Amazon SageMaker is a fully managed cloud platform that helps developers and data scientists build, train, and deploy machine learning (ML) models quickly. It provides a complete set of tools that simplify the machine learning process and reduce the effort required to manage infrastructure. Instead of handling complex setup tasks, developers can focus on creating and improving machine learning models while AWS manages the underlying infrastructure. What is Amazon SageMaker? Amazon SageMaker is a cloud-based machine learning platform from Amazon Web Services that enables developers and data scientists to create, train, and deploy ML models efficiently. The service handles much of the heavy lifting involved in machine learning workflows, including infrastructure management, scaling, and deployment. As a result, developers can …
AWS
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. (more…)
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. (more…)
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. Using cloudwatch, we can track the below metrics. AWS also provides access application logs and it allows to create alarms when the metrics reach near to the pre-defined hit limit. Dashboards can also be created to display graphs and statistics for both up to the minute and historical data. Here is an example of …
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, and more. After deploying the application content on a server it is stored in Amazon S3 buckets, GitHub repositories, or Bitbucket repositories. It works with various systems for configuration management, source control, continuous integration, continuous delivery, and continuous deployment. With AWS CodeDeploy, the following processes become easier. Rapidly release new features. Avoid downtime during application deployment. Update AWS Lambda function versions. Handle the complexity of updating your applications, without many of the risks associated with error-prone manual deployments. …
AWS Server Migration Service (SMS) helps migrate VMware workloads to AWS. It minimizes downtime, uses agentless replication, supports incremental sync, and allows application testing before cutover. This AWS Server migration facilities provide simple services to migrate large-scale data from our on premises. AWS Migration Hub provides an individual location to track the growth of application migrations across multiple AWS and partner solutions. This allows choosing the AWS and partner migration tools that are suitable for the process. It also provides visibility into the status of migrations across the portfolio of applications. With Migration Hub, you can view key metrics and track the progress of each application. It works regardless of the migration tools used. You get real-time updates across all …
Logstash is a powerful log collection and event processing engine used for collecting, parsing, transforming, and forwarding logs and event data from multiple sources. It is one of the core components of the Elastic Stack and is widely used for centralized logging, monitoring, and data processing. Logstash helps organizations manage large amounts of log data efficiently by collecting logs from different systems, processing them into a structured format, and forwarding them to storage or analysis platforms. What is Logstash? Logstash is an open-source data processing pipeline that collects data from multiple input sources, transforms the data, and sends it to different destinations. It acts as a centralized system for: Logstash can handle logs and event data from servers, applications, databases, …
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. (more…)
AWS Elastic Beanstalk
By using Elastic Beanstalk we can easily manage applications in the AWS Cloud without affecting the infrastructure on the applications. With this, we can manage all of the resources that run on the application as environments. It will reduce the risks in managing applications without restricting choices and the control, as we can simply upload the applications and Beanstalk will automatically handle the load balancing, scaling, application health monitoring and capacity provisioning. Elastic Beanstalk supports applications developed in Go, Java, .NET, Node.js, PHP, Python, and Ruby. Once the application brings into effective action, Beanstalk provides one or more AWS resources, such as Amazon EC2 instances. Beanstalk supports software stack on the Amazon EC2 instances as per the configuration on it. …