Writer: Namita Mahajan

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Leveraging AI for Cloud management

These days, business organizations want to benefit from cloud computing, but most don’t want the public cloud’s cost, governance, and performance concerns. Also, they don’t want the operational and complexity overhead of the private clouds. Due to this, most vendors use Artificial Intelligence to simplify private cloud implementation and management. Which further make it possible

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Rise of no code and low code platforms

Recently, the increased discussion on low code and no-code platforms has increased too much/ These development disruptors enable the opportunity to improve the industry challenges such as limited efficiency and slow innovations.  These platforms are increasingly becoming the technology people love to work with over the digital workplace. According to Gartner’s research, organizations will develop 70%

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How SRE transform ItOps?

Traditional IT Ops does not work at the same speed that the industry expects for cloud-native software delivery. This is why new approaches came into existence, specifically Site Reliability Engineering (SRE) that helps gain traction across the industry. SRE, pioneered by Google, is completely different from IT operations. This is because it focuses on the

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Machine Learning for DevOps

DevOps and machine learning are advanced technologies that tend to change the world’s future. This combination helps both professionals and individuals to grow in the market.   AI/ ML helps DevOps complete the tasks efficiently and improve the team’s performance, leading to the business’s growth. It is one of the most amazing technologies for developers because

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