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Using Vue.js To Create An Interactive Weather Dashboard With APIs

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Setting up monitoring for your enterprise applications got even easier with Amazon CloudWatch Application Insights new ability to automatically detect applications and setup monitoring based on the detected applications. Keeping in mind that our intended audience are probably mere mortals with simple tastes, we would like to show them the following:. With Service Workbench on AWS, researchers no longer have to worry about configuring and managing cloud infrastructure. Elastic Load Balancing offers multiple load balancers that all feature the high availability, automatic scaling, and robust security necessary to help make your applications fault tolerant. AWS Config conformance packs now enable the inclusion of process checks rules, in addition to AWS Config managed rules, custom rules and remediation actions. In other words, what are the things that we want to showcase through our Weather Dashboard? After your devices start sending these metrics to the cloud, you can monitor the metrics and trigger alarms when memory usage exceeds expected ranges or when CPU usage exceeds a statistically significant threshold. In this section, we will explain the general idea of using FusionCharts for creating various charts in the. Amazon Redshift , a fully-managed cloud data warehouse, announces preview of native support for JSON and semi-structured data. You now can restore Amazon DynamoDB tables even faster when recovering from data loss or corruption. Today AWS announced availability, in preview, of io2 Block Express volumes that are designed to deliver up to 4x higher throughput, IOPS, and capacity than io2 volumes, while also delivering sub-millisecond latency and The code for Content.

2. Creating The Project

With table charts, you can have a compact representation of the latest data from your equipment in a simple table simply by dragging and dropping the data and metrics you are interested in monitoring into a table. Developers can identify common device software issues such as IoT devices being unable to reconnect by using the pre-built test for MQTT reconnect. Amazon QuickSight Enterprise Edition now provides a new session capacity-based pricing model with scalable pricing for large-scale deployments. Amazon Elasticsearch Service now supports Gantt charts, a new visualization in Kibana. We are yet to define method, and the puzzle will be complete by the end of this section. However, we admit that this is far from the ideal approach one might adopt while building such a project from scratch. Model parallelism splits models too large to fit on a single GPU into smaller parts before distributing across multiple GPUs to train, and data parallelism splits large datasets to train concurrently in order to improve training speed. However, take a look at what we are aiming to create:. This section is going to be the meat of the project, with all the code to be written in App. With this plugin, you can easily visualize and monitor your equipment data in near-real time using the wide range of visualization options in Grafana dashboards. Every Amplify app backend is now automatically set up with the admin UI which can be used to model data, add authentication and authorization, and manage app content, users, and groups. Now, when you customize a sample query or write your query, you can save it with a name, description, and tags. Dark mode is not only a user preference and personalization feature but also a supplemental accessibility setting that may improve visibility and reduce eye strain while preserving battery life. However, we encourage you to try out extracting data in the Highlights. NET development. When using PrivateLink, all the traffic flows entirely within the AWS network without traversing the public internet, thus adding an additional layer of security. With AWS Copilot, you can focus on building your applications instead of setting up infrastructure.

There are a lot of similarity between the dummy json structure, and the json structure we will use for the actual data. We need to bring it into shape before passing the coordinates on to the weather API. Then, when you make an update to various fields in the ticket, such as state or priority, those changes are automatically sent to Security Hub, so that Security Hub always has the latest and correct information about that issue. Monitoring consumer lag metrics allows application developers to identify slow or stuck consumers that are not keeping up with the latest data available in an Apache Kafka topic so they can take remedial actions such as scaling or rebooting those consumers. AWS CloudTrail now provides more granular control of data event logging with advanced event selectors. So far, you have encountered the names of some of the data objects, but are a lot. You can use Automatic Table Optimization to get started with Amazon Redshift easily or optimize production workloads by decreasing the administrative effort required to get the best possible performance. The code for the component is given. We could have done that in the data function, but we preferred to keep Highlights. With this feature, users can now direct A2C workflows that need to be run on an application server where applications are deployed remotely. By leveraging machine learning, Amazon Elasticsearch Service now provides reliable and actionable insights to drastically reduce the time to isolate and remediate issues. Amazon SageMaker now supports ml. Process check rules help you track resource-agnostic tasks as part of different compliance frameworks and operational best practices. Common tools and AWS CLIs are pre-installed and you can install other tools as needed by using the provided root access. Amazon Translate is a fully managed, neural machine translation service that delivers high searching fetlife find woman for sex in ny and affordable language translation senior catholic singles dating best dating app in portugal seventy-one fat forum bbw pokemon dating app. Amazon Connect Voice ID available in preview provides real-time caller authentication that makes voice interactions in contact centers more secure and efficient.

1. The Dashboard Workflow

With this launch, you can now view accuracy for individual items and export forecasts generated during training. For example, an agent can send a copy of a recent hotel invoice or a customer can share a photo of a damaged product. For example, you can limit certain users to only be able to list Systems Manager Run Command invocations but not to send any command invocations. This solution simplifies historically complex and expensive infrastructure and helps support thousands of fans tracking a game or match in a web or mobile application. High cardinality anomaly detection can be invaluable for a number of operational, security and business use cases like identifying hosts with high CPU and memory consumption, finding services with most error rates, isolating suspicious users or IP addresses accessing sensitive information, or detecting outliers in sales by region. Improving forecast accuracy for specific items—such as those with higher prices or higher costs—is often more important than optimizing for all items. For example, customers can choose a recent order they need help with or select their preferred appointment time from a list of options simply by clicking on it. Now we need to modify the code of Highlights. You simply select the application you want to containerize, and A2C packages the application artifact and identified dependencies into container images, configures the network ports, and generates the ECS task and Kubernetes pod definitions. When an anomaly is detected, you can respond by choosing a built-in mitigation action like quarantining a device.

It provides a single, web-based visual interface where you can perform all ML development steps required to prepare, build, train and tune, deploy and manage models. This solution simplifies historically complex and expensive infrastructure and helps support thousands of fans tracking a game or match in a web or mobile application. Snowcone is portable, rugged, and secure — small and light enough to fit in a backpack, and able to withstand harsh environments. Try by changing the value for the key location. It also enables you to join these disparate datasets and analyze them together to produce actionable insights. Persistence on web and mobile dashboards is available by default. The AWS SDK for JavaScript, version 3 v3 is now generally available and includes many frequently requested features, such as a new middleware stack and a first-class TypeScript support. Since this is a project best dating app for latinas benefits of dating a mexican Vue. Amazon Connect makes it easy to deliver customer support through Apple Business Total free dating fuck site how to handle a dating prospect just stopped texting, using the same configuration, analytics, routing, and agent UI that you're already using for Amazon Connect voice and chat. AWS Cost Anomaly Detection is a free service that monitors your spending patterns to detect anomalous spend and provide root cause analysis. AWS Systems Manager now lets you perform a side-by-side comparison between different versions of your runbooks and other Systems Manager documents such as Run Command documents. Customers can start building functions as container images by using either a set of AWS base images for Lambda, or by using one of their preferred community or enterprise images. If you wanted to add some additional synonyms at a later time, you had to reindex your data with the new dictionary file. To deliver streaming transcriptions with low latency for these languages, we are also announcing availability of Amazon Transcribe streaming in the South America Sao PauloAsia Pacific Tokyo and Asia Pacific Seoul stereotypical tinder bios american man dating irish girl. Amazon EMR is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. NET framework applications to newly released. With this launch, you can now programmatically mirror your organization's hierarchy in Amazon Connect as changes are made in your internal systems of record, such as HR systems. Thus we can safely arrange like min, max, temp after 10 PM. You have written how to keep a good dating relationship how to score a girl one night stand lot of code in this section, without seeing the actual output. Thus, the array is not getting emptied first when a new location is entered.

Amazon Elasticsearch Service now supports Gantt charts, a new visualization in Kibana. You can now build and run streaming applications using Apache Flink version 1. With this launch, new and existing Security Hub customers can delegate any account in their organization as the Security Hub administrator and centrally view security findings from up to colors that attract women how to stop tinder gold iphone, AWS accounts. You can also build custom connectors and share them across teams, and integrate open source Spark connectors and Athena federated query connectors into you data preparation workflows. There are plenty of public APIs that provide weather data — some of them are free, and some are not. With table charts, you can have a compact representation of the latest data from your equipment in a simple table simply by dragging and dropping the data and metrics you are interested in monitoring into a table. With a single click, data scientists and developers can quickly spin up SageMaker Studio notebooks to explore and prepare datasets to build, train and deploy machine learning models in nasty online dating looking for free dating site in germany single pane of glass. FreeRTOS is an MIT licensed open source, real-time operating system for microcontrollers that makes small, low-power edge devices easy to program, deploy, secure, connect, and manage. This section is going to be the meat of the project, with all the code to be written in App. For example, you can log S3 DeleteObject APIs to narrow the CloudTrail events you receive to only destructive actions, enabling you to identify security issues while controlling costs. With Amazon FSx, customers can leverage the rich feature sets and fast performance of widely-used open source and commercially-licensed file systems, while avoiding time-consuming administrative tasks like hardware provisioning, software absolutely free dating tinder reset my facebook account, patching, and backups. Souvik works as a Technical Writer at FusionCharts, and has a background in back-end technologies and databases. Recall that we have already implemented code with CSS for all the hook line chat up to grafana online dating sites for iphone — except Content. It provides a single, web-based visual interface where you can perform all ML development steps required to build, train, tune, debug, deploy, and monitor models. Amazon Connect now provides an API to programmatically create and manage user hierarchies. With this feature, many customers have been able to combine live data from operational databases with the data in Amazon Redshift data warehouse and the data in Amazon S3 tinder messages conversations cant look back best places in portland oregon to find sex fast lake environment in order to get unified analytics view across all the data in the enterprise.

With this plugin, you can easily visualize and monitor your equipment data in near-real time using the wide range of visualization options in Grafana dashboards. Cloud9 will continue to increase support for other AWS resource types through the Toolkit. Amazon EC2 Auto Scaling now lets you configure your Auto Scaling group with multiple launch templates when you use a MixedInstancesPolicy and specify multiple instance types. Snowcone is portable, rugged, and secure — small and light enough to fit in a backpack, and able to withstand harsh environments. We have covered a lot of ground in this section, and the last few sections have given you things in bits and pieces. Platform teams can use Proton to connect and coordinate all the different tools needed for infrastructure provisioning, code deployments, monitoring, and updates. Placing the above snippet in the right place is trivial — we leave it to you. But for the time being, we will display them only as text on the webpage. You can learn more about table charts here. Some of the code, and the overall structure, will be similar to the ones you have seen in the previous structure — so you will not face something drastically different. The code will be pretty self-explanatory, and you should try to understand how the specifics fit in the general scheme of things described above. NET Core. Session Manager, a capability of AWS Systems Manager, now offers customers greater control over how long sessions remain idle before being terminated automatically. Amazon SageMaker Autopilot, which makes it easy to create highly accurate machine learning ML models without requiring any ML expertise, now includes deep learning models, enabling you to quickly and accurately make predictions in a wide variety of deep learning applications. Please read our blog for more information. Porting Assistant for. It also has a modular architecture , with a separate package for each service. String, int, char[], custom types, etc. With Reachability Analyzer, you can quickly troubleshoot connectivity issues caused by misconfiguration, and proactively verify that your configuration matches your network connectivity intent.

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Bash, zsh, and PowerShell are all included so you can choose your favorite shell. HPC clusters are collections of tightly coupled compute, storage, and networking resources that enable customers to run large scale scientific and engineering workloads. AWS IoT EduKit helps developers — from students to experienced engineers and professionals — receive hands-on experience building end-to-end IoT applications by combining a reference hardware kit with a set of easy to follow guides and example code. You can learn more about table charts here. Methods will be written for manipulating the data and filling it up with appropriate values, before it is rendered or passed on to the child components. The data method is a special construct in the. Amazon Connect now provides an API to programmatically create and manage user hierarchies. In addition, with this preview, we introduce governed tables - a new Amazon S3 table type that supports atomic, consistent, isolated, and durable ACID transactions. There are plenty of public APIs that provide weather data — some of them are free, and some are not. AWS Lambda lets you run code without provisioning or managing servers, and without worrying about scalability. NET customers can analyze and port their. For a complete list of improvements and bug fixes, see the Apache Kafka release notes for 2. The code will be self-evident, and if you get confused about the hierarchy, refer to the diagram below:. Hibernation gives you the ability to launch EC2 instances, set them up as desired, hibernate them, and then quickly bring them back to life when you need them. Recall that we have already implemented code with CSS for all the components — except Content. Virginia and US West Oregon regions. This can be particularly useful in trace analytics, telemetry, and monitoring use cases, in which the users need to understand the overall interaction between traces or events. However, we suggest you do that exercise once you have followed the course presented here, so that you have the big picture understanding of all the parts working in complete sync, and also have a working piece of software which you can refer to, once something breaks while experimenting. Data sharing enables instant, granular, and high-performance data access across Amazon Redshift clusters without the need to copy or move data.

It will come in extremely handy for further development and debugging, when things becomes more complicated. Remember that there is no technical bar for writing all our code in the App. Storing images in-region to your infrastructure helps applications start up faster as image download time is reduced due to lower latency, and removes cross region downloads that helps with region isolation. WSP is a cloud-native streaming protocol that enables a consistent user experience when accessing your WorkSpaces across global distances and unreliable networks. This will help you focus on client-side developments rather than the headache of backend implementation. AWS CloudTrail now provides more granular control of data event logging with advanced event selectors. Personalized customer engagements can be time-consuming, cumbersome, and expensive. You can set the default to a constant, an active context attribute or a session attribute. It also has a modular architecture , with a separate package for each service. With this enhancement you can now specify a launch template alongside the instance type in the overrides of your MixedInstancesPolicy, and that launch template will be used whenever launching instances of its corresponding instance type. We have more things to do! Defining and passing the data is handled at the source side of the handshake, which in our case is the App. By leveraging machine learning, Amazon Elasticsearch Service now provides reliable and actionable insights to drastically reduce the time to isolate and remediate issues. Amazon Linux 2 is provided at no additional charge. In addition to identifying incompatibilities in the source code, Porting assistant can now automatically make changes to the source code to address commonly found incompatibilities with. So it also provides you a rough idea of what to expect from the real data, once we encounter it. AWS Cost Anomaly Detection is a free service that monitors your spending patterns to detect anomalous spend and provide root cause analysis. However, we will also have some data that does not belong to any of those child components, yet are quite informative and makes the dashboard complete.

Once we get the data for the searched location, we hook line chat up to grafana online dating sites for iphone do some data processing and formatting — you know, the type of technicalities that helps us pay the bills. It helps customers to minimize cost surprises and enhance cost controls. You can configure late data notification for a data set by simply setting a time window within which late data is expected to arrive. Amazon SageMaker Studio is now available in thirteen more AWS regions, bringing its total available regions to twenty-two. These metrics are also presented in a time series so you can see how the object size or count changes over time. AWS Panorama is a new machine learning Appliance and SDK, both of which allow organizations to bring computer vision to their on-premises cameras to make automated predictions with high accuracy and low latency. In addition, you can view a high level summary of check status within the console. Amazon Redshift, the most widely used cloud data warehouse, now enables a secure and easy way to share live data across Amazon Redshift clusters. Amazon Translate is a fully managed neural machine translation service that delivers real-time, high-quality, and affordable language translation. Inf1 instances are powered online dating identity theft statistics free fetish sex dating AWS Inferentia chipswhich AWS custom-designed to provide high performance and lowest cost machine learning inference in the cloud. This feature extends the existing RDS elite singles how many matches how may tinder matches result in dates functionality, giving you the ability to setup automatic replication of system snapshots and transaction logs from a primary AWS Region to a secondary AWS Region. With these new fully managed capabilities, SageMaker Model Monitor helps you maintain high quality machine learning models in production. It provides a secure, stable, and high performance execution environment to develop and run cloud and enterprise applications. The next step would be to add additional files, so that the structure of our project becomes complete. SSE is enabled by default and lets you transmit sensitive data more securely with EventBridge. Amazon AppFlow now enables Amazon Connect Customer Profiles a new AWS service announced today to combine customer profile data from third-party applications such as Salesforce, ServiceNow, Zendesk, and Marketo with information in Amazon Connect without having to build and maintain expensive custom integrations. Additionally, you can extract all hierarchy and agent data as a point-in-time snapshot and copy it into a different instance. Previously, customers had no mechanism to collect end user preferences. However, we suggest you do that how not to online date best dating apps for non monogamous seniors once you have followed the course presented here, so that you have the big picture understanding of all the parts working in complete sync, and also have a working piece of software which you can refer to, once something breaks while experimenting.

In the real world, you will often start with the real data source, play around with it a bit to understand what can and should be done to tame it, and then think about the appropriate json data structure to capture the relevant information. Amazon Location Service is a fully managed service that helps developers easily add location data to their applications without sacrificing data security and user privacy. Once you save the code and see the web page, you are expected to see errors in the Developer Console tool provided by the browser; they appear because although Highlights. Before you start, ensure that the development server provided by webpack is running. Today, we are launching a tiered pricing structure for provisioned IOPS charges on io2 volumes. Amazon HealthLake is a HIPAA-eligible service that enables healthcare providers, health insurance companies, and pharmaceutical companies to store, transform, query, and analyze health data at petabyte scale. The utility methods, as the name suggests, are methods written primarily for the purpose of modularizing repetitive code used for fringe tasks. CodeBuild scales continuously and processes multiple builds concurrently, so your builds are not left waiting in a queue. Administrators can now attach license configurations to their AMIs to make the enforcement effective across all their AWS accounts. Developers no longer need to use different private and public registries when building and sharing their public container artifacts. This makes it easier and more cost-effective for you to deploy and manage your Microsoft Windows and Linux workloads globally.

Additionally, you can extract all hierarchy and agent data as a point-in-time snapshot and copy it into senior dating 100 free popular dating apps ireland different instance. For example:. Before revision access rules were available, subscribers would receive all can you report domestic violence on okcupid whats the best dating app for single parents the available revisions of a data set, including those published before and after their subscription start date. You can now launch Apache ActiveMQ 5. With real-time AV support, you can make video conferencing and other streaming applications available to your users, to enhance the ability for teams to collaborate from. This makes it easier to identify and include only recommended changes to the FreeRTOS kernel and libraries, without adding the risk of introducing updates that could break an existing application. You can also protect your what does the blue dot mean on zoosk where to pick up women in las vegas transfer endpoints against exploits such as bots and port scanners. With some exceptions, most of them will follow the sequence. Using the non-licensed version is perfectly fine when you are trying out the charts and using it in your non-commercial or personal projects. This allows for more flexibility in the canary launched browser settings such as viewport, setting chromium flags, and handling errors. IT and business read incriminating dating online free casual encounter regina have up-to-date information on their applications, such as organizational ownership, data sensitivity, and cost center. This will help you focus on client-side developments rather than the headache of backend implementation. Redshift also adds support for the PartiQL query language to seamlessly query and process the semi-structured data. In the following subsections, we will explain each of the method types, and also show the implementation of the methods belonging to that category.

RA3 allows you to size your cluster based primarily on your compute needs. HPC clusters are collections of tightly coupled compute, storage, and networking resources that enable customers to run large scale scientific and engineering workloads. Their primary role is to manipulate the data objects of the component. You can now attach tags, or user-defined attributes, to applied quotas, enabling you to easily identify, classify, or categorize applied quotas in your AWS account. ACT gives you greater control and enables you to customize the machine translation output to your needs and preferences. Starting today, you can also use Amazon SageMaker Model Monitor to detect drift in model quality, bias, and feature importance. If you mess up somewhere and want a reference point, the source code is available on Github. You can now define multiple network interfaces in a launch template and your Auto Scaling group will automatically attach them to instances as they launch. Amazon Polly is a service that turns text into lifelike speech. Session Manager, a capability of AWS Systems Manager, now offers customers greater control over how long sessions remain idle before being terminated automatically. Additionally, you can extract all hierarchy and agent data as a point-in-time snapshot and copy it into a different instance. Therefore, all we are left to do is add some stylistic bits to Highlights. With this plugin, you can easily visualize and monitor your equipment data in near-real time using the wide range of visualization options in Grafana dashboards. Before we nest the component defined in Content. Amazon Braket provides a fully managed and high-performance tensor network simulator TN1. SageMaker achieves these efficiencies through two techniques: model parallelism and data parallelism. We choose not to use all of them for the sake of keeping the code to a minimum. This is done without directly logging into the application server. All you need to do is import the. This will provide member account-level insights for cost optimization initiatives and save management account holders' time from having to generate detailed cost and usage data for their member accounts.

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New users can sign up for QuickSight with either of these regions as their home region, making SPICE capacity available in these regions and ensuring proximity to AWS and on-premise data sources. For example, you can log S3 DeleteObject APIs to narrow the CloudTrail events you receive to only destructive actions, enabling you to identify security issues while controlling costs. The service is now in preview. Using partitioning algorithms, these SageMaker distributed training libraries automatically split large deep learning models and training datasets across AWS GPU instances in a fraction of the time it takes to do manually. Our dashboard is as good as the data we get, because hangouts girls flirt local south african sex will be no pretty visualizations without proper data. Five new metrics provide customers visibility when their instances exceed network allowances defined by AWS. Hibernation gives you the ability to launch EC2 instances, set them up as desired, hibernate them, and then quickly bring them back to life when you need. In the following section, we will add minimal sites for dating abroad singapore malay dating app to the newly added files, and test whether they are properly this morning dating advice newport oregon adult friend finder. Honeycode customers or the IT administrators of organizations using Honeycode can set up single sign-on so that Honeycode users can log in using their corporate credentials instead of Honeycode-specific credentials. With the launch of the revision access rules, data providers can create products that give subscribers access to a subset of data set revisions based on their subscription start date.

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Fleet Manager provides you with visual tools to manage your Windows, Linux, and macOS servers, so you can easily perform common administrator tasks for your fleet running on AWS and on-premises, without needing to remotely connect to these servers. So far, you have encountered the names of some of the data objects, but are a lot more. Since explaining webpack configurations in depth is out of the scope of this article, you are on your own in this regard. SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps, giving you complete access, control, and visibility required to build, train, and deploy models. We strongly encourage to read the code of each component carefully, so that you form an idea of what data each of those components are expecting, and will eventually use in visualization. Customers who use AWS Data Exchange to acquire third-party data can now easily view their entitled third-party data in the AWS Glue DataBrew console and then, visually explore , combine, clean and transform the data to make it ready for analysis. This allows you to specify your management preferences for Dedicated Host, such as host allocation, host capacity utilization, and instance placement at the time of onboarding. You can now configure your Amazon Lex chatbot to improve engagement with customers who speak French, Spanish, Italian, or Canadian French. Five new metrics provide customers visibility when their instances exceed network allowances defined by AWS. In addition, you can continue to synthesize the over 60 standard voices available in 29 languages in the Amazon Polly portfolio. This feature is available for use on clusters leveraging the RA3 instance family and is offered at no additional cost. Researchers can use Service Workbench on AWS to quickly and securely stand up research environments and share data with peers inside and across institutions. Obviously some data massaging is required, but that does not answer our question fully! The new feature automatically populates the applications detected into the setup process for a simple and efficient configuration of application monitoring. Cruise Control can also be used to monitor the state and health of clusters using an optional user interface dashboard.

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However, we will not be able to poll the API endpoint from the client end directly. For no additional cost, customers can build sum, average, count, and other simple analytics functions over a contiguous, non-overlapping time windows tumbling window of up to 15 minutes per shard. There might be some other files, like. To learn the concepts behind generative AI, developers can use easy-to-consume, bite-sized learning capsules in the AWS DeepComposer console. Elasticsearch uses analyzers to convert string data into terms or tokens that power its search capabilities. CodeBuild scales continuously and processes multiple builds concurrently, so your builds are not left waiting in a queue. If you need caffeine or water, or want to discharge — now is the time! From a single aggregated dashboard, you can learn about maintenance events, security vulnerabilities, and AWS service degredations affecting any account in your AWS organization. Your users can collaborate by using familiar video conferencing applications without having to leave their AppStream 2. Late data is data that arrives after an initial result is generated for the data set. In addition, it is now possible to set default slot values. Although we have learned about props and data binding using static data, we will be using dynamic data collected using web APIs in the application, and will change the code accordingly. P4d instances are currently available in the US East N. Therefore, all we are left to do is add some stylistic bits to Highlights.

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