Gorilla Logic

APRIL 20, 2022

Typical deliverables from this phase include: Test case execution report, defect reports, updated/completed Requirements Testing Matrix, test closure report, and test metrics. Improve business impact with continuous integration, continuous testing, and continuous delivery . Quality is everyone’s job.

Quality Assurance 52

Quality Assurance Testing Software SDLC 52

Altexsoft

JULY 4, 2022

The expert also documents problems and how they were addressed and creates metrics reports. Infrastructure upgrades and integration project management. Continuous integration and continuous delivery (CI/CD) platforms. Key non-technical abilities organizations look for in candidates are.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

CircleCI

NOVEMBER 10, 2022

Coined by Belgian engineer Patrick Debois around 2007, DevOps came in response to growing dysfunction in software development and delivery teams. Concerns arose from software development and IT operations leadership about working in silos and its effect on software delivery scheduling and quality. Focus on the essentials first.

DevOps 52

DevOps Enterprise Software Review Weak Development Team 52

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. Leadership and management also showed very strong growth (38%). What does this tell us?

Trends 134

Trends Technical Review Technology Software Review 134

Lacework

SEPTEMBER 18, 2023

" — Tony Parrillo, Schneider Electric VP Global Head of Enterprise IT Cybersecurity Figure out what metrics your counterparts in the organization are using. Ask: to what metrics will this role be held accountable? Take these metrics and start to parse them. Start metrics for reporting to the board. Speed to deploy?

Security 82

Security Software Review CTO Systems Review 82

O'Reilly Media - Ideas

MAY 14, 2020

data platform, metrics, ML/AI research, and applied ML). Lack of alignment on a coherent overall data strategy, a focus on technology over impact, an inability to embrace an iterative, experimentational development cycle and lack of leadership support are among the many reasons AI projects falter. Avinash Kaushik’s Web Analytics 2.0

Product Management 145

Product Management UI/UX Artificial Inteligence Machine Learning 145

LeanEssays

JULY 14, 2019

As the company outgrew its traditional cathedral-style software architecture in the early 2000’s, the leadership team felt that the growing pains could be addressed with better communication between teams. Extreme Programming [19] contained the roots of technical disciplines such as continuous integration and automated testing.

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91