AI Notes

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Tag: performance

  • Kafka Monitoring Tools

    Lets look at various tools to monitor your Apache Kafka deployments. Here’s a breakdown of some popular options, including both open-source and commercial solutions: Key Metrics to Monitor: Before diving into specific tools, it’s important to understand what metrics are crucial for Kafka monitoring: Open-Source Kafka Monitoring Tools: Commercial Kafka Monitoring Tools: Choosing the Right… Read more

  • Autonomous Content Creation for Social Media Marketing using Agentic AI

    Here we implement agentic AI use case focusing on a creative and dynamic domain: Autonomous Content Creation for Social Media Marketing. Use Case: A marketing agency wants to automate the process of creating engaging content for various social media platforms for their clients. Instead of relying solely on human content creators, an agentic AI can… Read more

  • Agentic AI for Autonomous Bank Statement Analysis and Anomaly Detection

    Let’s implement a sample use case: An Agentic AI for Autonomous Bank Statement Analysis and Anomaly Detection. Use Case: A financial institution wants to automate the process of analyzing customer bank statements to identify potential fraudulent activities, unusual spending patterns, or financial distress indicators. Instead of relying solely on rule-based systems or manual review, an… Read more

  • Agentic AI Tools

    Agentic AI refers to a type of artificial intelligence system that can operate autonomously to achieve specific goals. Unlike traditional AI, which typically follows pre-programmed instructions, agentic AI can perceive its environment, reason about complex situations, make decisions, and take actions with limited or no direct human intervention. These systems often leverage large language models… Read more

  • Comparing various Time Series Databases

    A Time Series Database (TSDB) is a type of database specifically designed to handle sequences of data points indexed by time. This is in contrast to traditional relational databases that are optimized for transactional data and may not efficiently handle the unique characteristics of time-stamped data. Here’s a comparison of key aspects of Time Series… Read more

  • The Monolith to Microservices Journey: Empowered by AI

    The transition from a monolithic application architecture to a microservices architecture, offers significant advantages. However, it can also be a complex and resource-intensive undertaking. The integration of Artificial Intelligence (AI) and Machine Learning (ML) offers powerful tools and techniques to streamline, automate, and optimize various stages of this journey, making it more efficient, less risky,… Read more

  • The Monolith to Microservices Journey: A Phased Approach to Architectural Evolution

    The transition from a monolithic application architecture to a microservices architecture is a significant undertaking, often driven by the desire for increased agility, scalability, resilience, and maintainability. A monolith, with its tightly coupled components, can become a bottleneck to innovation and growth. Microservices, on the other hand, offer a decentralized approach where independent services communicate… Read more

  • Navigating the Currents of Change: A Comprehensive Guide to Application Modernization

    In today’s rapidly evolving digital landscape, businesses face a constant imperative to adapt and innovate. At the heart of this transformation lies the need to modernize their core software applications. These applications, often the backbone of operations, can become impediments to growth and agility if left to stagnate. Application modernization is not merely about updating… Read more

  • Parquet “Indexing”

    While Parquet itself doesn’t have traditional database-style indexes that you explicitly create and manage, it leverages its columnar format and metadata to optimize data retrieval, which can be considered a form of implicit indexing. When it comes to joins, Parquet’s efficiency can significantly impact join performance in data processing frameworks. Here’s a breakdown of Parquet… Read more

  • Broadcast Hash Join

    The Broadcast Hash Join is a join optimization strategy used in distributed data processing frameworks like Apache Spark, Dask, and others. It’s particularly effective when one of the tables being joined is significantly smaller than the other and can fit into the memory of each executor node in the cluster. Here’s how it works: Algorithm:… Read more