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[WORKSHOP] TRACE YOUR FRONTEND ISSUES TO BACKEND PROBLEMS
Frontend issues that affect your users are often triggered by slow database queries, the dreaded server-side request waterfall, or other backend problems.
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Frontend issues that affect your users are often triggered by slow database queries, the dreaded server-side request waterfall, or other backend problems.
P.S. Submit your questions early [4] to have them answered live during the session!
Stripe's internal database as a service, DocDB, is built on MongoDB and designed for scalability and reliability. DocDB uses a proxy server to handle read/write requests, a central Chunk Metadata Service to track data chunk locations, and a Data Movement Platform for easy data migration between shards.
Async programming can make Ruby on Rails apps faster by delaying non-essential tasks and parallelizing I/O-bound operations. This can be achieved using methods like `deliver_later` for emails, `load_async` for database queries, and `dependent: :destroy_async` for dependent associations. However, while async can speed up apps, it can also add complexity, so it's better to address basic performance issues first and use async judiciously.
Python Notebooks promote bad coding habits like neglecting testing and linting due to their ease of use and impermanence. They also worsen personal productivity by causing distractions and creating inconsistencies between the notebook environment and production. While they seem fast to iterate on, they slow down team collaboration by making it difficult to track changes, maintain awareness of ongoing work, and share useful code snippets.
The Pragmatic Engineer's survey of GenZ software engineers revealed that despite generational labels, young software engineers share common traits with older ones, particularly in valuing supportive and accommodating work environments. GenZ respondents are described as energetic, ambitious, and adept communicators who are ready to make a significant impact in the tech industry.
Microsoft's Python in Excel is designed as an alternative to Excel's formula language, not VBA, and integrates Jupyter Notebook cells into the grid. It is not ideal for beginners due to its non-interactive data analysis and challenging diagnostics pane. However, it's still pretty useful for computationally intensive tasks, AI applications, advanced visualizations, and time-series analysis.
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In this online talk by Confluent and SAP, you'll learn how to keep every system that relies on SAP data in sync with the latest and greatest real-time data. The session includes a demo of using SAP Datasphere and Confluent's Kora Engine [11] to build real-time
A simple checklist of the essential items to include in your bug reports. This includes a title, steps to reproduce, visual proof, expected vs actual results, log statements if applicable, and environment details.
Quartz is a set of tools that helps you publish your digital garden and notes as a website for free.
Codemod provides tools to migrate code quickly. It is partnering with the React team to build and maintain the `react-codemod` repo, which offers open-source codemods to make React-related migrations fast.
Provable software systems guarantee the correct functioning of software by using mathematical logic and proofs. This approach can help to catch bugs and vulnerabilities early on, making systems more reliable and secure. Simple systems that are more provable include an IoT light bulb and a Lego garage with a cryptographic library.
Private group chats have become the hub for interesting tech discussions due to the cultural shifts and the rise of online communities. The success of these group chats depends on a strong leader, active members who inject new ideas, and the existence of smaller side chats for private conversations. Groups should be diverse and sizes should be limited, while inactive members should be pruned to maintain the quality of discussions.
Unstructured data like README files, code comments, and issue descriptions are hard to analyze but hold valuable insights. Retrieval-augmented generation (RAG) uses additional data sources like vector databases or search engines to improve the quality and relevance of outputs from large language models. RAG can help surface organizational best practices and uncover user pain points from unstructured data by providing contextually relevant responses to developers' questions to improve their productivity.
Development on Firefox is now moving to Git for version control.
Swift's type checker can be slow due to the way it infers types, especially in complex expressions with multiple possible combinations, leading to exponentially increasing compilation times.
Google Chrome's engine has adopted SIMD parsing of HTML to quickly jump to specific characters.
JetBrains has released security updates for all IntelliJ-based IDEs and the GitHub plugin to fix a vulnerability that potentially exposed access tokens to third-party sites.