How Norsk Tipping uses feature flags to govern their deployments
Norsk Tipping is Norway’s state-owned gaming operator, running 2,500 to 3,000 production releases a year across iOS, Android, web and backend systems. Like every regulated organisation at scale, the platform team has to hold two things in tension: maintain strict deployment controls that stand up to audit, and keep the path to production open so that 100 engineers can ship safely. The mechanism that holds the line is the Admission Control System (ACS) - a reusable pipeline that every team uses, and the only pipeline allowed to deploy to a Norsk Tipping environment.
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FEATURES
How Norsk Tipping uses feature flags to govern their deployments
Norsk Tipping is Norway’s state-owned gaming operator, running 2,500 to 3,000 production releases a year across iOS, Android, web and backend systems. Like every regulated organisation at scale, …
Snyk vulnerability compliance with kosli evaluate trail
Kosli recently released kosli evaluate trail, a command that evaluates selected attestations in a Kosli trail against a Rego policy file. We used it to build a complete and useful solution for …
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NEWS
Kosli and Adaptavist Partner to Automate Governance for AI driven Software Delivery
Today, Kosli and Adaptavist announce a strategic partnership to help regulated enterprises automate governance for AI driven software delivery - making it automated, continuous, and evidence-driven …
Kosli and Team Topologies - A Strategic Partnership for SDLC Governance
We’re delighted to announce a strategic partnership between Kosli and TeamTopologies - a collaboration that brings together SDLC Governance automation with the world’s leading framework …
Enhanced Environment Compliance with Environment Policies
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TECHNOLOGY
How Norsk Tipping uses feature flags to govern their deployments
Norsk Tipping is Norway’s state-owned gaming operator, running 2,500 to 3,000 production releases a year across iOS, Android, web and backend systems. Like every regulated organisation at scale, …
Diff-erent Perspectives: How Specialized LLM Personas Catch More Bugs
We’ve built a multi-LLM PR reviewer that runs on every pull request in a couple of our own repos. Two independent models look at each change in parallel, each wearing a set of “persona …
Governing AI Generated Code - A Hands-On Experiment with Entire and Kosli
Can you create an audit trail for what your AI agent actually did, and enforce rules about what it was allowed to do? Here’s what I found after spending a session wiring the two tools together. …