Erik Bernhardsson

MAY 1, 2018

So we can choose to spend one hour on system design, one hour on algorithms, etc. System design. I like system design questions (“how would you build this feature”). Same goes with open source contributions, blog posts, or other things. Algorithms. Github portfolio. Actual job performance.

Software Review 212

Software Review Systems Review Performance Testing 212

Erik Bernhardsson

MAY 1, 2018

So we can choose to spend one hour on system design, one hour on algorithms, etc. System design. I like system design questions (“how would you build this feature”). Same goes with open source contributions, blog posts, or other things. Algorithms. Github portfolio. Actual job performance.

Software Review 100

Software Review Systems Review Performance Testing 100

LeanEssays

AUGUST 19, 2015

Amazon built its cloud with the same philosophy – they knew that at the scale they intended to pursue, everything would fail sooner rather than later, so automated failure detection and recovery had to be designed into the system. Want to analyze a lot of data? You will undoubtedly consider Hadoop, originally developed at Yahoo!

Software Review 71

Software Review Weak Development Team Government Banking 71

CTOvision

FEBRUARY 4, 2015

Dr. Daniel Duffy is head of the NASA Center for Climate Simulation (NCCS, Code 606.2), which provides high performance computing, storage, networking, and data systems designed to meet the specialized needs of the Earth science modeling communities. High Performance Computing Lead, NASA Center for Climate Simulation (NCCS).

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CTOvision

JANUARY 18, 2015

Dr. Daniel Duffy is head of the NASA Center for Climate Simulation (NCCS, Code 606.2), which provides high performance computing, storage, networking, and data systems designed to meet the specialized needs of the Earth science modeling communities. High Performance Computing Lead, NASA Center for Climate Simulation (NCCS).

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

LeanEssays

JULY 14, 2019

I then make a sustained argument from the Linux experience for the proposition that “Given enough eyeballs, all bugs are shallow”, suggest productive analogies with other self-correcting systems of selfish agents, and conclude with some exploration of the implications of this insight for the future of software.

Software Review 91

Software Review Software Engineering Weak Development Team Continuous Delivery 91