Amazon Elastic Cloud Computing is the default option for computing on AWS. Outside of outsourced cloud computing options, it is the default service for building, running, and scaling AWS-based applications. As such, EC2 will likely be the main driving force behind AWS bills. Understanding how to control said costs is therefore the most important factor in managing your AWS environment.
AllCode is part of the Amazon Partner Network, with numerous AWS certified engineers. Amazon Web Services is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.
AWS pricing is incredibly complex and can result in some users overblowing their budgets very easily. Amazon does have tools for predicting prices and controlling them, though there is a learning curve to it. This is a guide on what controls there are for Amazon Simple Storage Service’s spending.
AllCode’s standard architecture to render IoT Telemetry data in AWS Managed Grafana.
In the intricate network of the Internet of Things (IoT), where devices are the silent orchestrators of seamless connectivity, using dashboards helps to place all critical data in a single place. Building dashboards does present its own problems for how different users might interface with the same UI. Generative AI’s capacity for predicting makes building IoT Dashboards that are both user-friendly, functional, and well protected easier.
In the fast-paced world of customer support, where every interaction can make or break a customer relationship, the integration of advanced technologies is no longer a luxury but a necessity. Amazon Connect, the cloud-based contact center service by Amazon Web Services (AWS), has been at the forefront of this evolution. Regardless of if the user is a seasoned developer familiar with AWS or if they are new to the Amazon Cloud, Amazon Connect with Amazon Q is a powerful tool that brings real-time, generative AI-powered agent assistance to the forefront.
AWS provides ample ways to integrate its services into a number of functions. Even outside of application development, the Amazon Cloud sees a wide range of use, such as a platform for the Internet of Things (IoT). It is still doable, but a precarious process to manage without careful planning and execution.
Amazon’s Web Services is a very complex platform. Streamlining and optimizing production workflows can be challenging for inexperienced users. However, the benefit of learning grants options for better efficiency, reliability, security, and cost-effectiveness for operations run on AWS.
While complexity can be difficult to navigate, it’s not impossible. With the right level of expertise, AWS complexity can be navigated with ease.
Grafana stands out as a widely embraced open-source analytics and visualization platform, celebrated for its versatility in handling diverse data sources and delivering compelling dashboards and graphs. Renowned for its user-friendly interface, Grafana simplifies the process of data interpretation and enhances the overall experience by providing interactive visualizations.
There are plenty of AWS enthusiasts around the world such as ourselves with ideas on how to apply the Cloud in new and innovative ways. It’s a keynote where these enthusiasts come together, network, and share innovations and new methodologies with the public. Even for people less familiar with AWS, it is a great place to get first-hand experience with the platform either unguided or with professional help to see what opportunities the platform has.
Artificial intelligence (AI) is transforming the way we create and use software. AI can help developers build apps faster, smarter, and more efficiently by automating tasks, generating code, debugging errors, and improving performance. In this blog post, we will explore some of the AI tools and frameworks that enable developers to create and deploy AI models and applications with ease.