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Saturday, November 15, 2025 - 10:00 AM to 1:00 PM IST
TechXConf , AI & Cloud Conference 2025 - Saturday, November 1, 2025
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AWS Student Community Day - Chennai 2025 - Sep 20th, 2025 8:00 AM to 5:00 PM
Online Events:
Going Beyond Basics: Custom Agent Development Without the Starter Toolkit – Mon, Sep 22, 2025 – 9:00 PM IST
Adding Memory: Building Context-Aware AI Agents in Bedrock AgentCore – – Mon, Oct 6, 2025 – 9:00 PM IST
Supercharging Agents with Built-in Tools: Code Interpreter & Browser in Action – Mon, Oct 20, 2025 – 9:00 PM IST
Integrating APIs and Services with AgentCore Gateway – Mon, Nov 3, 2025 – 9:00 PM IST
Production-Ready AI: Observability, Scaling, and Best Practices in AgentCore – Mon, Nov 17, 2025 – 9:00 PM IST
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Enjoy the 1 of 6 Session on Bedrock AgentCore
Getting Started with AWS Bedrock AgentCore - Runtime
Innovate
Amazon Aurora transformed traditional relational databases by rearchitecting them for the cloud — decoupling compute and storage, and embedding intelligence into storage. This shift enabled unmatched scalability, availability, and performance for mission-critical applications.
Recently Aurora Celebrated 10 Years at AWS Heroes Summit
My Understanding and Top 10 innovation
2014 – Aurora announced at AWS re:Invent
2015 – Decoupled Compute and Storage
→ Enables independent scaling of compute and storage, improving elasticity and availability.2015 – 6-Way Replicated Storage Across 3 AZs
→ Segmented storage with 6 replicas across 3 AZs ensures durability and fault tolerance.2015+ – Asynchronous Distributed Storage with Background Tasks
→ Offloads heavy storage tasks like backups and validation to background processes.2017 – "Redo Log is the Database" Architecture
→ Moves redo log processing to the storage layer, removing traditional WAL bottlenecks.2017 – Ultra-Fast Crash Recovery
→ Asynchronous redo application enables instant recovery without full database restart.2018 – Aurora Serverless v1 launched (My first reinvent)
2022 – Aurora Serverless and In-Place Scaling
→ Serverless v2 allows millisecond-level autoscaling with live migration and no downtime.2022 – Intelligent Load "Unbalancing" and Live Migration
→ Proactively redistributes workloads and migrates hot instances to prevent performance hits.2022 – Token Bucket Rate Regulation
→ Regulates resource growth to handle bursty workloads during scale-ups.2022 – Aurora Capacity Units (ACUs)
→ Abstracts CPU, memory, and I/O into ACUs for simple, usage-based scaling.2024 – Aurora DSQL and predictive resource control announced
2024–2025 – Global Serverless & ML-Driven Future
→ All Aurora offerings become serverless by default, with predictive and ML-driven optimizations.
Elevate
Feel free to read through this amazing blog, I read recently. Must read to understand an extensive overview of Agentic AI, detailing its core concept as intelligent personal assistants powered by Large Language Models (LLMs) that can act autonomously on a user's behalf. It explores key scientific and technical challenges in this emerging field, such as the need for agents to communicate in a standardised "embedding space" rather than human language, the complexities of context sharing and privacy in agent-to-agent interactions, and the application of behavioral economics and game theory to model agent negotiations. The text also addresses the long-standing challenge of instilling common sense, including subjective human preferences, into AI systems. Additionally, the source showcases numerous career opportunities for applied scientists in various AI-related domains within Amazon, underscoring the company's commitment to advancing these technologies.
Thanks for TRESIDUS for sponsoring this blog