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Bringing Software Engineering Rigor to Data

DZone

In software engineering, we've learned that building robust and stable applications has a direct correlation with overall organization performance. The data community is striving to incorporate the core concepts of engineering rigor found in software communities but still has further to go. Posted with permission.

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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

Platform engineering creates and manages a shared infrastructure and set of tools, such as internal developer platforms (IDPs) , to enable software developers to build, deploy, and operate applications more efficiently. Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events.

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Extend the AI and automation core of Dynatrace with host extensions to resolve infrastructure problems

Dynatrace

OneAgent gives you all the operational and business performance metrics you need, from the front end to the back end and everything in between—cloud instances, hosts, network health, processes, and services. But what if a particular metric is crucial for your monitoring needs and it isn’t there? What’s next.

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What is platform engineering?

Dynatrace

Platform engineering is a practice that outlines how development teams build internal platforms to create self-service capabilities for software engineering teams. The result is a cloud-native approach to software delivery. Platform engineering cannot stand alone, however.

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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. Open source logs and metrics take precedence in the monitoring process.

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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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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

As a result, site reliability has emerged as a critical success metric for many organizations. Site reliability engineering (SRE) has recently become a critical discipline in recent years as the world has shifted in favor of web-based interactions. However, cloud complexity has made software delivery challenging. availability.