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Software engineering for machine learning: a case study

The Morning Paper

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19.

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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. They shouldn’t worry about the platform; they should just start writing code.” “That means making it available, resilient, and secure,” Grabner said. “It makes them more productive.

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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Monitoring-as-code can also be configured in GitOps fashion.

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Auto-adaptive thresholds for AI-driven quality gating

Dynatrace

Build an umbrella for Development and Operations In modern software engineering, the discipline of platform engineering delivers DevSecOps practices to developers to bridge the gaps between development, security, and operations and enhance the developer experience.

Metrics 236
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SRE vs DevOps: What you need to know

Dynatrace

SRE is the transformation of traditional operations practices by using software engineering and DevOps principles to improve the availability, performance, and scalability of releases by building resiliency into apps and infrastructure. Aim to achieve better velocity through the software delivery pipeline. SRE vs DevOps?

DevOps 191
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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

mainly because of mundane reasons related to software engineering. A key observation was that most of our data scientists had nothing against writing Python code. Data scientists want to retain their freedom to use arbitrary, idiomatic Python code to express their business logic?—?like

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Site reliability engineering: 5 things you need to know

Dynatrace

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Shift-left using an SRE approach means that reliability is baked into each process, app and code change.