Zum Hauptinhalt springen
Sicherheitslücken (CVE)Critical RCE vulnerabilities in PHP (CVE-2026-109618, CVE-2026-109619)(21.10.2026 um 17:18 Uhr)
•
IT Security NachrichtenThe Current Landscape of OAuth Attacks(22.10.2026 um 19:00 Uhr)
••
IT Security NachrichtenCapcom discloses data breach affecting 11.7 million accounts worldwide(22.10.2026 um 19:32 Uhr)
••
IT Security NachrichtenMeta muss 25 Milliarden Dollar nach Gerichtsurteil zu Datenschutz zahlen(22.10.2026 um 19:07 Uhr)
•
IT Security NachrichtenBrinkhaus fordert mehr Investitionen in Cybersicherheit - Hasepost(22.10.2026 um 17:55 Uhr)
••••
Sicherheitslücken (CVE)Critical RCE vulnerabilities in PHP (CVE-2026-109618, CVE-2026-109619)(21.10.2026 um 17:18 Uhr)
•
IT Security NachrichtenThe Current Landscape of OAuth Attacks(22.10.2026 um 19:00 Uhr)
••
IT Security NachrichtenCapcom discloses data breach affecting 11.7 million accounts worldwide(22.10.2026 um 19:32 Uhr)
••
IT Security NachrichtenMeta muss 25 Milliarden Dollar nach Gerichtsurteil zu Datenschutz zahlen(22.10.2026 um 19:07 Uhr)
•
IT Security NachrichtenBrinkhaus fordert mehr Investitionen in Cybersicherheit - Hasepost(22.10.2026 um 17:55 Uhr)
••••
Intelligence View
⚡ tsecurity.de Intelligence

Microsoft Developer: Code with Cosmos: Operating AI Agents in Production

Video von Microsoft Developer auf YouTube: How do you take an AI agent from a working demo to a production-ready system? Marko Hotti and Madeline Egan walk…

HD Video
Code with Cosmos: Operating AI Agents in Production
Video abspielen
Beitrag
0
Seite
0
↗ Quelle (Microsoft Developer)
Social ReaktionenReagiere als Erste:r — dein Feedback zählt!

YouTube Video

How do you take an AI agent from a working demo to a production-ready system? Marko Hotti and Madeline Egan walk through a practical framework to observe, evaluate, and optimize AI agents with Azure Cosmos DB. Explore the full repo: https://aka.ms/cosmos-travel-planner Watch the full series: https://aka.ms/CodeWithCosmosPlaylist



Learn how traces, evaluation suites, regression testing, and before-and-after metrics can help improve retrieval, latency, token usage, memory efficiency, and Azure Cosmos DB request unit consumption across the data, retrieval, memory, and LLM layers.



💻 GitHub repo: https://aka.ms/cosmos-travel-planner

▶️ Watch the full series: https://aka.ms/CodeWithCosmosPlaylist

Try Azure Cosmos DB for free: https://aka.ms/trycosmosfree
Intelligence Digest — free The top security news daily · unsubscribe anytime
Community Rating & Social Proof
⭐ Leser-Wertung
–
Ø / 5.0
No reader ratings yet
Was this page helpful?
0
Jetzt Bewertung abgeben
🟢 Niedrig (1-3.9) 🟡 Mittel (4.0-6.9) 🔴 Hoch (7.0-8.9) Kritisch (9.0-10.0)

Related story clusters & sources (vector AI)

Pull to refresh
Nächster Beitrag