In their presentation, "Building a Future-Proof Observability Platform to Empower Engineers," Wayne Bell and Dan Gomez Blanco explore the transformative architectural and cultural shifts necessary for scaling observability at Skyscanner. They emphasize the benefits of adopting OpenTelemetry, which decouples instrumentation from vendors, enabling greater flexibility. Central to their approach is the idea of treating the observability platform as a product, prioritizing engineers as customers. This strategy not only reduces incident rates but also effectively addresses technical debt across Skyscanner's extensive network of over 800 microservices.

Uber's engineering team has successfully migrated over 75,000 test classes from JUnit 4 to JUnit 5, leveraging automated code transformation through OpenRewrite and their internal orchestration tools. This significant upgrade enhances their testing infrastructure by enabling dual execution on the JUnit Platform with Bazel, ensuring seamless integration and validation via continuous integration (CI). The migration not only modernizes their testing process but also maintains accuracy across their extensive monorepo, demonstrating Uber's commitment to innovation and efficiency in software development. By Leela Kumili.

QCon San Francisco 2026 has officially announced its 12 tracks, showcasing a comprehensive lineup designed for senior engineering professionals. From November 16-20, attendees can explore four tracks dedicated to AI in production, alongside eight additional tracks addressing critical areas such as distributed systems, architecture teardowns, resilience, platform internals, API design, and Staff+ leadership. This event promises to empower engineers with the insights and strategies needed for today's evolving tech landscape. Don't miss the opportunity to secure early bird pricing, available until May 12th.

In the evolving landscape of coding assistants, Claude Code and Codex stand out as two innovative solutions that extend beyond mere autocomplete functionality. These tools have transformed into full-fledged agents capable of reading projects, executing commands, editing files, and iterating toward desired outcomes. Claude Code emphasizes a unified agent loop that seamlessly integrates across various environments, while Codex distributes its capabilities across command-line interfaces and IDE extensions. This detailed comparison explores their distinct approaches, helping users make informed choices for their coding needs.

In the complex world of supply chain management, the reliance on traditional spreadsheets can lead to significant financial losses. This article explores a simulation that illustrates how a single forecast adjustment ripples through five planning teams, revealing the costly gaps between Sales and Stores. By understanding these inefficiencies, retailers can uncover the hidden costs that undermine their profitability. Join us as we delve into the critical impact of spreadsheet reliance and discover ways to enhance efficiency and drive better outcomes in supply chain operations.

In her insightful piece, Sabrine Bendimerad explores the non-linear paths that often define a career in data science. She emphasizes the importance of flexibility as a vital skill in navigating today's dynamic landscape, where the rapid evolution of technology constantly reshapes opportunities. Bendimerad warns against the risks of over-relying on AI agents for human decision-making, urging professionals to maintain their critical thinking and adaptability.

In a journey from C++ hobbyist to Excel enthusiast, this user reflects on the challenges and opportunities of transitioning into freelancing. Despite the misconception that Excel is hard to learn, their rapid mastery of nested formulas and dashboard creation reveals a newfound passion for this dynamic tool. However, entering the saturated market of freelancing raises questions about finding meaningful work and competing with low-cost data entry offers.

Hey fellow redditors, I'm developing a solution to automate the calculation of goods input for retailers. My company supplies various bundles, which change yearly and can include up to eight different items. To tackle this, I'm collecting data in a pivot table for easy access and creating a main sheet that combines last year’s output with bundle details. While I have a table set up for 100 stores and 25 bundles, I'm struggling with the main sheet format.

In the quest to create a comprehensive report template for auditors, it's essential to identify which criteria have passed without instances of failure. By leveraging a formula to compare the full table of criteria against the dropdown selections on the results sheet, you can effectively list those criteria that remain unused. While COUNTIF is useful for counting occurrences, you’ll need a different approach to extract and display the criteria that did not appear in any of the results, ensuring a complete overview of performance.

If you're struggling to display only the numerical result instead of the formula in Excel, you're not alone. This common challenge can be frustrating, especially for those new to the program. To resolve this, you can try using the "Copy and Paste Special" feature to paste values only. Simply select the cell with the formula, copy it, right-click the destination cell, and choose "Paste Special," then select "Values." This will replace the formula with the calculated number, simplifying your spreadsheet and enhancing your productivity.

Automating result filtering in Excel can significantly streamline your workflow, especially when dealing with extensive customer satisfaction survey data. Given your need to dynamically sort and filter results by location, exploring tools like Power Query or Macros can be incredibly beneficial. These solutions allow you to automate the extraction and organization of data, transforming hours of manual work into a quick, efficient process. Additionally, consider leveraging Pivot Tables for summarizing your data effectively.

Managing dynamic data inputs in spreadsheets can be challenging, especially when instrument software updates alter the logs that feed your main file. Updating Power Queries to accommodate these changes is essential, but it often leads to compatibility issues with older files. Many users face this dilemma and seek effective strategies to balance the need for updated queries while maintaining accessibility to past data. Exploring flexible solutions and best practices can empower you to streamline this process and enhance your data management efforts.

If you're facing challenges keeping a table visible while scrolling through a long dataset, you're not alone. Freezing panes and splitting windows are common solutions, but they might not always work as expected. Instead, consider using a floating table feature or inserting your data into a sidebar. This approach allows you to maintain visibility of essential information, ensuring you can efficiently manage your workflow. Let's explore some effective strategies to keep your important table accessible as you navigate through your data.

Calculating the sum of a range based on two different criteria is a common challenge in spreadsheet management, particularly for tracking holiday funds. In your case, you're looking to automate the sum for a specific person's remaining balance according to a designated year. By leveraging functions like SUMIFS, you can effectively filter the data to match both the individual's name and the year. This approach eliminates the need for manual cell selection, allowing your document to update dynamically as new entries are added.

Calculating percentages can be straightforward once you understand the formula. To determine a percentage, you generally divide the part by the whole and then multiply by 100. For example, if you're trying to find out what percentage a specific number is of a total, use the formula: (part/whole) × 100. If your calculations aren’t yielding whole numbers, double-check the values you’re using, as clarity in your inputs is key. Remember, there's no such thing as a stupid question when it comes to learning!

Transforming your table from the format shown in Picture 1 to that of Picture 2 can enhance clarity and usability, especially when managing extensive data sets. To achieve this, consider exploring various formatting options available in spreadsheet tools. Focus on elements such as adjusting column widths, applying consistent styles, and using headers effectively. This process not only simplifies your data but also empowers you to make informed decisions with ease.

If you're eager to enhance your Excel skills, particularly with Power Query, you're not alone. Many professionals seek efficient ways to learn without dedicating extensive time to visual content. Fortunately, audio resources like podcasts and audio-focused YouTube videos can provide valuable insights while you work or commute. These platforms allow you to absorb key concepts and techniques at your own pace. If you have recommendations for engaging audio content that simplifies Power Query, please share. Your suggestions could empower others in their learning journey.

Hello everyone! I'm exploring the transition from Smartsheets to native Excel for task management, particularly using Power Automation to send emails to users based on specific criteria in our task list. While my current automations effectively notify users of overdue tasks, I often encounter new issues each month. Unfortunately, I've hit a roadblock with Power Automation, as it seems to send emails to only one designated person instead of the relevant task owner.

Dealing with a massive Excel file can be frustrating, especially when it locks up your PC or risks losing critical data during conversion. Fortunately, there are effective ways to manage large CSV files without compromising your data integrity. Consider using specialized software or scripts to split the file into smaller, manageable sections, allowing for easier import into your new system. This approach not only preserves trailing zeros and spaces but also streamlines your workflow, making data handling more efficient and accessible.

Did you know you can instantly delve deeper into your data with just a double-click? When viewing a Pivot Table summary, you might find yourself curious about the origin of a specific value. By double-clicking the cell, you can "Drill Down" into the raw data that contributes to that number. This simple action empowers you to uncover insights and better understand your data’s story, enhancing your decision-making process. Explore this feature to transform your data analysis experience.

Overview Energy has secured a groundbreaking contract with Meta to develop solar power beamed from space, marking a significant step toward the future of space-based energy solutions. This innovative partnership aims to harness solar energy at night, showcasing the potential of cutting-edge technology to transform energy accessibility. By exploring the possibilities of space-based solar power, this collaboration not only paves the way for sustainable energy alternatives but also demonstrates a commitment to a more efficient and forward-thinking approach to global energy challenges.

Spotify is taking a bold step into the fitness realm, expanding its offerings to include workout videos, playlists, and Peloton classes accessible to both free and Premium users. This innovative move aims to transform the way listeners engage with fitness by seamlessly integrating exercise content into their daily routines. Whether you’re looking to energize your workouts or discover new fitness approaches, Spotify's latest category promises to empower users to explore and enhance their health journeys, making fitness more accessible and enjoyable than ever before.

In the evolving landscape of retrieval-augmented generation (RAG) systems, challenges persist, especially within the legal domain. Despite successfully handling 80% of queries, three specific limitations frequently arise. The scatter problem leads to incomplete responses due to the need for information from multiple documents. The negative knowledge problem results in misleading answers when no relevant guidance exists. Lastly, the timeline problem complicates the synthesis of information across temporal boundaries. Exploring solutions for these issues could significantly enhance the effectiveness of RAG implementations in production.

As a research mathematician with a keen interest in theoretical computer science, I find myself at a crossroads between mathematics and machine learning publishing venues. My recent paper, which I believe has significant relevance for machine learning researchers, spans 60 pages and I prefer journal submissions over conference engagements. I'm seeking recommendations for reputable machine learning or computer science journals that could serve as suitable platforms.

Publishing a workshop paper at prestigious conferences like NeurIPS, CVPR, or ICLR can significantly enhance your PhD application, especially as an undergraduate. While main conference papers are generally more impactful, workshop papers demonstrate your ability to engage with the research community, showcase your ideas, and contribute to ongoing discussions in your field. They can also highlight your initiative and commitment to research, which admissions committees value.

GitLab has unveiled versions 18.10 and 18.11 of its DevSecOps platform, introducing significant enhancements that empower users on the free tier with agentic AI capabilities. These updates include flat-rate code reviews that reduce the cost of automated code analysis, making it more accessible for teams. Additionally, administrators can now set spending caps on AI credits, ensuring better budget management for development projects. These innovative features aim to streamline workflows and enhance productivity, inviting users to explore the future of collaborative coding.

In a recent paper published in CACM, Microsoft’s Mark Russinovich and Scott Hanselman highlight a concerning trend: the rise of agentic AI is negatively impacting the junior developer pipeline. They note a staggering 67% decline in entry-level hiring since 2022, as companies favor experienced engineers over newcomers. To address this issue, they advocate for a preceptor model inspired by medical education, aiming to cultivate and preserve emerging talent in the tech industry.

In the podcast "A Java Performance Quest: Taming Unsafe Code, Embracing Idiomatic Style & Debugging the Linux Kernel," seasoned Java engineer Jaromir Hamala shares invaluable insights into high-performance software development. He explores the advantages of modern Java, demonstrating how developers can write idiomatic code while maintaining a "mechanically sympathetic" approach. Jaromir also draws from his hands-on experience debugging a Linux kernel bug, offering listeners practical strategies to enhance their coding practices. Tune in to discover transformative techniques for navigating the complexities of Java performance.

In the evolving landscape of large language model (LLM) integrations, the Model Context Protocol (MCP) Java SDK is pioneering a new architectural strategy for enterprises. This innovative approach defines explicit contracts and utilizes MCP servers as anti-corruption layers, ensuring effective governance and loose coupling within the Java Virtual Machine (JVM) ecosystem. By prioritizing security alignment and operational practices, MCP transforms integrations from fragile to resilient, empowering organizations to navigate the complexities of LLM technology with confidence.

Meta's anticipated moment has arrived with the launch of Muse Spark, its inaugural AI model designed for “personal superintelligence.” This development marks a significant milestone, building on the success of the Llama family of open-source models and the strategic talent acquisitions that have reshaped the AI landscape. As we delve into the capabilities of Muse Spark, we will explore whether it truly lives up to the excitement surrounding its release. Join us as we assess its potential impact on personal and professional data management.

On April 21, 2026, Google introduced Deep Research Max, a groundbreaking tool that transforms the research landscape for developers. Powered by Gemini 3.1 Pro, this autonomous AI research agent goes beyond traditional chatbot capabilities. With the ability to plan, search, read, reason, and write—all through a single API call—Deep Research Max empowers users to streamline their research processes efficiently. This innovative solution invites developers to explore a new era of AI-driven research, enhancing productivity and simplifying complex tasks like never before.

Explore the world of Large Language Model (LLM) applications with our guide to the top 10 Python libraries. This resource highlights essential frameworks that streamline the development process, from fine-tuning models to efficient loading and serving. Discover innovative solutions for building Retrieval-Augmented Generation (RAG) pipelines, creating multi-agent systems, and evaluating performance. Each library is designed to empower developers, making complex tasks manageable and enhancing productivity. Dive into these transformative tools and elevate your LLM projects to new heights.

In the evolving landscape of tabular models, the conversation around explicit measures versus calculation groups has gained significant traction, especially with the introduction of User Defined Functions (UDFs). This post explores the advantages of leveraging calculation groups for report creators, highlighting how they streamline the process while enhancing flexibility and efficiency. By comparing these two approaches, we aim to clarify when to use explicit measures and when calculation groups can empower your data management strategies, ultimately transforming your reporting experience.

Creating a dynamic Profit and Loss (P&L) statement using a trial balance query can be challenging, especially when aiming for automatic updates based on selected periods. Your goal to calculate Current Year Year-To-Date (CY YTD) and Previous Year Year-To-Date (PY YTD) is achievable with the right formula. Whether you prefer using Pivot Table data or exploring alternative methods, there are effective strategies to simplify this process. Let’s collaborate to uncover solutions that streamline your reporting and enhance your data management experience.

It sounds like you're experiencing frustrating reference errors in Excel, particularly when trying to use VLOOKUP across different tables. It’s common for users to face challenges when altering column arrangements, leading to #REF and #N/A errors. These issues can arise even when the tables have distinct names, as Excel may still reference the wrong data. Let’s explore how to resolve these errors and ensure your formulas work seamlessly, empowering you to manage your data more effectively. Your productivity deserves a hassle-free experience!

Are you struggling to remove persistent page breaks in Excel 2019? After attempting to reset all page breaks and still seeing the vertical dotted line in print preview, you're not alone. This issue can be frustrating, but there are effective solutions to help you regain control over your workbook’s layout. By following a few straightforward steps, you can eliminate these unwanted breaks and ensure your document prints as intended. Let's explore how to resolve this so you can focus on your work without distractions.

If you're finding that Excel automatically positions the selected cell at the top of your screen while scrolling, you're not alone. This common frustration can disrupt your workflow, especially during text analysis. Many users prefer having the active cell centered for better context and continuity. While options like scroll lock and frozen panes might not have resolved the issue, there are still ways to enhance your scrolling experience. Let’s explore effective solutions to regain control over how you navigate your spreadsheet.

Truecaller is at a pivotal point as its growth matures and faces increasing pressures. With its rapid expansion in India slowing, the company is strategically pivoting towards subscriptions, business services, and innovative features to maintain its momentum. This shift not only reflects Truecaller’s commitment to adapting in a competitive landscape but also highlights its focus on enhancing user experience while exploring new revenue streams. By embracing these changes, Truecaller aims to solidify its position and continue empowering users worldwide.

In an extensive analysis of 571 million Amazon reviews from 2023, the McAuley Lab's dataset reveals fascinating insights into consumer behavior across categories. Video games emerged as the rowdiest category, with 6.54% of reviews featuring strong profanity, starkly contrasting with the more subdued Gift Cards at 1.19%. Subscription Boxes ranked as the angriest category, while the longest recorded exclamation mark run reached an astonishing 10,594. This exploration highlights how emotional engagement varies by product type, offering a unique lens into user experiences and sentiments.

Welcome to this week's Entering & Transitioning thread, where we invite you to explore all aspects of launching your journey into the data science field. Whether you have questions about recommended learning resources, traditional or alternative education paths, or job search strategies, this is the place to connect. We encourage you to engage with the community and seek guidance on any elementary questions you may have. In the meantime, be sure to check our FAQ and Resources pages for valuable insights and past discussions.

In a recent discussion, a user sought guidance on a machine learning time series classification challenge. Initially, they achieved a public score of 0.85 but later improved their submission to a perfect score of 1.00 by leveraging an external dataset. The user now wonders if it’s feasible to replicate this success using only the original train and test datasets provided. They aim to understand how to derive the same ID-to-label mapping through machine learning techniques, rather than relying on external data.

Introducing a new operational tool for heavy industry, our small R&D team is dedicated to bridging the "Truth Gap" in industrial operations, specifically in Ports, Mining/Quarries, and Fleet Operations. We aim to transform the chaotic data landscape created by manual logs and disjointed systems. To achieve this, we seek genuine insights from those on the ground—your experiences and data are crucial. If you’re ready to share your operational challenges and help shape a solution tailored for real-world conditions, let’s connect.

Entering the world of machine learning research can feel overwhelming, especially when distinguishing between truly open problems and those that appear solvable. As a freshman with access to a respected research lab, you’re well-positioned to explore hardware-aligned topics. Developing intuition for identifying open research areas requires patience and engagement with the community. Embrace the process of inquiry, and remember that feeling unsure is a part of growth. Seek guidance from experienced mentors, and keep an open mind to discover the nuances of the field.

As the NIPS deadline approaches, a pressing question arises: Should we continue to share code with our conference submissions? Historically, I have always included code, but recent experiences suggest that reviewers may not prioritize it as much as we think. Some colleagues have successfully submitted without code, sparking curiosity about the evolving expectations in the ML community. This raises important considerations regarding reproducibility, including algorithm details and hyperparameter tuning. Are concerns about intellectual property theft justifying a shift away from sharing code in submissions?

In the week of April 20th, 2026, the Spring ecosystem saw significant advancements with the introduction of the first release candidates for several key projects. This roundup highlights the developments in Spring Boot, Spring Security, Spring Integration, Spring Modulith, Spring AMQP, Spring for Apache Kafka, and Spring Vault. These updates reflect a commitment to innovation and security within the Spring framework, empowering developers to enhance their applications. Join us as we explore these exciting new features and their potential impact on the development landscape.

Creating individual standard deviation error bars for each graph can enhance your data visualization significantly. If you’ve already calculated the standard deviation for each dataset but find that the error bars apply uniformly across all columns, the solution lies in properly adjusting your chart settings. By selecting each data series individually, you can input unique values for error bars, allowing each column to display its specific standard deviation.

If you're transitioning a complex formula from Google Sheets to Excel, you may encounter compatibility issues, particularly with nested arrays. This often results in error messages like “Nested Arrays are not supported” and displays as #### in the cells. To solve this, you need to adapt your formula into a non-nested format suitable for Excel while maintaining its functionality. In this guide, we will explore methods to convert your existing formula into an Excel-compatible version, ensuring your timeline of operation periods remains accurate and dynamic.

Running a macro can sometimes lead to unexpected consequences, especially if changes are made without saving prior work. It sounds like your girlfriend may have encountered a common issue where incorrect range definitions in the macro led to unintended data loss. While this can be frustrating, there are steps to potentially recover her work. It's important to explore options like checking for autosave versions or using backup files. Let’s delve into solutions that could help restore her progress and prevent similar issues in the future.

In the latest episode of Equity, we explore the transformative journey of Apple under Tim Cook's leadership since he became CEO in 2011. The discussion highlights the innovative strategies and product advancements that have redefined the company, positioning it at the forefront of technology. As Cook prepares to pass the baton to incoming CEO John Ternus, we examine the challenges Ternus will face in maintaining Apple's momentum and navigating an ever-evolving market landscape. Join us as we delve into the future of this iconic brand.

Amazon's podcast strategy has taken a significant turn in the past six months, embracing a bold approach to monetization. By leveraging its vast resources and innovative technology, Amazon is positioning itself to capitalize on the growing podcasting market. This transformation not only enhances content accessibility for users but also opens new revenue streams for creators and brands alike. As Amazon continues to refine its podcasting business, it invites listeners and producers to explore the potential of this dynamic medium for engagement and growth.