Batch jobs are used in AWS to efficiently and economically process large amounts of data or carry out resource-intensive tasks. AWS provides a number of tools and services, including AWS Batch, AWS Step Functions, and AWS Lambda, among others, to help with batch processing. An overview of AWS’s use of batch jobs is provided below: […]
Amazon Web Services (AWS) offers the highly scalable, reliable, and secure Amazon Simple Storage Service (S3) for object storage. Several factors make accessing S3 buckets crucial, especially in the context of cloud computing and data management: 1. Data Storage: S3 is used to store a variety of data, including backups, log files, documents, images, and […]
Lambda is a serverless compute service offered by Amazon Web Services (AWS) that enables you to run code in response to events without having to manage servers. It is a component of AWS’ serverless computing platform and is made to make deploying and managing code for different use cases easier. Crucial details about AWS Lambda […]
The Elastic Stack, or ELK stack, is a collection of open-source software tools for log and data analytics. In many different IT environments, including cloud environments like AWS (Amazon Web Services), it is typically used for centralized logging, monitoring, and data analysis. Three main parts to the ELK stack 1. Elasticsearch: Designed for horizontal scalability, […]
Multiple AWS services can be coordinated into serverless workflows using AWS Step Functions, a serverless orchestration service. It can be a useful tool in a variety of situations where you need to schedule, manage, and automate the execution of several AWS resources. Here are some scenarios where using AWS Step Functions might be a good […]
Serverless computing is a cloud computing execution model where cloud providers manage the infrastructure dynamically, allocating resources on-demand and charging based on actual usage rathAWS provides various ways to protect data integrity. Out of these one of the popular strategies is Data Encryption which protects data in transit and at rest. Here we will first […]
Implementing IAM (Identity and Access Management) and authorization controls for data maintenance on AWS offers several benefits compared to other strategies: Granular Access Control: IAM allows you to define fine-grained access policies, specifying who can access AWS resources and what actions they can perform. This granularity enables you to implement the principle of least privilege, […]
Conducting a data audit and testing for maintaining data on AWS involves several key steps to ensure data integrity, security, and compliance. 1. Define Objectives and Scope: – Clearly define the objectives of the data audit and testing process. – Determine the scope of the audit, including the AWS services and data sources to be […]
By leveraging AWS monitoring and logging services like CloudTrail, CloudWatch, AWS Config, and Amazon GuardDuty, you can maintain data integrity, security, and compliance on AWS while gaining actionable insights into your infrastructure’s performance and operational status. Using monitoring and logging tools for data maintenance on AWS offers several benefits, including: 1. Real-time Visibility: Monitoring tools […]
Data Lifecycle Management Data lifecycle management (DLM) in AWS refers to the process of managing data from creation to deletion or archival in a systematic and automated manner. AWS provides various services and features to facilitate data lifecycle management, allowing organizations to efficiently manage their data throughout its lifecycle. Key components of data lifecycle management […]
