🎙️ Platform Engineering untold truths: is it just an infrastructure matter?#
The increasing complexity of software development presents significant risks and inefficiencies, especially for large enterprises. That’s why companies require a structured approach to software delivery, with a focus on platform engineering and internal developer platforms. While existing literature often discusses platform engineering in terms of DevOps tool integration and infrastructure provisioning, its scope extends far beyond these aspects. To truly enhance service scalability and quality, platforms must prioritize data encapsulation and composability. This means addressing not just the IT infrastructure, but the entire organizational framework. Infrastructure management represents only the tip of the iceberg; to drive a successful platform engineering initiative, factors like data management and composability are equally crucial. Let’s delve into the unspoken truths of platform engineering by examining the fundamental principles necessary for a successful platform initiative.
🎙️ Scale before it hurts: KEDA for data-intensive apps#
Scaling workloads in response to demand spikes is no longer enough—you need to stay ahead of the curve. In this talk, we’ll explore how KEDA enables predictive, event-driven scaling to handle large and unpredictable data loads efficiently. We’ll showcase a real-world use case: building a Data Fabric solution for data processing and aggregation, where services ingest massive amounts of data asynchronously via Kafka queues. Using KEDA, we dynamically scale resources, adapting predictively to the flow of incoming data from the source, ensuring optimal performance and cost efficiency. Join us to see how KEDA takes auto-scaling from reactive to predictive—keeping your data pipelines fast, efficient, and always ahead of demand.