#cloudfront

[nixcraft]

Nginx restore real IP address when behind a reverse proxy - nixCraft

Explains how to restore or get real IP address of users/clients when the Nginx web server is behind a reverse proxy such as Cloudfront/Fastly/Cloudflare.

Learn how to retrieve the actual IP address of a client/browser after your website is protected by a Web Application Firewall (WAF)/CDN/LB or reverse proxy. 

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[rostglukhov]

Use AWS CLI to create a CloudFront distribution on pay-as-you-go pricing when the console only offers Free or Pro flat-rate plans.

[nitrix-reloaded-blog]

AWS Networking Deep Dive: VPC, Route 53, CloudFront, and Load Balancers (Part 4 of 6)

Networking is the foundation of every AWS architecture. This guide covers VPC design, DNS with Route 53, content delivery with CloudFront, and load balancing—with production-ready code examples. 📚 AWS FUNDAMENTALS SERIES This is Part 4 of a 6-part series covering AWS Cloud Platform. Part 1: Fundamentals Part 2: Compute Services Part 3: Storage & Databases Part 4 (this article): Networking Part…

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[r9st]

AWS CloudFront | CDN Service Explained

🚀 AWS CloudFront is Amazon’s global CDN that helps deliver websites, videos, and apps faster to users worldwide. In this video, you’ll learn: ✔ What CloudFront is ✔ Benefits for speed, security & scalability ✔ Use cases for websites & businesses

Follow for more AWS tutorials and cloud networking insights. 🌐

[govindhtech]

CloudFront Now Supports gRPC Calls For Your Applications

Your applications’ gRPC calls are now accepted by Amazon CloudFront.

You may now set up global content delivery network (CDN), Amazon CloudFront, in front of your gRPC API endpoints.

An Overview of gRPC

You may construct distributed apps and services more easily with gRPC since a client program can call a method on a server application on a separate machine as if it were a local object. The foundation of gRPC, like that of many RPC systems, is the concept of establishing a service, including the methods that may be called remotely along with their parameters and return types. This interface is implemented by the server, which also uses a gRPC server to manage client requests. The same methods as the server are provided by the client’s stub, which is sometimes referred to as just a client.

Any of the supported languages can be used to write gRPC clients and servers, which can operate and communicate with one another in a range of settings, including your desktop computer and servers within Google. For instance, a gRPC server in Java with clients in Go, Python, or Ruby can be readily created. Furthermore, the most recent Google APIs will include gRPC interfaces, making it simple to incorporate Google functionality into your apps.

Using Protocol Buffers

Although it can be used with other data formats like JSON, gRPC by default serializes structured data using Protocol Buffers, Google’s well-established open source method.

Establishing the structure for the data you wish to serialize in a proto file a regular text file with a.proto extension is the first step in dealing with protocol buffers. Protocol buffer data is organized as messages, each of which is a brief logical record of data made up of a number of fields, or name-value pairs.

After defining your data structures, you can use the protocol buffer compiler protoc to create data access classes from your proto specification in the language or languages of your choice. These offer methods to serialize and parse the entire structure to and from raw bytes, along with basic accessors for each field, such as name() and set_name(). For example, executing the compiler on the aforementioned example will produce a class named Person if you have selected C++ as your language. This class can then be used to serialize, retrieve, and populate Person protocol buffer messages in your application.

You specify RPC method parameters and return types as protocol buffer messages when defining gRPC services in standard proto files:

Protoc is used by gRPC with a specific gRPC plugin to generate code from your proto file. This includes the standard protocol buffer code for populating, serializing, and retrieving your message types, as well as generated gRPC client and server code.

Versions of protocol buffers

Although open source users have had access to protocol buffers for a while, the majority of the examples on this website use protocol buffers version 3 (proto3), which supports more languages, has a little simplified syntax, and several helpful new capabilities. In addition to a Go language generator from the golang/protobuf official package, Proto3 is presently available in Java, C++, Dart, Python, Objective-C, C#, a lite-runtime (Android Java), Ruby, and JavaScript from the protocol buffers GitHub repository. Additional languages are being developed.

Although proto2 (the current default protocol buffers version) can be used, it advises using proto3 with gRPC instead because it allows you to use all of the languages that gRPC supports and prevents incompatibilities between proto2 clients and proto3 servers.

What is gRPC?

A contemporary, open-source, high-performance Remote Procedure Call (RPC) framework that works in any setting is called gRPC. By supporting pluggable load balancing, tracing, health checking, and authentication, it may effectively connect services both within and between data centers. It can also be used to link devices, browsers, and mobile apps to backend services in the last mile of distributed computing.

A basic definition of a service

Describe your service using Protocol Buffers, a robust language and toolkit for binary serialization.

Launch swiftly and grow

Use the framework to grow to millions of RPCs per second and install the runtime and development environments with only one line.

Works on a variety of platforms and languages

For your service, automatically create idiomatic client and server stubs in several languages and platforms.

Both-way streaming and integrated authentication

Fully integrated pluggable authentication and bi-directional streaming with HTTP/2-based transport

For creating APIs, gRPC is a cutting-edge, effective, and language-neutral framework. Platform-independent service and message type design is made possible by its interface defining language (IDL), Protocol Buffers (protobuf). With gRPC, remote procedure calls (RPCs) over HTTP/2 are lightweight and highly performant, facilitating communication between services. Microservices designs benefit greatly from this since it facilitates effective and low-latency communication between services.

Features like flow control, bidirectional streaming, and automatic code generation for multiple programming languages are all provided by gRPC. When you need real-time data streaming, effective communication, and great performance, this is a good fit. gRPC may be an excellent option if your application must manage a lot of data or the client and server must communicate with low latency. However, compared to REST, it could be harder to master. Developers must specify their data structures and service methods in.proto files since gRPC uses the protobuf serialization standard.

When you put CloudFront in front of your gRPC API endpoints, we see two advantages.

Initially, it permits the decrease of latency between your API implementation and the client application. A global network of more than 600 edge locations is provided by CloudFront, with intelligent routing to the nearest edge. TLS termination and optional caching for your static content are offered by edge locations. Client application requests are sent to your gRPC origin by CloudFront via the fully managed, high-bandwidth, low-latency private AWS network.

Second, your apps gain from extra security services that are set up on edge locations, like traffic encryption, AWS Web Application Firewall’s HTTP header validation, and AWS Shield Standard defense against distributed denial of service (DDoS) assaults.

Cost and Accessibility

All of the more than 600 CloudFront edge locations offer gRPC origins at no extra cost. There are the standard requests and data transfer costs.

Read more on govindhtech.com

[emma347]

Choosing the right CDN can make or break your website's performance. Our latest blog compares Cloudflare and AWS Cloudfront, diving into their features, costs, and speed to help you pick the best option for your needs. Don't miss out!

Cloudflare Vs AWS Cloudfront: Which One Wins?

Introduction When it comes to cloud application development services, two popular choices for content delivery networks (CDNs) are Cloudflar

[govindhtech]

Boosting Performance: CloudFront KeyValueStore Optimization

You may safely distribute both static and dynamic content with fast transfer speeds and minimal latency by using Amazon CloudFront. You can handle millions of requests per second and latency-sensitive customizations with CloudFront Functions. CloudFront Functions, for example, can be used to rewrite URLs, authorize requests, normalize cache keys, and change headers.

AWS are pleased to present CloudFront KeyValueStore, a safe, low-latency global key value datastore that can be accessed readly from within CloudFront Functions. This feature enables highly customized logic to be implemented at CloudFront edge locations.

In the past, configuration data had to be included directly into the function code. For instance, information for choosing which URL to send the viewer to when a URL needs to be redirected. Every tiny change in configuration when embedding it with the function code necessitates a code change and a redeployment of the function code. There is a chance that code will be accidentally altered when new lookup additions need updating and deploying code. Additionally, since the maximum function size is 10 KB, many use cases will struggle to fit all of the data within the code.

You can now update the function code and the data associated with it separately using CloudFront KeyValueStore. As a result, function code is made simpler and data updates are made simple without requiring code modifications to be deployed.

Let’s examine how this functions in real life.

Building a key value store for CloudFront

You select Functions from the navigation pane in the CloudFront dashboard. Then now you select Create KeyValueStore under the KeyValueStores menu.

This allows you to import key-value pairs into an Amazon Simple Storage Service (Amazon S3) bucket from a JSON file. If you want to start with no keys, therefore you not doing that right now. You finish the key value store creation by entering a name and description.

You select Edit under the Key value pairs area and then Add pair once the key value store has been established. You enter Hello World for the value and hello for the key before saving the adjustments. For now, one key is sufficient, but you can add more keys and values.

Changes made to a key value store propagate quickly to all CloudFront edge locations, allowing functions connected with the key value store to use it with little latency.

Utilizing CloudFront Functions’ CloudFront KeyValueStore

You select Functions from the navigation pane in the CloudFront console, followed by Create function. You give the function a name, choose the cloudfront-js-2.0 runtime, and finish the function’s creation. Then you correlate this function with the key value store using the newly available option.

You can use the console’s key value store ID, which you copy, in the function code that follows:

This function answers with the name of the key and its value, using the first segment of the request path as the key.

Now you publish the function and save the modifications. You can link the function to a CloudFront distribution which you previously made in the Publish tab of the function. You can intercept all requests to the distribution using the Default (*) cache action and the Viewer Request event type.

You return to the functions list in the console and watch for the function to be deployed. Next, you download content from the distribution using curl from the command line and verify the function’s outcome.

Initially, you can test a few pathways that call the method and checkup the previous key you made (hello): Success! Next, you experiment with a different approach to observe that, in the event that the key cannot be retrieved, the code returns the default value.

Now that we have this basic example working, let’s try a more sophisticated and practical one.

Using CloudFront KeyValueStore configuration data, rewrite the URL

Let’s create a function that looks up the custom path that CloudFront should use to send the actual request in a key-value store using the content of the URL in the HTTP request. This feature can assist in managing the various services that make up a website.

Things to consider

Today, CloudFront KeyValueStore is accessible in every edge location across the world. Pay just for the read/write operations from the public API and the read operations from within CloudFront Functions when using CloudFront KeyValueStore. View the CloudFront pricing page for additional details.

The AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs can all be used to manage a key value store. Support for AWS CloudFormation is on the horizon. You can link a single key value store to every function, and key value stores have a maximum capacity of 5 MB. A key can have a maximum size of 512 bytes. Values may have a maximum value of 1KB. Using a source file on Amazon S3, you can import key/value data while building a key-value store. This file has the following JSON structure:

Key/value data imports during creation provide easy configuration replication between environments (e.g., preproduction and production) and can automate the setup of a new environment (e.g., test or dev).

Read more on Govindhtech.com