DevOps or DevOops?
Information Week
JANUARY 4, 2022
IT continues to expand DevOps use, but there are still some quirks and limitations that are tripping it up.
Information Week
JANUARY 4, 2022
IT continues to expand DevOps use, but there are still some quirks and limitations that are tripping it up.
Information Week
FEBRUARY 18, 2021
While DevOps as a practice is evolving, so are the roles within a DevOps team. Following are an explanation of some of the trends worth watching.
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Information Week
MAY 20, 2022
Nearly 75% of DevOps initiatives are failing to meet expectations. Where do organizations go wrong?
Information Week
JUNE 1, 2020
Artificial intelligence and ML can help us take DevOps to the next level through identifying problems more quickly and further automating our processes.
Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software
Though DevOps is a relatively new role, it’s one that allows visibility across the whole operation, making it important to senior tech positions. This includes how to: Obtain an overview of existing AI/ML technologies throughout the DevOps pipeline across categories. Understand the future of DevOps tied with AI/ML technologies.
Information Week
JANUARY 14, 2021
Rocked by COVID in 2020, DevOps teams will face new challenges -- and opportunities -- over the next 12 months. Here's a look at what to expect.
Information Week
DECEMBER 31, 2021
DevOps and the implementation of more no-code and low-code applications are changing the way organizations approach software development. Does software maintenance need to change, too?
Advertiser: Datadog
Datadog Security Monitoring provides end-to-end security coverage of dynamic, distributed systems in a unified platform, enabling DevOps, SecOps, and GRC teams to work together to detect and respond to threats and misconfigurations in real time.
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?
Advertiser: Datadog
In this eBook, Christian Oestreich, a senior software engineering leader with experience at multiple Fortune 500 companies, shares how a metrics-driven mindset can dramatically improve software quality and enable DevOps at enterprise scale.
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. Maintaining a culture of DevOps no matter what the size of your organization is. We are excited to be joined by Leo Zhadanovsky, Principal Solutions Architect at Amazon Web Services.
Speaker: Shlomo Bielak, CTO, Benchmark Corp
It's time to manage your team's energies to maximize DevOps efficiency, all the while maintaining top security standards. How a belief that DevOps resources are jack of all trades can increase your risks, not lessen. In the current climate, we cannot afford to let security implementations falter.
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. As a senior software leader, you spend much of your time trying to optimize your team's performance – from increasing delivery rate and velocity to reducing defect rates and waste.
Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale
Translating DevOps principles into your data engineering process. Workshop video modules include: Breaking down data silos. Integrating data from third-party sources. Developing a data-sharing culture. Combining data integration styles. Using data models to create a single source of truth. Making everyone a data analyst with a semantic layer.
Advertiser: Data Robot
Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises, with tips such as: Using automated machine learning (AutoML) frameworks to enhance productivity.
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