Software Engineering


How Artificial Intelligence, Machine Learning Can Help DevOps - DevOps.com

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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 ML to their benefit. Businesses are under a lot of pressure to meet customers' ever-changing demands, and many embrace DevOps to improve their performance to some extent.


How Artificial Intelligence, Machine Learning Can Help DevOps - DevOps.com

#artificialintelligence

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 ML to their benefit. Businesses are under a lot of pressure to meet customers' ever-changing demands, and many embrace DevOps to improve their performance to some extent.


Electric Cloud Applies Machine Learning to DevOps - DevOps.com

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Machine learning algorithms are being applied to advance DevOps via analytics software that Electric Cloud is making available as a software-as-a-service (SaaS) application. Electric Cloud CTO Anders Wallgren said ElectricFlow DevOps Foresight is made possible because of the massive amounts of data that Electric Cloud is able to acquire providing an application release and continuous delivery platform-as-a-cloud service. Electric Cloud applies predictive analytics against all the data it collects to identify and contrast patterns, which it then uses to generate recommendations to specific DevOps teams based on what's occurring in their local environment, said Wallgren. ElectricFlow DevOps Foresight is able to generate a risk score metric that predicts the probable outcome of a release before being deployed in a production environment. Based on that score, he said, a DevOps team can decide to go ahead and deploy that code or hold it back for further testing.


10 Tips For Hiring A Software Developer At A Startup

Forbes Technology

I have been looking for another engineer to join my technology team at pulsd. I believe hiring is one of the most important tasks for a startup, if not the most important. Sometimes it can be a frustrating process. As they say, if you're the smartest person in the room, it's time to hire someone else. It's not just a good idea to hire someone smarter than you -- it's actually a recipe to make your company more successful.


5 key drivers for software testing in 2018: Driving the digital change

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Software testing has seen two major transitions in the past decade. The advent of agile heralded the shift from manual to automation and then in recent times, DevOps is driving the 2nd wave of change for testing teams with continuous integration and delivery. Although, in many ways, we are seeing some of the old practices coming back to life again in testing. Let us explore some major drivers that are becoming extremely important in 2018 and will remain in the future. The DevOps paradigm and continuous delivery have led to a digital shake-up for enterprise IT.


Process Automation vs Process Management

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There is a lot of buzz around Robotic Process Automation (RPA) and there are those that would try to convince you that RPA replaces Business Process Management (BPM). There are others that would have you believe that BPM can be leveraged to do what RPA does in most cases. Right now RPA works on specific tasks and BPM works on orchestrating all kinds of tasks that involve RPA or not while dynamically delivering changing business outcomes. Over time they will have more overlap as both leverage more intelligence through AI and Algorithms. What Does BPM Do? BPM manages tasks and the sequences in an end to end style while monitoring results and making necessary adaptations to keep goals and business outcomes on point.


AI-powered DevOps is how CA wants to reinvent software development and itself

ZDNet

CA is one of the oldest, most traditional enterprise software companies around. As such, it has not exactly been synonymous with innovation. But Ashok Reddy, its DevOps general manager, says this is changing, and CA is reinventing how DevOps is used to develop and deploy software throughout its lifecycle, based on data, machine learning, and AI. CA has come a long way since 1976. This multi-billion dollar organization, with presence all over the world and thousands of people in its payroll, has made a name for itself mostly as a provider of enterprise software.


Splunk buys VictorOps for $120 million

ZDNet

Splunk on Monday announced that it's acquiring VictorOps for $120 million. VictorOps' expertise is in the DevOps incident management space. Its platform aims to help on-call operations teams monitor issues and resolve incidents using backend system data. Splunk said it plans to apply machine learning and artificial intelligence to VictorOps' incident management software to offer a "platform of engagement" that combines event management, monitoring, on-call management, and ChatOps. The ultimate goal is to give DevOps teams the ability to make proactive recommendations based on past actions.


Australia's intellectual property agency goes all in on user design, DevOps and AI

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Rob Bollard, CIO at IP Australia, the government's intellectual property department, is proud to say that he heads up Australia's first fully digital service delivery agency. In just the space of four years, IP Australia has gone from receiving just 12% of its IP applications online – the rest coming through on paper – to now receiving 99.6% through digital channels. Not only his, but Bollard is overseeing the decommissioning of old systems, a move to the cloud, has implemented agile working, created a DevOps environment that focuses on continuous delivery, ensures systems are designed with the user in mind, and is even deploying AI technologies to improve experiences for employees and citizens. I got the chance to sit down with Bollard at Pega's annual user event in Las Vegas this week, as IP Australia has implemented the Pega platform as its case management system. Our vision is really to become a world-class IP office and to try to support the prosperity of Australians in the system.


Instana Announces First Ai-Powered Monitoring Solution For Aws Lambda; Available On Aws Marketplace - DevOps.com

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June 6, 2018 – Berlin at the AWS Summit – Instana, the leader in APM solutions for monitoring dynamic containerized microservice applications, today announced the extension of performance monitoring support to a broad range of Amazon Web Services (AWS) products including AWS Lambda, Amazon's premier Serverless Computing platform. In addition to the release of the new monitoring sensors for AWS native platforms, Instana also announced that their AI-powered APM solution is now available through the AWS Marketplace. "More business applications are operating in a hybrid environment, incorporating traditional monolithic applications, wrappered with a new microservice stack, and using native AWS services. It's now also common to see customers starting to use AWS Lambda Functions for specific microservices as well," said Mirko Novakovic, Instana CEO. "This level of complexity requires the ability to monitor the whole environment with a single solution that can give DevOps the required observability to see and address problems, no matter where they reside."