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Tech Radar
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Windows 11 suffers more bugs in latest update, with the Start menu hit hard by some frustrating issues
- Windows 11's December update has introduced more bugs, including issues with the Start menu.
- The Start menu problem includes a visual glitch and a bug that causes it to stop working.
- A workaround is available for the Start menu issue, but it requires technical expertise.
- Other reported issues include the 'Safely Remove Hardware' icon staying on the taskbar and display issues.
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Dev
1d
381
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How I enrolled in Microsoft 365 Developer Program
- To enroll in the Microsoft 365 Developer Program and gain full access to unlimited Azure resources, you need to use your personal or work email.
- If you have previously used your email, phone number, or credit card for the developer program, you won't be eligible to register again.
- However, by contacting a Microsoft agent and explaining your situation, you may be offered a new sign-up link with fresh email and phone number.
- To successfully enroll, create a new email, use a phone number that hasn't been used before, and have a bank card that hasn't been used for the developer program.
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Sap
1d
312
Loop Earplugs’ Digital Journey to International Expansion with SAP
- Loop Earplugs has adopted SAP S/4HANA Cloud Public Edition to support international growth.
- Loop Earplugs has grown at a rate of 1,500% over the last four years.
- Loop chose SAP S/4HANA Cloud for its scalability and ability to integrate with existing channels.
- Digital engagement with SAP helped Loop wrap up the buying journey in under four months.
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18 Likes
Dev
1d
38
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The Art of Data Preparation: Building Strong Foundations for ML
- Data preparation is often the unsung hero behind successful machine learning models.
- It involves transforming raw data into a form that can be effectively used for analysis and ML algorithms.
- Data preparation accounts for up to 80% of the time spent on an ML project.
- AWS provides tools like SageMaker Data Wrangler and Ground Truth Plus to streamline data preparation workflows.
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Dev
1d
0
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Building a Cloud Native Serverless Chat On AWS
- The author presents the steps used to build a real-time chat on AWS, leveraging the IoT Core service, albeit quite a straightforward method using AWS serverless capabilities effectively. The approach utilizes the AWS IoT Core regional endpoint that enables real-time communication between connected applications. The article shares an architecture for building real-time chat applications, which is easily understandable, accompanied by useful code snippets, and infrastructure written in CDK, which is readily deployable and testable in any AWS environment.
- The architecture is based on IoT Core Topics as the backbone for real-time messaging coupled with other AWS serverless services that support things like data persistence and authorization. The REST API supports fetching existing messages per channel.
- Clients using the IoT Core service must subscribe to these topics, which is accomplished using IoT Core Topics, facilitating the storage of messages in a DynamoDB table automatically, with other subscribed clients receiving them in real-time. Clients will use the get messages API to obtain previous messages from the database upon connecting.
- There are caveats regarding the authorizer, which proved to be difficult while developing this solution, mainly comprising IoT Core granting permission to the lambda authorizer function for it to work, and the authorizer response being of IoTCustomAuthorizerResult type. The article includes a link to the GitHub repository containing the authorizer's complete code, along with the CDK setup and an example client.
- The article exempts coverage of pricing, but the involved AWS services have been combined at a cheap cost, and users can process hundreds of thousands of messages before the solution becomes relatively costly.
- The architecture laid out in the article provides a good foundation not only for chat systems but for any real-time communication feature envisioned, and it is easy to extend beyond the basic application-level features demonstrated in the article.
- The next article will migrate this solution to AppSync Events, explore options to handle the lack of data persistence, and compare its features with those of IoT Core.
- In conclusion, the article demonstrates the use of AWS serverless capabilities using the IoT Core service to facilitate the development of real-time chat applications. It offers high scalability, easy deployment, and future extension possibilities.
- The article is suitable for developers or architects who are interested in serverless development on the AWS platform.
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Cloudwards
1d
146
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What Is a Public Cloud? Definition, Benefits and Security Explained in 2024
- Public cloud offers remote access to computing infrastructure over the internet, with pay-as-you-go pricing.
- Public cloud requires no upfront investment or long-term commitment, making it cost-effective for short-term projects.
- Security in a public cloud follows a shared responsibility model where public cloud users take care of in-cloud security, while the cloud provider handles the security of the cloud.
- Public cloud is currently the most adopted deployment model. In 2024, 97% of respondents used public cloud compared to 76% using private cloud and 73% using hybrid cloud.
- Public cloud architecture generally comprises the frontend, backend, cloud delivery model and network.
- Public cloud providers offer IaaS, PaaS and SaaS solutions, with a focus on artificial intelligence solutions.
- In the shared responsibility model, the cloud provider is responsible for the security of the cloud, while the user handles the security of workloads in the cloud.
- Some of the most common public cloud security challenges stem from misconfigurations, insider threats, security flaws in third-party tools, unauthorized access, and limited visibility.
- Public cloud is the most adopted cloud deployment model. It is scalable, reliable and offers solid ground for innovation, but the costs and security can get complex, requiring more management effort.
- Examples of public clouds include Amazon Web Services (AWS), Google Cloud, Microsoft Azure, Fly.io and DigitalOcean.
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Socprime
1d
143
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Creating a Regex Pattern Set in AWS WAF
- AWS Web Application Firewall (WAF) allows protection against various types of attacks.
- Regex Pattern Sets help filter malicious requests or enforce specific rules.
- Step-by-step guide on creating a Regex Pattern Set in AWS WAF.
- Best practices for using and updating Regex Pattern Sets.
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Tech Radar
1d
54
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ChatGPT Plus subscribers just got a surprise free gift – unlimited OpenAI Sora access for the holidays
- ChatGPT Plus subscribers get unlimited Sora access over the holidays.
- Sora, the AI video generator, will be free for ChatGPT Plus users during December.
- OpenAI CEO, Sam Altman, announced the surprise gift for subscribers.
- The announcement follows the conclusion of the 12 days of OpenAI event.
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Cloudwards
1d
220
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AWS Pricing: Models, Tiers and Services
- AWS pricing works by primarily charging based on what you use under pay-as-you-go model.
- Discounted rates are offered by AWS when you commit long term and increase your usage volume.
- Regional difference in prices must be considered before choosing a region for deployment.
- AWS offers a free tier to test most services before paying.
- AWS Budgets allows restriction of expenses by setting a threshold for your spending.
- Different pricing models used by AWS include pay-as-you-go, Reservations, Savings Plans, etc.
- AWS Cost Management tools like AWS Budgets, AWS Cost Explorer, etc, optimize AWS costs.
- AWS provides many services with a varying price range which varies across regions, services, tiers, add-ons and usage.
- Different measures like discounted pricing models, matching demand with capacity, removing idle resources help to optimize AWS costs.
- AWS can be very expensive for personal use, but it depends on the services you use and your usage volume.
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Digitaltrends
1d
328
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Google Street View camera captures highly suspicious act, leading to arrests
- Imagery from Google's Street View aided in solving a murder case in Spain.
- A Street View image showed what appeared to be a body-sized bundle being loaded into a car.
- Additional images captured someone transporting a large bundle in a wheelbarrow.
- Police arrested two individuals in connection with the disappearance and murder of a Cuban man.
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19 Likes
Dev
1d
329
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Enable EKS Auto Mode on an existing cluster
- Amazon Elastic Kubernetes Service (Amazon EKS) Auto Mode provides a new capability streamlining Kubernetes cluster management for compute, storage, and networking.
- The introduction of EKS Auto Mode represents a significant shift in how Kubernetes clusters are managed on AWS.
- With EKS Auto Mode, much of the manual effort that previously fell on users is now automated, making it easier to run and scale Kubernetes workloads.
- EKS Auto Mode automates critical infrastructure management tasks, freeing up resources for more important work.
- The key benefits include reduced operational overhead, improved security, and cost optimization.
- The service automatically selects the best-suited instances for the Kubernetes cluster based on the workload's needs, optimizing both performance and cost.
- EKS Auto Mode also ensures that essential Kubernetes plug-ins are installed and updated automatically.
- EKS Auto Mode automates upgrades and security patches, ensuring that clusters remain secure without manual intervention.
- The Cluster IAM Role of the existing EKS Cluster must include sufficient permissions for EKS Auto Mode.
- EKS Auto Mode significantly reduces the operational complexity of running Kubernetes clusters on AWS.
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Dev
1d
349
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Docker for Serverless Computing: Enabling Scalable, Portable, and Flexible Serverless Architectures
- Serverless computing is a cloud computing execution model where the cloud provider manages the infrastructure required to run applications.
- Developers can build and run applications without managing servers, as cloud providers offer serverless platforms.
- Docker can play a significant role in enabling the serverless computing model via providing a consistent environment for developing, testing, and deploying serverless applications.
- Docker containers can serve as the building blocks for isolated execution environments for serverless functions, allowing serverless platforms to offer consistent, portable, and reproducible environments.
- AWS Lambda, Google Cloud Functions, and Azure Functions are examples of popular serverless platforms.
- Docker's portability allows the serverless applications to be packaged in a container, making them portable across different environments.
- With Docker, developers can create custom execution environments for their serverless functions, including specific dependencies or adjusting settings, which otherwise would not be possible.
- Docker containers in Azure Functions enable more flexibility in choosing runtimes and dependencies that may not be supported by the default Azure runtime.
- Using Docker can help simulate serverless environments locally and run serverless applications in containers, facilitating efficient development and testing.
- The use of Docker in serverless computing, while offering several benefits, such as consistency and customization, can pose challenges when it comes to cold starts, cost-effectiveness, and complexity.
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21 Likes
Dev
1d
1.1k
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Creating Smart AI Agents with AWS Bedrock
- AWS Bedrock simplifies creating AI agents by offering pre-trained models, serverless architecture, and seamless integration with AWS services.
- AI agents are autonomous systems that perform tasks without continuous human intervention. They can be chatbots, recommendation systems, or personal assistants. AWS Bedrock provides powerful foundation models, customizable for specific domains, and can integrate with other AWS services like Lambda for dynamic actions.
- Developers can create agents with defined instructions, action groups, and knowledge bases. Advanced features like fine-tuning for specialized tasks and multi-agent systems further enhance customization and scalability for real-world applications.
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Fintechnews
1d
237
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Google Cloud’s Mark Micallef Predicts 4 Key AI Investments for Banks to Thrive in 2025
- The banking industry is on the verge of a major transformation fueled by generative AI (Gen AI).
- AI is revolutionising how banks manage information, streamlining workflows, and empowering employees to focus on higher-value analysis and decision-making.
- AI agents are automating routine tasks and providing hyper-personalised experiences for customers, leading to increased revenue growth for banks.
- Multimodal AI is taking customer service to new heights by seamlessly integrating information and understanding customer requests.
- AI-powered defenses are crucial in fighting financial fraud and enhancing security for customers.
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14 Likes
Dev
2d
284
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API Versioning in .Net Core.
- API versioning helps you to manage and maintain different versions of endpoints.
- Common ways to implement API versioning include URL versioning, header versioning, and query parameter versioning.
- URL versioning requires installing Nuget packages and specifying the supported API version at the controller level.
- Implementing API versioning allows developers to add new functionality without changing existing ones, maintaining compatibility with older versions.
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