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.
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.
DevOps is a composition of best practices, principles, and company cultural concepts that are tailored to improve coordination in either development or IT teams in an organization. These standards help to streamline and automate the delivery cycle and allow teams to deploy applications sooner. In the case of arising issues, teams can respond faster and develop fixes sooner.
The AWS Migration Acceleration Program is offered to help organizations migrate existing applications and workloads to the Amazon Cloud more efficiently. This includes tools, resources, and guidance about the best practices for migration and how to facilitate changes properly without disrupting business operations.
A cornerstone of business intelligence is the data that can be gathered from customer interaction. Gathering data and processing it for relevant information can provide better-informed decisions for business operations. AWS provides tools that can not only automate this process, but make data much more legible and process data more efficiently.
These are the metrics that you want to monitor in order to assure that you RDS is in running according to the standards for the Well Architected Framework.
CI/CD pipelines are the means by which development teams continuously deliver and integrate applications. It is a strenuous process that requires iterations and constant adjustments before rolling out updates. The time to deploy can be shortened significantly through the use of automated testing and provisioning.
Having the right DevOps monitoring tools is important. Not only is it good for picking out bugs and other facets that require improvement, but it helps to better optimize and plan on an application’s continued development. Because DevOps monitoring directly boosts the health of the app and the business, having the right tool for the job matters significantly.
Data lakes are repositories for structured or unstructured data of any capacity or type. With the tools available from AWS, data does not necessarily need to be organized first before running a number of analytics, visualization, or machine learning processes to yield the most optimal results.
There are several good strategic reasons for having multiple accounts tethered to a single AWS environment. For security, governance, and scalability purposes, it is ideal to have a number of accounts working together in an environment for the various employees to have access. Ideally, the following should be incorporated into the environment to make the most of what AWS can offer.
Having a good DevOps loop is crucial for the continuous life cycle of a given application. Until an application project is abandoned, from the moment it is successfully launched, application maintenance is a vicious cycle of gathering user data, adding features, resolving bugs and kinks, and subsequently releasing. AWS does have the capacity to support this, but it’s fairly complex maximizing that efficiency.