We talked to mobile engineers behind the top-rated PagBank app about how they keep up with scaling in a hyper-growth environment, how their workflows evolved after migrating from Jenkins to Bitrise, and the advice they’d give to other teams for optimizing CI processes.
Artificial intelligence is transforming software development. From the code to the deployment, AI is slowly but surely upping its game and helping us discover a brand new paradigm for inventing technology. Algorithm-based machine learning is being used to accelerate the software development lifecycle and AI is supporting developers to optimize software workflow at every stage of the development process.
Risk management framework helps you to set up a structured process for information security and risk management activities. Here, we explain what is the risk management framework (RMF), what are RMF controls, and how you can comply with RMF controls. Read along or jump ahead to the section that interests you the most.
Low-code application development went mainstream in 2020—and it continues to pick up speed. Forrester predicts that by the end of 2021, 75 percent of development shops will use low-code platforms (up from just 44 percent in 2020)[1]. Unfortunately, many IT teams are only scratching the surface of low-code’s power. Why? Because they’re running low-code projects with traditional high-code development practices. That’s like putting a minivan engine in a race car.
Business intelligence (BI) software, such as Microsoft Power Bi, allows organizations to leverage big data and make better business decisions. Select Hub reports that 48 percent of companies place high or critical importance on these solutions. However, BI tools introduce a level of security risk that businesses must address.
Since my last blog, What you need to know to begin your journey to CDP, we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). The good news is Cloudera has a tried and tested tool, Workload Manager (WM) that meets your needs. WM saves time and reduces risks during upgrades or migrations.
Are you using the right stream processing engine for the job at hand? You might think you are—and you very well might be!—but have you really examined the stream processing engines out there in a side-by-side comparison to make sure? Our Choose the Right Stream Processing Engine for Your Data Needs whitepaper makes those comparisons for you, so you can quickly and confidently determine which engine best meets your key business requirements.
