The majority of companies have recognized the importance of the cloud and led them to choose different cloud service providers like AWS ( Amazon Web Services) to increase utilization rates. It has the ability to grow and expand IT resources without capital investment.
AWS
AWS Sagemakers
Amazon SageMaker is a fully-managed service for a cloud platform that provides developers and data scientists a great way to understand the tools, technologies and concepts behind machine learning and it enables developers to easily build and deploy machine learning models.
Terraform is the first multi-cloud immutable infrastructure tool that was created by HashiCorp. It was released three years ago and written in the Go programming language. Terraform is one of the simplest tools for infrastructure management and it uses a simple code for infrastructure management. Terraform can be used for both existing and custom in-house solutions.
Continuous Integration (CI) and Continuous Deployment (CD) defines a culture, a set of operating/manipulating principles, and collection of practices that allow application development teams to deliver code changes more regularly and in an accurate way.
Datadog is a monitoring platform for cloud applications which automatically detects potential application and infrastructure issues as it observes trends and patterns in application metrics like error rate, request rate, and latency—and unexpected behavior.
AWS Cloudwatch
AWS Cloudwatch is an AWS monitoring tool that will help us to monitor the cloud resources. Also, it gives a detailed report for the cloud resource usage. Amazon CloudWatch has an open application programming interface (API) support with customized reports, notifications, and alarms. In Amazon CloudWatch, there is no up-front commitment or minimum fee. It will be charged at the end of the month for what we use.
AWS CodeDeploy is a deployment service that automates application deployments to Amazon EC2 instances and on-premises instances. It helps us to deploy application content such as code, serverless AWS Lambda functions, web and configuration files, packages, scripts, multimedia files, etc. After deploying the application content on a server it is stored in Amazon S3 buckets, GitHub repositories, or Bitbucket repositories.
AWS Server Migration Service (SMS) is an ideal solution for the migration from VMware environments to AWS where the downtime, agentless tools, incremental replication, and testing the application before the cutover are critical considerations. AWS migration facilities provide simple services to migrate large-scale data from our on premises.
Logstash (Log collection engine) collects Logs and events data, Parse and Transform. Logstash is a tool for managing events and logs. Logstash is a system of log collection, processing, storage and searching activities. Basically, it collects, processes, and forwards events and log messages. The Collection can be completed via configuring the “Input plugins” including raw socket/packet communication, file tailing, and several message bus clients. Once an input plugin has collected data it can be processed by any number of filters which modify and give an explanation of the event data. …
VPC enables us to launch Amazon services to a Virtual network. This virtual network is owned by its own data centers with the benefits of using AWS services. In each account by default, VPC is already configured. The default VPC is used for testing purposes. The custom VPC is used for more secure network defined in the private subnet. The instances created in default VPC can’t communicate by default. Hardware VPN connection is used for connecting instance to the data center.