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Why and How to Use AWS Managed Services

Posted on October 28, 2022 by

Categories: AWS

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Software deployments were uncommon a decade ago because server provisioning was tricky. IT managers realized that by using these new cloud services, the costs for the underlying hardware could be reduced, and the ownership of the infrastructure could be a shared responsibility between IT infrastructure teams and developers, which led to a significant shift when cloud providers with computing services like virtual machines, remote storage, and virtual networking appeared.

The progress of application deployments on the cloud will be discussed in this article, along with several use cases for choosing managed services on AWS.

Massive Deployments

Many historical programmes were likely constructed using a monolithic approach, consisting of a sizable codebase with several modules, typically with one database as a persistent layer. This can be seen if you examine the software architecture of these old apps. In comparison to cloud deployments, the strategy for this type of application deployment was similar:

  • a provisioning pipeline for the server;
  • a pipeline that uploaded the source code to the destination server;
  • a pipeline for communicating with the database engine to implement database schema changes;
  • putting both services behind a firewall;
  • Most frequently, vertical scaling is used.

When monolithic design makes sense, this technique is still used for some products. But today’s distinction is that cloud service providers are now primarily responsible for their deployment. These services are often virtual machines (like AWS EC2) or managed-to-compute services, like AWS Elastic Beanstalk.

Deployments of Microservices

Deployments become significantly more complicated with the advent of microservice architecture. As a result, the deployment strategy was considerably impacted:

  • Provisioning was needed for not only one machine but several machines;
  • Teams’ synchronization was more difficult;
  • Due to a large number of components, monitoring and logging became complicated.
  • Since each team/service was separate, having homogenous pipelines was challenging;
  • There were several databases, often one for each service;
  • Additional IT resources were required, such as load balancers and discovery services.

In general, more excellent synchronization and DevOps effort were needed. Even though it requires a lot of work, many businesses continue manually deploying infrastructure for microservices to satisfy their business needs. On the other hand, managed services were a welcome addition because they considerably decreased a team’s effort for installations, as explained below.

Cloud Deployments of the Present

Cloud providers now provide a wide range of new services that facilitate installations thanks to the agile era and the high adoption rate of microservices. They have mainly achieved this by eliminating server maintenance and enabling teams to use these many services with minimal configuration. Managed services are what they are called.

A managed service is a cloud function you may utilize without being responsible for maintaining the underlying hardware. You may discover AWS Fargate, Lambda, Aurora, Amazon DynamoDB, and Elastic Beanstalk in the Amazon ecosystem. What features do all of those services share? The service provider’s responsibility, not your company, is to set up and maintain deployments on these platforms.

Applications operating on a variety of services/integrations make up modern deployments. This combination will still be employed in the future, but there will be a trend toward using more controlled tools and APIs that cloud providers supply. Just as an illustration, a typical Django application may often be installed on AWS Fargate and integrated with the Google APIs using OAuth2 (maps, translations, etc.).

Managed services have a higher recurring cost and less personalization, even if they are praised for their scalability and usability. Still, they are unquestionably worthwhile in light of the engineer hours saved.

The AWS Managed Services Ecosystem

Based on everyday infrastructure needs and app-level requirements, this section will provide some tips to assist you in choosing various managed services on AWS.

Solutions in Containers

Applications should be containerized for various reasons, including mobility, isolation, distribution, etc. You could wish to employ containers as a first step for dividing components into little independent services if you happen to be transitioning from monolith to microservices. Additionally, if you build an application using a microservices-based architecture from the start, you probably want to have a cluster of containers representing various features and services.