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Archive aims to put clothing brands in control of their secondhand sales

TechCrunch

It turns out the fashion industry is quite a wasteful industry, contributing an estimated 13 million tons of textile to landfills per year. They designed Archive to be a kind of a peer-to-peer, white-labeled product that brands could release that had the same look and feel of their existing retail channels, Rowe, CTO, said.

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Transforming IT for digital success

CIO

Instead, it’s about transforming how IT itself works, scales, and evolves so that it can keep pace with the continuous transformation that the technology organization is expected to deliver to the broader enterprise. Strategies to transform IT for digital success include the following.

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Software project management challenges — and how to handle them

CIO

Most technology projects fail because they lack concrete key performance indicators (KPIs) , Mahajan says. “I I categorize project metrics mainly into two buckets, one that monitors project execution and the other that measures business outcome,” she says. What we can’t measure we can’t improve.

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So you’re a new CISO? Let’s navigate your first 90 days

Lacework

It also has to be done in an automated fashion — spreadsheets were never a good method. Ask: to what metrics will this role be held accountable? Take these metrics and start to parse them. Set some starting metrics to follow around response times, remediation times, number of requests, exceptions, and so on. Clean code?

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Extra Crunch roundup: ‘Nightmare’ security breach, Poshmark’s IPO, crypto boom, more

TechCrunch

Alex Wilhelm keeps a close watch on the public markets in his column The Exchange, but this week, he branched out to look at some of the metrics underpinning soaring cryptocurrency prices and turned his gaze on StockX , the consumer reseller marketplace that just raised $275 million in a Series E that values the company at approximately $2.8

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Software Architecture Interview with João Rosa

Apiumhub

What are the key software architecture metrics ? I use the four metrics that predict the software delivery & operational performance: (1) lead time for changes, (2) deployment frequency, (3) time to restore service, (4) change failure rate. On a more granular level, cohesion and coupling metrics are important.

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Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Pillar 2 – Instrumentation plane: Business metrics.