Check Point® Software Technologies Ltd. announced the new Check Point Quantum Firewall Software R82 (R82) and additional innovations for the Infinity Platform.
In the traditional process of software development, designers pass on their designs to developers who do all the coding as per the client or business requirements. Thereafter, testers get into the picture to conduct functional and non-functional testing and release the code to the operations team. Any issues raised in any part of the lifecycle are passed to the developers before the cycle repeats itself. Needless to say, this process takes an unusually long time and is an anachronism in today's fast-paced software development cycle.
DevOps takes a drastic departure from the status quo by combining processes, tools, and practices to accelerate the application's time to market while upholding its quality. DevOps helps remove barriers that prevent organizations from developing, testing, delivering, and updating applications or systems quickly. Its focus on continuous integration and delivery reduces the SDLC to a minimum.
Creating a DevOps Culture
The objective of DevOps implementation is to create an automated pipeline to deploy and update software applications. Since it requires the seamless collaboration and performance of all departments and stakeholders to achieve a common goal, it needs to take everyone on board. However, collaboration among departments is not limited to merely sharing tools or processes, but making a cultural shift.
To derive maximum benefit from a DevOps approach, a continuous testing strategy should be implemented throughout the SDLC. Although functional testing entails checking the code for errors and providing quick feedback to developers when needed, there is a need to ensure better performance of applications to deliver superior user experiences. This calls for implementing DevOps performance testing.
Reasons for Doing Performance Testing in DevOps Continuous Testing
Even as faster time to market for software applications has become important, the performance of such applications is the ultimate key to success. It answers the question of how to ensure the code released will perform as per the business requirements. With the DevOps methodology, various teams combine processes, tools, and practices to deliver change seamlessly and without any performance risk. In simple terms, continuous delivery needs continuous performance. The other reasons why DevOps performance testing is critical to the success of the application are:
■ Since many enterprises are migrating their applications to public cloud platforms such as Azure, Google Cloud, or AWS, any changes to the moving parts of such platforms, namely, virtual machines, load balancers, and others, may impact the performance of applications. Thus, it is important to monitor the performance of such applications, especially when they are hosted in a cloud environment.
■ Many applications implement A/B testing or other experiments to increase conversions. So, when business teams launch such experiments without involving the IT team, they can influence the applications' performance adversely.
Benefits of Doing Continuous Testing in DevOps for the CI/CD Process
The CI/CD process in DevOps needs to be monitored for performance to achieve the following benefits:
■ DevOps continuous testing captures key performance metrics of applications, database queries, or APIs, leading to the identification of any inherent performance issues.
■ The quick feedback given to developers about any performance-related issues can ensure the removal of bottlenecks in the code at the early stage of the SDLC. The cost of fixing bugs during the early stages of development is cheaper than doing the same during production.
■ When performance test metrics are checked against baselines, they can help identify latency issues, performance degradations, and other errors.
■ Continuous testing for performance helps cloud-based applications to measure stability and on-site performance on a regular basis.
A key factor influencing the success of software applications in the market, especially in the e-commerce and BFSI domains, is scalability. What happens if the application cannot handle an increase in user traffic and shows performance issues such as latency or downtime? For any existing continuous testing framework, DevOps performance testing should be integrated to ensure the application performs as expected before moving a build to the next stage.
Conclusion
For the overall customer experience, the performance of a web or mobile application in terms of latency, stability, and others should be ensured. This calls for integrating performance testing into the DevOps-driven CI/CD automated pipeline. In the rapid DevOps driven software delivery process, automated performance testing can help save time, keep the development process on track, and deliver high quality. Incorporating performance testing into a DevOps-driven workflow can create a centralized environment where every stakeholder knows his or her job at hand.
Industry News
Sonatype and OpenText are partnering to offer a single integrated solution that combines open-source and custom code security, making finding and fixing vulnerabilities faster than ever.
Red Hat announced an extended collaboration with Microsoft to streamline and scale artificial intelligence (AI) and generative AI (gen AI) deployments in the cloud.
Endor Labs announced that Microsoft has natively integrated its advanced SCA capabilities within Microsoft Defender for Cloud, a Cloud-Native Application Protection Platform (CNAPP).
Progress announced new powerful capabilities and enhancements in the latest release of Progress® Sitefinity®.
Red Hat announced the general availability of Red Hat Enterprise Linux 9.5, the latest version of the enterprise Linux platform.
Securiti announced a new solution - Security for AI Copilots in SaaS apps.
Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.
OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.