AWS Managed Services

R&D Solutions Cloud AWS Managed Services delivers consistent operations management and predictable results by following ITIL® best practices, and provides tooling and automation to increase efficiency, and reduce your operational overhead and risk.

aws-managed-services

R&D Solutions Cloud AWS Managed Services delivers consistent operations management and predictable results by following ITIL® best practices, and provides tooling and automation to increase efficiency, and reduce your operational overhead and risk.

Change management

Our services provide simple and efficient means to make controlled changes to your infrastructure. For example, if you want to deploy an EC2 stack, or change your RDS database configuration settings, R&D Solutions Cloud AWS Cloud Managed Services enables you to quickly and easily make the request through our Help Desk portal.

Change management

Incident management

Our Cloud engineers monitors the overall health of your infrastructure resources, and handle the daily activities of investigating and resolving alarms or incidents.

Incident management

Access management

By configuring default AWS security capabilities, such as Identity and Access Management (IAM) roles and EC2 security groups, AWS Managed Services simplifies access management, and removes the complexity of managing multiple authentication mechanisms, enabling you to use your corporate credentials to access your AWS resources

Access management

Security management

With anti-malware protection, intrusion detection, and intrusion prevention systems, AWS Managed Services manages security policies per stack, and is able to quickly recognize and respond to any intrusion

Security management

Continuity management

In the event of a failure or outage that impacts your business, or at your request, our engineering staff can perform a restore of any of your backups as needed, including backed-up EBS volumes or RDS database snapshots.

Continuity management

Reporting

You have access to the data we are using to manage your infrastructure, including Amazon S3 logs, CloudTrail logs, instance logs, and real-time data from the AWS Managed Services APIs. In addition, your Cloud Service Delivery Manager will provide a monthly summary of key performance metrics, including operational activities, events and their respective impact, as well as recommendations to optimize platform usage.

Reporting

Infrastructure as Code

Infrastructure as a code is the management of infrastructure such as network, virtual machines, load balancers and other resources in a descriptive model using the same versioning as development teams uses for source code. Like the principle that source code generates binary, the infrastructure as code model generates environments.
Infrastructure as code is using scripts or declarative definitions rather than manual processes. The value of this approach could be described in three sections:

  • Cost (reduce the cost)
  • Speed (increase the time for creating new environment)
  • Risk (reduce errors and security violations)
Infrastructure as Code

DevOps Build Automation

Build Automation is automating the software build process. One of the main practice in this area is Continuous Integration.  It aims to educate developers to use centralized source control system, do frequent check-ins (integrations) to the main codebase and receive immediate feedback of the result.
The build automation includes:

  • Building the source code on isolated environment
  • Package the output of the build process
  • Run automation tests against the produced package
  • Receive constant feedback (whether the build was successful or the pass rate of the tests)

By embracing the build automation process, you could:

  • Detect errors quickly
  • Concentrate on new features instead wasting time in debugging
  • Get information whether your code is actually working
  • Build solid foundation
  • Reduce integration issues and this way speed up the delivery process
  • Increase visibility over different projects
DevOps Build Automation

Deployment Automation

Deployment automation allows to deploy software across various environments used in the development process (Development, Staging and Production ones). Having it in place you could deploy more reliable and efficient. The mainstream in this area is Continuous Deployment – a practice of incrementally and frequently pushing new updates to production to speed up the delivery process and provide the necessary value to the end customer.

The deployment automation extends the build automation by adding the needed mechanics to deploy code on multiple environments upon certain conditions.
One of the main benefits of deployment automation are:

  • Reduce deployment errors (avoid as much as possible the human factor)
  • Repeatability – each pipeline is executing the same steps
  • Anyone is able to deploy – eliminate bottlenecks and allow certain group of people to deploy to particular environment
  • Cost optimization – by reducing errors and optimizing the deployment process you save time, therefore you lower the cost
  • Customer satisfaction – bring value to the customer by frequently release new features and improvements
Deployment Automation

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