S/4HANA migrations break custom ABAP code and interfaces unless you proactively refactor code, SQL, and integrations to support the new data model and semantics.
“Stateless” systems aren’t. Hidden state — caches, pools, SDK retries, kernel buffers — breaks deployments and scaling. Make it explicit, externalized, and observable.
Cloud systems scale — but unchecked, they can bankrupt you. Measure, automate, and optimize costs to keep your infrastructure resilient and your budget intact.
This guide explains how to deploy LocalBox with Azure Bicep and create Azure VMs, covering setup, networking, images, and deployment without physical hardware.
Processing hot data has significant value in the modern age, as it enables businesses to make instant decisions with low-latency, fault-tolerant, real-time systems.
Learn how Microsoft Playwright CLI enables token-efficient, scalable browser automation for AI coding agents, improving performance and reducing costs.
Retries can amplify failures into outages. Use backoff, circuit breakers, idempotency, load shedding, and observability to keep systems stable under pressure.
Learn to reduce duplicate bug reports with semantic search: embeddings, FAISS, and GPT-4o streamline triage, saving engineers hours on large ticket backlogs.
While many developers run containers on bare metal in development, in production, it's almost all VMs. What does this mean for the broader cloud landscape?
Bridge the gap between Big Data and production ML. Learn to integrate Azure Databricks with Azure Machine Learning for a seamless, scalable end-to-end MLOps workflow.
Let us break down relational data silos with vector embeddings, unifying numerical, categorical, and natural-language fields into one semantic representation.