Mobile app security made easy with AppSweep's Verified Step
Bringing you closer to DevSecOps, the brand new 'Scan with AppSweep' Step on Bitrise makes your apps more secure with continuous security assurance.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
What is dependency injection?
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How manual testing is done on mobile?
Manual testing isn’t going to fade away. Yes, automated tests help save time by running a large number of tests in a short time. Yet, certain tests are still best done manually as trying to automate them is difficult and not cost-effective. The discussion, therefore, shouldn't be about automated testing vs. manual testing. Instead, it should be about how to utilize and balance both in a way suited to your organization's size and development cycle demands to maximize return on investment.
Why do you need a mobile platform team?
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Scaling build and merge times Building mobile apps at scale
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Rebranding DevOps as Cloud Engineering
In this episode of Kongcast, Matt Stratton, a staff developer advocate at Pulumi, explains the history of configuration automation, the world of cloud engineering and how it compares to DevOps. Check out the transcript and video from our conversation below, and be sure to subscribe to get email alerts for the latest new episodes. Viktor: So before we jump to this one, tell us a bit about yourself. Matt: I spent about two decades working in traditional technology operations. I was a sysadmin.
Cross-platform vs. Native App Development? Building mobile apps at scale
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Why is AWS Redshift Used? Integrate.io Has the Answer
Amazon uses a lot of adjectives to describe its cloud data warehouse: AWS Redshift is "fast," "simple" and "cost-effective." It's also popular. GE, McDonald's, Bosch, Coca Cola, and countless other brands, ranging from startups to Fortune 500 companies, have added Redshift to their tech stacks. But why is AWS Redshift used? And why is it the world's No.1 cloud data warehouse? Below, learn more about what Redshift does, how it does it, and why it could be a great fit for your organization.
Make Your AWS Data Lake Deliver with ChaosSearch (Webinar Highlights)
When CTO James Dixon coined the term “data lake” in 2011, he imagined a single storage repository where organizations could store both structured and unstructured data in their raw format until it was needed for analytics. But without the right storage technology, data governance, or analytical tools, the first data lakes quickly became “data swamps” - morasses of data with no organizational structure and no efficient way to access or extract meaningful insights.
Executing Data Integration on Amazon Redshift
Amazon Redshift says it executes data operations ten times faster than other enterprise data warehouses because of a hardware-accelerated cache called Advanced Query Accelerator (AQUAD). It also claims three times better price-performance than other similar technologies. Statements like these are what make Redshift an attractive option for companies that want to push data into a warehouse for analytics.