AI Briefing#datadog
The latest AI and developer news about #datadog, with the original source and a short summary.
The latest AI and developer news about #datadog, with the original source and a short summary.
In 526 investigations over 7 weeks, 77% of root causes were identified, reducing engineers' MTTR.
Datadog fine-tuned Qwen3.5-9B using GLM-5.3 investigation traces, reducing investigation costs by 1/20 while maintaining 87% performance.
Vercel has added support for sending Audit Log Drains to Datadog, Splunk, and Panther.
LotteON leveraged AI and Amazon Connect to automate incident response during nights and holidays.
Datadog announced Toto-2.0, a new time-series forecasting model capable of parallel processing and highly scalable.
This introduces how AWS DevOps Agent automates bottleneck identification and report writing after performance testing.
Datadog released Toto 2.0, ranging from 4m to 2.5B parameters, demonstrating clear scaling effects.
AIOps Agent autonomously combines 7+ tools to cut incident analysis time by 93%.
Yogiyo was integrated into ChatGPT as an order-oriented UI using MCP and Apps SDK widgets.
Datadog has adopted OpenAI's **Codex** to perform code reviews that grasp full system context, strengthening its ability to prevent outages.
A 4-person, 12-MSA team built role separation and Context standardization using Claude AI.
Oliveyoung built an API test automation system to solve data inconsistency issues caused by the transition to a real-time message-based system.
Olive Young adopted Datadog to improve monitoring across 3,500 POS systems nationwide, cutting incident response time by 76%.
Incidents are handled with rapid recovery as the top priority, supported by a tiering, logging, and retrospective system.
By monitoring the success rate of 100+ financial company APIs and using automated alerts, the rate was raised from 90% to 99%.
Devsisters shared their case of using Datadog to ensure the stability of their game services and improve monitoring efficiency.
Olive Young built a real-time monitoring system by integrating infrastructure metrics and business data using Datadog.
Oliveyoung drew attention by presenting a business case study on its use of Datadog at the global tech conference DASH2024.
The Oliveyoung Order/Payment Squad introduces the monitoring and verification system they adopted to overcome the massive traffic during Oliveyoung Sale periods.
This introduces the organizational structure, tech stack, and working methods of Inflearn's Web Frontend Part.
Introduces the technology stack transition process and the collaboration and development culture of Inflab's backend team.
The Oliveyoung QA team shares how they use Datadog's log and RUM features to manage service quality.
At AWS re:Invent 2023, I experienced Amazon Q's innovative features and a variety of technical sessions on-site.
Oliveyoung introduced a dedicated pickup-only cart tab to improve customer accessibility, along with improvements to UI/UX and rendering.