BT

InfoQ Software Architects' Newsletter

A monthly overview of things you need to know as an architect or aspiring architect.

View an example

We protect your privacy.

Facilitating the Spread of Knowledge and Innovation in Professional Software Development

Write for InfoQ

Register Sign in

Unlock the full InfoQ experience

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources.

Log In

or

Don't have an InfoQ account?

Stay updated on topics and peers that matter to youReceive instant alerts on the latest insights and trends.
Quickly access free resources for continuous learningMinibooks, videos with transcripts, and training materials.
Save articles and read at anytimeBookmark articles to read whenever youre ready.

Logo - Back to homepage

News Articles Presentations Podcasts Guides

Topics

Featured in Development

Go Channels: Understanding Happens-Before for Safe Concurrency

This article dives into the happens-before semantics of Go channels, explaining how they relate to memory visibility, synchronization, and concurrency correctness. We'll examine subtle pitfalls, illustrate them with examples, and explore the architectural implications for system designers.

Go Channels: Understanding Happens-Before for Safe Concurrency

All in development

Architecture & Design

Featured in Architecture & Design

Building Resilient Platforms: Insights from Over Twenty Years in Mission-Critical Infrastructure

Building resilient platforms requires understanding the art and science of creating infrastructure that others depend on for critical applications. This perspective applies to anyone who builds software consumed by others at scale. Whether developing infrastructure platforms, software development platforms, or messaging systems, principles address how to build software that others consume at scale

Building Resilient Platforms: Insights from Over Twenty Years in Mission-Critical Infrastructure

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Growing and Cultivating Strong Machine Learning Engineers

Vivek Gupta shares best practices for managing and mentoring ML engineers, from early-career development to senior leadership growth. He breaks down the crucial, distinct skills for Production Machine Learning, including data/model management, building training pipelines, LLM prompt evaluation, privacy/security, and integrating human-in-the-loop processes for reliable, scalable AI systems.

Growing and Cultivating Strong Machine Learning Engineers

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Shine Bright as an IC: Growing Yourself as Your Company Grows

Suhail Patel discusses how senior engineers and tech leaders must go beyond technical mastery to achieve staff-plus growth. He explains how to leverage one-to-ones, intentional interviewing (as learning opportunities), and visible writing to build influence and your network. Get practical advice on making ambitious bets and fixing organizational cracks to grow your team and company.

Shine Bright as an IC: Growing Yourself as Your Company Grows

All in culture-methods

Featured in DevOps

You Are Asking the Wrong Questions (about Reliability and SRE)

David Blank-Edelman (Microsoft SRE Academy) explains seven essential questions to elevate your reliability practice. He challenges engineering leaders to redefine reliability metrics beyond availability, replace "root cause" with contributing factors, critique the five whys, re-evaluate the true goals of toil automation, and understand SRE's role (firefighting vs. partnership).

You Are Asking the Wrong Questions (about Reliability and SRE)

Events

Helpful links

Choose your language

QCon San Francisco 2025

Get production-proven patterns from the leaders who scaled a GenAI search platform to millions, migrated a core ML system without downtime, and architected a global streaming service from the ground up.

Early Bird ends Nov 11.

QCon AI New York 2025

Move beyond AI demos to real engineering impact. Discover how teams embed LLMs, govern models, and scale inference pipelines to accelerate development securely.

Early Bird ends Nov 11.

QCon London 2026

Benchmark your systems against leading engineering teams. See what really works in FinOps, modern Java, and distributed data architectures to balance cost, scale, and reliability.

Early Bird ends Nov 11.

InfoQ Homepage Presentations Deep Learning for Application Performance Optimization

AI, ML & Data Engineering

Deep Learning for Application Performance Optimization

Reading list

View Presentation

Speed:

Download

41:12

Summary

Zoran Sevarac presents his experience and best practice for autonomous, continuous application performance tuning using deep learning. He explains how to build deep learning models in order to model the application performance for various configuration settings.

Bio

Zoran Sevarac works at AI Lab at University of Belgrade, and he is CEO of deep learning startup Deep Netts. He is a founder of popular open source educational neural network software Neuroph, which has won prestigious Duke Choice Award. He is a member of Java Champions program and JCP Expert group for visual recognition.

About the conference

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

Recorded at:

Aug 22, 2018

by

Zoran Sevarac

This content is in the AI, ML & Data Engineering topic

Related Topics:

Sponsored Content

BT