Our revolutionary new low-code platform dramatically simplifies and accelerates the workload analysis process with proprietary AI algorithms that achieve near-instant results. Sign up for our Alpha release today.
AIOBench is proud to support AWS on our Beta release
We’re thrilled our venture was chosen to present at Intel’s recent developers conference. Recorded live from Fort Mason in San Francisco, our interactive tech demo gave developers from around the world a sneak peek into our platform and the chance to ask questions.
Turning the traditional process of cloud workload analysis on its head, our data-driven results are derived in a matter of seconds and minutes, instead of weeks and months, giving you the insights you need to go beyond default configurations and time-consuming trial and error.
Get instantaneous results with our AI-driven workload performance estimation algorithms and rapidly expanding list of supported applications.
Build custom cloud application topologies with drag-and-drop components, launch them in the cloud with the click of a button, and get results within minutes.
Our Alpha release supports the most common three-tier web applications, including:
Get actionable insights and cloud performance recommendations, including:
Our interactive Visual Cloud Canvas gives you the answers you need in minutes.
Featuring drag-and-drop workload components, interactive sliders, and informative data visualizations, our automated low-code platform has been developed to reduce the complexity of cloud service options.
Cut months of development time with instant estimations and rapid topology development.
Run multiple configurations of your cloud application and user workload in minutes.
Automate your what-if analysis processes with a single easy-to-use platform.
Get quick and easy visibility into your cloud costs with workload-specific analytics.
We make estimating cloud performance easy with instant scenario modeling and real-world simulations derived from AI algorithms. Developed with deep architectural expertise, these algorithms produce workload-specific performance estimations that are so reliable, they eliminate the need for time-consuming performance observation.
Seamlessly integrated into the DevOps workflow, our platform empowers everyone from performance engineers and cloud architects to program managers to reach their application architecture, deployment, and performance goals.
Enable continuous integration and development with our Beta release.
Launch with confidence with fast and accurate performance analysis.
Drive standardization and consistency by automating workload analysis processes.
Get to market faster and maximize performance for better customer experiences.
Founded by passionate group of Intel engineers with expertise in cloud development, performance analysis and optimization, data center storage technologies, and AI/ML algorithmic development, AIOBench is on a mission to transform cloud application performance analysis through the power of AI. Graduates of the 2021 Intel Incubation Program, our team is currently busy developing our Beta release with the goal of launching our MVP in early 2022.
The cloud computing industry is moving ahead at a rapid pace. Especially in the public cloud space, where the market is flooded with a wide variety of
Setting up a common functional microservice may be straightforward, but selecting the optimal performance-cost cloud SKU for deployment can be tricky.
