Scaling Experimentation to 20 Billion Users
Discover insights on scaling experimentation to billions of users, learn best practices, and explore lessons from Statsig's rapid growth in product analytics and decision-making.
Extinguishing the Garbage Fire of ML Testing - Improving Reliability and Quality in Machine Learning
Explore innovative ML testing strategies, focusing on observability, data reliability, and honoring Data Scientists' workflows to improve quality and efficiency in ML development.
Writing Unit Tests for Data Science Code
Discover software engineering best practices for testing data science code, including mocking data and handling complex scenarios in machine learning projects.
Query Folding in Power Query: Importance for Performance
Discover query folding's importance for Power Query performance and learn factors that can hinder its effectiveness.
Breaking Out of the Habit of Bulk Loading Everything - Lessons from Streaming Data Integration
Explore transitioning from bulk loading to streaming data integration, leveraging Azure services for real-time analytics and long-term storage in data warehousing.
Optimizing DAX Fusion in Power BI
Dive deep into Power BI's DAX engine and learn advanced techniques to optimize DAX fusion for enhanced performance and efficiency.
An Imposter's Guide to Growth in Engineering
Overcome imposter syndrome and leverage it for growth in engineering with practical strategies for mid to upper level professionals.
Forging Your Path to Senior Developer
Discover strategies to advance from mid-level to senior developer, gaining insights on skill development and career progression in software engineering.
Breaking the Grind: Crafting Your Ideal Software Engineering Career
Explore software engineering career paths through RPG-style skill trees. Unlock new abilities, level up existing ones, and discover diverse routes to advance your professional journey.
Leveling Up from Planning to Production
Explore tools and strategies for senior engineers to manage complex projects, from inception to delivery, enhancing productivity and leadership skills.
A Look at Trust, Time, and Teams in Software Engineering
Explore trust in engineering, its psychology, and relationship to time. Learn to create better trust rituals by reframing goals for improved team dynamics.
More Engineers, More Problems: Solutions for Big Teams
Explore solutions for scaling engineering teams, addressing challenges, and optimizing productivity in large-scale Rails projects.
Meditations on Software - Reflections on Career, Burnout, and Growth
Explore software development insights, addressing burnout, imposter syndrome, and career growth. Gain strategies for work-life balance and professional fulfillment in tech.
A Tech Görl Origin Story
Explore a tech professional's journey through personal anecdotes and insights, gaining inspiration for your own career path in the industry.
Building Stream Processing Applications with Ruby and Meroxa - RubyConf 2022
Explore real-time stream processing using Ruby and the Turbine framework. Learn to build and deploy sophisticated applications without complex tooling or unfamiliar paradigms.
Leadership Strategies for Scaling Startups
Explore leadership insights from Suzan Bond, former COO of Travis CI, as she shares her expertise on scaling startups and effective leadership in tech.
Leveraging Diverse Backgrounds in Software Development
Explore connections between software development and diverse experiences like translation, snowboarding, and drumming. Leverage your unique background to enhance coding skills and perspective.
Staff Engineer: Here Be Dragons - Demystifying Leadership Beyond Management
Demystify the role of Staff Engineer and explore leadership beyond the management track in software engineering.
The Blueprint to a Finished Project - Incremental Development in Ember
Discover strategies for completing web projects through incremental development, turning ideas into finished products.
Data Enrichment Patterns with Apache Flink
Explore common data enrichment patterns for streaming data using Apache Flink. Learn implementation techniques for static, API-based, and change data stream scenarios, with insights into Flink's state management.
Optimal Approaches for Real-Time Machine Learning with Apache Spark on Kubernetes
Explore optimal approaches for real-time machine learning using Apache Spark on Kubernetes, covering best practices for efficient model training, deployment, and serving in low-latency, high-scalability environments.