CIO
AUGUST 28, 2023
Agile project management definition Agile project management is a methodology used primarily in software development that favors flexibility and collaboration, incorporating customer feedback throughout the project life cycle. A product or service is delivered with higher frequency.
CIO
AUGUST 25, 2022
Therefore, it’s up to CIOs to do due diligence about what sort of security controls are in place and to ensure data is well protected in an [as-a-service] operating model. The security-shared-responsibility model provides a clear definition of the roles and responsibilities for security.”.
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CIO
MARCH 8, 2023
Therefore, it’s up to CIOs to do due diligence about what sort of security controls are in place and to ensure data is well protected in an [as-a-service] operating model. The security-shared-responsibility model provides a clear definition of the roles and responsibilities for security.”
Xebia
APRIL 5, 2022
In many organizations, automated testing lags behind and becomes a bottleneck for successful continuous delivery. Definition of Done – a team needs to agree that executing these tests is part of delivering changes and when changing code, new tests should be added. When writing tests, it is good to stick to the F.I.R.S.T
Apiumhub
OCTOBER 10, 2023
Are you successfully adhering to software delivery dates? Instead, they receive instructions about the tasks at hand and the associated due dates. Still, in reality, when you’re building software, you spend much time not only on production but also on exploring and identifying the problem on the spot.
Daniel Bryant
MAY 1, 2020
Here are our top four takeaways from the conversations: The cloud developer experience can be “complicated” A cloud platform must be managed as a product The old “staging environment” model needs updating Don’t underestimate the value of continuous delivery The remainder of this article explores each of these takeaways in more detail.
Honeycomb
SEPTEMBER 20, 2023
Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. In theory , all software is debuggable. There is a much longer list of things that make software less than 100% debuggable in practice.
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