@slack-engineering
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Over the past few years, we’ve been on a journey to modernise how we run Amazon Elastic Compute Cloud (EC2) instances at Slack. In our first post, Advancing Our Chef Infrastructure, we shared how we moved from a single Chef stack to a resilient, multi-stack setup with versioned cookbook deploymen...
Abstract Agent-driven end-to-end (E2E) tests add a new exploratory layer to testing, but should they replace traditional deterministic tests? We ran more than 200 agentic E2E workflows using the Playwright MCP, Playwright CLI, and agent-generated Playwright tests in test workspaces using non-prod...
In early 2023, Slack faced a foundational challenge: serving Large Language Models (LLMs) at enterprise scale with the security, reliability, and performance our customers expect. Over three years, we evolved from basic infrastructure to orchestrating a sophisticated multi-cloud architecture. We...
Excerpt By 2024, Slack’s data platform had accumulated 700+ SSH-based operators orchestrating critical data pipelines. We’re talking daily search indexing that processed terabytes of data, analytics jobs powering business intelligence, the whole shebang. Every single one of these jobs required di...
Excerpt In complex, long-running agentic systems, maintaining alignment and coherent reasoning between agents requires careful design. In this second article of our series, we explore these challenges and the mechanisms we built to keep teams of agents working productively over long time spans. W...
At Slack, we recently unified fragmented probing into a standardized system that improves reliability, simplifies operations, and enables better measurement of network performance at scale.
How Slack rebuilt its notification system from the ground up by designing for clarity and calm to reduce noise
We built an agentic security investigation service to help us research alerts as part of our mission to keep Slack secure and protect our customers. Our service deploys teams of AI agents that collaboratively perform security investigations. AI agents free human analysts from tedious data gatheri...
Background A Voluntary Product Accessibility Template (VPAT) is a document that outlines how well a product aligns with accessibility (a11y) standards. Its primary purpose is to inform customers about a product’s a11y features, enabling them to make informed decisions before purchasing software....
