The main purpose of the AWS Virtual Private Cloud is to keep any devices that want to avoid unauthorized access outside of public reach. Certain applications and top-priority data is kept explicitly within a confined network defined by the permissions the users set for the organization. However, there are a number of potential vulnerabilities that could occur that are all based on user-error and improper configuration of the VPC. AWS operates on shared responsibility and it’s partially down to the user to uphold their half.
AWS App Development
AllCode has many years of experience with AWS App Development. We have experience with Kubernetes, ECR, CodeCommit EC2, RDS, S3, CloudFront, etc. We can help you migrate from your own servers to the cloud.
AWS Virtual Private Cloud
If whatever is being launched on AWS needs to be private, the Virtual Private Cloud (VPC) provides enough functionality for such a task. It grants full control over the virtual network environment from resource allocation to security and is simple to start up. There are options for choosing the IP range, creating subnets, and configuring route tables. The only connections to this network are completely user-defined.
What to Do When AWS Goes Offline?
Amazon’s services are not completely iron-clad and applications built on the platform are still vulnerable to the occasional hiccup. When it does happen, there is a degree of shared responsibility between AWS and the developers of the web applications. All services are designed with redundancies in mind and much of the physical infrastructure does come with backup databases and availability zones to help cover for any instances that go down or are brought down for maintenance. Though data loss is mitigated, it is still advisable to prepare for the next incident.
Amazon Web Services – CodeCatalyst
When a development team is building out an application, it helps to have access to the same resources, have the tools for planning and testing, and to have access to the application all in one place. CodeCatalyst comes with a slew of continuous integration/continuous development (CI/CD) tools and can leverage other AWS services and be connected to other AWS projects on an account. As a collaborative tool, it is easy to introduce new members into the project and to log all activity or all tests from a single dashboard. It’s a complete package of all the tools needed to securely work on every step of an application’s lifecycle.
AWS QuickSight vs. Power BI
Business Intelligence is important to a firm in order to understand the data gathered from its various operations. Amazon does provide a service called QuickSight which is more tailored to use-by-use cases. By comparison, Microsoft has Power BI on offer with a much more universally applied pricing model but extensive customizability and modularity. Both do have a lot to offer on top of their compatibility to their respective organizations.
AWS Aurora
Among other services, Amazon also provides Aurora – a database service with a global presence that is compatible with MySQL and PostgreSQL at a mere tenth of the cost of traditional databases. True to AWS fashion, Amazon fully manages these databases helping to further reduce costs for the users and alleviate the need to dedicate resources towards maintenance. To prevent loss and damage, Aurora databases have nearly a 100% uptime with easy replication and a restoration of services in less than a minute. For newer users to AWS, immigrating data locally is incredibly easy.
AWS Certification Exam Tips
While Amazon does make acquiring certification for knowledge on their cloud services readily accessible, the process is still a large hurdle to overcome. The exams are incredibly tough and do have a B and above requirement in order to pass. Fortunately, there are plenty of resources both official and unofficial to help potential new experts to prepare. Everyone is better off knowing what resources they have to prepare for such a tremendous hurdle.
AWS QuickSight vs. Tableau
Data Analytics is increasingly important for evaluating company performance and adjusting for continuous improvement and avoiding recreating mistakes. As such, there are plenty of platforms on the market for making the analysis process to make this easier. Though Amazon’s offering might seem to be the go-to for any and all solutions, there are still other options present on the market for anyone who has data analysis needs.
AWS vs. Google Cloud
Among the tech titans who currently provide cloud services is Google. While they’re far from the biggest, the experience they have with search engines and machine learning makes them viable in the face of Amazon’s prolonged dominance within the field. That said, there are good reasons for picking either one over the other depending on what a client hopes to achieve and what financial resources they have available.
What is AWS Quicksight?
There is plenty of data floating around regarding operational functionality that will have a knock-on effect for the rest of the organization. Amazon’s Quicksight aims to provide all members with the data they need when they need it in order to best make the decisions that will push the rest of the organization forward. This cloud-based service can distribute among organization members information that’s not only easy to read, but in a timely manner to all levels.