8/14/2023 0 Comments Sqs queue metrics![]() ![]() They are known as silo, pool, and bridge. SaaS Partitioning Modelsīefore we get further into multi-tenant queuing concepts, let’s explore some of the common strategies used to partition resources in SaaS environments. For instance, you could group tenants with similar tolerance requirements into the same queue. You could also use these tiers to define the tolerance for noisy neighbor as part of the service level agreements (SLAs), which would impact the design of your queues. Not only that, but some SaaS solutions may offer different subscription tiers (for example, Free, Professional, and Enterprise) which could be used to differentiate the experience of users. As a result, the queuing requirements and strategy for each use case and elements of your system could vary.īesides the variance in architectural components, your tenants may have different usage patterns and data volumes. Cloud-native architectures are often decomposed into various services and architectural components, each of which may play a different role in your system. There is no one-size-fits-all approach to designing the queues in a multi-tenant solution. You must overcome this noisy neighbor problem while continuing to meet the isolation requirements of tenants whose messages must not be co-mingled with those of other tenants for security and data protection.Īt the same time, your approach must allow you to remain agile, simplify operations, and optimize costs. The challenge in designing multi-tenant solutions with queues is to find queuing strategies that satisfy multiple goals. If a file from Tenant B, for instance, has significantly more inventory items to be processed than the files of other tenants do, it could also impact the experience of the other tenants. ![]() This delay could introduce latency that would impact the experience other tenants are having with the system.įor the inventory update flow, you could face yet another kind of problem. As you’ll notice, Tenant A has more messages than the other tenants, causing Tenant C to wait for the messages ahead in the queue to be processed. Three different colors represent the messages from three SaaS tenants. This scenario, shown in Figure 2, is known as “noisy neighbor.”įigure 2 – Tenant A causing noisy neighbor. These messages could cause a backup in the queue for other tenants, thereby degrading the level of service for the other tenants. While queues are relatively straightforward, multi-tenancy adds some additional considerations that may shape how you approach your queue design.įor example, you could face issues with message latency if one tenant ends up generating a large volume of orders (relative to other tenants). The Batch Update Inventory process picks up the message and loads the data from the file into the inventory table. The second flow in Figure 1 is for the inventory update, where a file is uploaded by a tenant and a message is placed in the queue to be processed. The services, such as Fill Order and Ship order, could be running in a container in Amazon Elastic Kubernetes Service (Amazon EKS), or they could be running serverless in AWS Lambda. The order and shipment queues receive messages from multiple tenants. The first flow depicts the integration of order, create, fill, and ship services. The conceptual diagram in Figure 1 is an example of an order management system that uses queues.įigure 1 – Order management and inventory update flows using queues. To better understand the role of queues in a SaaS environment, let’s look at a sample use case. Included in the post is sample code to highlight the use of SQS in a multi-tenant solution. I’ll show you how data isolation, scalability, and compliance requirements might influence the queuing model you select. In this post, I will explore some of the common scenarios used when building SaaS solutions with Amazon Simple Queue Service (SQS). I particularly enjoy helping organizations architect multi-tenant solutions to increase agility while considering tenant isolation and scalability. You need to consider data isolation, performance, and operations when designing the queuing model of your SaaS application.Īs a Partner Solutions Architect for AWS SaaS Factory, I have worked with many organizations on their journey to build and operate SaaS solutions on Amazon Web Services (AWS). This is especially true in software-as-a-service (SaaS) environments, where you need to think about how your queuing strategy supports the workloads of a multi-tenant solution. ![]() Queues are key to adding scale and resiliency to your environment. Modern applications often rely on queuing for service integrations, batch processing, or as part of workflow orchestration. ![]()
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