Amazon launched a beta version of its Elastic Compute Cloud (EC2) on August 24, 2006. EC2 allows infrastructure to rented and accessed over the Internet. The term “AWS solutions architect certification” was coine to describe the phenomenon. Which is not limited to renting infrastructure over the Internet, but includes a wide range of technology services, such as infrastructure as a service (IaaS), web hosting, platform as a service (PaaS), software as a service (SaaS), networking, storage, high-performance computing (HPC), and so on.
Define AWS solutions architect certification
The maturity of many technologies, such as the Internet, high-performance networking, virtualization, and grid computing, has played an important role in the development and success of AWS solutions architect certification. LogiTrain platform is scalable can delivered on-demand. Scale up or down as needed, and are very cost-effective. These factors are using enterprises to drive innovation. Which is the mantra for survival and growth in the new era of business.
The wave of cloud adoption by companies of all sizes confirms that it is not a fad. But is here to stay. As cloud platforms mature and, for real reasons. Some of the limitations around security and ownership is resolve. More and more organizations will turn to the cloud.
Forget the complex distributed system
Designing complex and distributed systems have always been a daunting task. The cloud computing platform offers many infrastructure elements and building blocks. That makes it easy to create these types of applications. It opens the door to endless possibilities. But, with opportunity comes the challenge. The power provide cloud platforms does not guarantee application success; leveraging it does.
What is the purpose of AWS solutions architect certification?
The purpose of this AWS solutions architect certification is to introduce AWS training. To some common and useful architectural patterns. That is use to exploit the potential of cloud platforms. These patterns are not specific to cloud platforms per se but can implemented in them. Furthermore, these patterns are generic and. In most cases, can applie to a variety of cloud scenarios, such as IaaS and PaaS. Whenever possible, reference is make to the services (or tools) from Azure. AWS or both that can contribute most to the implementation of the models presented.
The only way to get more computing power when you need it is to get a more powerful computer. This approach is call “scaling up”. Also to inflexibility and high cost. It has some inherent limitations. Hardware performance cannot exceed a certain threshold. And the monolithic structure of the infrastructure cannot be load-balanced. The Scaling Out solution uses a better approach. Instead of increasing the size of a piece of hardware. More computing resources are obtaine adding more computers. Each of which has limited computing power. This new approach does not limit the number of computers (called “nodes”) that can connect. Thus providing an unlimited amount of computing resources. Individual nodes may themselves limite. But can adde or even remove as needed to meet changing demands. This approach provides unlimited capacity and the ability to add or remove nodes. As demand changes and nodes can load.
Different types of AWS Solutions Architect
There are different types of questions. They perform specific functions, such as web servers, application servers, or database servers. Each of these node types may have a specific configuration. Each instance of a node type (e.g., web server) may also have a different configuration. The allows the creation of node instances. From images and many other management functions that can automate. Given this, a better approach is to use homogeneous nodes. (nodes with the same configuration) for a specific node type.
Horizontal scaling is very suitable for the following scenarios
- Huge computational power is a must or will need in the future. Which even the largest available computers cannot provide.
- The demand for computation is changing and there may be dips and spikes that may or may not be predictable.
- The application is business-critical and cannot afford performance degradation or downtime.
- This model is often used in conjunction. With the node termination model and the auto-scaling model.
keep the nodes stateless and independent of each other
It is very important to keep the nodes stateless. And independent of each other (standalone nodes). Applications should store their user session details on a separate node. With persistent storage in a database. Stateless nodes will provide better failover because in the event of failure. New nodes will always be available to retrieve the details. At the same time. There will be no need to put in place sticky sessions. And this will enable simple and efficient round-robin load balancing.
The public cloud platform is optimize
The AWS Solutions Architect Certification is optimizing for horizontal scaling. Computing instances (nodes) can create to scale up or down. load-balance and stop on demand. Most also support automatic load balancing, failover, and policy-based horizontal scaling.
Because horizontal scaling is designe to meet changing needs. It is important to understand usage patterns. Because there are many instances of different types of nodes. Their numbers can change and it is not easy to collect operational data. Combine it and analyze it to derive any meaning. There are third-party tools that can automate this task. and Azure also provides some facilities. Windows Azure Diagnostics (WAD) Check is a platform service. That can use to collect data from all role instances and store it in a Windows Azure storage account. Once the data is collecte, analysis and reporting become possible. Another source of operational data is the Windows Azure Storage Analytics feature. Which includes metrics and access logs for Windows Azure storage blocks. tables and queues.
Microsoft Azure has the Windows Azure portal. And Amazon offers the Amazon Web Services Dashboard as a management portal. Both provide APIs for programmatic access to these services.
Queue-centric workflows for AWS Solutions Architect Certification
Queues have long use to install an asynchronous processing model. The AWS Solutions Architect Certification allows for the asynchronous transmission of control requests. From the user interface to back-end processing services. This model is suitable for situations. Where user actions may take a long time to complete, and users may not need to wait as long. It is also an effective solution for situations. Where the process depends on another service that may not always be available. Since cloud-native applications can distribute and need to connect. To back-end processes, this model is very useful. It decouples the application layer and ensures the proper transmission of information. Which is critical for many applications that handle financial transactions. Websites that handle media and file uploads. Batch processing and approval workflows are among the applicable scenarios.