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Siliconangle

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Beyond walled gardens: How Snowflake navigates new competitive dynamics

Snowflake is evolving by embracing open data and expanding its governance model into an open data ecosystem while enhancing its simplicity message and governance strategy.
The company is focusing on Systems of Intelligence (SOIs) to become a high-value part of the artificial intelligence-optimized software stack.
Snowflake's shift from an analytic warehouse to enabling intelligent data apps is highlighted, signaling a strategic pivot.
The company is improving its platform to cater not only to traditional analytic workload customers but also data engineering and data science personas.
Snowflake's post-garden strategy aims to turn cooperative openness into control of the System of Intelligence layer, facing competition from various application vendors.
The industry is shifting towards Systems of Intelligence, reframing competitive debates and emphasizing the integration of analytics with operational applications.
Snowflake's strategic focus is on binding analytic insight to operational action before competitors to secure a strong position in the System of Intelligence layer.
The company's Snowflake Summit 2025 introduced various features aligning with an engagement-intelligence-agency model, aiming to expand its total addressable market.
Snowflake's approach includes simplifying data access, extending governance, enhancing data pipelines, and focusing on offering a comprehensive AI application framework.
Snowflake's key challenges include reclaiming data engineering workloads, closing the ingest gap with competing connectors, and solidifying its position in the System of Intelligence high ground.
The company is navigating towards securing control of the rich, governed knowledge graph essential for success in the agent-driven future where enterprise value lies.

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Guardian

371

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UK ministers delay AI regulation amid plans for more ‘comprehensive’ bill

UK ministers have delayed proposals to regulate artificial intelligence to introduce a more 'comprehensive' AI bill in the next parliamentary session.
The new AI bill will address concerns about safety, copyright, and issues related to large language models such as ChatGPT.
Labour's plans for a narrowly drafted AI bill have been delayed, with ministers aiming to align with US administration and include copyright rules for AI companies in the new bill.
The government is facing backlash over copyright rules in a separate data bill but plans to publish economic impact assessments and establish a cross-party working group on AI and copyright issues.

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Medium

Auto-Healing Azure Integrations with Scheduled Retries in Service Bus + Azure Functions

Transient failures in downstream systems led to the need for a controlled, scheduled retry mechanism in an Azure integration project.
The solution involved implementing an auto-healing pattern using Azure Service Bus for scheduling retries and Dead Letter Queue (DLQ) support, along with Azure Functions for message processing.
The high-level retry flow included incrementing retry count on transient failure, scheduling re-queued messages with a delay, and moving messages to DLQ after reaching the maximum retry limit.
This approach, which leveraged Azure Service Bus and Azure Functions, provided a serverless, cost-effective, and Azure-native pattern to improve resilience in message processing flows.

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Tech Radar

119

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Love and hate: tech pros overwhelmingly like AI agents but view them as a growing security risk

A recent survey reveals that despite the enthusiasm for AI agents in enterprises, there is a growing concern about their security risks.
Only 54% of IT professionals claim to have full awareness of the data their AI agents can access, leaving nearly half of enterprises unaware of potential risks.
92% of surveyed professionals agree that governing AI agents is crucial for security, but only 44% have a solid policy in place.
Concerns include unauthorized actions by AI agents, such as accessing unauthorized systems, sharing inappropriate data, and downloading sensitive content, leading to a call for treating AI agents like human users with access controls and audit trails.

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Tech Radar

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Quordle hints and answers for Sunday, June 8 (game #1231)

Quordle hints and answers for Sunday, June 8 (game #1231) provide clues and solutions for the word game.
Players can receive hints to solve the Quordle puzzle and reveal the answers for the specific game.
Hints include information about vowels, repeated letters, uncommon letters, and starting letters of the answers.
The answers for Quordle game #1231 are REBAR, ALERT, PAYEE, and FLUME.
The Daily Sequence answers for the same game are FLESH, WIDTH, GUARD, and RALPH.
Previous Quordle answers from game #1225 to #1230 are also listed in the article.
Players can test their skills in word combinations and enjoy the challenge of solving the Quordle puzzles.
The game involves finding four-letter words based on hints provided for each game.
Quordle continues to engage players with its unique gameplay even after over 1,100 games.
Word game enthusiasts can explore different puzzles like Quordle, Wordle, and more for entertainment.

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Tech Radar

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NYT Strands hints and answers for Sunday, June 8 (game #462)

NYT Strands puzzle for Sunday, June 8, game #462 revolves around the theme 'On Broadway'.
Hint #2 includes clue words like SHINER, MELTS, CRISIS, TRACE, CHAD, and STING.
The spangram for the puzzle has 11 letters and touches the first side at the top of the 1st column and the last side at the bottom of the 4th column.
The answers for game #462 include words like CAST, SCORE, LIGHTS, SINGING, DANCING, COSTUMES, and the spangram solution ITS SHOWTIME.

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Dev

163

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🖥️ Linux Process Management for Beginners: A Day in the Life of a Junior Sysadmin

As a Junior Sysadmin, you learn to monitor and manage Linux processes on company servers.
Creating dummy processes, using real-time tools, and handling misbehaving tasks are key aspects.
Setting up a practice environment involves creating test processes and scripts in a specific directory.
Commands like 'chmod +x' and running processes in the background with '&' are demonstrated.
Monitoring processes in real-time can be done using 'top' and 'htop' tools.
Viewing detailed process information is shown through 'ps aux' and 'pstree -p'.
Cleaning up processes using 'kill ' or 'pkill ' is crucial for system management.
Managing background jobs with 'jobs', 'fg', and 'bg' commands is covered.
Changing process priority using 'nice' and 'renice' commands helps optimize system performance.
Additional tools like 'systemctl status', 'watch', and 'strace' are introduced for advanced troubleshooting.

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Dev

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Step-by-Step guide to Launching an EC2 instance on AWS( Amazon Web Services).

This project involves deploying an AWS EC2 Linux instance and establishing a connection to it using SSH, providing practical experience in deploying cloud infrastructure.
EC2 instance is a virtual server in AWS cloud, while SSH is a secure protocol for remotely accessing and managing EC2 instances securely.
Steps to launch an EC2 instance on AWS: Create an AWS account, search for EC2 in the portal, select 'Launch Instance', choose instance type and AMI, create a key pair, configure security group, review settings, and launch the instance.
After launching the instance, connect using SSH to interact with the operating system remotely, completing the process of creating an EC2 instance on a Linux operating system.

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Bitcoinist

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Crypto Adoption Continues: Apple, X, Airbnb Exploring Stablecoin Integration – Report

Tech giants like Apple, X, Airbnb, and Google are reportedly exploring the adoption of stablecoins to optimize cross-border payments and reduce transaction costs.
Airbnb has been in talks with crypto companies to integrate stablecoins and reduce transaction fees from payment processors like Visa and Mastercard.
Apple has been discussing the integration of stablecoins into its payment infrastructure since January, including talks with Circle.
Other tech companies like Google Cloud and Meta are also exploring stablecoin integrations, with the US regulatory agencies shifting towards establishing clear guidelines for the crypto industry.

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Dev

327

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AWS Amplify Evolution Timeline — 2017 to 2025

AWS Amplify has evolved significantly since its debut in 2017, streamlining the process of creating applications.
Key updates include the introduction of Amplify CLI in 2017, which simplified the creation of Cognito, API Gateway, and S3 resources.
The launch of Amplify Console in 2018 automated the build, test, deploy process, reducing manual tasks like S3 uploads and CloudFront invalidations.
DataStore in 2019 facilitated offline sync and conflict resolution for apps, improving user experience in scenarios like chat systems.
GraphQL Transformer v2 in 2021 enhanced schema management and eliminated manual editing of resolvers and CloudFormation templates.
Amplify Studio × Figma in 2021 enabled auto-generation of React components from Figma designs, streamlining the design-to-implementation process.
Next.js SSR/ISR support in 2022 made server-side rendering and incremental static regeneration seamless for Amplify Hosting.
Monorepo support in 2023 improved build efficiency for projects with multiple SPAs, avoiding duplication of Amplify setups.
Amplify Gen 2 in 2024 introduced type-safe development in TypeScript, simplifying data modeling and deployment.
WAF Integration in 2025 provided one-click OWASP rule sets for security, enhancing protection for e-commerce applications.

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Siliconangle

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Observability’s new role in multicloud security and developer workflows

Unified observability is becoming crucial in managing the complexity of multicloud environments, aiding in operations and security.
Observability platforms integrating telemetry, performance metrics, and security insights are essential for aligning DevOps and SecOps needs.
Developers and security teams require real-time context and proactive alerts from observability platforms to effectively solve problems and address security events.
There is a growing demand for observability solutions that integrate seamlessly with existing developer and operations workflows, focusing on efficiency and cost optimization.

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Dev

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Use Cases for Lazy in AWS CDK

Lazy in AWS CDK is a feature for lazy evaluation, allowing deferred value determination.
It offers methods like Lazy.any(), Lazy.list(), Lazy.number(), and Lazy.string().
Lazy can be used to defer value determination until synthesis is completed.
It is beneficial in scenarios where values need to be resolved later rather than at the time of specification.
Practical examples include consolidating IAM PolicyStatements and handling circular dependencies.
Lazy can be used to consolidate IAM PolicyStatements based on dynamically added values.
It addresses issues like handling circular dependencies and reversing reference orders.
Validation and handling of tokens from Lazy evaluation are crucial for error-free CDK code.
Use addValidation to defer execution of validation until after certain methods are called.
Tokens from Lazy are resolved internally by CDK at synthesis time but can be resolved manually.

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Dev

385

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☁️ AWS Lambda Ki Desi Kahani: Chotu the Serverless Superstar ☕💥

In the heartwarming desi tale of 'Chotu the Serverless Superstar,' a chaiwala from Cloud Nagar becomes the face of serverless computing.
The story explains AWS Lambda operations with a touch of masala, mazaa, and gyaan on its internal workings.
Chotu's unique skill of appearing only when called mirrors how AWS Lambda's cold start works, initializing runtime and function code.
During the invocation phase, Chotu prepares tea, akin to Lambda's code execution based on triggered events.
AWS Lambda's automatic scaling is depicted by Chotu calling his cousins to handle increased customer demand in parallel.
In the cleanup phase, Chotu tidies up while Lambda's execution environment remains warm for a few more minutes for potential reuse.
When demand diminishes, Chotu goes home, symbolizing Lambda's shutdown phase to save resources and costs.
The article concludes by comparing AWS Lambda to a smart chaiwala who works efficiently and takes breaks when not needed.
Chotu's story showcases the phases of Lambda in a relatable desi format, making serverless computing easier to understand.
The narrative includes analogies like Chotu's secret recipe book for Lambda features such as layers, environment variables, and concurrency controls.
For more fun AWS tales and projects explained in desi style, readers are encouraged to follow the Cloud Specialist behind this engaging narrative.

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Tech Radar

323

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AI can write a hit song, but it can’t lift your soul or break your heart

Timbaland has signed an AI pop act named TaTa to his new company Stage Zero, creating an AI-powered music genre named 'A-Pop.'
AI music tools like Suno can quickly generate melodies, harmonies, and full songs, significantly reducing the time needed in music production.
While AI music production is fast and consistent, some believe it lacks the emotional depth and authenticity found in music created by human artists.
The concern is that AI-generated music may lack the creativity, experimentation, and unique emotions that often shape human-made music.
AI's technical prowess doesn't necessarily equate to true artistry; it can produce competent work but may lack the soul and intention of human creations.
Timbaland emphasizes that AI artist TaTa is not just an avatar but a model capable of learning, potentially hinting at AI's evolving role in music creation.
AI can serve as a valuable tool in music production, especially for individuals lacking technical skills, but should ideally complement human creativity rather than replace it entirely.
Despite the advancements in AI music capabilities, many believe that genuine human voices and songs will continue to stand out against AI-generated music.
While AI may become more sophisticated and prevalent in the music industry, the debate persists on whether AI can truly replicate the artistic essence and emotional depth of human-made music.
Regardless of AI's potential, the unique creativity, storytelling, and emotional depth brought by human artists remain a defining feature of music that resonates with audiences.

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Tech Radar

212

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Google upgrades Gemini 2.5 Pro's already formidable coding abilities

The latest update to Google's Gemini 2.5 Pro aims to enhance its coding abilities and address previous issues with formatting and coherence.
The model is still in beta but is anticipated to be the first stable release for Gemini Pro, boasting improved coding capabilities over rival models according to the Aider Polyglot benchmark.
Developers will benefit from 'configurable thinking budgets' to optimize computing power consumption for complex queries, available through Google AI Studio and Vertex AI.
Google has addressed complaints regarding Gemini Pro's creative and conversational aspects by improving writing quality, formatting, and overall responses, positioning it as a long-term stable model for developers and enterprise users.

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