | Analytics | API | Testing

How to Use Proxies for SEO

Proxies route your requests through a different IP address, which sounds simple until you realize how much SEO work depends on seeing the internet from somewhere other than your own machine. Google shows different results depending on location, and a single IP hammering search results all day looks a lot like a bot to most sites. That's basically why proxies became standard tooling for SEO work rather than some niche technical trick. Rank tracking, competitor research, and large-scale data collection all lean on them in one way or another.

Playwright End-to-End Testing with Recorded API Mocks

Your Playwright test clicks Next page, waits for the item list, and times out. Now you’re digging through a trace to find out whether the page broke or an API call failed. Traditional browser-testing workflows focus on clicks, page state and UI assertions. Those checks tell you whether a user journey works, but investigating a failure also means understanding the APIs behind the page.

Functional vs regression testing: Key differences

Functional testing checks that a feature works the way the requirements say. Regression testing checks that features which already worked still work after a code change. Put simply, functional testing asks "does this work?" and regression testing asks "did we just break something?" The two get mixed up because they often use the same test cases. A test that checks "a user can reset their password" is a functional test the first time you run it against a new feature.

How ReportMiner Processes Mainframe Reports at Enterprise Scale

Watch Astera ReportMiner extract data from a multi-section Fedwire settlement report, a fixed-width mainframe report with no delimiters and no tags, and load it into Excel and SQL Server automatically. This demo walks through mainframe report extraction in practice: dense, positional reports produced by COBOL batch jobs on IBM z/OS and AS/400 systems, running to hundreds or thousands of pages, that power daily operations in banking, insurance and government.

BigQuery vs. Production SQL: When should you use a data warehouse instead of a relational database?

Why analytical queries slow down a production transactional database, and when to use a columnar data warehouse like BigQuery instead. (Note: We generated this explainer as part of an AI video experiment. Let us know in the comments if this quick format works for you.)

Agentic AI in PropTech: What Changes When Software Starts to Act

An AI that drafts a listing or summarizes a lease is now ordinary in real estate software. The change worth watching is software that can carry out work inside the systems a business actually runs on. That change is easy to underestimate. In a demo, an agent that schedules a viewing or processes a renewal can look straightforward.

Why Anthropomorphizing Your AI is Risky Business #AI #podcast #techpodcast

While it may seem harmless to give your AI a name, or a gender, you could be inadvertently opening up a security risk in the process. Dr. Peter Garraghan has spent years studying how attackers exploit AI systems, and some of his findings are surprisingly human. AI models can be manipulated through language, using techniques that resemble the social engineering tactics cybersecurity professionals have dealt with for decades.

Top EHR Data Migration Companies & Services to Know in 2027

‍ EHR data migration involves transferring clinical, administrative, and patient records between electronic health record systems. The process requires accurate data extraction, transformation, patient identity matching, validation, and integration with existing healthcare infrastructure. Healthcare organizations often undertake EHR migrations during platform replacements, hospital mergers, infrastructure modernization, and system consolidation.

Healthcare IT & Cloud Modernization: Migrating Clinical Systems Without Disruption

‍ Healthcare IT modernization involves upgrading legacy clinical applications, infrastructure, and data architectures to improve operational efficiency and system resilience. It enables healthcare organizations to adopt scalable cloud environments while maintaining clinical data integrity and regulatory compliance. Healthcare cloud modernization requires careful migration of electronic health records (EHRs), laboratory systems, and medical imaging platforms.