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Speaker

İren Saltalı

İren Saltalı

Staff Software Engineer at Edge Delta

Ankara, Turkey

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İren Saltalı is a Staff Software Engineer at Edge Delta, bringing over a decade of experience in software engineering and cloud architecture. With a Master's in Computer Engineering, İren has contributed to various tech companies, including roles as CTO and consultant. He has a passion for cloud technologies, microservices, and large-scale data systems.

An AWS Certified Solutions Architect and Community Builder, İren enjoys tackling complex technical challenges and sharing knowledge. He has co-founded tech startups and actively volunteers in the Cloud and Serverless Turkey community.

Area of Expertise

  • Information & Communications Technology
  • Region & Country

Topics

  • Serverless
  • AWS Serverless
  • Serverless computing
  • Cloud
  • Cloud Computing
  • Cloud Architecture
  • AWS
  • API Gateway
  • REST API
  • Apache Flink
  • Apache Kafka
  • Big Data
  • Generative AI

Explaining the Unexpected: Real-time Anomaly Detection with AWS Flink and AI-Powered Interpretation

Showing how AWS Managed Service for Apache Flink can process real-time operational data streams leveraging stateful processing, windowing, and pattern matching to detect complex anomalies, performance deviations, or unusual events. When an anomaly is detected, relevant context gathered by Flink is packaged and sent to an AI service (like AWS Bedrock, or another AI/ML model) to generate a natural language explanation, interpretation, or summary of what happened and why it might be significant. This transforms cryptic alerts into actionable insights, making it easier for operators, business users, or developers to understand unexpected situations.
Level: 200

Target Audience: Data Engineers, ML Engineers, SREs, DevOps, Business Analysts interested in proactive monitoring. Technical Level: Intermediate/Advanced. Preferred Duration: 40-50 minutes. Requires familiarity with streaming analytics, basic anomaly detection concepts, and understanding how to interact with AI/ML APIs. Key Takeaway: Learn how to build systems that not only detect issues in real-time but also automatically explain them using AI, improving incident response and understanding.

Beyond Traditional Gateways: Serverless API Management with an Open-Source Edge Solution

Discover Serverless API Gateway, an open-source project built on Cloudflare Workers for modern API management. Break free from traditional gateway complexities and costs by leveraging the edge. This talk will show you how to deploy a high-performance, scalable, and cost-effective API gateway with core features like advanced routing, security (JWT, CORS), and simple configuration. Learn how this serverless, edge-native approach can streamline your API infrastructure.

What you will learn: Key benefits of edge API gateways, core features (routing, security), and how to get started with the open-source Serverless API Gateway.

Level: 100

Target Audience: Developers, Architects (Intermediate).
Duration: 30-45 minutes (incl. Q&A).
Format: Talk & Demo preferred.
Technical Needs: Reliable internet connection required for demo.
Notes: First public presentation of this talk. Speaker is the project creator.

İren Saltalı

Staff Software Engineer at Edge Delta

Ankara, Turkey

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