2+ hour, 48+ min ago   (501+ words) Which raises an uncomfortable question for anyone working on a new architecture: if AI is this fluent in 2020-era patterns, are we as an industry going to stay locked into those patterns simply because that's what the model knows? Is…...

4+ day, 2+ hour ago   (469+ words) Conventional service observability is built around a relatively stable model: a request enters a system, passes through a defined set of operations, and produces a response. The execution path may be complex, but it's deterministic and bounded. You can instrument…...

1+ week, 7+ hour ago   (1472+ words) AWS Glue makes it easy to get a PySpark pipeline running quickly. It is significantly harder to build one that stays maintainable as logic grows, performs reliably at scale, and does not quietly accumulate operational debt over time. Most Glue…...

1+ week, 1+ day ago   (228+ words) Build production-ready multi-agent AI systems in Microsoft with evaluation, cost governance, and observability for reliable, scalable, and accountable AI....

1+ mon, 4+ day ago   (662+ words) The overall user experience usually depends on how accurately the platform can connect relevant people together. At early stages, traditional search systems are often enough. Basic SQL filtering, category-based navigation, and keyword matching can solve many initial requirements without major…...

1+ mon, 5+ day ago   (345+ words) Managing high-volume message traffic in distributed architectures is crucial. Efficient use of database and CPU resources is also very important. There are structures that allow us to receive messages in batches. The default Spring Kafka "BatchMessageListener" structure addresses this need....

1+ mon, 5+ day ago   (945+ words) Analytics pipelines tend to scale in both cost and the age of their data sources: costs increase with data volume growth, while data freshness decreases due to longer batch jobs. The common approach, scaling out the cluster, addresses the symptom…...

1+ mon, 5+ day ago   (326+ words) In our software development processes, business units constantly want to update discount rates, loyalty points, or salary calculation logic. If this logic is within the code, between when-or-if-else blocks, every change means a new unit test process, code analysis, CI…...

1+ mon, 5+ day ago   (603+ words) A conventional RAG pipeline embeds each document chunk into a vector, stores the vectors, and at query time returns the k chunks whose embeddings are closest to the query embedding. This works well when the answer lives inside a single…...

1+ mon, 6+ day ago   (1726+ words) When I first started building AI applications, I kept hearing the same words everywhere: workflows, agents, and multi-agent systems. At first, they all sounded like different labels for the same thing. After all, in every case, you are still calling…...