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AWS AWS Partner Network (APN) Blog Reinventing Your Customers’ Business with Generative AI on AWS https://aws.amazon.com/blogs/apn/reinventing-your-customers-business-with-generative-ai-on-aws/ Reinventing Your Customers Business with Generative AI on AWSThe AWS Partner community is energized about the potential of generative AI and we recognize there are unique considerations for bringing these applications into production for commercial use cases Ruba Borno VP WW Channels amp Alliances at AWS shares why AWS Partners are an integral part in ensuring customers realize the full value of generative AI offerings Working together AWS and partners will be guiding the development of business innovations and solutions for customers of all sizes and industries 2023-05-16 18:36:37
海外TECH Ars Technica Feds say Apple engineer stole autonomous driving tech and fled to China https://arstechnica.com/?p=1939631 apple 2023-05-16 18:36:10
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海外TECH DEV Community The Only "CSS Selectors" Illustrations You Will Ever Need🔥 https://dev.to/arafat4693/the-only-css-selectors-illustrations-you-will-ever-need-5bja The Only quot CSS Selectors quot Illustrations You Will Ever NeedBeing a developer I understand the significance of CSS selectors That s why I ve crafted a handy cheat sheet to assist you in swiftly finding the perfect selector for your upcoming project This cheat sheet encompasses the most commonly utilized selectors including class ID attribute descendant and pseudo class selectors Each selector is accompanied by illustrative examples enabling easy comprehension and application Whether you re a novice or an experienced developer this cheat sheet will save you valuable time and streamline your coding process Don t hesitate any longer Explore my Selectors in CSS cheat sheet and witness the transformation of your web pages into stunning masterpieces Do Like ️ amp Share your feedback Visit ‍My Portfolio️My FiverrMy Github‍ ️My LinkedInThanks for your support 2023-05-16 18:28:52
海外TECH DEV Community AWS Lambda Cookbook — Part 6 — Configuration & Feature Flags Best Practices https://dev.to/aws-builders/aws-lambda-cookbook-part-6-configuration-feature-flags-best-practices-54li AWS Lambda Cookbook ーPart ーConfiguration amp Feature Flags Best PracticesWhat makes an AWS Lambda handler resilient traceable and easy to maintain How do you write such a code In this blog series I ll attempt to answer these questions by sharing my knowledge and AWS Lambda best practices so you won t make the mistakes I once did This blog series progressively introduces best practices and utilities by adding one utility at a time Part focused on Logging Part focused on Observability monitoring and tracing Part focused on Business Domain Observability Part focused on Environment Variables Part focused on Input Validation Part focused on how to start your own Serverless service in two clicks Part focused on AWS CDK Best Practices This blog focuses on feature flags and configuration best practices I ll provide a working open source AWS Lambda handler template Python project This handler embodies Serverless best practices and has all the bells and whistles for a proper production ready handler During this blog series I ll cover logging observability input validation features flags dynamic configuration and how to use environment variables safely While the code examples are written in Python the principles are valid for all programming languages supported by AWS Lambda functions You can find all examples at this GitHub repository including CDK deployment code This blog post was originally published on my website “Ran The Builder TL DR VideoThis blog post is also available as a conference talk in the video below Watch the video AWS Lambda Function ConfigurationAn AWS Lambda function configuration is usually a key value pair of parameters accessed during the runtime affecting its logic flow These parameters vary from general settings list of supported regions service URLs etc to complex feature flags definitions enable disable code features During my work on AWS Lambda functions I realized that I needed a quick and straightforward method to change my AWS Lambda function s behavior without changing its code Changing the AWS Lambda function configuration seemed like the right approach as it could alter the output or side effects of the AWS Lambda function However how do you do that quickly How do you store the different kinds of configurations How can you access them efficiently and safely This blog will explain the best practices for storing AWS Lambda configuration and feature flags and provide a fully working Python solution Smart feature flags are feature flags that are evaluated in runtime and can change their values according to session context The Python solution is based on an SDK I developed and donated to the excellent AWS Lambda Powertools GitHub repository There are numerous options for storing AWS Lambda function configuration Let s assume that we have mapped our configuration to a JSON configuration format that we wish to use in our AWS Lambda handler Here are the most common options for storing such configuration Environment variables Bundle the JSON configuration file with the function AWS SSM Parameters store AWS Secrets ManagerAWS DynamoDB table AWS AppConfig configuration We can split these options into two categories static and dynamic configurations By understanding the difference between them and defining each option s use case you can choose the storage solution that fits your requirements Hint it will probably be a mixture of static and dynamic configurations Static VS Dynamic ConfigurationsStatic configurations do not change during the function s runtime thus they are static Static configurations include environment variables or a JSON configuration file bundled with the handler These configurations are deployed with the function and cannot be altered unless the function is redeployed On the other hand dynamic configurations can be altered outside the AWS Lambda function scope and change the function s behavior during runtime Dynamic configuration are stored on AWS SSM parameters store an AWS DynamoDB table or an AWS AppConfig configuration there can be other options too but these are the most common Dynamic configurations are more complex as they require a dedicated CI CD pipeline separate from the AWS Lambda function CI CD pipeline This separation is critical the different pipeline decouples the AWS Lambda function from its configuration and allows to update the configuration without redeploying the AWS Lambda function pipeline Building and maintaining more CI CD pipelines increases complexity but it s worth it These pipelines are fast by design as they have no logic other than uploading a JSON configuration file to an AWS service and require fewer tests than a fully fledged AWS Lambda based service In a production crisis one can quickly revert an incorrect configuration or disable a problematic feature flag instead of redeploying the AWS Lambda function with an updated static configuration while waiting for a very long service CI CD pipeline to finish TL DR Dynamic configurations require a separate fast CI CD pipeline which enables quick reaction time to problems at the expense of the extra CI CD pipeline maintenance What Configuration Storage Option Should You Use Each configuration type has its place Use static configuration for configurations that don t change rapidly and don t require quick changes in production environments Be advised that environment variables have a maximum size limit due to OS restrictions If you reach the limit move the configurations to either a static settings file bundled with the AWS Lambda code or store them as a dynamic configuration You can read more about environment variables and best practices in my blog here A configuration that you expect to change or want to have the ability to change quickly should be saved as a dynamic configuration In addition feature flags by their nature are meant to be stored as dynamic configurations Since we covered static configuration as environment variables in a previous blog let s focus on dynamic configuration and review the requirements for a dynamic configuration utility SDK and choose the best storage option for the dynamic configurations Dynamic Configuration Utility User ExperienceWhen I designed the utility presented in this blog post I wanted to support dynamic configurations and smart feature flags What are Smart Feature Flags Smart feature flags require evaluation in runtime and can have different values for different AWS Lambda function sessions Imagine pushing a new feature into production but enabling it only for specific customers A smart feature flag will need to evaluate the customer name and decide whether the final value is True False according to a set of predefined rules and conditions Smart feature flags are defined by rules conditions and actions determining the final value We will discuss this in detail further down below The RequirementsUse JSON file to describe both configuration values and smart feature flags Provide one simple API to get configuration anywhere in the AWS Lambda function code Provide one simple API to evaluate smart feature flags values During runtime store the configuration in a local cache with a configurable TTL to reduce API calls to AWS to fetch the JSON configuration and total cost Built in support for Pydantic models We ve used Pydantic to serialize and validate JSON configuration input validation and environment variables throughout this blog series so it makes sense to use it to parse dynamic configuration Now that we understand the requirements and the value of having a dynamic configuration in AWS Lambda functions let s discuss the where Where do we store the dynamic JSON configuration AWS AppConfig ーThe Ultimate Dynamic Configuration Storage ServiceLet s recall our storage options By eliminating the static only options we are left with AWS SSM Parameter store AWS Secrets ServiceAWS DynamoDBAWS AppConfigI believe that AWS AppConfig in the ultimate dynamic configuration storage service for AWS Lambda functions Let me explain why AWS AppConfig is a self managed service that stores plain TEXT YAML JSON configuration to be consumed by multiple clients We will use it in the context of dynamic configuration and feature toggles and store a single JSON file that contains both feature flags and configuration values AWS AppConfig might be the apparent service to store AWS Lambda function configuration due to its name alone While researching the configuration specific capabilities of the service it becomes even clearer that AWS AppConfig is a better fit than both AWS DynamoDB and AWS SSM Parameter Let s review its advantages FedRAMP High certifiedFully ServerlessOut of the box support for schema validations that run before a configuration update Out of the box integration with AWS CloudWatch alarms triggers an automatic configuration revert if a configuration update fails your AWS Lambda functions Read more about it here You can define configuration deployment strategies Deployment strategies define how and when to change a configuration Read more about it here It provides a single API that provides configuration and feature flags access ーmore on that below AWS AppConfig provides integrations with other services such as Atlassian Jira and AWS CodeDeploy Click here for details AWS DynamoDB and AWS SSM have different advantages and use cases but they are not optimized for AWS Lambda configuration storage and JSON files You should use AWS SSM Parameter Store for secrets storage or AWS Secrets Manager for more advanced use cases auto rotation RDS integration etc but not for standard configuration It lacks all the configuration specific features described in lines You can store dynamic configurations on DynamoDB However it lacks all the configuration specific features described in lines Let s Deploy a JSON Configuration In the blog series GitHub template configuration deployment to AWS AppConfig is done via a CDK construct that takes care of the logic for you You need to create a separate pipeline for dynamic configuration and use the provided CDK construct You can read more about it here How Does AWS AppConfig Work AppConfig consists of configuration hierarchies Your CI CD pipeline will create an application that correlates to your AWS Lambda service name One application can contain multiple configurations for multiple AWS Lambdas or one configuration used by all AWS Lambda functions in the service the choice is yours Then it will create an environment An application has a list of environments dev stage production etc Each environment can have multiple configuration profiles Each profile defines the current version of a configuration its values in JSON YAML plain text format and the deployment strategy to use when deploying it Once the configuration is deployed it will look like this You can read more about deployment strategies here Fetching Configuration and Feature FlagsWe ll split this part into two fetching dynamic configuration and fetching feature flags AWS Lambda Powertools To The RescueI had the privilege of designing and donating a dynamic configuration utility to the AWS Lambda Powertools repository The utility is named feature flags but it fetches both feature flags and configurations alike The utility integrates with AWS AppConfig out of the box It provides an easy way to consume JSON configuration from AWS AppConfig and save it in a dedicated local cache The cache reduces total cost and improves performance since you pay per AWS AppConfig API call The cache also has a configurable TTL time to live Please note that the utility requires additional IAM permissions that allow appconfig GetLatestConfiguration and appconfig StartConfigurationSession Let s Fetch Dynamic ConfigurationLet s define our AWS Lambda handler dynamic configuration JSON file based on the AWS Lambda handler presented in the previous blogs the orders service A customer can purchase multiple quantities of an item as part of an order Each customer belongs to an origin country The handler handled order requests and was introduced in the previous blogs of the series Let s add the dynamic configuration The service supports order delivery to only a closed list of countries The list can be dynamically updated and countries can be either added or removed A potential JSON configuration looks like this Let s define the corresponding Pydantic schema Now let s define our SDK that uses the feature flags utility and add Pydantic JSON configuration parsing We will define two functions The first function get dynamic configuration store will be used to initialize and get the configuration utility singleton instance The second function parse configuration is used to fetch our JSON configuration without feature flags and parse it with the MyConfiguration schema model we have just defined Let s take a look at the code below In line we import the feature flags utility from AWS Lambda Powertools and rename the import to a more fitting name DynamicConfiguration because it provides access to both feature flags and configuration values In lines to we initialize the AWS AppConfig configuration store which serves as the configuration getter class In line we use the environment variables parser we implemented in part of the series and get the environment variables that the AWS AppConfig configuration store requires It requires several new environment variables AWS AppConfig configuration application name AWS AppConfig environment name AWS AppConfig configuration name to fetch Cache TTL in minutes max age in line I d use the default minutes In line we define the JSON dictionary key to store smart feature flag definitions We will use the key features Feature flags are optional and don t have to be part of the JSON file However we will define two flags later on In line we initialize the AWS Lambda Powertools feature flags utility In line we fetch the JSON file from AWS AppConfig and use the raw configuration i e the authentic JSON file that was uploaded In line we use Pydantic to parse the configuration according to the schema and catch any schema validation errors We return a dataclass instance once the validation is successful so we can access any configuration value easily Let s see this code in action in an AWS Lambda handler code This code snippet is a simplified version of the handler gradually introduced in previous blog posts In line we initialize the environment variables because the parse configuration function uses them in line In line we call parse configuration and provide our configuration schema class name This API can be used anywhere in the AWS Lambda function code After the first call the JSON file is saved in the cache for minutes and any call to parse configuration will not incur additional AWS AppConfig billing In line we print the configuration values and access it as a regular data class In lines we handle any dynamic configuration error that might occur AWS AppConfig connection error or the JSON file failing to fulfill our schema validation model Let s Define and Fetch Smart amp Regular Feature FlagsLet s assume that our AWS Lambda handler supports two feature flags Ten percent discount for the current order True False Premium feature for the customer True False A ten percent discount is a regular feature flag According to store policy a ten percent discount can be turned on or off It doesn t change according to session input it is True or False for all inputs On the other hand premium features are enabled only to specific customers Premium features feature flag is based on a rule It s a smart feature flag The feature flags value is False for all but very specific customers To use AWS Lambda Powertools feature flags capabilities we need to build a JSON file that matches the SDK language You can read more about it here Non Smart Regular Feature Flags DefinitionDefining the ten percent discount flag is simple It has a key and a dictionary containing a default value key with a boolean value Let s assume the feature flag is enabled Let s add it to the current configuration we already have Smart Feature Flags JSON DefinitionNow let s add the smart feature flag premium features We want to enable it only for customers by RanTheBuilder The JSON structure is simple Each feature has a default value under the default key It can any valid JSON value boolean int etc Each feature can have optional rules that determine the evaluated value Each rule consists of a default value to return in case of a match ーw hen match and a list of conditions Only one rule can match Each condition consists of an action name which is mapped to an operator in the rule engine code and a key value pair that serves as an argument to the SDK rule engine Our configuration JSON file now contains feature flags smart and non smart and general configuration Features flags are defined only inside the root features key In this example the rule is matched which returns a True value for the flag when the context dictionary has a key customer name with a value of RanTheBuilder EQUALS RanTheBuilder There are many supported actions for conditions such as STARTSWITH ENDSWITH EQUALS etc You can read more about the rules conditions logic and supported actions here Putting It All TogetherWe will define the feature flags names in an enum so they can be fetched by enum values instead of hardcoded “magic strings The updated configuration schema Python file will now look like this Let s redefine our AWS Lambda handler dynamic configuration JSON file and add both feature flags evaluating calls We will put both feature s flags definition under the features key in the JSON file which matches the envelope variable in the AppConfig store we defined in line of the dynamic configuration SDK file In line we fetch the configuration from AWS AppConfig and save it as a whole in the cache In line we evaluate the non smart configuration value Since it is non smart it has no session context the dictionary context is empty The default value is False if the feature flag definition has been removed accidentally from the JSON file in AWS AppConfig In the current configuration line will print True value In line we evaluate the smart feature flag We pass the customer name as part of the context dictionary In this case the rule will match and the feature evaluates True However if the customer name were different the rule would not have matches and the feature would evaluate to False 2023-05-16 18:28:21
海外TECH DEV Community The Power of Smart Contracts: Automating Trust in the Digital Age https://dev.to/nomzykush/the-power-of-smart-contracts-automating-trust-in-the-digital-age-3bko The Power of Smart Contracts Automating Trust in the Digital Age IntroductionIn today s fast paced digital world where trust is often at a premium imagine a technology that could automate agreements eliminate intermediaries and ensure secure transactions Enter smart contracts the cutting edge solution that holds the power to revolutionize industries across the board In essence smart contracts are self executing digital agreements that are stored on a blockchain They are programmed to automatically trigger and enforce the terms of an agreement when predefined conditions are met What makes smart contracts truly remarkable is their potential to automate trust thereby eliminating the need for intermediaries and traditional paper based agreements Smart contracts have the potential to revolutionize various industries by automating agreements and building trust through blockchain technology By streamlining processes increasing transparency and enhancing security they are set to reshape the way we conduct business from supply chain management and insurance to real estate and beyond Now buckle up as we embark on a journey to explore the immense power of smart contracts and their potential to transform the digital landscape We ll dive into real world use cases highlighting the advantages they offer in sectors such as supply chain management insurance and real estate So let s uncover the secrets behind these groundbreaking digital agreements and discover how they are poised to reshape the very foundations of trust in the digital age Understanding Smart ContractsIn the realm of the digital age where trust and efficiency are paramount smart contracts have emerged as a revolutionary solution These self executing agreements powered by blockchain technology have the potential to transform the way we conduct business and interact with one another Let s delve into the definition core features and advantages of smart contracts unraveling their inner workings and the immense value they bring Definition and Core Features of Smart ContractsAt its core a smart contract is a computer protocol designed to facilitate verify and enforce the negotiation or performance of an agreement It operates on the principle of code is law where the terms and conditions of the agreement are embedded directly into lines of code Once these conditions are met the contract executes automatically leaving no room for ambiguity or dispute One of the defining features of smart contracts is their self executing nature By leveraging blockchain technology smart contracts eliminate the need for intermediaries or trusted third parties They function autonomously executing actions based on predefined rules and triggering events This decentralized approach ensures transparency and immutability as the contract s code and the resulting transactions are stored on a distributed ledger that is accessible to all parties involved Explanation of How Smart Contracts Function on Blockchain PlatformsSmart contracts function within blockchain platforms which serve as the underlying infrastructure for executing and recording transactions These platforms such as Ethereum utilize a decentralized network of computers known as nodes to validate and maintain the integrity of the contracts When a smart contract is deployed on a blockchain platform it becomes part of a shared and tamper proof ledger Each participating node independently verifies the validity of the contract and its associated transactions through complex cryptographic algorithms This consensus mechanism ensures that all nodes agree on the state and execution of the contract enhancing security and trust Additionally the use of blockchain technology provides smart contracts with an auditable and transparent history Every transaction and state change is recorded on the blockchain allowing participants to trace the contract s execution from inception to completion This transparency fosters trust among parties as the process is open for scrutiny and verification Advantages of Smart Contracts over Traditional AgreementsThe advantages offered by smart contracts over traditional agreements are manifold reshaping the way we establish and execute contracts Firstly smart contracts eliminate the need for intermediaries such as lawyers or notaries thereby reducing costs and minimizing the potential for human error or manipulation With smart contracts the code enforces the terms and conditions ensuring compliance without relying on subjective interpretations Another key advantage lies in the efficiency and speed of smart contracts Traditional agreements often involve cumbersome paperwork manual reviews and time consuming negotiations In contrast smart contracts automate these processes expediting the execution and reducing the overall time required Additionally smart contracts operate removing the limitations of business hours and time zones thus enabling global transactions and collaborations Moreover smart contracts enhance security by design The use of cryptography and blockchain immutability ensures that once a contract is executed its contents are tamper proof and cannot be altered This reduces the risk of fraud and fosters trust between parties Furthermore the transparency of blockchain based smart contracts enables auditing and regulatory compliance promoting accountability and fairness Real World Use CasesIn today s complex global economy supply chain management poses numerous challenges ranging from a lack of transparency to inefficient processes However with the advent of blockchain technology and smart contracts these challenges can be effectively addressed revolutionizing the way supply chains operate Addressing Supply Chain Challenges The traditional supply chain is plagued by issues such as fragmented information lack of trust among stakeholders and the potential for fraud or counterfeiting These challenges lead to inefficiencies delayed shipments and compromised product quality However smart contracts offer a promising solution by automating and streamlining supply chain agreements while ensuring trust and transparency among participants Enhancing Traceability and Transparency One of the key benefits of smart contracts in supply chain management is the ability to enhance traceability and transparency throughout the entire journey of a product By leveraging blockchain technology every step of the supply chain can be recorded in an immutable and transparent manner From the origin of raw materials to the manufacturing process logistics and final delivery all relevant information can be securely stored and accessed by authorized participants Use Case Traceability and Transparency in Food Supply ChainsA prime example of how smart contracts are transforming supply chains is in the food industry Food safety and traceability are paramount to consumers regulators and manufacturers With smart contracts the journey of a food product can be tracked recorded and verified at every stage For instance a smart contract can be implemented to automatically record the origin quality inspections transportation details and storage conditions of perishable goods This level of transparency helps identify and rectify any bottlenecks or issues that may arise in the supply chain such as identifying the source of contamination in case of a foodborne illness outbreak Additionally consumers gain peace of mind knowing that the food they purchase meets stringent quality and safety standards By leveraging smart contracts for traceability and transparency supply chain participants can optimize operations reduce fraud eliminate counterfeit products and build stakeholder trust InsuranceThe insurance industry known for its intricate processes and time consuming paperwork has long been ripe for disruption Traditional insurance processes often suffer from inefficiencies delays and a lack of transparency However the emergence of smart contracts on blockchain technology presents a transformative solution that can automate insurance claims and policy management revolutionizing the way the industry operates Overview of the Traditional Insurance Process and its Limitations The conventional insurance landscape is entrenched in lengthy paperwork manual verifications and an over reliance on intermediaries This outdated approach leads to delays disputes and increased administrative costs With paper based documentation and cumbersome verification processes policyholders often find themselves caught in a maze of complex interactions and protracted claims settlement How Smart Contracts Can Automate Insurance Claims and Policy Management Smart contracts powered by blockchain technology automate and streamline insurance processes eliminating friction and improving operational efficiency By encoding policy terms and conditions directly into code smart contracts enable instant policy issuance eliminating the need for time consuming paperwork and manual verifications This seamless and efficient process offers policyholders a smooth experience enhancing customer satisfaction When it comes to claims processing smart contracts leverage automation to expedite settlements Claims data can be securely stored on the blockchain minimizing paperwork and reducing potential errors The transparency and immutability of blockchain ensure that all parties involved have access to the same information mitigating disputes and accelerating claims resolution Case Studies Showcasing the Potential Benefits Real world case studies underscore the transformative impact of smart contracts in the insurance industry For example a leading insurer successfully implemented smart contracts to automate their claims process By eliminating manual intervention and harnessing the trust and transparency of blockchain they witnessed a substantial reduction in fraud instances The streamlined claims process not only enhanced customer satisfaction but also expedited claims settlement ensuring policyholders received their payouts promptly Additionally another insurance provider integrated smart contracts into their policy management system introducing automatic premium discounts based on predefined conditions This innovative approach incentivized policyholders to adopt healthier habits and improved overall risk management for the insurer These compelling case studies illustrate the tangible benefits of smart contracts in insurance Reduced fraud faster claims processing enhanced transparency and improved customer satisfaction are just a few examples of the transformative power that smart contracts bring to the industry Real EstateTraditional real estate transactions have long been plagued by numerous challenges from complex paperwork to time consuming processes However with the advent of blockchain technology and smart contracts the real estate industry is undergoing a remarkable transformation Let s delve into how smart contracts are streamlining property transfers and automating payment settlements revolutionizing the way we buy and sell real estate Overcoming Traditional Challenges Traditional real estate transactions often involve multiple intermediaries extensive paperwork and protracted negotiations These factors contribute to delays increased costs and heightened risks However smart contracts provide an innovative solution by automating and digitizing the entire process Smart contracts enable the creation of self executing agreements eliminating the need for intermediaries and streamlining the transfer of property By leveraging blockchain technology all transactional data is securely stored and can be accessed in a transparent and immutable manner This enhances the trust between parties and reduces the potential for disputes or fraudulent activities Streamlining Property Transfers and Payment Settlements Smart contracts simplify the transfer of property by automating key aspects of the transaction Once predefined conditions are met e g successful completion of inspections verification of funds the smart contract automatically executes the transfer of ownership This eliminates the need for manual intervention expedites the process and reduces the risk of errors or delays Furthermore smart contracts enable automated payment settlements They can be programmed to release funds from buyers to sellers upon the fulfillment of predetermined conditions such as title transfers or completion of legal formalities This ensures that both parties fulfill their obligations without the need for intermediaries or escrow services streamlining the financial aspect of real estate transactions Impact of Blockchain Based Real Estate Platforms The emergence of blockchain based real estate platforms has further accelerated the adoption of smart contracts in the industry These platforms provide a secure and decentralized environment for buying selling and managing real estate assets They facilitate seamless transactions transparent record keeping and efficient property verification processes One notable example is Propy a blockchain powered platform that enables global real estate transactions Propy leverages smart contracts to automate the transfer of property titles and securely store ownership records on the blockchain This simplifies cross border transactions and enhances transparency opening up new opportunities for investors and buyers worldwide Another impactful platform is ShelterZoom which offers a digital marketplace for buying and selling real estate using smart contracts The platform provides features like offer management document storage and real time negotiation capabilities By eliminating the need for intermediaries and offering a user friendly interface ShelterZoom enhances the efficiency and accessibility of real estate transactions Advantages of Automating Agreements with Smart ContractsIn the dynamic digital age smart contracts have emerged as a groundbreaking innovation with the potential to revolutionize various industries By automating agreements and harnessing the power of blockchain technology smart contracts offer a host of advantages that pave the way for a more efficient secure and transparent future Transparency and Immutability A Pillar of TrustSmart contracts built on blockchain technology provide an unparalleled level of transparency and immutability to agreements The decentralized nature of blockchain ensures that every transaction and condition within a contract is recorded and verifiable fostering trust and eliminating the need for intermediaries These contracts create an immutable audit trail enabling all stakeholders to access a transparent and tamper resistant record By promoting transparency smart contracts empower parties to have a clear understanding of the terms and conditions minimizing misunderstandings and disputes A Streamlined Approach to Reducing Intermediaries and Associated Costs One of the most compelling advantages of smart contracts is their potential to reduce the number of intermediaries involved in traditional agreements By automating the execution and enforcement of contractual obligations smart contracts eliminate the need for intermediaries such as lawyers brokers and other middlemen This streamlined approach not only simplifies the process but also leads to significant cost savings for all parties involved Cutting out intermediaries reduces fees commissions and administrative expenses enabling businesses and individuals to allocate resources more efficiently Increased Efficiency and Speed Accelerating TransactionsSmart contracts enable the automation of complex processes and the execution of predefined actions once specific conditions are met This automation eliminates manual tasks reduces human error and expedites the overall contract lifecycle In industries such as supply chain management insurance and real estate where multiple parties are involved smart contracts facilitate seamless coordination and faster transaction settlement By removing time consuming manual processes businesses can experience accelerated operations resulting in enhanced productivity and customer satisfaction Enhanced Security and Reduced FraudSecurity and trust are paramount in any agreement and smart contracts provide an extra layer of protection By leveraging the cryptographic nature of blockchain technology smart contracts ensure that transactions are secure traceable and resistant to tampering The decentralized nature of blockchain makes it extremely challenging for malicious actors to manipulate or forge contract terms providing a robust framework against fraud Additionally since smart contracts are executed automatically and based on predefined rules the risk of human error or intentional manipulation is minimized further bolstering security and confidence in the agreement Challenges and ConsiderationsIn the rapidly evolving landscape of smart contracts where automation and trust converge there are bound to be challenges and considerations that demand our attention As we explore the potential of smart contracts to revolutionize industries it is crucial to understand and address the obstacles that lie in our path Scalability and Technical Limitations of Smart ContractsIn realizing the full potential of smart contracts scalability remains a critical challenge As blockchain networks grow issues of transaction speed resource consumption and network congestion arise Smart contracts being executed on the blockchain are subject to these limitations However innovative solutions such as layer scaling solutions and sharding techniques are actively being explored to overcome these barriers Through advancements in technology and the collaborative efforts of the blockchain community we can pave the way for more scalable and efficient smart contract platforms Legal and Regulatory ConsiderationsAs smart contracts disrupt traditional agreements legal and regulatory frameworks must adapt to keep pace Ensuring compliance and enforcing contractual obligations within the digital realm poses unique challenges Legal recognition jurisdictional complexities and the need for standardized contractual terms require careful attention Governments and regulatory bodies worldwide are actively exploring and shaping the legal landscape for smart contracts aiming to strike a balance between innovation and consumer protection Engaging in constructive dialogue and collaboration between technology pioneers and lawmakers will be crucial to address these considerations effectively Interoperability and Standardization ChallengesThe true potential of smart contracts lies in their ability to seamlessly interact with diverse systems and platforms However achieving interoperability and standardization presents its own set of challenges With multiple blockchain networks and protocols in existence ensuring seamless communication and cross chain compatibility is vital Developing common standards protocols and frameworks will foster interoperability enabling smart contracts to transcend individual platforms Initiatives such as cross chain bridges and industry collaborations are emerging to address this challenge promising a future of interconnected smart contract ecosystems Future Potential and Implications Exploring the Untapped Potential of Smart Contracts in Other IndustriesThe transformative power of smart contracts extends far beyond the industries we have explored so far As we continue to delve into the possibilities it becomes clear that smart contracts have the potential to revolutionize a wide range of sectors promising a future where trust and efficiency are seamlessly woven together One industry that stands to benefit significantly from smart contracts is healthcare Imagine a world where medical records are securely stored on a blockchain accessible to authorized parties with the click of a button Smart contracts could automate consent management insurance claims and even facilitate seamless collaborations between healthcare providers By removing intermediaries and reducing administrative burdens smart contracts could enhance patient care and streamline processes in a sector ripe for innovation My article on how blockchain benefits modern healthcare is available here Another promising area lies within the realm of intellectual property and copyright protection Smart contracts can enable artists musicians and creators to securely register their work on a blockchain establishing indisputable ownership rights This would revolutionize the current landscape by simplifying the process of licensing royalties and distribution ensuring that artists receive fair compensation and reducing the risk of piracy Impact on Traditional Legal Frameworks and IntermediariesThe impact of smart contracts reaches far beyond specific industries Traditional legal frameworks and intermediaries are now facing a disruptive force that challenges their very existence With self executing agreements and automated enforcement mechanisms smart contracts have the potential to reshape the legal landscape Gone are the days of relying solely on lawyers notaries and intermediaries to facilitate and enforce agreements Smart contracts provide an alternative offering greater transparency efficiency and cost effectiveness This shift will require legal systems to adapt and embrace this new technology providing clarity on the legal recognition and enforceability of smart contracts Lawmakers and regulators must keep pace with these advancements to ensure a smooth integration of smart contracts into existing legal frameworks Integration with Emerging Technologies such as Internet of Things IoT and Artificial Intelligence AI The true potential of smart contracts lies in their integration with other emerging technologies such as the Internet of Things IoT and Artificial Intelligence AI This convergence has the power to create a dynamic ecosystem of interconnected systems further enhancing the capabilities and impact of smart contracts The Internet of Things can provide real time data inputs to smart contracts enabling automated actions based on predefined conditions For example a smart contract could automatically initiate maintenance services for industrial equipment when certain performance thresholds are met This level of automation can optimize operational efficiency and reduce downtime ultimately leading to significant cost savings Additionally when combined with Artificial Intelligence smart contracts can enable sophisticated decision making processes By leveraging AI algorithms smart contracts can analyze vast amounts of data detect patterns and make informed decisions autonomously This integration opens up a world of possibilities from automated investment strategies to intelligent risk assessments transforming industries like finance logistics and supply chain management ConclusionIn conclusion smart contracts have revolutionized various industries bringing about unprecedented efficiency transparency and trust Their potential benefits and future opportunities are immense as they continue to reshape sectors such as finance supply chain management and real estate Embracing the transformative power of smart contracts in the digital age opens doors to a future of streamlined processes and global economic inclusion 2023-05-16 18:06:44
海外TECH DEV Community What My Cousin Vinny can teach us about debugging https://dev.to/propelauthblog/what-my-cousin-vinny-can-teach-us-about-debugging-293j What My Cousin Vinny can teach us about debuggingIf you haven t seen My Cousin Vinny yet go watch it real quick we ll wait Great movie right Marisa Tomei absolutely deserved her Academy Award In case you didn t watch a whole movie in between the first and second line of this post the central plot of the movie involves two people on trial for a crime they didn t commit There are multiple witnesses who all claim to have seen them and they call up one of their cousins Vinny to defend them this summary doesn t come close to doing it justice though What does that have to do with debugging customer issues Well there s actually a few things Witnesses are unreliableIf you ve ever been in Customer Success or just been on the receiving end of an unusual ticket that you need to fix you know that your customer s account of what s happening is just one piece of the puzzle And while I would recommend…Pictured here not an ideal customer success strategy…yelling at them until they admit that grits take minutes to cook or whatever your products version of that is you should clarify exactly what the user is seeing That way you won t waste a ton of time chasing down the wrong issue A simple comment like “I can t edit my settings could mean anything from “Your APIs are down to “The validation error isn t displaying correctly to “Someone changed my permissions and I am not allowed to edit settings anymore One of those isn t even a bug Your questions might be BSIt s really easy when you know your product inside and out to make assumptions about what a bug can be The unfortunate truth is that those assumptions can blind you to real issues Pictured here your users as you ask a BS questionThis can be made worse if you go into a debugging situation assuming the customer doesn t know as much as they do This might feel somewhat contradictory to the first point but I don t think it is Your customers can be mistaken or use different language than you would use but they still are seeing behavior that they weren t expecting If you ask your questions assuming you already know the answer you might end up missing the real customer issue or a scarier underlying bug If only I knew what he knowsWhile having a conversation with a customer about what they are seeing is a good first step you may need to rely on other sources to help you fix it You can think of the entire process as collecting evidence and the conversation bug report is just one piece of that There are tools like Sentry which can provide stack traces or you can set up an ELK stack for managing your logs traces At PropelAuth we introduced user impersonation so you log into your product as your customer and see what they see The amount of evidence you need to gather will vary depending on the situation However having a few tools in your toolbelt ahead of time will simplify any process that involves debugging customer issues Closing argumentsDebugging may seem like a simple process but it actually can be incredibly noisy The next time you are struggling with a bug that you just can t reproduce try rechecking your assumptions Does the user s report of what happened make sense or do you need to clarify something Is there more information you can gather that will help you get to the bottom of it If you aren t careful you might be accidentally convicted of murder or…you know whatever your product s equivalent of that is 2023-05-16 18:02:05
Apple AppleInsider - Frontpage News Beats Studio Buds+ are Apple's worst-kept secret and arrive on May 17 https://appleinsider.com/articles/23/05/16/beats-studio-buds-are-apples-worst-kept-secret-and-arrive-on-may-17?utm_medium=rss Beats Studio Buds are Apple x s worst kept secret and arrive on May After a ridiculous amount of rumors and definitive leaks for almost two months the Beats Studio Buds are finally on the brink of becoming official Beats Studio Buds This has been a long time coming with the earliest signs of life cropping up in March of A beta of iOS hinted at an unreleased Studio Buds at the time and that name has been all but guaranteed at this point Read more 2023-05-16 18:25:16
海外TECH Engadget Skullcandy updates Crusher ANC headphones with more battery life and better bass https://www.engadget.com/skullcandy-updates-crusher-anc-headphones-with-more-battery-life-and-better-bass-182609276.html?src=rss Skullcandy updates Crusher ANC headphones with more battery life and better bassSkullcandy is refreshing its popular Crusher ANC headphones with a second generation model that brings plenty of new features to the table all at a lower price Perhaps the biggest improvement with this iteration is the battery life as these headphones get up to hours of life with active noise cancellation disabled and hours with ANC enabled The original version of the Crusher ANC headphones maxed out at hours of juice per charge The Crusher line has been widely praised for its bass heavy audio response and the new ANC headphones continue this tradition The exterior boasts a rotary dial for adjusting the bass on the fly with the options to zero in on a specific number or choose from a variety of presets You can also use the Skull iQ app to create your own presets that transfer over to the headphones These are modern headphones so they ship with modern features like hands free voice control multipoint pairing Bluetooth and a dedicated button to launch Spotify It also sports a quad microphone design that Skullcandy says increases the efficacy of ANC in addition to allowing for a transparent ambient mode This is the second version of the Crusher ANC despite several Crusher models without active noise cancellation so you d expect a price increase to accompany the added features Instead the opposite is true The new Crusher ANC headphones cost which is cheaper than the original s asking price The new design looks similar to the old one but the materials appear to be of a slightly higher quality The Crusher ANC headphones are available today directly from the company This article originally appeared on Engadget at 2023-05-16 18:26:09
海外TECH Engadget A third former Apple employee has been charged with stealing self-driving car tech https://www.engadget.com/doj-charges-a-third-former-apple-employee-with-stealing-self-driving-car-tech-180824584.html?src=rss A third former Apple employee has been charged with stealing self driving car techFor many years rumors have been flying around that Apple has been working on a self driving car or at least an electric vehicle with some autonomous functionality Now a third former employee has been accused of stealing some of that technology for a Chinese self driving car company A federal court in the Northern District of California has unsealed charges against Weibao Wang a former Apple software engineer Wang started working at the company in as part of a team that developed hardware and software for autonomous systems ーtechnology that could conceivably wind up in self driving cars According to the indictment in November Wang accepted a job with a US subsidiary of a Chinese company that was developing self driving cars but waited more than four months to tell Apple that he was quitting After Wang left Apple in April the company found that he quot accessed large amounts of sensitive proprietary and confidential information quot in the lead up to his departure the Department of Justice said quot Large quantities of data taken from Apple quot were found during a law enforcement search of Wang s Mountain View residence that June Wang told agents that he wasn t planning to travel but he flew back to China that night according to the indictment Wang has been charged with six counts of stealing or attempting to steal trade secrets He faces a maximum prison sentence of years and a fine of for each count However that depends on officials being able to extradite Wang who remains in China as CNBC nbsp reports This marks the third instance of a former Apple employee being accused of stealing autonomous trade secrets for Chinese entities Xiaolang Zhang who worked at Apple at the same time as Wang pleaded guilty last year to stealing technology from Apple s car division Zhang was apprehended at San Jose International Airport in while trying to board a flight to China In another former employee was arrested before they could flee to China Jizhong Chen allegedly stole self driving car tech for a Chinese company Chen pleaded not guilty and the case is proceeding in federal court This article originally appeared on Engadget at 2023-05-16 18:08:24
海外科学 NYT > Science Some Pharmacies Are Offering Unauthorized Ozempic Alternatives https://www.nytimes.com/2023/05/16/well/live/ozempic-alternatives-semaglutide.html alternativesregulators 2023-05-16 18:51:46
海外TECH WIRED The All-Clad Factory Seconds Kitchenware Sale Is Back https://www.wired.com/story/all-clad-factory-seconds-may-2023-sale/ deals 2023-05-16 18:17:53
ニュース BBC News - Home Sam Altman: CEO of OpenAI calls for US to regulate artificial intelligence https://www.bbc.co.uk/news/world-us-canada-65616866?at_medium=RSS&at_campaign=KARANGA intelligence 2023-05-16 18:34:59
ニュース BBC News - Home Tory donor case reignites debate on access and influence https://www.bbc.co.uk/news/uk-65613697?at_medium=RSS&at_campaign=KARANGA javad 2023-05-16 18:28:00
ニュース BBC News - Home Marathon one of the best days of my life - Rob Burrow https://www.bbc.co.uk/news/uk-england-leeds-65614722?at_medium=RSS&at_campaign=KARANGA charity 2023-05-16 18:00:39
ビジネス ダイヤモンド・オンライン - 新着記事 元陸上自衛官が教える、月曜朝から憂鬱な人へ「金曜夜までモチベが続く言葉」 - ニュースな本 https://diamond.jp/articles/-/321254 元陸上自衛官が教える、月曜朝から憂鬱な人へ「金曜夜までモチベが続く言葉」ニュースな本月曜日の朝がしんどいー。 2023-05-17 03:55:00
ビジネス ダイヤモンド・オンライン - 新着記事 仕事ができないと判定された人のメールに届く「遠回しな痛恨フレーズ」とは - ニュースな本 https://diamond.jp/articles/-/322556 新潮新書 2023-05-17 03:50:00
ビジネス ダイヤモンド・オンライン - 新着記事 MSのアクティビジョン買収、最後まで目が離せない - WSJ PickUp https://diamond.jp/articles/-/322985 wsjpickup 2023-05-17 03:45:00
ビジネス ダイヤモンド・オンライン - 新着記事 FRB・ECBの「微妙なかじ取り」、利上げ減速でも量的引き締め維持は何を示すか - 経済分析の哲人が斬る!市場トピックの深層 https://diamond.jp/articles/-/322986 保有資産 2023-05-17 03:40:00
ビジネス ダイヤモンド・オンライン - 新着記事 中国経済回復に賭ける投資家、中国株は敬遠のなぜ - WSJ PickUp https://diamond.jp/articles/-/322984 wsjpickup 2023-05-17 03:35:00
ビジネス ダイヤモンド・オンライン - 新着記事 AI投資の追い風、半導体不況を和らげるか - WSJ PickUp https://diamond.jp/articles/-/322983 wsjpickup 2023-05-17 03:30:00
ビジネス ダイヤモンド・オンライン - 新着記事 先進B2B企業に学ぶ、来るべき「東証大変革期」に勝ち残るESG経営 - 「ESG」で勝つ経営 https://diamond.jp/articles/-/323030 日本企業 2023-05-17 03:25:00
ビジネス ダイヤモンド・オンライン - 新着記事 「肥満症」治療薬が登場、外科手術に匹敵する効果の一方で重大な副作用も - カラダご医見番 https://diamond.jp/articles/-/322946 重大 2023-05-17 03:20:00
ビジネス ダイヤモンド・オンライン - 新着記事 不安やストレスで寝れないとき「絶対にしてはいけないこと」ワースト1 - 佐久間宣行のずるい仕事術 https://diamond.jp/articles/-/322024 佐久間宣行 2023-05-17 03:15:00
ビジネス ダイヤモンド・オンライン - 新着記事 NHK「あさイチ」で話題沸騰! たった3日でスッキリ、しかも絶対リバウンドしない 石阪京子さんの片づけ術とは?[見逃し配信スペシャル] - 書籍オンライン編集部から https://diamond.jp/articles/-/322947 石阪京子 2023-05-17 03:10:00
ビジネス ダイヤモンド・オンライン - 新着記事 【成長株の見つけ方】小売・流通業の成長企業のチェックポイントとは? - 株の投資大全 https://diamond.jp/articles/-/323008 そんな方に参考になる書籍『株の投資大全ー成長株をどう見極め、いつ買ったらいいのか』小泉秀希著、ひふみ株式戦略部監修が月日に発刊された。 2023-05-17 03:05:00
Azure Azure の更新情報 General availability: Seamlessly upgrade your Application Gateway V2 WAF configuration to a policy https://azure.microsoft.com/ja-jp/updates/general-availability-application-gateway-v2-config-to-policy-upgrade-experience/ General availability Seamlessly upgrade your Application Gateway V WAF configuration to a policyAzure s regional Web Application Firewall WAF on Application Gateway now supports a fully automated experience when upgrading your WAF from configuration to policy 2023-05-16 19:00:01

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