January 24, 2017 Mantosh Singh DevOps, DevOps News, DevOps Tools Leave a comment

Global DevOps Tool Market – Puppet Labs, Chef, Docker Inc, RedHat, Atlassian

Source:- longshortreport.com DevOps Tool Industry Report introduced a Market Segment, Product Types, with Sales, Revenue, Price, Market Share and Growth, focuses on top players in these regions/countries, Size, Share, Demand, Analysis, Manufacturers, Type and Application, Forecast 2016 to 2021 The research study Global DevOps Tool Industry offers strategic assessment of the Global DevOps Tool market. The industry report focuses on the growth opportunities, which will help the Global DevOps Tool industry to expand operations in the existing markets or aid

January 23, 2017 Mantosh Singh Cloud Computing, DevOps Best Practices, DevOps Process Leave a comment

Top tips to achieve cloud visibility in your cloud environment

Source:- itbrief.co.nz While cloud is the word on every enterprise’s lips this year, the path to digital transformation is still a bumpy road, with visibility and insight issues that can hamper effectiveness, according to Ixia. A recent Ixia study on virtualisation found that 37% of organisations monitored their virtual environments at the same level as their physical networks. This lack of visibility might be a good tradeoff now, this will change if things go wrong, says Ixia VP of solutions

January 23, 2017 Mantosh Singh DevOps, DevOps News Leave a comment

Canonical launches Ubuntu Tutorials

Source:- betanews.com Linux is arguably the most successful open source project in all of history. The success of the kernel — and operating systems that use it — are not due to any one man or woman. Actually, the achievements are thanks to the Linux community. In other words, it is a team effort — developers, users, and more. For a Linux distribution, such as Ubuntu, to continue its progress, Canonical needs developers to remain interested — this includes getting

January 21, 2017 Mantosh Singh Cloud Computing, DevOps Updates Leave a comment

De-risking the cloud

Source:- zdnet.com Whatever has happened to cloud? From risk bête noir to flavour of the month – how did that happen? Surveys across the board show huge growth in the adoption of cloud computing, especially hybrid cloud: in a recent report, 95% of IT professionals said they were using the cloud, and 75% said they were using hybrid cloud. And the report also found that security was no longer the top cloud challenge, with the top spot now occupied by

January 21, 2017 Mantosh Singh Continuous Integration, DevOps Tools, DevOps Updates Leave a comment

Code Development Still not Seeing Security Involvement

Source:- infosecurity-magazine.com Code development should have security built in from the start to avoid headaches further along the line, and tools and processes exist to make this possible. Speaking at the Checkmarx “Shift Left” conference in central London, security researcher Troy Hunt said that it is hard to put numbers on security of code, and it is hard to look at code once it is written and determine if it is good or bad, but if it is bad, it

January 21, 2017 Mantosh Singh DevOps, DevOps Best Practices, DevOps Process Leave a comment

How DevOps went mainstream in 2016

Source:- itproportal.com 2016 was the year that DevOps became part of IT organisations’ everyday language. While forward thinking, agile businesses have embraced DevOps from the outset, what we’re seeing now is what, in the Technology Adoption Lifecycle are known as “the late majority” shifting towards new DevOps practices. Bringing development and operations together to deliver what a business needs, quickly, reliably, flexibly defines the DevOps approach. It can transform how an organisation works, breaking down traditional barriers between IT teams

January 20, 2017 bestdevops DevOps, DevOps Process, DevOps Tools, IT Training, IT trends Leave a comment

Engineering Your IT DevOps Career Pathway

Source – cbtnuggets.com DevOps still is new enough that certifications are evolving and emerging. In time, the IT industry will make clear what certifications are most necessary and most highly valued, but until then, we have some suggestions for training and certification pathways to help you engineer a successful DevOps career. IT Certification and Training Pathways DevOps emerged as a response to the challenges of siloed Dev and IT departments, resulting in failures. Generally, the goal is to solve those issues,

January 20, 2017 bestdevops Cloud Computing, Continuous Delivery, Continuous Integration, DevOps, IT trends Leave a comment

Basic DevOps Principles and its 5 Unsung Tools

Source – ibm.com What is DevOps The term “DevOps” typically refer to the emerging professional movement that advocates a collaborative working relationship between Development and IT Operations, resulting in the fast flow of planned work (i.e., high deploy rates), while simultaneously increasing the reliability, stability, resilience and security of the production environment. Our DevOps online training enlightens you on how DevOps differs from Agile. One tenet of the Agile development process is to deliver working software in smaller and more frequent increments, as opposed

January 20, 2017 Mantosh Singh DevOps Best Practices, DevOps News, DevOps Updates, IT trends Leave a comment

DevOps trends emerging for 2017 and beyond

Source:- enterprisersproject.com As the year draws to a close, we look towards the future and the emerging trends that are set to shape the world of software delivery for 2017 and beyond. One of the most powerful, overarching trends we saw in the recent year is the growing adoption and maturity of DevOps practices. From its grassroots, small-teams beginnings, DevOps has mushroomed and is now at the point of becoming the standard way of working (or rather, the pursuit and

January 20, 2017 Mantosh Singh Continuous Integration, DevOps, DevOps Best Practices, DevOps Updates Leave a comment

4 considerations for Machine Learning System in Production

Source:- infoworld.com Writing a recommendation engine isn’t easy, but at least it’s straightforward. Given a large data set and some symptoms, you can determine what disease a patient might have. The problem is getting that recommendation engine, written in R or Python, and integrating it with an existing medical records system written in a more traditional language and delivered over the web. Most of the attempts to do this look a bit like a wonderful mosaic quilt … with a

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