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DZone.com Feed Recent posts on DZone.com Scaling Teams, Scaling Systems: Unlocking Developer Productivity With Platform Engineering Jul 14th 2026, 15:00 by Ammar Husain Modern software delivery is complex. Developers are responsible not only for writing code that meets business requirements — both functional and non-functional — but also for navigating a long chain of supporting steps. From containerization, testing, configuration, security, deployment, and monitoring, each stage often relies on specialized tools and teams. When these processes aren’t standardized, every project risks reinventing the wheel. The result is inconsistency, delays, and frustration. For example, requesting a new test environment might require submitting detailed tickets to a DevOps team, slowing timelines and draining energy. As organizations scale, so does the complexity — and the pain of delivery. ‍ AWS Glue ETL Design Principles for Production PySpark Pipelines Jul 14th 2026, 14:00 by Janani Annur Thiruvengadam 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 pipelines start simple and become difficult to manage gradually — formulas get hardcoded, modules grow without boundaries, output files proliferate, and before long a single job is doing too many things in ways that are hard to test, hard to debug, and expensive to change. ‍ From Gherkin to Source Code Without Losing the Business Language Jul 14th 2026, 13:00 by Douglas Cardoso Picture this: you are a software developer building an education platform, and you receive from the product owner some requirements written in business language (Gherkin). You need to implement these scenarios in Python. Probably you will start creating models and service modules. You will create some classes to represent the entities described in the scenarios, like Student, Course, and Subject. You will add conditionals and loops in the entity classes to control the business logic and restrict paths in the code: ‍ Differential Flamegraphs in Java in Jeffrey Microscope Jul 14th 2026, 12:00 by Petr Bouda In the first article, we got started with Jeffrey Microscope and learned to read a single flamegraph — the timeseries, search, tooltips, and the allocation and wall-clock variants. This time we build directly on that foundation and tackle one of Jeffrey's most powerful features for real-world performance work: the differential flamegraph, which compares two recordings and shows you precisely what changed between them. A single flamegraph tells you where your application spends its time. But the questions that matter most in practice are comparative: ‍ ‍ 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.