Your 12 hourly digest for DZone.com Feed

DZone.com Feed Recent posts on DZone.com YAML vs XML vs JSON: History, Trade-offs, and Where Each Wins in the Age of Agentic AI 5 Oct 2026, 14:00 by Kai Wähner Regularly, someone reopens the same argument. XML or JSON or YAML, as if one has to win and the others lose. It usually comes up in a context like data contracts, where a team has to pick a format and defend it. The framing is wrong. These formats were built for different jobs in different eras, and the more useful question is which one fits the job in front of you. So here is the history, the trade-offs, and where each one still wins, including what changes now that LLMs and agents read and write structured data too. ‍ Building Time-Series Applications With Java and InfluxDB 5 Oct 2026, 13:00 by Otavio Santana InfluxDB is essential for applications that analyze continuously changing data. In IoT, this includes tracking temperature, pressure, energy use, or machine telemetry over time. Financial systems use similar models for market prices, exchange rates, trading activity, portfolio values, and risk metrics. The key requirement is the ability to ingest large volumes of timestamped data and efficiently query current, historical, and evolving values. This versatility makes InfluxDB valuable beyond traditional monitoring. Enterprises use it for observability, infrastructure metrics, logistics, industrial systems, customer activity, fraud detection, transaction trends, and business KPIs. When time is central to data storage and queries, a dedicated time-series database simplifies architecture and enables more intuitive queries. ‍ Kill the Worker, Keep the Research: Build a Recoverable LangGraph Agent on Temporal 5 Oct 2026, 12:00 by Akhil Madineni A research agent can spend minutes or hours accumulating search results, model outputs, citations, and intermediate synthesis. Losing that work because a Python worker restarts is not an acceptable failure mode. The useful design target is therefore not an immortal worker process but a disposable worker whose completed research remains durable.  Temporal’s official LangGraph integration provides that boundary: LangGraph still defines agent state and control flow, while Temporal supplies durable execution, Activity retries, timeouts, and replay-oriented recovery. As of September 2026, the integration is in Public Preview; its Python API is still marked experimental, and it requires temporalio 1.27.0 or later.  ‍ ‍ You are receiving this email because you subscribed to this feed at blogtrottr.com. By using Blogtrottr, you agree to our terms. If you no longer wish to receive these emails, you can unsubscribe from this feed, edit this subscription, or manage all your subscriptions.