How does automation reduce the cost of managed services
Evaluate the cost of choosing services
Determine business needs: When choosing services for your workload, it is important that you understand your company's priorities. Ensure a balance between cost and other well-architected pillars such as performance and reliability. A fully cost-optimized workload is the solution that is most aligned with your business needs, not necessarily the lowest cost. Meet with all teams within your company to gather information such as: B. with the product, business, tech, and finance teams.
Analyze all workload components: Do a thorough analysis of every component in your workload. Ensure a balance between the cost of analysis and the potential savings in the workload over its lifecycle. You need to determine the current and potential future impact of the component. For example, if the cost of the proposed resource is $ 10 / month and with a forecast load not exceeding $ 15 / month, a day of effort to reduce the cost by 50% ($ 5 per month) could extend the potential benefits beyond the Exceed the service life of the system. A faster and more efficient data-based estimate will produce the best overall result for this component.
Workloads can change over time. The right services may not be optimal if the workload architecture or usage changes. The analysis for the selection of services must include current and future workload states and usage levels. Implementing a service for future workload status or usage can lower the overall cost by reducing or eliminating the effort required for future changes.
AWS Cost Explorer and CUR can analyze the cost of a proof of concept (PoC) or an ongoing environment. You can also use the Simple Monthly Calculator in AWS or the AWS Pricing Calculator to estimate workload costs.
Managed Services: Managed services eliminate the operational and administrative burden of maintaining a service so you can focus on innovating. Since managed services run in the large cloud environment, you also benefit from lower costs per transaction or service.
Consider the time savings that allow your team to focus on catching up, innovation, and value-adding functions. For example, you could move your on-premises environment to the cloud as soon as possible and run the optimization afterwards. It's worth exploring the savings you could make by using managed services that remove or reduce licensing costs.
Managed services usually have attributes that you can set to ensure that there is sufficient capacity. You need to set and monitor these attributes to minimize your excess capacity and maximize performance. You can change the attributes of the AWS Managed Services using the AWS Management Console or AWS APIs and SDKs to adapt resource needs to changing needs. For example, you can scale up or down the number of nodes in an Amazon EMR cluster (or an Amazon Redshift cluster).
You can also put multiple instances in an AWS resource to enable higher density usage. For example, you can host multiple small databases on a single Amazon Relational Database Service (Amazon RDS) DB instance. As it grows, you can migrate one of the databases to a special RDS DB instance using a snapshot and restore process.
If you are deploying workloads on managed services, you need to understand the requirements for adjusting the service capacity. These requirements are typically time, effort, and the impact on normal workload operations. The provisioned resource must allow time for changes and provide the necessary overhead to make this possible. The ongoing effort of changing services can be reduced to practically zero when you use APIs and SDKs that are integrated with system and monitoring tools such as Amazon CloudWatch.
Amazon Relational Database Service (RDS), Amazon Redshift, and Amazon ElastiCache provide a managed database service. Amazon Athena, Amazon Elastic Map Reduce (EMR), and Amazon Elasticsearch provide a managed analysis service.
AWS Managed Services (AMS) is a service that operates the AWS infrastructure for corporate customers and partners. It provides a safe and compliant environment in which to provision your workloads. AMS uses enterprise cloud operating models with automation to help you meet your business needs, move to the cloud faster, and reduce your ongoing administrative costs.
Serverless or application level services: You can have serverless or application-level services such as AWS Lambda, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and Amazon Simple Email Service (Amazon SES) added. With these services, you no longer have to manage resources and they provide code execution, queuing, and message delivery functionality. The other benefit is that performance and costs are scaled according to usage, which enables efficient cost allocation.
For more information on serverless services, see the Well-Architected Serverless Application Lens whitepaper.
Analyze workload for different usage over time: As AWS releases new services and features, the optimal services for your workload can change. The effort required should reflect potential benefits. The frequency of the workload review depends on the needs of your company. If the workload is significant, implementing new services sooner will maximize the cost savings, so more frequent reviews may be beneficial. Another trigger for the review is the change in usage patterns. Significant changes in usage can indicate that alternative services would be more optimal. At higher data transfer rates, for example, a Direct Connect service can be cheaper than a VPN and provide the necessary connectivity. Predict the potential impact of service changes so you can monitor these triggers at the usage level and implement the most cost-effective services sooner.
Licensing costs: The cost of software licenses can be eliminated by using open source software. This can have a significant impact on workload cost as it scales the size of the workload. Measure the benefits of licensed software against the total cost to ensure you've optimized the workload. Model changes in licensing and how they would affect your workload costs. If a vendor changes the cost of your database license, investigate how this will affect the overall efficiency of your workload. Consider historical price announcements from your vendors for trends in license changes in their products. The license costs can also be scaled independently of throughput or usage, e.g. B. Licenses that are scaled according to hardware (CPU-bound licenses). These licenses should be avoided as costs can increase quickly without results.
You can use the AWS License Manager to manage the software licenses in your workload. You can configure license rules and enforce the necessary conditions to avoid license violations and reduce the cost of license violations.
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