Do you know the architecture of TensorFlow and its components? Are you aware of the working of TensorFlow architecture? If not, then deep dive into this article, which explains the complete architecture of TensorFlow and its working.

According to Devada’s “2019 State of the Developer Report,” 66% of developers find that maintaining and “paying for” technical debt associated with outdated technology is bad for their productivity at work. This is why it’s no surprise that 64% of businesses list the need to upgrade outdated infrastructure as the top reason for increasing their IT budgets in 2020. Introducing MACH — the microservices-enabled, API-first, cloud-native, headless technology of the future — and what businesses need to know to remain relevant.   Microservices Microservices architecture consists of a collection of small services that are used to build an application. API-First API-first means that the application was built from the ground up with APIs and revolves around delivering content to omnichannel devices and client applications. Cloud-Native SaaS Software-as-a-Service (SaaS) leverages the full capabilities of the cloud. Beyond storage and hosting, that includes elastic scaling of highly-available resources. Headless With headless software, front-end presentation is completely decoupled from back-end logic.

A walk through of how Segment built an automated outbound system that has higher open, response and conversion rates than those sent by humans. This system now accounts for 22% of new sales opportunities and drives 10K in revenue per day.