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Building a serverless data pipeline on AWS using S3, Kinesis, and Lambda

  Introduction In today's fast-paced business environment, data is king. Companies rely on data to drive their decision-making processes, and the ability to quickly and efficiently collect, process, and analyze this data is critical. One way to achieve this is by building a data pipeline on AWS using their fully managed services. This blog post will explore how to build a serverless data pipeline on AWS using S3, Kinesis, and Lambda. Why Serverless? Serverless computing is an execution model in which the cloud provider manages the infrastructure and allocates resources needed to run the code. You don't have to worry about provisioning or scaling servers, which can save you time and money. Additionally, serverless computing is an excellent option for data pipelines because it allows for automatic scaling and the ability to pay only for the resources you use. How to Build a Serverless Data Pipeline on AWS The first step in building a serverless data pipeline on AWS is to set up a...
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Security Fundamentals for AWS

Security Fundamentals for AWS Need for Cloud Security : Security is the most important thing every organization cares about. Organizations need high-level security. Cloud Security helps in giving the utmost security to the organization. Many storage locations also lead to security breaches. Some incidents because of unauthorized access and shared technology issues.Incidents due to faster deployments, scaling, and CSP's varying security standards. Cloud Approaches for the following concerns: Cloud ensures detection of security incidents. Multi region and many copies of data as stored across Regions and AZs(Availability Zones). Hybrid implementations and monitoring, maintenance, and management increase the effectiveness of security. DevOps and CICD offer frequent deployments, which avoids imparting vulnerabilities. IaaS platform leverages shared infrastructure, Which reduces the chances of topping operations and gaining unauthorized access. Using AWS, you will gain the confidence to ...

Essentials of Cloud Computing

Essentials of Cloud Computing Cloud Computing : Cloud computing is the delivery of computing services such as servers, storage, databases, analytics  Over the medium of the Internet to offer elastic and faster services.It helps in the cost saving. Example of Cloud Computing : WhatsApp Application is the cloud based infrastructure as it works on communication and encryption. They store all the sent and received messages in the service provider's hardware. Challenges with corporate data center environment : 1.They host applications in the on premise data center which is a problem when we a huge traffic hist the application and expanding is a cost consuming job. 2.Huge Capital Investment is required for the building of data center 3.Time to set up the infrastructure is more. 4.Maintenance overhead 5.Resources are over-utilized or underutilized. 6.These all will result in the Reduction of total ROI(Return on Investment). Here are Some of the Business Concerns and how to approach throug...