Non-Contributing Developers Expect Companies to Support Open Source
Companies should encourage its developers to spend part of the workday contributing to open source whether or not a project is managed internally by the company itself.
Transforming Information Into Knowledge
Companies should encourage its developers to spend part of the workday contributing to open source whether or not a project is managed internally by the company itself.
DevOps teams are more likely to have security tools properly integrated in their development pipeline, but many still struggle to do it well.
Git surpassed “open source” search queries in March 2011.
Efficiencies achieved because of SaaS and open-source-reliant infrastructure have been redirected to innovative software projects.
A few quick takes on GitHub’s annual report includes insights on non-U.S. contributions, developers supporting dependencies and the number of private repos.
Measuring CI/CD adoption is difficult for many reasons, but one of them is the choice between all-in-one bundled software or best-of-breed tooling.
Marketers are keen to define any tool that addresses an area of CI/CD as part of this market or a larger DevOps tooling segment.
Salesforce is buying Tableau and Google Cloud is adding Looker to its family. After reviewing a panoply of studies about business intelligence (BI), analytics, and data warehousing, we found it evident that both acquisitions will provide best-in-class functionality addressing the needs of both business analysts and the IT department, as well as leadership in high-growth markets that are only tangentially related to artificial intelligence and machine learning.
Fifty-three percent of IT leaders made significant changes to their IT operating model or organization in the last two years, and another 37 percent are in the process of making changes according to the aforementioned survey.
Stream processing users often start with ETL and messaging between microservices, then move into more advanced use cases.
Adoption figures for AI, ML, and intelligent automation are all over the map depending on how the terms are defined and who is asked about it.
The blockchain bubble has burst and now it looks like AIOps (IT operations aided by artificial intelligence) may be the next buzz word to become overplayed.