engineering

High-Availability Feature Flagging at Databricks

Shipping software quickly while maintaining reliability is a constant tension. As...

Stop Stuffing Prompts: How Asana Made Agents More Effective Through Context Engineering

This article delves into the techniques Asana implemented to enhance the effectiveness of AI agents through context engineering, improving user interactions and overall performance.

When protections outlive their purpose: A lesson on managing defense systems at scale

User feedback led us to clean up outdated mitigations. See why observability and lifecycle management are critical for defense systems. The post When protections outlive their purpose: A lesson on man...

Open Sourcing Dicer: Databricks’ Auto-Sharder

1. AnnouncementToday, we are excited to announce the open sourcing of one of our...

PinLanding: Turn Billions of Products into Instant Shopping Collections with Multimodal AI

All brains on deck: 10 best practices for knowledge-sharing

This article discusses the importance of knowledge-sharing within teams and provides ten best practices to enhance collaboration and execution.

Organize the chaos: 5 key steps in the change management cycle

Learn about the structured approach to change management with five essential steps that ensure effective planning and participation.

How to implement goal refresh cycles on your team

Learn five effective steps to transition from annual goal setting to a more dynamic quarterly refresh cycle, aimed at improving team performance and adaptability.

How to make space for AI experimentation on your team

This article discusses the importance of allowing teams to experiment with AI, highlighting how dedicated time for AI exploration can enhance productivity and innovation.

How to make work visible and improve alignment (with or without AI)

This article explores strategies for enhancing visibility and alignment within teams, emphasizing the importance of tracking goals and managing competing priorities effectively.

The 5 commandments of information discoverability

This article outlines essential principles for improving information discoverability within teams, ensuring that critical knowledge is easily accessible and usable.

The SRE’s Crystal Ball: Predicting System Performance with Queues and USL

This article provides insights into using Queueing Theory to predict system performance, empowering SREs to adopt a proactive approach to troubleshooting.

Breaking the Monolith: Our Journey From Proto To Federated GraphQL at Scale

This article shares a real-world journey of modernizing a tech stack with GraphQL, focusing on schema design, team collaboration, and scaling challenges.

Inside Asana Warsaw: Building Data, Culture, and Customer Impact

This article provides insights into how the Asana Warsaw team is shaping data practices, fostering a strong culture, and enhancing customer impact through engineering excellence.

Inside Asana's 4-Week Engineering Onboarding: An Intern's View

This article provides insights into Asana's engineering onboarding process from an intern's perspective, detailing the structure and learning experiences that prepare new engineers for success.

Scaling Stateful Backend Processes at Asana: Sync Server Process Warming

Explore the strategies Asana employed to scale its backend processes, focusing on sync server process warming to enhance performance and reliability in their systems.