Xebia
NOVEMBER 25, 2024
Have you ever had to deploy, configure, and maintain your own DevOps agents, be it for Azure DevOps or GitHub? Managed DevOps Pools have recently been announced as Public Preview. Managed DevOps Pools, what are they? Managed DevOps Pools are Microsoft-hosted agents that can be configured to use private networking.
CIO
JANUARY 3, 2025
Today, IT encompasses site reliability engineering (SRE), platform engineering, DevOps, and automation teams, and the need to manage services across multi-cloud and hybrid-cloud environments in addition to legacy systems. Are you ready to transform your IT organization with AIOps? Beneath the surface, however, are some crucial gaps.
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TechCrunch
APRIL 28, 2021
Opsera, a startup that’s building an orchestration platform for DevOps teams, today announced that it has raised a $15 million Series A funding round led by Felicis Ventures. With this, Opsera essentially aims to help teams set up and operate their various DevOps tools. Image Credits: Opsera.
DevOps.com
NOVEMBER 13, 2024
An analysis of a data set collected by SignalFire, a platform provider for recruiting employees, finds that IT professionals specializing in areas such as DevOps move into leadership roles within their organizations within two to three years.
Speaker: Nico Krüger, Senior Director of Solutions Engineering at Rollbar
How is your organization’s DevOps doing? DevOps Research and Assessment (DORA) has identified four key metrics to help organizations understand where their DevOps stands and how it can reach an elite level of performance. Do you have strategies to both identify problems and improve performance?
The Crazy Programmer
SEPTEMBER 21, 2021
It is common for people to confuse these two prominent career options – DevOps Engineer and Software Engineer. Role of DevOps Engineer. The DevOps Engineer is responsible for everything from coding to updating, developing, to maintaining the software. Few DevOps engineers are as follows: Build engineer. Dependence.
Martin Fowler
NOVEMBER 2, 2021
Integrating the necessary security controls and audit capabilities to satisfy compliance requirements within a DevOps culture can capitalize on CI/CD pipeline automation, but presents unique challenges as an organization scales.
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As DevOps Value Stream Management (VSM) goes mainstream, large and small organizations increasingly recognize the need to apply data analytics to manage the end-to-end software delivery process more effectively – to deliver quality software faster and more predictably.
Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services
Whether you're developing for a small startup or a large corporation, learning the tools for CI/CD will make your good DevOps team great. Keys to automation at different stages of organization maturity. Maintaining a culture of DevOps no matter what the size of your organization is. The "two pizza" team culture.
Speaker: Roy Osherove, Technology and Leadership Consultant
To do this, you've learned a wide variety of techniques and methodologies - SCRUM, Kanban, TDD, DevOps, self-organized teams, and much more. Roy Osherove, the author of Elastic Leadership, is going to provide some answers that come from his experience seeing this across many different organizations.
Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale
Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. This workshop helps assess where your organization sits on the analytics maturity scale and where you might aspire to be. Translating DevOps principles into your data engineering process.
Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep
Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Distributed tracing was developed at organizations like Google and Twitter to address these problems and has also come a long way in the decade since then.
Advertiser: Data Robot
With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.
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