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!
In our previous article, The Future of the Modern Data Stack, we examined the motivations of the modern data stack, its current state, and looked optimistically into the future to see where it is headed. If you’re new to the modern data stack, we highly recommend giving the aforementioned article a read. A question we often get from new adopters of the modern data stack is “What tech should we be looking into?”.
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.
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.
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.
