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.

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Red Hat Ansible Engine 2.6 Boosts Multicloud DevOps Capabilities

Source – eweek.com Red Hat is updating its Ansible Engine technology with the new 2.6 release that became generally available on July 17. New features in Ansible Engine 2.6 support automation across multicloud application deployments. Enhanced networking features in Ansible now make it easier for organizations to support different types of software-defined networking (SDN). In addition, Red Hat has boosted support for Microsoft Windows environments in the new Ansible update. “There are a few all-new capabilities in Ansible that are focused

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DevOps as the recipe for disruption

Source – itproportal.com For decades, industries have been disrupted by those that figure out ways to deliver products better, faster or cheaper. Businesses that harnessed natural resources, improved manufacturing processes, refined craftsmanship, deployed assembly lines, perfected supply chains or sourced lighter, stronger, better raw materials dominated. Today, industries are being disrupted by software. We constantly here how “software is eating the world”. New software-driven products and experiences are impacting virtually every industry you can name – from retail (Amazon) to cable

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10 Cool DevOps Tools To Know About In 2018

Source – crn.com The rapid adoption of cloud has ushered in a paradigm shift in how software is developed, packaged, deployed, updated and terminated. For starters, the multi-cloud world has created powerful use cases for containers, which offer unique application portability. Then come technologies, like Kubernetes, that orchestrate and manage those containers up the stack. Developers are now leveraging container technologies to build cloud-native software with service-oriented architectures, where applications are broken into micro-services more adept at rapidly scaling to handle massive loads.

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Back to the Future: Stick to the Fundamentals for DevOps Security

Source – tripwire.com In early August, I will be leading a couple of sessions at the Community College Cyber Summit about cybersecurity fundamentals. I’ve also been spending time working with my amazing colleagues here at Tripwire on a really cool new offering for DevOps pipelines – Tripwire for DevOps. Spending so much time going back and forth from “back to basics” and “the future of development” had me thinking that securing DevOps is really Back to the Future. There have been a number of great posts about

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Enterprise IT struggles with DevOps for mainframe

Source – techtarget.com The mainframe is like an elephant in many large enterprise data centers: It never forgets data, but it’s a large obstacle to DevOps velocity that can’t be ignored. For a while, though, enterprises tried to leave mainframes — often the back-end nerve center for data-driven businesses, such as financial institutions — out of the DevOps equation. But DevOps for mainframe environments has become an unavoidable problem. “At companies with core back-end mainframe systems, there are monolithic apps

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Cisco to acquire Duo Security to beef up multi-cloud efforts

Source – cloudcomputing-news.net Here’s a good example of how security underlines – or should underline – pretty much everything in the cloud: Cisco has announced it is to acquire Michigan-based Duo Security for upwards of $2.3 billion (£1.8bn). The deal, which expects to close during the first quarter of Cisco’s fiscal year 2019, aims to help give the networking giant’s customers straightforward and secure access to any application on any networked device through Duo’s platform. Duo Security offers a trusted access

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Designing new cloud architectures: Exploring CI/CD – from data centre to cloud

Source – cloudcomputing-news.net Today, most companies are using continuous integration and delivery (CI/CD) in one form or another – and this is of significance due to various reasons: It increases the quality of the code base and the testing of that code base It greatly increases team collaboration It reduces the time in which new features reach the production environment It reduces the number of bugs that in turn reach the production environment Granted, these reasons apply if – and only

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Choose the cloud computing deployment model that fits your data center needs

Source – techtarget.com Businesses that strive to innovate while meeting compliance requirements often turn to cloud computing to update their asset management systems and increase their data center performance. Companies benefit from utilizing cloud and colocation because these services save time, money and space. Administrators can share resources across workloads and protect their data from outages that could affect their entire system by distributing data in the cloud. Organizations have many cloud computing deployment models to choose from to modernize their management

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Get ready for the next big disruption in the cloud: serverless computing

Source – siliconangle.com In the process of sending more than 1.5 billion messages a day and interacting with more than 1 billion consumers a month, Braze Inc. uses a lot of cloud infrastructure. But its business is unpredictable, so demand for computing resources can fluctuate dramatically depending on the volume of data it must transform to support its customers’ personalized messaging needs. “At one point we may have 100 servers running, and at another we may have 1,000,” said Sal Poliandro III, director

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