Apiumhub
AUGUST 22, 2023
Continuing from Part 1 , this article delves deeper into the insights of the talk “Pragmatic Approach to Architecture Metrics” presented by Sonya Natanzon and Vlad Khononov at the Global Software Architecture Summit last year. Increase distance Pragmatic Approach to Architecture Metrics in a Nutshell 1.
Agile Engine
APRIL 18, 2024
Introduction Over the past decade, DevOps has had a transformative impact on how companies manage their software engineering efforts. Yet, eight out of 10 companies practicing DevOps are barely in the middle of this transformation. It seems that scaling DevOps is a challenge in itself, so let’s look at how companies can solve it.
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Allstacks
JUNE 12, 2023
A Google search for “engineering productivity” turned up 325 million results, three times more than a search for “Agile” and about the same number as “DevOps.” Here’s everything you need to know to establish sustained engineering productivity in your organization.
CIO
MARCH 26, 2024
In addition to AI and machine learning, data science, cybersecurity, and other hard-to-find skills , IT leaders are also looking for outside help to accelerate the adoption of DevOps or product-/program-based operating models. Dun & Bradstreet’s Manos recommends regular check-ins where key goals, metrics, and objectives are reviewed.
CIO
DECEMBER 19, 2023
Embrace metrics and iterate To achieve maximum efficiency, Cziomer also suggests focusing service efforts on DevOps Research and Assessment (DORA) metrics, such as “lead time for change” and “time to restore service.” Until you address the root cause, you can never sustain IT service excellence.”
TechCrunch
JUNE 1, 2022
We’ve long documented the challenges that DevOps and operations teams in specific areas like security face these days when it comes to data observability: a wide range of services across the landscape of an organization’s network translates into many streams of data that they need to track for performance, security and other reasons.
CIO
DECEMBER 4, 2023
Once focused solely on reducing search and retrieval times, information lifecycle management (ILM) is now critical to workflow automation, identifying and tracking performance metrics, and harnessing the burgeoning potential of AI. Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact.
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