Interested in learning about different technologies and methodologies, such as Databricks, Amazon EMR, cloud computing and DataOps? A good place to start is reading articles that give tips, tricks, and best practices for working with these technologies. Here are some of our favorite articles from experts on cloud migration, cloud management, Spark, Databricks, Amazon EMR, and DataOps!
Rahul Parwal is a software engineer, speaker, mentor, and writer out of Jaipur, Rajasthan. He has dabbled in software development, testing, and automation, and often shares his learnings in his blog. In this QnA, Rahul makes the point that a randomly failing test is always worth investigating and that assumptions are dangerous in testing.
Snowflake was architected with cross-cloud security built into its core, providing multiple layers of robust protection from network access, to authentication and access control, to data protection using encryption (for more details on Snowflake security, check out the on-demand session from Snowflake Summit). For the most-regulated customers around the world, enabling private connectivity is a critical first line of defense.
This article will explain in a nutshell how you can easily build your own CI/CD pipelines for your mobile apps, based on your specific business needs.
Mobile testing is the process of testing mobile applications for functionality, usability or performance through the use of tools or open-source frameworks. Smartphones, tablet PCs, or every new release of the iPhone with the smallest changes, makes mobile testing, and automated testing, imperative to detect regression bugs and enables teams to ship quality applications.
API gateways and management platforms like Azure API Management (APIM) are an excellent way to keep your APIs in order. They provide features that every API needs, like API keys, quotas, and caching in a standardized fashion. Your APIs will then behave more homogeneously and can be managed in a central place. They’re also the entry point to your cloud infrastructure and can help you abstract implementation from the interface.
API gateways and management platforms like Azure API Management (APIM) are an excellent way to keep your APIs in order. They provide features that every API needs, like API keys, quotas, and caching in a standardized fashion. Your APIs will then behave more homogeneously and can be managed in a central place. They’re also the entry point to your cloud infrastructure and can help you abstract implementation from the interface.
Google's Cloud Functions let developers run their code in production in a scalable way without worrying about the minutiae of server administration. In this article, Subomi shows walks us through building a real-world service using GCF.
At Speedscale, we are on the cutting edge of defining autonomous testing for the cloud era. However, we aren’t the only company trying to solve this problem and we enjoy learning from every perspective. That’s why Facebook’s recent blog article about autonomous testing caught my eye. They’ve built a sophisticated autonomous test system that introduces many of the same techniques we utilize.
Congratulations on creating a clean(ish) dataset to use for training! Now while the dataset is stored where it’s accessible to everyone, the distribution itself is a hassle! Local workstations, local GPU machines, and cloud machines (that may be spun up and down without disk persistence) are getting data everywhere. …and to say it is annoying is an understatement!
