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Development

Featured in Development

Beyond the Breach: Proactive Defense in the Age of Advanced Threats

Michael Brunton-Spall discusses some of the most advanced attacks that are in the public domain, mostly attributed in public by commercial organizations.

All in development

Architecture & Design

Featured in Architecture & Design

Improving Developer Experience Using Automated Data CI/CD Pipelines

Noémi Ványi, Simona Pencea discuss a code and data branching strategy that basically allows your data to follow your code.

All in architecture-design

AI, ML & Data Engineering

Featured in AI, ML & Data Engineering

Efficient Resource Management with Small Language Models (SLMs) in Edge Computing

Small Language Models (SLMs) bring AI inference to the edge without overwhelming the resource-constrained devices. In this article, author Suruchi Shah dives into how SLMs can be used in edge computing applications for learning and adapting to patterns in real-time, reducing the computational burden and making edge devices smarter.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Monorepos: Beyond the Technicalities

Tiago Bento analyzes software development workflows without ignoring the human factor and the status quo (most likely a poly-repo setting).

All in culture-methods

DevOps

Featured in DevOps

Proactive Approaches to Securing Linux Systems and Engineering Applications

Maintaining a strong security posture is challenging, especially with Linux. An effective approach is proactive and includes patch management, optimized resource allocation, and effective alerting.

All in devops

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DevOps

Performance Monitoring Back-End and Front-End Using Micrometer

Clint Checketts reviews the basics of recording metrics with Micrometer.as well as gives an intro to the Prometheus and Grafana backends and dashboarding.

Clint Checketts
on Mar 11, 2020

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56:19
DevOps

Real-Time Performance Analysis of Data-Processing Pipelines with Spring Cloud Data Flow, Micrometer

Christian Tzolov and Sabby Anandan demonstrate how to consistently produce structured metrics to Prometheus, and how to visualize them with dashboards such as Grafana.

Christian Tzolov Sabby Anandan
on Mar 04, 2020

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01:11:54
Architecture & Design

Using Metrics to Ensure Quality Applications in Pivotal Platform

Tom Martin and Sam Reed show how to set up automatic service discovery with Eureka, some auto scaling problems of microservices, and how to configure Prometheus and Grafana to gather and show metrics.

Tom Martin Sam Reed
on Dec 11, 2019

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46:36

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