The article aims to provide companies and developers aspiring to implement e-commerce pipelines with a comprehensive understanding of the different factors that go into implementing a successful order management system. Architecting and implementing an OMS is often an intricate and lengthy process that involves making multiple precise and considered choices.
The main goal for the testing pipeline was to create an easy-to-maintain solution that would enable Amplify users to quickly build and test their own plugins without having to deploy resources manually and execute laborious tests.
One limitation recognized in the Amazon Chime SDK is that, despite being powered by the same communications infrastructure as Amazon Chime, applications using Chime SDK do not have the same ‘Blur My Video Background’ feature that is available in Chime.
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database service offered by Amazon Web Services (AWS) that “combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.” Aurora is a fully-managed database solution that has become very popular among companies that prioritize speed and scalability.
Amazon Aurora Serverless v2 is AWS’ on-demand auto-scaling configuration for Amazon Aurora. Aurora Serverless enables users to avail themselves of the benefits of Aurora without having to worry about server maintenance. Users only pay for what they use and can easily scale capacity up or down based on their application’s needs without managing any database capacity.
This tutorial demonstrates how to deploy The Amazon Chime SDK, a set of real-time communications components that can be used to quickly add audio, video, and screen sharing capabilities to web or mobile applications. Amazon Chime SDK allows companies to leverage the same communication infrastructure and services that power Amazon Chime, an online meeting service from AWS, and deliver engaging experiences in their applications.
One of TrackIt’s clients had implemented a big data pipeline running on AWS that needed to be optimized. The client was leveraging the big data pipeline to enable its data scientists to gain additional insights by exploiting data that originated from CSV files.
This article details the TrackIt team’s approach to optimizing the architecture of the data pipeline.
CloudFormation, being AWS’s proprietary tool, is a natural go-to for AWS users looking to rapidly deploy and automate their infrastructure on the Cloud. AWS’s preconfigured CloudFormation stacks provide users with the ability to quickly and easily deploy their AWS infrastructure with the click of a button.
For more information regarding a CloudFormation to Terraform translation, read the Whitepaper
Over the course of many client engagements, we at TrackIt noticed that AWS Cognito login and authentication flows were being used on a recurring basis. To streamline future solutions development, we decided to build a boilerplate/integration framework that would allow clients to kickstart their deployments by quickly interfacing their applications with Cognito.
Elasticsearch is an open-source, distributed search and analytics engine that is commonly used for log analytics, full-text search, and operational intelligence. Kibana is a free open-source data visualization tool that provides a tight integration with Elasticsearch and is its default choice for visualization.
TrackIt deployed the Magenta on-line selling platform in Amazon Web Services using a variety of AWS infrastructure while encountering challenges along the way. This application note details the process.
A Simple Video On Demand Solution Designed For Rapid Deployment
At TrackIt, we have experienced a growing number of content creators looking for an easy to use and simple VOD solution they can implement to start sharing their content with users. As of September 2019, there was no offering currently available in the AWS marketplace that serves as a full-package plug-and-play VOD solution. Recognizing the need, TrackIt has developed and shared a clean and simple VOD workflow that can be quickly deployed on AWS with minimal technical expertise.
Deploying an Ephemeral Parallel File System for High Performance Computing
Building public cloud High Performance Computing (HPC) environments that require fast parallel file system access hasn’t always been easy. While it’s a relatively simple task to spin up hundreds or even thousands of instances in AWS, if they all have to share the same data – as is generally the case in HPC – standard file serving solutions such as AWS Elastic File System (EFS) don’t typically scale to meet the requirement of keeping the compute running at peak utilization.
“Small Leaks Sink Big Ships” – Benjamin Franklin
Unexpected expenses on AWS, if gone unnoticed, could quite possibly lead to catastrophic scenarios.
Our AWS Anomaly Detection feature allows you to be aware and in control of your expenses without having to check your account on a regular basis. To learn more about how this feature works, read our whitepaper on Anomaly Detection.
Question: Is There a Way for Users to Accurately Measure the Effectiveness of Their Cloud Optimization Efforts?
The challenge of cloud cost optimization on AWS is definitely not one that is uncomplicated or easily addressed. The complex diversity of optimization strategies, especially on a platform like AWS often leads to users wondering if there’s a way for them to accurately measure and track the effectiveness of their optimization efforts.
CloudScore serves as a simple solution to the often complex issue of cost and resource optimization on AWS