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Development

Featured in Development

Blazing Fast, Minimal Change - Speed Up Your Code by Refactoring to Rust

Lily Mara takes an existing codebase and rewrites part of it in Rust, focusing on writing a Rust reimplementation, cross-language regression testing, performance benchmarking of the new code.

All in development

Architecture & Design

Featured in Architecture & Design

A Simple Framework for Architectural Decisions

This article describes a framework for making architectural decisions using three building blocks: The company's own Technology Radar; Technology Standards; and Architecture Decision Records (ADRs). The framework clarifies decision-making, team involvement, and information on already made decisions and aligns with the company's needs and culture.

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AI, ML & Data Engineering

Featured in AI, ML & Data Engineering

Orchestrating Hybrid Workflows with Apache Airflow

Ricardo Sueiras discusses how to leverage Apache Airflow to orchestrate a workflow using data sources inside and outside the cloud.

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Culture & Methods

Featured in Culture & Methods

How Visual Thinking Can Help Teams Get Clarity, Be More Creative, and Have More Inclusive Meetings

Visual thinking is a way of making sense of the world through images, putting thoughts into pictures. This article is here to help you understand about visual thinking, and how you could use it to support yourself, your teams to create a more inclusive, creative and collaborative culture at work.

All in culture-methods

DevOps

Featured in DevOps

Improving CI/CD Pipelines Through Observability

CI/CD pipelines are a vital addition to any workflow but they can be further improved by the selective addition of observability. This article covers what data to monitor, which metrics to track, and how to best visualize the collected data.

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DevOps

Is Artificial Intelligence Taking over DevOps?

AI tools are slowly replacing the role of the developer – just as DevOps did before – and will eventually supplant DevOps entirely. Assessing whether that prediction is true is tricky. In this article, we’ll look at what AI promises for the development process, assess whether it can really ever take over from human developers, and what DevOps is likely to look like in a decades’ time.

Sam Bocetta
on Oct 08, 2021
DevOps

AIOps Strategies for Augmenting Your IT Operations

AIOps techniques can be used to decrease the workload on IT Operations teams while also improving outage resolution time and increasing innovation. In implementing AIOps strategies it is important to start small and have measurable KPIs to track progress and performance.

Yoram Pollack
on Aug 18, 2021
DevOps

Instrumenting the Network for Successful AIOps

AIOps platforms empower IT teams to quickly find the root issues that originate in the network and disrupt running applications. AI/ML algorithms need access to high quality network data to determine what went wrong and where. Network visibility starts from TAPs around network equipment, and teams can add application instrumentation and logs as data sources for complete insights.

Ron Nevo
on Nov 23, 2020

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