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Cloud Migration and Modernization

Migrating to AWS typically involves the following 6 steps:

Assessing your current infrastructure and workloads to determine what needs to be migrated to AWS.
Planning the migration, including creating a migration schedule and identifying any dependencies or challenges that may need to be addressed.
Preparing the environment, including provisioning an AWS Landing Zone with a multi-account structure and setting up the necessary monitoring and security controls, AWS resource and industry-best practices, such as right-sizing, auto-scaling and failover mechanisms.
Executing the migration, which can involve using AWS migration tools such as the AWS Database Migration Service or the AWS Server Migration Service.
Testing the migrated environment to ensure it is working as expected.
Going live on AWS, which includes redirecting traffic to the new environment and decommissioning the old infrastructure.

It is advisable to work with an AWS Partner such as Atomic Computing for a smoother migration process.

AWS Cloud Migration

DevOps and Automation

DevOps is a software development methodology that emphasizes collaboration and communication between development and operations teams to improve the speed and quality of software delivery. Automation is a key aspect of DevOps, as it allows teams to automate repetitive tasks and reduce the risk of human error. Atomic Computing is leveraging the multitude of AWS services that can your organization to implement DevOps and automation as part of your development and deployment lifecycle, including:

AWS CodeCommit: a fully-managed source control service that makes it easy to host Git repositories.
AWS CodeBuild: a fully-managed service that compiles source code, runs tests, and produces packages that are ready for deployment.
AWS CodeDeploy: a fully-managed service that automates code deployments to EC2 instances, on-premises servers, or Lambda functions.
AWS CodePipeline: a fully-managed service that allows teams to build, test, and deploy their code every time there is a code change, based on the release process they defined.

AWS also offers several other services that can be used to implement automation on its platform, including:

AWS Elastic Beanstalk: a fully-managed service that makes it easy to deploy, run, and scale web applications and services.
AWS CloudFormation: a fully-managed service that allows teams to use templates to provision and manage AWS resources.
AWS Systems Manager: a fully-managed service that allows teams to automate operational tasks such as patch management, software deployment, and configuration management.

By using these services, teams can automate many aspects of their software delivery process, from code management and testing to deployment and infrastructure provisioning, which helps to speed up delivery and improve quality.

Serverless, Containers & Microservices

Serverless computing is a cloud-computing execution model in which the cloud provider is responsible for managing the server infrastructure and the user is responsible for writing and uploading code. With serverless computing, the user does not need to provision or manage any servers, and only pays for the compute time consumed by the application.

Atomic Computing leverages AWS Lambda as one of the most popular examples of serverless computing technologies in the market, paired with Containers and Microservices.

In serverless computing, the cloud provider automatically provisions and scales the underlying infrastructure required to run the code, and the user only needs to upload their code and configure the event triggers that will invoke the code. This allows for a high degree of flexibility and scalability, as the user does not need to worry about managing the underlying infrastructure.

Serverless computing is suitable for running event-driven, short-lived, and highly scalable workloads such as web and mobile backends, real-time data processing, and IoT applications. It can also be used as an alternative to traditional microservices architecture.

Security and Compliance

AWS provides a number of security features and services to help customers secure their workloads on the platform. Some of the key security features include:

Identity and Access Management (IAM): Allows customers to create and manage users, groups, and permissions to control access to AWS resources.
Virtual Private Cloud (VPC): Allows customers to create isolated virtual networks and control access to them through security groups and network ACLs.
Security Group: A virtual firewall for controlling inbound and outbound traffic to resources in a VPC.
Network ACL: An additional layer of security that controls inbound and outbound traffic at the subnet level.
Elastic Block Store (EBS) and Simple Storage Service (S3): Provides encryption options for data at rest and in transit.
CloudTrail: A service that records AWS Management Console sign-in events, AWS SDK calls to services, and command line calls made to the AWS CLI and AWS Tools for Windows PowerShell.
AWS Certificate Manager: A service that allows customers to easily create and manage Secure Sockets Layer/Transport Layer Security (SSL/TLS) certificates for use with AWS services.
AWS Key Management Service (KMS): A service that allows customers to create and manage encryption keys to encrypt data stored in AWS services.

AWS also offers various compliance programs that provide a framework for customers to understand the technical and organizational controls in place at AWS to meet various regulatory requirements such as SOC, PCI-DSS, HIPAA, and ISO.

It is important to note that security is a shared responsibility between AWS and the customer. AWS is responsible for securing the underlying infrastructure, while the customer is responsible for securing their own workloads and data. AWS provides a variety of security services and features to help customers with this responsibility, but it is the customer's responsibility to use these services and features appropriately to meet their specific security requirements.

Atomic Computing can help increase your organization's security posture, introduce the right controls and apply mechanisms to fulfill your compliance requirements in the Cloud.

Accelerating Innovation with AWS and Atomic Computing

Atomic Computing can help accelerate innovation within your organization leveraging AWS in a number of ways:

Faster speed of deployment: With AWS, customers can quickly provision and scale resources, allowing them to deploy new applications and services faster.
Increased flexibility: AWS offers a wide range of services and tools, allowing customers to choose the right ones for their specific needs. This flexibility enables customers to experiment with new technologies and approaches without being constrained by their existing infrastructure.
Cost-effectiveness: With pay-as-you-go pricing and the ability to scale resources up or down as needed, AWS allows customers to experiment with new ideas without incurring significant costs. In case you are able to commit longterm to AWS resources, Atomic Computing will guide you through the best options for Savings Plans and Reserved Instances, including FinOps best practices and industry standards.
Global infrastructure: AWS has a global infrastructure that includes multiple regions and availability zones, which allows customers to deploy their applications and services closer to their customers or own sites for lower latency and better performance.
Innovation services: AWS offers a number of services such as Big Data, IoT and Machine Learning services that can help customers in developing and deploying innovative solutions. Atomic Computing can assist you to drive business outcomes based on cutting edge technologies to transform your business into the future.