Applying machine learning to DevOps

Source – jaxenter.com DevOps methodologies are rapidly increasing and generating vast and diverse data sets across the life cycle of entire application including development, deployment, and performance management. Only a robust analysis and monitoring layer can particularly harness this data for the ultimate DevOps goal that is end-to-end automation. The rise of machine learning and its related capabilities, such as artificial intelligence and predictive analytics, has pushed organizations to explore implementing new analysis models that mainly rely on mathematical algorithms.

Read more

DevOps 101: Adopt Continuous Innovation

Source – informationweek.com DevOps requires some hard work and tough choices, but in the end can keep a business competitive and innovative. I’ve spent a good portion of my career interacting with DevOps, but from an infrastructure and data center perspective. In that role, my goal was to eliminate legacy components from infrastructure so that the entire process could then impact both DevOps and the business overall. Today, my focus has shifted into the world of cloud, DevOps, and advanced technology

Read more

When AI meets DevOps: Getting the best out of both worlds

Source – cloudcomputing-news.net DevOps has been widely embraced by businesses under pressure to get competitively advantageous digital deliverables to market at the fastest possible cadence—especially given the reality of limited coder headcount and the need to rigorously avoid brand-toxic snafus in the customer experience. Artificial intelligence (AI), in stark contrast, is a potentially transformative digital discipline that is still very new to most enterprise IT organizations. But while it’s certainly important that CIOs nurture AI adoption with appropriately resourced pilots, it’s

Read more

How Artificial Intelligence, Machine Learning Can Help DevOps

Source – devops.com Artificial intelligence (AI) and machine learning (ML) can help the humans in DevOps break free from focusing on simple activities. One aspect of DevOps is automating routine and repeatable actions, and AI and ML can perform these activities with enhanced efficiency to improve the performance of teams and business. There are algorithms that can perform many operations and procedures, allowing those in DevOps to execute their part effectively. This article discusses how DevOps engineers can use AI and

Read more

Digital Transformation Strategy? Think Cloud

Source – devops.com A few years back companies used innovation and digital transformation mostly to differentiate themselves and to stay competitive. The drastic growth in digital and cloud computing over the last couple of years have changed this mindset. Today, organizations have to be innovative and leverage the latest technologies just to sustain and stay in business. Enterprises that implement online retail business, online banking and several other online services aren’t considering those channels simply as another route to increase their

Read more

Best Practices for Application Security Testing in the Era of DevOps and AI

Source – devops.com Application security testing is no easy feat. And yet, it’s usually the first topic that most articles about application security address. The reasons are simple: As the pace of application development techniques (and their inevitable vulnerabilities) evolve, AppSec personnel have found themselves caught between the desire to keep pace with their management of security testing requirements and their ability to allow the developer teams to operate in the modern, fast-paced ecosystem of DevOps and artificial intelligence. To better

Read more

DevOps Improving Outcomes through Improved Business Processes

Source – digitallearning.eletsonline.com There has been a lot talked about artificial intelligence and automation however, not much has been written about DevOps, which is a software engineering culture and practice that aims at unifying software development (Dev) and software operation (Ops), says Anand Sahay, CEO, Xebia, in conversation with Elets News Network (ENN). Why is there a need for courses in DevOps? Digital has completely changed the way people want to do business today. It is forcing businesses to adopt digital technologies and

Read more

Golden online era dawns for cloud, big data, AI

Source – ecns.cn China’s digital economy, or D-economy, has entered a “golden era” and has become a new economic growth engine, said an expert from the China Academy of Information and Communications Technology, a government think tank. The internet, and technologies like cloud computing, big data and artificial intelligence, or AI, are helping transform several industries and sectors, thereby driving economic growth, he said. “The country’s digital economy has stepped into a new phase, with the focus shifting from high-speed growth

Read more

Cloud Computing and AI transform the Banking sector

Source – cioreview.com With the adoption and development of cognitive computing capabilities, the way customers interact with their banks will ultimately change for good. Artificial intelligence and cloud computing will empower banks to efficiently redefine the workflow, create innovative products and services, and transform customer experiences. Many banks have adopted AI, infusing it into their customer experience. This development is witness to AI’s role in banking becoming increasingly crucial and visible over the next few years. The introduction of cloud

Read more

List Of Top 10 Technologies To Learn In Near Future If You Are An IT Guy

Source:- devopsengineersclub.com & Wikipedia Now a days, lots of students of IT are moving to learn programming languages such as PHP, Java, ASP.NET, Android and so on. But there is a world apart from the programming that needs to be explored. I am not discouraging you for programming. Programming should not be ignored if your are a IT graduates. You must have to be good at any of the programming languages such as python or Java or PHP. But apart from

Read more
1 2