AWSSoftware / SaaSApplication RefactoringIT Operations AutomationReal-time AnalyticsApplication ModernizationCloud MigrationCloud NativeCost OptimizationData AnalyticsData PlatformComplianceCost ReductionProductivity ImprovementScalabilitySpeed to Market2023AWSAWS#ff9900Software / SaaSUnited StatesKatalon engineers had to set up and manage workflows for a growing number of customers who generated workloads with large fluctuations in volume depending on the time of day. “At first, we didn’t have a messaging…By implementing managed, serverless solutions from AWS, Katalon has automated its ability to scale while…Sep 8, 20236Application Refactoring|IT Operations Automation|Real-time AnalyticsAWS Lambda · AWS Marketplace · Amazon EKS02023-09-086
Application Refactoring · IT Operations Automation · Real-time Analytics
Katalon engineers had to set up and manage workflows for a growing number of customers who generated workloads with large fluctuations in volume depending on the time of day. “At first, we didn’t have a messaging system, and using a database to store all the events caused a crunch in processing,” says Vu Bui, application architect at Katalon. “We figured out that this is not the way to scale.” In 2019, Katalon turned
↗By implementing managed, serverless solutions from AWS, Katalon has automated its ability to scale while helping customers improve their time to market and save up to 70 percent on costs. “Our mission is to empower teams of all sizes to deliver exceptional digital quality experiences in a faster way than what they’re doing now,” says Binh Tran Du Hoa, vice president of product management at Katalon. “If we aim to inspire companies to make quality their essential catalyst, we need to be recognized as a leading innovator in software quality.”
↗It handles the scaling.” Because customers test more efficiently, they save significant costs. “Some of our customers have said that they cut 40–70 percent of their testing costs after switching to Katalon solutions,” says Tran.
↗Off-loaded managementof compute clusters Improved time to market for customers
↗The company also plans to upgrade to Java 11 so that it can take advantage of AWS Lambda SnapStart for Java , which can improve startup performance for latency-sensitive applications by up to 10 times at no extra cost, typically with no changes to function code.
Reported impact
Business outcome
Katalon offers its software-as-a-service solutions on AWS Marketplace , which simplifies the procurement, provisioning, and governance of third-party software, services, and data. As a result, Katalon customers can seamlessly introduce Katalon test automation and management solutions into their workflows, which in turn helps Katalon to expand its global footprint. The company also has plans to expand to AWS Region and Availability Zones in Europe and Asia Pacific. “The sum of it is that, using AWS, we can scale to bring in a lot more customers,” says Bui. “We worry less about infrastructure, because we have created a very good backbone for our messaging system.
Compliance
Cost Reduction
Productivity Improvement
Scalability
Speed to Market
Solution
Katalon provides a comprehensive quality management platform that uses artificial intelligence (AI) to help customers test software in development. The company’s goal is to speed up the laborious and costly process of software testing before customer products go into the marketplace. It has been working to remove or break down messages that exceed the 15-minute processing limit of AWS Lambda functions, with the idea of phasing out the use of AWS Elastic Beanstalk. And new services launch using Amazon Elastic Kubernetes Service (Amazon EKS), a managed Kubernetes service on AWS, as Katalon plans to migrate the existing compute infrastructure to Amazon EKS as its next modernization focus. More than 30,000 software, DevOps, and quality teams test and launch their software faster using Katalon’s solutions. “The best benefit is the scalability,” says Bui. “Using AWS Lambda, we don’t need to manage any physical node to provide the processing power. To
Data flow
processing runs on AWS Lambda, Amazon EKS for the analytics workload.
Solution architecture
3 components · 2 layers
Compute
AWS LambdaRuns core compute or model execution for the analytics workload.
Amazon EKSRuns core compute or model execution for the analytics workload.
Uncategorized
AWS MarketplaceRuns core compute or model execution for the analytics workload.
Architecture clues
And we don’t have to worry about the technical feasibility of that.” The company continues to focus on optimizing its serverless infrastructure.
As a result, Katalon customers can seamlessly introduce Katalon test automation and management solutions into their workflows, which in turn helps Katalon to expand its global footprint.
Katalon embarked on a project to further modernize its infrastructure by using microservices to handle the event messaging workflow, offload management of compute clusters, and optimize the use of automation.
The company also has plans to expand to AWS Region and Availability Zones in Europe and Asia Pacific. “The sum of it is that, using AWS, we can scale to bring in a lot more customers,” says Bui. “We worry less about infrastructure, because we have created a very good backbone for our messaging system.
To seamlessly accommodate customers’ fluctuating workloads, Katalon turned to AWS Lambda , a serverless, event-driven compute service that lets organizations run code for virtually any type of application or backend service without provisioning or managing servers.
Evidence from the source
It handles the scaling.” Because customers test more efficiently, they save significant costs. “Some of our customers have said that they cut 40–70 percent of their testing costs after switching to Katalon solutions,” says Tran.
Katalon embarked on a project to further modernize its infrastructure by using microservices to handle the event messaging workflow, offload management of compute clusters, and optimize the use of automation.
Katalon engineers had to set up and manage workflows for a growing number of customers who generated workloads with large fluctuations in volume depending on the time of day. “At first, we didn’t have a messaging system, and using a database to store all the events caused a crunch in processing,” says Vu Bui, application architect at Katalon. “We figured out that this is not the way to scale.” In 2019, Katalon turned
Katalon has also improved the productivity of its own teams. “We develop new products and features much faster than we did before,” says Tran. “Using AWS, we can focus on understanding our customers and addressing their needs.
More than 30,000 software, DevOps, and quality teams test and launch their software faster using Katalon’s solutions. “The best benefit is the scalability,” says Bui. “Using AWS Lambda, we don’t need to manage any physical node to provide the processing power.
To seamlessly accommodate customers’ fluctuating workloads, Katalon turned to AWS Lambda , a serverless, event-driven compute service that lets organizations run code for virtually any type of application or backend service without provisioning or managing servers.
Review how this reference was scored and trace each normalized claim back to its documented source.
01
Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value91/100
Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth20/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity16/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact25/25
4 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence92%
Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability25/25
12 of 12 key fields link to a named source.
Direct evidence20/20
6 direct source quotes retained.
Date provenance8/10
The publication date comes from publisher-controlled metadata.
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