Find published dossiers by topic, company, product or technology.

Showing 1–20 of 58 dossiers

ChatGPT Ads expands self-service globally as targeting, measurement and campaign tooling deepen

ChatGPT Ads is moving from beta inventory toward a global performance-ad stack. OpenAI has expanded self-service buying and says optimized bidding is now the majority of campaigns, while new audience, measurement and workflow controls increase both scale and attribution complexity.

Railway makes MySQL automatic failover generally available with Group Replication and HAProxy

Railway’s managed MySQL path can now gain automatic failover without rebuilding the database elsewhere. The trade-off is real operational complexity: conversion briefly drops connections, hard-coded URLs need manual repair, replicas are for failover rather than read scaling, and each extra database/proxy node consumes billable resources.

incident.io has made autonomous incident investigations generally available

Investigations has crossed from preview into a production product inside incident.io. The agent continuously reassesses evidence, posts hypotheses into the incident channel and can hand remediation work to coding agents, but its accuracy and MTTR claims remain vendor-reported.

Amazon joins YouTube Shopping so creators can tag products instead of relying on description links

The integration brings Amazon’s catalog into YouTube’s native shopping layer. It reduces the gap between product recommendation and purchase compared with description links, but access currently requires both YouTube and Amazon affiliate eligibility and is still limited to a select group of creators.

LinkedIn Ads API adds a 1,000-segment audience cap as Legacy Geo shuts down August 31

Audience-management systems can now fail with `SEGMENT_LIMIT_EXCEEDED`, while old geography identifiers begin returning invalid-field errors after August 31. LinkedIn also opened the Matched Audiences API to applications from qualified developers, increasing the importance of handling these limits correctly.

Google is adding hard spend caps and commitment pricing for AI agent workloads

Google’s new agent FinOps model combines hard monthly spend caps that pause agent API calls, Flexible Savings Plans with one- or three-year commitments, pay-as-you-go Gemini Enterprise usage and planned deferred execution at up to half normal inference cost. The controls are useful, but commitment economics and task eligibility need to be modeled carefully.