Uncover how to create custom domain names for your Amazon Bedrock AgentCore Runtime agent endpoints, streamlining integration and enhancing branding. When deploying AI agents to Amazon Bedrock AgentCore Runtime (currently in preview), customers frequently desire to use custom domain names for a more professional and seamless user experience.
By default, AgentCore Runtime agents utilize endpoints…
The process doesn’t have to be complicated if you need to deploy a static website or an FE app. In fact, AWS S3 and CloudFront offer one of the most reliable, cost-effective ways to get your site into production without the headaches of traditional server(e.g. EC2 compute) management.
In this guide, I will walk you through exactly how I deploy static website or a front-end app using this…
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.
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.
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.
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.
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.
Describe your service using Protocol Buffers, a robust language and toolkit for binary serialization.
Use the framework to grow to millions of RPCs per second and install the runtime and development environments with only one line.
For your service, automatically create idiomatic client and server stubs in several languages and platforms.
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.
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
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!
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.
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.
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.
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.
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
Cloudflare and CloudFront are services that can help reduce your website’s load time. In addition to speeding up your content delivery and load times, they can provide many advantages to your organization. They both work similarly by distributing server loads across multiple servers, but they have fundamental differences. Cloudflare is a service that provides other application services such as DNS, load balancing, video streaming, DDoS attacks protection, web application firewall (WAF), analytics, domain registry, and more. At the same time, Cloudfront is just a CDN provider with the sole purpose of accelerating content delivery.
“Content Delivery Network,” or “CDN,” is a network of computers, servers, and nodes worldwide. You upload your website files to the ‘cloud,’ and then this content will be delivered via dedicated servers/nodes that are geographically closer to your end customers than the original hosting server.
Cloudflare is a buzzing brand in the CDN industry for its ability to provide cutting-edge performance capabilities and robust security features. It functions essentially as a reverse proxy, and its infrastructure is built from scratch, without any legacy system. It was originally intended to keep fraudsters off your website and stop them from harvesting emails. Their global infrastructure and algorithm provide advanced security systems along with performance enhancement. The incorporation of machine learning into the Cloudflare infrastructure enables it to continuously learn, adapt, and integrate to meet the complex needs of the ever-evolving technical environment.
A relatively different or conventional CDN tool does not require you to change nameservers as you did in Cloudflare. Amazon Cloudfront is entirely different from the “Reverse Proxy” approach of Cloudflare.
Cloudfront is another well-known global CDN (Content Delivery Network) that retrieves data from the Amazon S3 bucket and distributes it to multiple data centers it acquires. It uses a network of data centers, often referred to as Edge Locations, to deliver the data centers, often referred to as Edge Locations. When a user requests data on the internet, the nearest edge location is routed, resulting in the lowest latency, low network traffic, faster access to content, and an overall better web experience.
Cloudflare and AWS Cloudfront are both well-established names in the CDN industry. They both provide a wide range of features, which is why it can be confusing when choosing one of them. Amazon Cloudfront and Cloudflare are both highly recommended & suited Delivery Networks to users and can be used as per your requirements. Ultimately, the best choice depends on your specific business requirements. As you’ve seen, there are essential differences between the two services. So, to select the CDN service that best suits your business model, you’ll want to accurately and thoroughly understand the benefits and capabilities of both choices.
Still confused? KnackForge experts can help you choose the best option for your business! Contact our Cloud technical consultants today for a free consultation.
AWS CloudFront helps you to perform various tasks including retrieving data. To do that, you need a Python library named boto3. This library allows you to interact with resources in AWS with the help of Python code. One more thing to consider while using boto3 to connect to AWS resources is selecting the right AWS resource explore.
The AWS CloudFront helps you to perform various tasks including retrieving data. To do that, you need a Python library named boto3. This library allows you to interact with resources in AWS with the help of Python code. One more thing to consider while using boto3 to connect to AWS resources is selecting the right AWS profile.
The AWS CloudFront helps you to perform various tasks including retrieving data. To do that, you need a Python library named boto3. This library allows you to interact with resources in AWS with the help of Python code. One more thing to consider while using boto3 to connect to AWS resources is selecting the right AWS profile.
there once was a little fish who loved to scrape website’s API endpoints to gather information for their apps
then cloudfront blocked their vps and ruined their day
the end
CloudFront vs CloudFlare: Choosing the right CDN
CloudFront vs Cloudflare is always a topic of debate among developers. Both of them offer content delivery network capabilities, but they operate differently. Explore them here.
AWS 宣佈在越南設立 edge：「AWS announces new edge locations in Vietnam」。
新的 edge 包括了各種服務，像是標題寫到的 CloudFront：
The new locations offer edge networking services including Amazon CloudFront and AWS Global Accelerator that are integrated with security service AWS Shield that includes Distributed Denial of Service (DDoS), Web Application Firewall (WAF), and bot protection.
看起來是拓點，第一次進到越南，先前應該是會被導去泰國或是香港？
不過在…
雖然 HTTP/3 還沒有進到 Standard Track，但看到 CloudFront 宣佈支援 HTTP/3 了：「New – HTTP/3 Support for Amazon CloudFront」。
只要在 CloudFront 的 console 上勾選起來就可以了：
看了看 RFC 9114: HTTP/3 文件裡的描述，client 可以試著建立 UDP 版本的 QUIC 連線，但要有機制在失敗時回去用 TCP 的 HTTP/2 或是 HTTP/1.1：
A client MAY attempt access to a resource with an “https” URI by resolving the host identifier to an IP address, establishing a QUIC connection to that address…
Learn How to Serve Private S3 Bucket Contents Via AWS CloudFront
Amazon CloudFront is a content delivery network(CDN) operated by Amazon Web Services. Content delivery networks provide a globally-distributed network of proxy servers that cache content, such as web videos or other bulky media, more locally to consumers, thus improving access speed for downloading the content.
Amazon S3 or Amazon Simple Storage Service is a service offered by Amazon Web…
If you want to skip all of the fun the repo with the code we are using is located here. Also, before you get started here go check out my article on creating an S3 website bucket module. This article will be building on the groundwork set there and will assume you have an S3 bucket module.
AWS 流量相關的 Free Tier 增加不少…
Jeff Barr 出來公告增加 AWS 流量相關的 free tier：「AWS Free Tier Data Transfer Expansion – 100 GB From Regions and 1 TB From Amazon CloudFront Per Month」。
一般性的 data transfer 從 1GB/month/region 變成 100GB/mo，現在是 21 regions 所以不會有反例，另外大多數的人或是團隊也就固定用一兩個 region，這個 free tier 大概可以省個 $10 到 $20 左右？
Data Transfer from AWS Regions to the Internet is now free for up to 100 GB of data per month (up from 1 GB per region).…
라이트세일 CDN 적용하기 위해서 Cloudfront 활용해서 설정하였는데 그 동안은 잘 작동을 했지만 이번에 갑자기 WP Fastest Cache 플러그인에서 CDN 오류가 발생하면서 다시 적용하기 위해서 문제점을 찾아보았지만 결국에는 해결하지 못했습니다.
그래서 최근에 라이트세일(Lightsail) 이용자들이 편하게 CDN를 적용할 수 있도록 나온 기능을 사용해보기로 했는데 역시 오류가 발생했습니다. 하루 정도를 해결하기 위해서 매달려서 알아낸 이유는 제가 사용하고 있는 인증서가 오리진과 연결이 되지 않아서 발생하는 것으로 결론을 내렸습니다.
하지만 대략적인 이유를 알았지만 어떻게 해결하는지 도저히 찾을 수가 없었습니다. 시간이 지나면 이 문제에 대한 글을 작성하는 사용자들이 생기기 때문에 그때까지는 다른 CDN 서비스를 사용하기로 했습니다.
근데 라이트세일 CDN 관련 글들이 많이 없기 때문에 적용하는 것을 힘들어 하시는 분들이 있는 것을 알게 되었습니다. 저도 외국의 자료를 찾아서 적용하였기 때문에 관련 글들을 찾는 것이 힘들었습니다.
그래서 저는 오류가 발생해서 적용하지 못했지만 관련 글을 찾는 분들을 위해서 추가된 기능 배포를 통해서 라이트세일 CDN 적용하는 방법을 정리하려고 합니다.
저도 오류 해결 방법을 찾게 되면 다시 외국 문서를 찾기 보다는 제가 정리한 글을 보면서 적용할 수 있도록 하기 위해서입니다.
1. CDN 장점
- 가장 가까운 라이트세일 CDN 엣지 위치에서 웹 콘텐츠에 액세스하여 응답 시간을 단축합니다.
- 캐시에서 콘텐츠를 제공하면 서버가 많은 요청을 직접 처리할 필요가 없기 때문에 웹 서버의 부하를 줄일 수 있습니다.
- 라이트세일 배포를 사용하면 SSL 인증서 및 TLS 지원을 제공하여 HTTPS 를 통해 콘텐츠를 쉽게 전달할 수 있습니다.
CDN를 조금 더 간략하게 설명하면 각 지점에 있는 캐시 서버를 통해서 콘텐츠를 배포하는 것으로 가까운 서버에서 제공되기 때문에 더 빠르게 전달되며 웹 서버가 모든 것을 처리하지 않기 때문에 사이트가 빠르게 로딩되게 됩니다.
2. 라이트세일 CDN
라이트 세일로 들어가게 되면 상단에 인스턴스, 컨테이너, 데이터베이스 그리고 네트워킹이 나오는데 이곳으로 들어가시면 DNS, 고정 IP 주소 설정을 할 수 있는데 여기서 우측 상단에 있는 배포 생성을 클릭하시면 됩니다.
배포 생성으로 들어가게 되면 오리진을 선택하라고 하는데 이때 위와 같이 선택하는 화면이 나오지 않는다면 자신이 사용하는 리전을 선택하시면 됩니다.
오리진을 선택하게 되면 캐싱 동작에 대해서 팝업창이 나오게 되는데 워드프레스를 사용한다면 워드프레스 최적화를 승인하고 아니라면 취소를 누르고 정적이나 동적을 선택하시면 됩니다.
- 정적 콘텐츠 : 모든 것을 캐시하도록 배포를 구성하는 것으로 웹 사이트를 방문하는 각 사용자에 대해 변경되지 않는 콘텐츠를 호스팅하는 경우에 이상적입니다. 이 설정을 선택하게 되면 배포의 모든 콘텐츠가 캐시됩니다.
- 동적 콘텐츠 : 배포 생성 페이지의 디렉토리 및 파일 재정의 섹션에서 캐시로 지정한 파일을 제외하고 아무 것도 캐싱하지 않도록 배포를 구성합니다.
- 워드프레스 최적화 : 인스턴스의 wp-includes 디렉토리에 있는 파일을 제외하고 아무것도 wp-content / WordPress 캐싱하지 않도록 배포를 구성합니다. 이 프리셋은 오리진이 Bitnami Wordpress 를 사용하는 인스턴스에 이상적입니다.
라이트세일 CDN 오리진과 캐싱 동작을 설정하였다면 그 다음 아래에 있는 배포 플랜을 선택하시면 되는데 첫 해 무료인 50GB 를 선택하시면 됩니다. 워드프레스가 크거나 방문자가 많다면 나중에 플랜을 변경하시면 됩니다.
배포 플랜까지 설정하였다면 이제 하단에 있는 배포 생성 버튼을 클릭하시면 됩니다. 생성에는 조금 시간이 걸리기 때문에 아래의 추가 단계를 진행하시면 됩니다.
3. wp-config.php 편집
서버에 HTTPS 연결을 허용하도록 wp-config.php 편집해야 합니다. 이 부분은 포럼에서 오류 사항을 수집할 때 해결 방법으로 많이 나오는 것이기 때문에 알아두셔야 합니다.
wp-config.php 백업 생성
sudo cp /opt/bitnami/apps/wordpress/htdocs/wp-config.php /opt/bitnami/apps/wordpress/htdocs/wp-config.php.backup
편집기로 wp-config.php 열기
sudo vi /opt/bitnami/apps/wordpress/htdocs/wp-config.php
vi 으로 열어도 되지만 nano 로 열어도 됩니다. nano를 추천하는 이유는 저장할 때 Ctrl + X 키를 사용하시면 편하기 때문입니다.
wp-config.php 파일 내용 삭제
define(‘WP_SITEURL’, 'http://’ . $_SERVER . ’/’);
define('WP_HOME’, 'http://’ . $_SERVER . ’/’);
편집기로 들어가신 후에 위에 보이는 것을 찾아서 삭제를 해주시면 됩니다.
wp-config.php 추가
define('WP_SITEURL’, 'https://’ . $_SERVER . ’/’);
define('WP_HOME’, 'https://’ . $_SERVER . ’/’);if (isset($_SERVER)
&& $_SERVER === 'https’) {
$_SERVER = 'on’;
}
위의 내용을 복사하여 추가하시면 됩니다. 그 다음 편집한 내용을 저장하신 후에 sudo /opt/bitnami/ctlscript.sh restart apache 입력해서 아파치 서버를 재 시작하시면 됩니다.
4. 인증서 생성
배포 설정에서 상단 메뉴 사용자 지정 도메인으로 들어가신 후에 하단에 있는 인증서 생성을 누르신 후에 위에 보이는 것처럼 기본 도메인에는 사용하는 주소를 입력하고 하단에 하위 도메인에는 www 포함된 주소를 입력하시면 됩니다.
www 포함된 주소를 기본으로 사용하고 있다면 반대로 입력하시고 생성을 누르시면 됩니다.
도메인을 입력하고 생성을 누르게 되면 위에 보이는 것처럼 DNS 레코드 값들이 나오게 되는데 이것을 추가해줘야 검증이 되고 인증서 생성이 완료됩니다.
상단 홈을 누르신 후에 네트워킹으로 들어가서 DNS 에서 점 세개 아이콘을 눌러서 관리로 들어가신 후에 레코드 추가 버튼을 눌러서 CNAME 레코드 유형으로 선택하시면 됩니다. 그 다음 인증서 검증에서 보여준 이름, 값을 추가해주시면 됩니다.
레코드를 추가하였다면 시간이 조금 지나게 되면 인증서 검증이 완료됩니다.
5. 사용자 지정 도메인 추가
인증서 검증을 완료하였다면 바로 위에 있는 사용자 지정 도메인을 클릭해서 활성화하시면 됩니다. 바로 활성화되는 것은 아니기 때문에 조금 시간을 두고 기다리시면 됩니다.
이제 라이트세일 CDN 마지막 설정으로 DNS 설정으로 다시 가신 후에 A 레코드에 있는 @.greenblog.co.kr 부분에서 확인을 클릭해서 배포를 선택하시면 됩니다. 이것은 www 레코드 역시 배포로 바꿔주시면 됩니다.
여기까지 하면 라이트 세일 CDN 설정 과정이 끝나게 되는데 처음 배포 생성을 한 후에 배포 주소를 클릭했을 때 사이트가 제대로 보인다면 큰 오류가 없을 것입니다.
근데 저는 처음 배포부터 오류가 생겨서 다른 CDN 서비스를 이용하고 있는데 만약에 해결 방법을 찾는다면 추가적으로 글을 작성하도록 하겠습니다.
라이트세일 CDN은 서버의 부담을 줄여주고 사이트를 빠르게 만들어주기 때문에 만약에 사용하고 있지 않다면 적용해서 SEO 최적화에 한 단계 더 접근해보시길 바랍니다.
▶ 브레드크럼 설정해서 SEO 최적화를 하는 방법
▶ 워드프레스 빠른 테마 사용자가 추천하는 BSET 5
▶ 백링크 구축을 위해서 공유하는 사이트 목록
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Executive Summary
Our Client is the largest broadcasting union in the world. Our client is also member of the World Broadcasters’ Union and works closely with the other regional broadcasting unions on matters of common concern such as reserving frequencies for broadcasters, harmonization of operating and technical broadcasting standards and systems and finalizing the Broadcasting Treaty. The proposed Server less application is built by leveraging AWS Lambda to be reliable, scalable and cost effective.
About the Customer
The union runs a wide range of services, including the daily Asia vision TV news exchange, several co-productions, program exchanges and technical, programming, legal and management consultancies, as well as industry and international conferences and an international frequency planning and coordination. The Union negotiates rights for major sports events and organizes their coverage for the region. It also runs prestigious annual Awards, TV Song and Radio Song Festivals.
Customer Challenge
The Customer drove their business through a SaaS based Application that did not offer them the flexibility to adapt to their requirements and the market. To overcome this business challenge, ABU decided to develop their own custom application. Developing a custom application to suite ever increasing business needs requires agility. In order to achieve the flexibility required, an agile development methodology was proposed by Aspire NXT.
Why AWS
As a new user of the platform, the customer was assured about the capabilities of Amazon Web Services. AWS provided the services for Developer tools with CICD to deploy the application in line with the vision laid out by the customer. A server less approach was chosen to deploy the application without VPC.
With immutable infrastructure, all changes were tracked in AWS Code Commit and software development methods like continuous integration and continuous deployment were implemented with AWS Code Pipeline and AWS Code Build.
To facilitate this in AWS, the customer chose to work with Aspire NXT, an IT services provider that is part of the AWS Partner Network (APN).
Partner Solution
Architecture Diagram
Results and Benefits
CinemaRex – Streaming Service
Requirements
Please read the description before you buy the project
If you need online documentation contact us
1- FFmpeg 4.0
2- Nodejs
3- Pusher (Service)
4- TMDB (optional)
5- AWS (optional)
6- Jwplayer
Built on
1- Laravel framework using REST API with API Authenticated
2- The Front-end is VueJS (Single Page Application)
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