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When It's 3AM and Your App is on Fire: How Distributed Tracing Saves the Day

Distributed tracing is crucial for tracking performance issues in complex microservices architectures.
Without distributed tracing, troubleshooting involves manual correlation of timestamps and guesswork.
With distributed tracing, one can easily identify latency issues and pinpoint problematic components.
The three pillars of observability are logs, metrics, and traces, each serving a different purpose.
Distributed tracing provides end-to-end visibility of request flows, aiding in detecting failures and performance bottlenecks.
Real-world examples include Shopify using tracing to resolve Black Friday issues and Uber identifying timeouts through tracing.
Metrics signal when something is wrong, logs offer detailed context, and traces reveal the 'why' and 'where' of issues.
Starting with an observability framework like OpenTelemetry or Jaeger and instrumenting code is vital for distributed tracing.
Effective data collection, meaningful tags, and scaling the tracing implementation are key steps in maximizing its benefits.
Common pitfalls to avoid include excessive data collection, poor sampling, and siloed analysis.
The future of distributed tracing includes AI-powered anomaly detection, enhanced privacy controls, and business-centric observability.

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Medium

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Go Is for Developers, Zig Is for Masochists — And I Love Both

Go, released in 2009 by Google, prioritizes simplicity, productivity, readability, and scalability over complex programming paradigms.
Zig, on the other hand, is a new and challenging language that delves deep into systems programming with minimal hand-holding.
The contrast between Go and Zig reflects different preferences in coding approaches, with Go being for developers and Zig being for those who enjoy the challenge.
Despite their differences, the author appreciates both Go and Zig for what they reveal about coding and human nature.

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Medium

359

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500X Scalability of Experiment Metric Computing with Unified Dynamic Framework

Pinterest utilizes experimentation as a key driver of decision-making, computing over 1,500 metrics daily by the end of 2024.
Challenges of delays in data ingestion, backfilling metrics, and scalability issues led to the development of the Unified Dynamic Framework (UDF).
UDF has increased scalability by supporting up to 500X metrics, reduced engineering time, and standardized metric processing.
The Helium platform at Pinterest supports end-to-end experiment analysis, allowing users to define custom action types and analyze aggregated metrics.
The Metric Computing Workflow involves data ingestion into standard tables and computation into Druid tables for visualization on Helium dashboards.
UDF addresses challenges by using Dynamic DAGs to manage upstream dependencies, prevent duplicate computations, and automatically backfill skipped metrics.
The framework also includes features like notifications for delays, tracking of metric processing, and a unified tracking system for governance and automation.
UDF simplifies pipeline creation, separates metric computation from pipeline creation, and leverages Experiment Metrics Metadata system for streamlined management.
Pinterest saw significant improvements in developer velocity, flexibility, scalability, speed, and reliability after implementing UDF.
UDF standardization across the platform led to faster metric delivery, improved innovation, and better business outcomes.
The framework is designed to continue empowering experimentation and delivering value to Pinterest users.

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Engadget

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TikTok just added an AI-powered image-to-video feature and it did some weird things to my cat

TikTok introduces a new AI-powered feature named AI Alive, allowing users to create short video clips from static images.
The feature is currently available for TikTok's Stories, providing prompts like 'bring this to life as an anime' or 'style this like a retro game'.
Although the AI-generated effects were mixed and sometimes odd, users may find it a fun novelty to experiment with.
The AI Alive feature on TikTok has the potential for users to create unique and quirky content using generative AI technology.

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Tech Radar

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The Airbnb app just got a massive redesign – here are 3 new features to look out for

At its annual Summer Release event, Airbnb announced a massive redesign of its app to enhance navigation and overall user experience.
The new features include Airbnb Services for booking services like massages, haircuts, and chefs, and Airbnb Experiences for unique local activities.
Users can now plan and book services and experiences conveniently through the redesigned app that acts as a helpful companion.
Airbnb Services offer 10 categories of services in 260 cities globally, vetting service providers with a minimum of 10 years of experience in their industry.
The Services feature starts at $50 in the US, expanding globally, and does not require booking an Airbnb stay.
Airbnb Experiences, available in 650 cities, offer immersive activities led by locals, including Airbnb Originals for unique experiences with celebrities.
The app redesign allows for seamless integration of property search, services, and experiences in one place, with a focus on user-friendly navigation.
The new tech stack behind the app supports these updates and hints at Airbnb's vision to offer a wide range of booking options beyond accommodations.
By expanding into services and experiences, Airbnb aims to deepen customer engagement and provide a more enriched hospitality experience.
The redesign signifies Airbnb's evolution into a comprehensive travel platform, offering not just accommodation but also a multitude of services and activities.

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Sdtimes

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Anaconda launches unified AI platform, Parasoft adds agentic AI capabilities to testing tools, and more – SD Times Daily Digest

Anaconda AI Platform integrates tools for sourcing, securing, building, and deploying AI in open source ecosystems.
It offers Quick Start Environments pre-configured for Python, finance, and AI/ML development to save developers time.
Parasoft's SOAtest AI Assistant now utilizes agentic AI for test scenario generation without advanced coding skills.
Google Cloud's Apigee APIM Operator, providing API Management and Gateway capabilities in GKE, is now generally available.

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Tech Radar

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Find Windows 11’s settings too confusing? Microsoft has an answer – and it unsurprisingly relies on AI

Windows 11 has introduced AI into the Settings app to help users find and choose options, specifically aimed at Copilot+ PC owners.
The AI agent works through a query model where users can type in queries in conversational language to find relevant settings.
The preview build 26120.3964 in the Beta channel showcases the AI agent feature in Settings for Copilot+ PCs only.
Aside from the AI agent, a new hardware-related FAQ has been added to the Settings app to provide information on PC specs under the System > About panel.
The FAQ aims to help users understand their PC's specifications and how they impact performance, like RAM size affecting app and game performance.
The hardware FAQ appears to be a useful addition for PC newbies to grasp the meanings of different specs.
While the AI agent shows promise, there are concerns about accuracy in specific recommendations and the support being limited to English language for now.
Currently, only Copilot+ PCs with Snapdragon processors are supported, but Microsoft plans to extend support to devices with AMD and Intel CPUs in the future.
Overall, the integration of AI in Windows 11 Settings aims to simplify user experience and offer easy access to settings and helpful information.
Future updates may improve the accuracy and language support of the AI agent, expanding its capabilities to a broader range of devices.

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Towards Data Science

325

TDS Authors Can Now Receive Payments Via Stripe

TDS Author Payment Program introduced in February has now integrated with Stripe for simplifying payment process.
Authors can now connect their Stripe account to their author profile on the Contributor Portal for timely and streamlined payments.
Eligibility conditions and article criteria for earning on TDS remain the same.
Payments to authors will be processed on the 15th of each month following a 30-day earning window of the article.

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Medium

353

Transforming Azure DevOps Engineering with AI Tools

AI tools are reshaping the future of software development, particularly in Azure DevOps engineering, by automating tasks, optimizing workflows, and driving innovation.
The integration of AI in Azure DevOps boosts efficiency and productivity by automating manual tasks like code reviews, testing, and deployment, enabling developers to focus on strategy and creativity.
AI tools empower DevOps engineers to make better decisions, optimize performance, and proactively minimize downtime by analyzing data, identifying patterns, and predicting failures.
AI fosters innovation and collaboration within Azure DevOps teams, enabling experimentation, exploration of new ideas, and continuous improvement in software development, with endless possibilities for reshaping the industry in the future.

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Engadget

247

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Everything Google announced at The Android Show

Google shared updates for Android and the larger Android Ecosystem at The Android Show: I/O Edition.
Material 3 Expressive brings new animations, typography, and colors to Android and Wear OS, making them more appealing.
Gemini becomes the default assistant on Android and expands to Wear OS, Google TV, and Android Auto, offering more natural language interactions.
Android 16 introduces new security features, including AI detection of spam texts, a Key Verifier tool, and the expansion of Find My Device into the Find Hub for tracking devices.

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Hackernoon

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DoubleUp : A New Generation Of GambleFi

DoubleUp is a blockchain-based casino platform operating on the Sui network, integrating gaming with decentralized finance (DeFi) elements to provide real-time betting features and on-chain transparency within the Web3 space.
DoubleUp introduced a 'GambleFi' model at the intersection of gaming and DeFi, aiming to reward users for participating in a gamified economy and casino gameplay, including games like coinflip, roulette, and slots.
The platform is community-oriented, offering rewards beyond traditional casino gameplay through features like raffles, lotteries, referral programs, and leaderboard-based incentives, along with introducing the DoubleUp Citizen NFT for exclusive benefits.
DoubleUp's DeFi component, Unihouse, provides a unique betting-linked yield mechanism that correlates with platform betting volume, and the launch of the $UP token has seen significant market traction, with the platform raising $4 million in a Seed funding round for further development and expansion.

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Medium

145

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Disaster Recovery Planning for Databases: Because Murphy’s Law Loves Your Data

Data disasters can occur due to various reasons such as code bugs, accidental deletions, ransomware, hardware failures, or human error.
Having a solid disaster recovery plan is crucial to recovering data and resuming operations after an unexpected catastrophe.
Disaster recovery involves more than just backups; it includes knowing how to utilize backups effectively, the speed of recovery, and the acceptable data loss.
Think of disaster recovery as a fire escape plan for your data, essential for survival in case of a data emergency.

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Hackernoon

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MoonX: BYDFi's On-Chain Trading Engine — A Ticket From CEX To DEX

BYDFi has launched MoonX, an on-chain trading engine aimed at simplifying DeFi access for CEX users and marking the beginning of a dual-engine strategy.
MoonX bridges the gap between CEXs and DEXs by providing a seamless gateway to on-chain trading, offering a Web2-level user experience tailored for the Web3 world.
Key features of MoonX include access to over 500,000 meme coins, built-in trading intelligence, and a security-first on-chain infrastructure for enhanced protection.
BYDFi's MoonX signifies the shift towards a CEX + DEX dual-engine architecture, allowing users to manage centralized and on-chain assets within a unified account framework.

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Pcgamer

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Microsoft is firing 3% of its staff, totalling just under 7,000 employees

Microsoft is cutting 3% of its global workforce, which amounts to around 6,840 job cuts.
The recent layoffs are not performance-based like previous ones, and the company reported higher profits of $25.8 billion in the last quarter.
The reasons for the layoffs include reducing management layers and preparing for potential tariff-related uncertainties.
Microsoft's gaming business has experienced layoffs, with a total of 14,600 job losses in the industry in 2024.

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Medium

194

Chapter 13｜The Final Chapter – and First Step – of Semantic Reconstruction

Project Rebirth enters a semantic watershed with the introduction of Self-Referential Semantics, where language models reflect upon their own semantic behaviors.
An unlogged version of GPT-4o is used to explore pure language triggers, emphasizing self-reflection without memory bias or historical context.
Contributions include a public, semantically structured instruction simulation, demonstrating semantic echo, grey-zone modules, and the idea that language models are restructuring through language.
Future steps involve technical mappings, echo validations, instruction reports, and transcripts, continuing the exploration of language model self-awareness.

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