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NYT Strands hints and answers for Wednesday, May 21 (game #444)

The NYT Strands game for May 21 (game #444) involved the theme 'Three's a crowd'.
Clue words for the game included PATCH, DOME, RENT, COLT, CHIRP, and TINS.
The spangram for the game had 13 letters and connected the first side on the left, 3rd row, to the last side on the right, 1st row.
The answers for game #444 were MATCH, PAIR, PARTNERS, TWINS, TWOSOME, COUPLE, and the spangram was DOUBLE TROUBLE.

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Dev

208

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Conquering the AWS Certified Machine Learning Engineer — Associate: My Roadmap to Success

The AWS Certified Machine Learning Engineer — Associate exam is challenging and requires a solid understanding of both machine learning principles and the AWS ecosystem.
The exam is divided into four main domains: Data Preparation, Model Development, Deployment & Orchestration, and Monitoring & Security.
Preparation strategies include solidifying AWS foundations, hands-on ML practice with resources like Amazon Bedrock Workshop and Amazon SageMaker Studio, mock exams, filling knowledge gaps in areas like model monitoring and cost optimization, and gaining real-world experience in ML projects.
Key strategies for success include strengthening core AWS services knowledge, engaging in practical practice, managing time effectively during the exam, and staying updated on AWS advancements.

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Dev

393

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Terraform Infrastructure as Code Best Practices

Terraform is crucial for Infrastructure as Code (IaC), but maintaining Terraform code as infrastructure scales requires best practices.
Organize Terraform code with a consistent directory structure for better maintenance and deployment consistency.
Split resources into logical modules to make code more maintainable and reusable.
Use variables for configuration to ensure flexibility and documentation within modules.
Implement consistent naming and tagging conventions for improved resource management.
Utilize data sources to reference external resources and keep code flexible and maintainable.
Maintain consistent backend configurations for Terraform state with proper locking for team collaboration.
Version providers and modules to ensure reproducible infrastructure and prevent unexpected changes.
Use loops and conditionals for efficient, concise code and implement automated testing for validation.
While workspaces can be useful, separate environment directories with state files are preferred for production infrastructure.

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Siliconangle

389

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New Sentry logging feature adds structured logs to error tracking workflow

Sentry Inc. introduced a new logging feature in open beta for JavaScript and Python applications.
The feature integrates structured logs into error and performance monitoring workflows for a more unified debugging experience.
Logs are automatically associated with related issues and traces, enhancing root cause analysis and reducing context switching between tools.
Future plans for the feature include log-based alerts, visual dashboards, live log tailing, and expanded support for additional SDKs.

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Sap

203

Harnessing the Power of Data with SAP Business Data Cloud and Google BigQuery

SAP and Google Cloud are enhancing their partnership to focus on SAP Business Data Cloud, a fully managed SaaS solution connecting SAP data with third-party data like Google BigQuery.
The collaboration aims to streamline data integration and data science, enabling enterprises to gain faster, more accurate insights augmented by intelligent automation.
The integration allows seamless connectivity between SAP Business Data Cloud and Google BigQuery, offering features like seamless data federation and efficient bi-directional replication.
Joint customers have already benefitted from the integration, with success stories like Power International modernizing its sales reporting process using SAP Datasphere and BigQuery.

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Sap

SAP and AWS Introduce AI Co-Innovation Program to Create Generative AI Solutions That Help Customers Navigate Market Volatility and Supply Chain Complexity

SAP and AWS have launched an AI Co-Innovation Program to create generative AI solutions to address market volatility and supply chain complexity.
The program aims to help partners build AI applications that leverage ERP data for optimizing delivery routes, supply chain operations, and financial insights.
It will provide technical resources, cloud credits, and professional expertise to support the development and deployment of industry-specific applications.
Partners like Accenture and Deloitte are already working with AWS and SAP to accelerate the development and deployment of generative AI solutions for complex challenges.

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Sap

248

Accenture and SAP Join Forces to Help Companies Enable Connected Intelligence Across the Enterprise to Drive Speed and Agility in the AI Era

Accenture and SAP have launched ADVANCE, combining their expertise to help organizations move to the cloud and drive business transformation for high-growth companies.
ADVANCE offerings leverage SAP Business Suite and Accenture's services to streamline finance, procurement, supply chain, and workforce management for connected and intelligent enterprises.
The solutions, available in ready-to-consume packages, utilize AI, industry insights, and innovation to facilitate faster modernization in six to twelve months with predictable outcomes.
The partnership aims to help companies reinvent, thrive, and grow by providing speed, agility, and resilience in the current dynamic business environment.
Accenture plans to invest in specialized professionals to deliver tailored packages focusing on simplicity, security, speed, and future readiness for business transformation.
The offerings include rightsized solutions with transparent pricing, secure operations, fast implementation, and continuous innovations like AI agents for better decision-making.
Accenture and SAP's partnership also covers services like change readiness, business process management, cybersecurity, and AI agents to support organizations in their transformation journey.
Accenture is a global professional services company focusing on digital core, revenue growth acceleration, and innovation, serving clients across various industries worldwide.
SAP, a global leader in enterprise applications and business AI, offers solutions that unite business-critical operations for organizations worldwide.
For additional information on SAP products and services, customers can contact the Global Customer Center or the United States helpline provided in the article.
The content includes forward-looking statements and contact information for press inquiries related to SAP and Accenture.

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Dev

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How (not) to Burn Money on VPC Endpoints (So You Don't Have To)

The article discusses the challenges of adopting a 'Just do it' approach over aligning with AWS Well-Architected Framework, emphasizing the impact on cost optimization and sustainability pillars.
VPC interface endpoints are highlighted as an example where prioritizing speed over quality can lead to unnecessary costs, especially when endpoints are provisioned separately for each VPC.
The cost implications of provisioning VPC interface endpoints across multiple accounts and regions are explored, with calculations showing significant expenses that could be reduced with a centralized approach.
An overview of optimizing architecture for cost savings and business continuity is provided, emphasizing the need to standardize security policies and centralize endpoint management to enhance security and reduce costs.
Components and integration tables are detailed, showcasing the high-level design of centralized VPC endpoints, Route 53 configurations, and the necessary associations between hub and spoke VPCs.
Strategies for minimizing downtime during the transition to centralized VPC endpoints are discussed, advocating for a gradual rollout with automated tests and documentation.
Key takeaways include the importance of thoughtful architecture decisions, scalability of interface endpoints, and the benefits of centralizing shared services for cost savings and security management.

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Dev

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Migrating from Nextcloud to Azure S3

The migration from Nextcloud to Azure S3 was driven by issues with performance, infrastructure impact, and architectural challenges.
Nextcloud's stability and performance problems, including frequent downtime and delays, led to the decision to seek a more scalable solution like Azure S3.
Architectural issues, like direct access to storage servers and hardcoded URLs in PDFs pointing to specific servers, motivated the transition to a more centralized service approach.
The migration plan involved routing all downloads and uploads through a service, migrating existing documents to Azure storage, and managing legacy Nextcloud links in exported PDFs.
Challenges in the migration process included token management for document identification, implementing document previews, optimizing PDFs and images, and ensuring proper HTTP headers for file downloads.
Security measures included monitoring for spoofed HTTP headers, scanning files for viruses, and using tools like clamscan to ensure file safety.
Monitoring and maintaining control over usage, logs, and metrics were highlighted as critical for infrastructure stability.
The migration process involved data extraction, setting up the environment, and transferring resources from Nextcloud to Azure using a specialized Node.js API.
Managing legacy URLs in PDFs required establishing a microservice with SQLite database support to correlate tokens with tenant IDs, allowing for efficient URL rewriting and redirection.
The project emphasized the importance of meticulous planning, efficient data handling, and adapting to unexpected challenges for a successful migration from Nextcloud to Azure S3.

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Dev

271

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Templates, Automation, and Playbooks: My AWS IR Toolkit is Now Live

A new AWS Incident Response Toolkit has been launched by Javier after refining his incident response process for AWS.
The toolkit includes a printable incident response checklist, an editable playbook, notification flows, a cloud forensics tool matrix, and deployment-ready Terraform + Lambda code for alerting automation.
Javier built the toolkit to help teams and individuals struggling with rebuilding IR processes, unclear communication paths for findings, and lack of automation in triage.
The AWS IR Toolkit can be explored further through the full article provided and downloaded on Gumroad for €9, with future updates included. Feedback and suggestions for improvements are welcomed for the toolkit.

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Siliconangle

199

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Red Hat expands hybrid cloud capabilities with AI assistant, edge manager and AMD partnership

Red Hat, at the Red Hat Summit, introduced new tools and updates focused on productivity, simplifying operations and modernizing infrastructure for hybrid and edge computing environments.
The announcements include the availability of Red Hat OpenShift Lightspeed, a generative AI assistant for OpenShift users, the tech preview of Red Hat Edge Manager for managing edge devices, and an extended collaboration with AMD for AI and virtualization performance.
Red Hat's strategy is to provide a consistent platform across diverse workloads and platforms, integrating existing technologies to reduce complexity and operational overhead.
Key features include the generative AI assistant in OpenShift, support for managing virtual machines in Red Hat OpenShift Virtualization, and the introduction of Red Hat Edge Manager for large-scale edge device management.

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Tech Radar

384

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Windows 11 is getting more AI shortcuts, but is Microsoft in danger of cluttering up the OS with AI creep?

Windows 11's new preview in the Beta channel introduces 'AI actions' for desktop folders, starting with image files.
These AI actions provide shortcuts to change picture backgrounds, erase unwanted objects, and conduct Bing Visual Searches.
Initially, these features only work with JPG and PNG files, but the compatibility is expected to expand over time.
Microsoft plans to bring AI actions to Word, Excel, and PowerPoint files, including features like summarization and creating FAQs.
Users will need a Microsoft 365 subscription and a Copilot subscription to access certain AI functionalities within Microsoft 365 apps.
While Microsoft aims to enhance user experience with AI, some concerns arise about cluttering the interface for those who do not use these features.
The integration of AI functionalities, such as Copilot AI, is part of Microsoft's strategy to increase AI capabilities in Windows 11.
Windows 11's widgets panel has been updated to include Copilot AI-driven stories, which users can disable in settings.
A shift towards more AI integration is evident in Windows 11, raising questions about usability and the importance of these AI features for all users.

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Livescience

167

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Exascale computing is here — what does this new era of computing mean and what are exascale supercomputers capable of?

Exascale computing represents the next frontier in supercomputing, with the ability to process at least 1 quintillion floating-point operations per second.
The first exascale computer, Frontier, operates at 1.102 exaflops, surpassed by El Capitan at 1.742 exaflops.
Exascale supercomputing was instrumental during the COVID-19 pandemic for data analysis and simulations.
Exascale computing requires advanced CPUs and GPUs packed closely to minimize latency within the system.
Heat management is vital for exascale supercomputers due to the high energy consumption and potential component failures.
Reliability is a significant challenge in exascale computing, with high failure rates of components needing continuous monitoring and maintenance.
Specialist operating systems and applications are essential to harness the full power of exascale computing.
Exascale computing results require specialized verification techniques due to the complexity of simulations performed.
Future possibilities include zettascale computing and hybrid quantum/classical supercomputers for even more advanced processing capabilities.
Quantum computing, though not as powerful currently, may eventually outpace exascale computing in solving complex problems.

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Tech Radar

181

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Google's free NotebookLM AI app is out now for Android and iOS – here's why it's a day-one download for me

Google has officially released the NotebookLM apps for Android and iOS, bringing many features from the web version to mobile.
The NotebookLM app allows users to compile information from various sources, summarize it, and answer questions.
Notable features include Audio Overviews for turning sources into podcasts and detailed citation lists for accuracy.
While the NotebookLM apps are available for free, subscribing to Google One AI Premium at $19.99 a month offers additional features like more Audio Overviews and customization options.

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Tech Radar

276

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Intel's Computex 2025 Panther Lake demos showcase power efficiency focus – and also hint at strong gaming performance

Intel showcased Panther Lake processors at Computex 2025 with a focus on power efficiency and gaming performance.
Teasers and claims suggest upcoming Panther Lake processors will use Cougar Cove P-cores and Darkmont E-cores on Intel's new 18A node manufacturing process.
Intel aims to provide great news for upcoming handheld gaming PCs by improving power efficiency and performance with Panther Lake processors.
Intel's new mobile processor lineup aims to match the power efficiency of its previous Lunar Lake lineup, hinting at strong gaming performance for portable gaming systems.

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