Software teams have found themselves in the center of the business’ strategy. Their strategic decisions on technologies to invest in has resulted in greater agility and the ability to build products that differentiate their companies in the market. As a result, optimizing the ability for software teams to deliver by investing in stronger tooling has become a core priority.
Everything that occurs is a change in state, or an event for short: the sun comes out, the bus arrives, plants emerge from the ground, a neighbor says hello, the calendar page turns to a certain date or time, or your team lead yells that you should get to da choppa. Among all events, the ones that must be observed, recorded, or otherwise acted upon can be categorized based on how timely the reaction needs to be.
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.
Would you like to beta test and deploy your app to one, or thousands of users? Appaloosa helps you distribute your mobile apps privately, collect feedback, and analyze your deployment’s efficiency.
Colin Hemmings, Senior Product Manager of Bitrise Trace shares his experience in mobile monitoring and its challenges in this behind-the-scenes interview.
