Browsing Category

Shift Left Architecture

4 posts
Online Model Training and Model Drift in Machine Learning with Apache Kafka and Flink
Read More
  • 982 views
  • 5 minute read

Online Model Training and Model Drift in Machine Learning with Apache Kafka and Flink

The rise of real-time AI and machine learning is reshaping the competitive landscape. Traditional batch-trained models struggle with model drift, leading to inaccurate predictions and missed opportunities. Platforms like Apache Kafka and Apache Flink enable continuous model training and real-time inference, ensuring up-to-date, high-accuracy predictions. This blog explores TikTok’s groundbreaking AI architecture, its use of data streaming for real-time recommendations, and how businesses can leverage Kafka and Flink to modernize their ML pipelines. I also examine how data streaming complements platforms like Databricks, Snowflake, and Microsoft Fabric to create scalable, adaptive AI systems.
Read More
0
0
0
Tesla Energy Platform - The Power of Data Streaming with Apache Kafka
Read More
  • 2.0K views
  • 7 minute read

Tesla Energy Platform – The Power of Data Streaming with Apache Kafka

Tesla’s Virtual Power Plant (VPP) turns thousands of home batteries, solar panels, and energy storage systems into a coordinated, intelligent energy network. By leveraging Apache Kafka for event streaming and WebSockets for real-time IoT connectivity, Tesla enables instant energy redistribution, dynamic grid balancing, and automated market participation. This event-driven architecture ensures millisecond-level decision-making, allowing homeowners to optimize energy usage and utilities to stabilize power grids. Tesla’s approach highlights how real-time data streaming and intelligent automation are reshaping the future of decentralized, resilient, and sustainable energy systems.
Read More
0
0
0
Apache Flink - Overkill for Simple Stateless Stream Processing
Read More
  • 2.7K views
  • 8 minute read

Apache Flink: Overkill for Simple, Stateless Stream Processing and ETL?

Discover when Apache Flink is the right tool for your stream processing needs. Explore its role in stateful and stateless processing, the advantages of serverless Flink SaaS solutions like Confluent Cloud, and how it supports advanced analytics and real-time data integration together with Apache Kafka. Dive into the trade-offs, deployment options, and strategies for leveraging Flink effectively across cloud, on-premise, and edge environments, and when to use Kafka Streams or Single Message Transforms (SMT) within Kafka Connect for ETL instead of Flink.
Read More
0
0
0
The Shift Left Architecture
Read More
  • 18.3K views
  • 8 minute read

The Shift Left Architecture – From Batch and Lakehouse to Real-Time Data Products with Data Streaming

Data integration is a hard challenge in every enterprise. Batch processing and Reverse ETL are common practices in a data warehouse, data lake or lakehouse. Data inconsistency, high compute cost, and stale information are the consequences. This blog post introduces a new design pattern to solve these problems: The Shift Left Architecture enables a data mesh with real-time data products to unify transactional and analytical workloads with Apache Kafka, Flink and Iceberg. Consistent information is handled with streaming processing or ingested into Snowflake, Databricks, Google BigQuery, or any other analytics / AI platform to increase flexibility, reduce cost and enable a data-driven company culture with faster time-to-market building innovative software applications.
Read More
0
0
0