teleren/devto huggingface dataset:
Networking on AWS - Part 7
Published: 2023-02-14 19:57:52

The future of networking on AWS is expected to bring more advanced features and services that make it easier to build highly available, secure, and performant applications. Here are some key areas where advancements are likely to be seen:

Serverless Networking
AWS Lambda is a popular service that allows you to run code without provisioning or managing servers. Serverless networking is an area where we are likely to see advancements in the future, which will enable developers to build highly scalable and performant applications without having to worry about networking.

AWS is already taking steps towards this, with services such as AWS App Mesh that help you to manage and monitor microservices in a serverless environment. App Mesh is a service mesh that enables you to monitor, manage, and control microservices across multiple AWS accounts and Kubernetes clusters.

Hybrid Networking
Many organizations have a mix of on-premises and cloud-based resources. Hybrid networking is an area where we are likely to see advancements on AWS, which will make it easier to connect on-premises resources with cloud-based resources.

AWS offers services such as AWS Direct Connect, which provides a dedicated network connection from your on-premises data center to AWS. With Direct Connect, you can establish private connectivity between your data center and AWS, making it easier to transfer data and resources.

Network Security
Network security is a critical concern for organizations of all sizes. AWS is likely to continue to invest in network security, making it easier to secure your deployment and meet compliance requirements.

AWS offers a range of security services, including AWS Firewall Manager, AWS WAF, AWS Shield, and AWS Network Firewall. These services help you to protect your applications and data from cyber threats and comply with regulatory requirements.

Multi-Cloud Networking
Many organizations use multiple cloud providers to meet their needs. Multi-cloud networking is an area where we are likely to see advancements on AWS, which will make it easier to manage and connect resources across multiple cloud providers.

AWS has already taken steps towards multi-cloud networking with the release of AWS Transit Gateway, which allows you to connect your VPCs, VPNs, and on-premises networks to a central hub. This makes it easier to manage connectivity across multiple AWS accounts and regions.

Conclusion

In conclusion, the future of networking on AWS is expected to bring more advanced features and services that make it easier to build highly available, secure, and performant applications. Advancements are likely to be seen in serverless networking, hybrid networking, network security, and multi-cloud networking.

Staying up-to-date with the latest advancements in networking on AWS is essential to create a highly available and secure architecture for your applications on AWS. By following best practices and keeping up-to-date with the latest advancements in networking on AWS, you can build a resilient, scalable, and secure infrastructure for your applications.
Networking on AWS - Part 6
Published: 2023-02-14 19:55:14

In the previous parts, we discussed the basics of networking on AWS, setting up and configuring a VPC on AWS, advanced networking concepts on AWS, best practices for networking on AWS, and monitoring and troubleshooting networking on AWS. In this part, we will discuss some common networking use cases on AWS.

Load Balancing

Load balancing is a common networking use case on AWS. You can use Elastic Load Balancing (ELB) to distribute incoming traffic across multiple instances in a single availability zone or across multiple availability zones.

ELB automatically routes traffic to healthy instances and monitors the health of instances. This ensures that traffic is always routed to healthy instances and that your application remains available in the event of an instance failure.

Highly Available Applications

Another common networking use case on AWS is creating highly available applications. To create highly available applications, you can use multiple availability zones, Amazon Route 53, and Elastic Load Balancing.

By using multiple availability zones, you can ensure that your application remains available in the event of an outage in one availability zone. Amazon Route 53 allows you to route traffic to healthy instances in multiple availability zones, while Elastic Load Balancing distributes incoming traffic across multiple instances.

This ensures that your application remains available and performs well, even in the event of an instance failure or an outage in one availability zone.

Private Connectivity

Private connectivity is another common networking use case on AWS. You can use Amazon VPC peering to connect multiple VPCs and enable private connectivity between them.

Amazon VPC peering allows you to connect VPCs in the same region or in different regions. This enables you to create a secure and private network between multiple VPCs and share resources and data between them.

Conclusion

In conclusion, load balancing, highly available applications, and private connectivity are common networking use cases on AWS. By using tools and services such as Elastic Load Balancing, Amazon Route 53, and Amazon VPC peering, you can create highly available and secure architectures for your applications on AWS.

It is also essential to keep up-to-date with the latest features and best practices on AWS to ensure that your deployment remains secure and compliant with industry standards. By following these best practices and using these common networking use cases, you can create a highly available and secure architecture for your applications on AWS.
Networking on AWS - Part 5
Published: 2023-02-14 19:53:49

In the previous parts, we discussed the basics of networking on AWS, setting up and configuring a VPC on AWS, advanced networking concepts on AWS, and some best practices for networking on AWS. In this part, we will take a closer look at monitoring and troubleshooting networking on AWS.

Monitoring Networking on AWS

To monitor networking on AWS, you can use various tools such as CloudWatch, VPC Flow Logs, and third-party monitoring tools.

CloudWatch allows you to monitor your VPCs, subnets, and instances. You can use CloudWatch to monitor metrics such as CPU utilization, network traffic, and disk usage.

VPC Flow Logs allow you to capture information about the traffic flowing in and out of your VPC. You can use VPC Flow Logs for troubleshooting, security analysis, and performance analysis.

Third-party monitoring tools such as Datadog, New Relic, and Nagios can also be used to monitor networking on AWS.

Troubleshooting Networking on AWS

To troubleshoot networking on AWS, you can use various tools such as CloudWatch Logs, VPC Flow Logs, and Network Performance Insights.

CloudWatch Logs allows you to monitor and troubleshoot issues with your VPCs, subnets, and instances. You can use CloudWatch Logs to capture logs and metrics from your instances and analyze them to identify issues.

VPC Flow Logs allow you to troubleshoot issues with your VPCs, subnets, and instances. You can use VPC Flow Logs to identify issues with network traffic, such as dropped packets and rejected connections.

Network Performance Insights allows you to troubleshoot issues with your network performance. You can use Network Performance Insights to identify issues with latency and packet loss.

Conclusion

In conclusion, monitoring and troubleshooting networking on AWS are essential to ensure that your deployment is secure, reliable, and performant. By using tools such as CloudWatch, VPC Flow Logs, and third-party monitoring tools, you can monitor your deployment and identify issues quickly.

By using tools such as CloudWatch Logs, VPC Flow Logs, and Network Performance Insights, you can troubleshoot issues with your VPCs, subnets, and instances, and ensure that your deployment remains secure and compliant with industry standards.

It is also essential to keep up-to-date with the latest features and best practices on AWS to ensure that your deployment remains secure and compliant with industry standards. By following these best practices, you can create a highly available and secure architecture for your applications on AWS.
Format currency in Swift
Tags: ios, swift, currency, string
Published: 2023-02-14 19:47:18

Recently I have done quite an amount of work on formatting currency in Swift project, here are some tricks on how to format number in Swift:

## Format currency with auto  currency symbol

By using the `NumberFormatter` class, we can convert numbers into string(s), and vice versa. More conveniently, we can also configure a `NumberFormatter` object to display currency values in a specific locale with a specific currency symbol automatically. For example, € in European countries, $ in Australia and son on.

```swift
let value = 100.0
let currencyFormatter = NumberFormatter()
currencyFormatter.numberStyle = .currency
currencyFormatter.locale = Locale(identifier: "en_US")

let formattedValue = currencyFormatter.string(from: value as NSNumber)
print(formattedValue) // "$100.00"

```

## Format currency with max 2 decimals

Moreover, we can also format the currency values in specific format, such as converting 100.78 to $100.78:

```swift
let formatter = NumberFormatter()
formatter.numberStyle = .currency
formatter.minimumFractionDigits = 0
formatter.maximumFractionDigits = 2

let amount1 = 100.78
let formattedAmount1 = formatter.string(from: NSNumber(value: amount1))!

print(formattedAmount1) // Output: "$100.78"

// input is whole amount
let amount2 = 100
let formattedAmount2 = formatter.string(from: NSNumber(value: amount2))!

print(formattedAmount2) // Output: "$100"

// input is whole amount
let amount3 = 100.1
let formattedAmount3 = formatter.string(from: NSNumber(value: amount3))!

print(formattedAmount3) // Output: "$100.1"

```

`minimumFractionDigits` meaning if the original value is whole amount or just 1 decimal part, it will only show 0 or 1 decimals, see above examples on `amount2` and `amount3`.

## Format currency with always 2 decimals

Bear the above example in mind, we can also set up the formatter which always displaying 2 decimals (or any number of decimals you want) for currency values:

```swift
let formatter = NumberFormatter()
formatter.numberStyle = .currency
formatter.minimumFractionDigits = 2
formatter.maximumFractionDigits = 2

let amount = 123456.789
let formattedAmount = formatter.string(from: NSNumber(value: amount))!

print(formattedAmount) // Output: "$123,456.79"

```

For more details: https://needone.app/format-currency-in-swift/
Big Data on AWS - Part 5
Published: 2023-02-14 19:45:44

In part one to four of this blog series, we explored various aspects of big data processing and analysis on AWS, including AWS services, best practices, and common use cases. In this final part, we will discuss some challenges and considerations for big data processing on AWS.

Data security
Data security is a major concern for big data processing and analysis, as large amounts of sensitive data are often involved. AWS provides several security services and features, such as AWS Identity and Access Management (IAM) and AWS Key Management Service (KMS), that can help to ensure the security of data on AWS.

Cost management
Cost management is another important consideration for big data processing on AWS. AWS provides several cost optimization tools, such as AWS Cost Explorer and AWS Budgets, that can help users to monitor and optimize their costs. Users should also consider using serverless architectures and automation to reduce costs.

Data governance
Data governance involves managing data quality, integrity, and access. AWS provides several services, such as AWS Glue and AWS Lake Formation, that can help users to manage data governance. Users should also consider defining data standards and policies to ensure consistency and compliance.

Scalability and performance
Scalability and performance are critical considerations for big data processing and analysis. AWS provides several services, such as Amazon EMR and Amazon Redshift, that are highly scalable and can handle large amounts of data. Users should also consider optimizing their environments for performance, such as by using partitioning and indexing.

Data integration
Data integration involves integrating data from multiple sources, such as databases, APIs, and file systems. AWS provides several services, such as AWS Glue and AWS Data Pipeline, that can help users to integrate their data. Users should also consider using a data integration strategy, such as extract, transform, and load (ETL), to ensure data consistency and accuracy.

In conclusion, big data processing and analysis on AWS can be complex and challenging, but AWS provides several services and features that can help users to overcome these challenges. By considering these challenges and following best practices, users can leverage big data to gain valuable insights and drive growth and success.
Big Data on AWS - Part 4
Published: 2023-02-14 19:44:30

In part one to three of this blog series, we explored various AWS services that are commonly used for big data processing and analysis, best practices for big data processing on AWS. In this part four, we will discuss some common use cases for big data on AWS.

Real-time data processing
Real-time data processing involves processing and analyzing data in real-time as it is generated. AWS provides several services, such as Amazon Kinesis and AWS Lambda, that are ideal for real-time data processing. Real-time data processing is commonly used for applications such as fraud detection, IoT applications, and social media analytics.

Predictive analytics
Predictive analytics involves using data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes. AWS provides several services, such as Amazon SageMaker, that are ideal for predictive analytics. Predictive analytics is commonly used for applications such as customer churn prediction, fraud detection, and demand forecasting.

Data warehousing
Data warehousing involves storing and analyzing large amounts of structured data. AWS provides several services, such as Amazon Redshift and Amazon Athena, that are ideal for data warehousing. Data warehousing is commonly used for applications such as business intelligence, financial analysis, and customer segmentation.

Log processing
Log processing involves processing and analyzing logs generated by applications, servers, and network devices. AWS provides several services, such as Amazon CloudWatch and Amazon Kinesis, that are ideal for log processing. Log processing is commonly used for applications such as security analysis, performance monitoring, and compliance auditing.

Media processing
Media processing involves processing and analyzing large amounts of media content, such as images, videos, and audio. AWS provides several services, such as Amazon Rekognition and Amazon Transcribe, that are ideal for media processing. Media processing is commonly used for applications such as video and image analysis, speech-to-text transcription, and content moderation.

In conclusion, AWS provides a wide range of services for big data processing and analysis, which can be applied to several common use cases. By leveraging these services, users can gain valuable insights from their data and make better decisions that can drive growth and success.
Big Data on AWS - Part 3
Tags: big
Published: 2023-02-14 19:43:15

In part one and part two of this blog series, we explored various AWS services that are commonly used for big data processing and analysis, including Amazon S3, Amazon EMR, Amazon Redshift, Amazon Athena, and Amazon Kinesis. In this third and final part, we will explore some best practices for big data processing on AWS.

Use managed services
AWS provides a wide range of managed services for big data processing and analysis, such as Amazon EMR, Amazon Redshift, and Amazon Athena. By using these managed services, users can save time and money by not having to manage the underlying infrastructure and instead focus on their data processing and analysis tasks.

Use serverless architectures
Serverless architectures, such as AWS Lambda and Amazon Athena, can help users to reduce costs and improve scalability by only paying for the compute resources they use. Serverless architectures are also highly scalable and can automatically scale up or down to meet changing demands.

Use automation
AWS provides several automation tools, such as AWS CloudFormation and AWS OpsWorks, that can help users to automate the deployment and management of their big data processing and analysis environments. Automation can help users to reduce errors, improve consistency, and save time.

Optimize data storage
AWS provides several storage options, such as Amazon S3, Amazon EBS, and Amazon Glacier, that can be optimized for different data storage requirements. For example, Amazon S3 is a highly scalable and durable storage service that is ideal for storing large amounts of unstructured data, while Amazon EBS is a block storage service that is ideal for storing data that requires high performance and low latency.

Monitor and optimize performance
AWS provides several monitoring and optimization tools, such as Amazon CloudWatch and Amazon EMR, that can help users to monitor and optimize the performance of their big data processing and analysis environments. By monitoring performance, users can identify and fix performance issues and optimize their environments for maximum efficiency and cost-effectiveness.

In conclusion, AWS provides a wide range of services and best practices for big data processing and analysis. By using these services and best practices, users can leverage big data to gain valuable insights and make better decisions that can drive growth and success
How to set default route in Vue.js with Vue Router!
Tags: vue, javascript, routes
Published: 2023-02-14 19:40:26

In this article I'll teach you how to set an specific route to be default in your **Vue** application, this approach is more common in Dashboard Layouts, let's see.

## **Let's Setup!**

I have an folder called **`/router`** and inside it have two files called respectively **`index.ts`** and **`routes.ts`**

`routes.ts`

```js
export default [
  {
    path: "/",
    component: () => import("@/components/Layout/BaseLayout.vue"),
    children: [
      {
        path: "/customer",
        name: "Customer",
        component: () => import("@/views/Customer.vue"),
      },
    ],
  },
];
```

`index.ts`

```js
import { createRouter, createWebHashHistory } from 'vue-router';
import routes from './routes';

const router = createRouter({
  history: createWebHashHistory(import.meta.env.BASE_URL),
  routes,
});

export default router;
```

With this setup, the default route when user will visit the app will be '/', but this route only render **the base layout from our dashboard**, let see how to redirect user for another default router using redirect approach.

## Using a redirect to the default route:

Add a redirect property to the router, and set it's value to the path of the default route. For example:

```js
export default [
  {
    path: "/",
    redirect: { path: "/customer" }, // redirect property 
    component: () => import("@/components/Layout/BaseLayout.vue"),
    children: [
      {
        path: "/customer",
        name: "Customer",
        component: () => import("@/views/Customer.vue"),
      },
    ],
  },
];

```

This sets the `/customer` route (which is mapped to the Home component) as the default, and also maps the /path to the same component via a redirect. When the user visits the website, they will be automatically redirected to the Home component.


**That's all, if you have more ways to achieve this, share with us! See'ya!**
AWS Cloud Financial Management - Part 3
Published: 2023-02-14 19:34:23

In Part 3, we will discuss some best practices and tips for AWS Cloud Financial Management.

Set Up a Cloud Financial Management Team: Managing cloud costs is a team effort. It is important to have a team that includes stakeholders from IT, finance, and business units to ensure that cloud costs are managed effectively.

Start Small and Scale: When migrating to the cloud, start small and scale as needed. This can help you avoid overprovisioning and wasting resources.

Monitor Usage and Costs: Regularly monitor your AWS usage and costs using tools like Cost Explorer and AWS Cost and Usage Reports. This can help you identify cost drivers and optimize your usage.

Optimize Your Usage: Optimize your usage by turning off unused resources, using Auto Scaling, and choosing the right pricing models.

Leverage AWS Partners: AWS has a wide range of partners that provide services and tools for managing cloud costs. Consider partnering with an AWS partner to help manage your cloud costs.

Use Cost Attribution: Use Cost Allocation Tags to track usage and costs at a granular level. This can help you allocate costs to specific teams or projects and provide visibility into where your cloud costs are being spent.

Educate Your Team: Educate your team on cloud financial management best practices and the importance of managing cloud costs. This can help ensure that everyone is aligned and working together to manage cloud costs effectively.

Continuously Improve: AWS Cloud Financial Management is an ongoing process. Continuously monitor and improve your cloud financial management practices to ensure that you are optimizing your cloud usage and reducing costs.

Conclusion

AWS Cloud Financial Management is an important part of managing cloud costs effectively. By implementing best practices and tips like setting up a cloud financial management team, monitoring usage and costs, optimizing your usage, leveraging AWS partners, using cost attribution, educating your team, and continuously improving, you can effectively manage your cloud costs and maximize your investment in the cloud.
AWS Cloud Financial Management - Part 2
Published: 2023-02-14 19:33:10

In addition to the strategies mentioned in Part 1, there are more tools and techniques that can help with AWS Cloud Financial Management. Here are a few more:

Use AWS Trusted Advisor: AWS Trusted Advisor is a tool that provides recommendations for optimizing your AWS usage across five categories: cost optimization, performance, security, fault tolerance, and service limits. By implementing the recommendations provided by Trusted Advisor, you can improve your cloud infrastructure while reducing costs.

Use AWS Budgets: AWS Budgets is a tool that allows you to set custom cost and usage budgets for your AWS account. You can set up notifications to alert you when you are approaching or exceeding your budget, which can help you stay on top of your cloud costs.

Use Cost Allocation Tags: Cost Allocation Tags are a feature that allows you to tag your resources with custom metadata. By using Cost Allocation Tags, you can track usage and costs at a granular level and allocate costs to specific teams or projects.

Use AWS Cost and Usage Reports: AWS Cost and Usage Reports provide detailed billing data that can help you analyze your AWS usage and costs. You can use this data to identify cost drivers and optimize your usage.

Use AWS Savings Plans: AWS Savings Plans are a pricing model that provide savings on your AWS usage in exchange for a commitment to use a certain amount of compute usage over a one or three-year period. Savings Plans can provide significant savings compared to on-demand pricing.

Conclusion

AWS Cloud Financial Management is an ongoing process that requires regular monitoring, analysis, and optimization. By using a combination of strategies and tools, organizations can effectively manage their cloud costs and optimize their usage. With AWS Trusted Advisor, AWS Budgets, Cost Allocation Tags, AWS Cost and Usage Reports, and AWS Savings Plans, organizations have a wide range of options for managing cloud costs and maximizing their investment in the cloud.