


Through their solutions, the team at AskLytics is enriching the life of DevOps teams and IT consulting service providers by identifying performance bottlenecks and resolving them without involving subject-matter experts (SMEs). “One way of how we help them out is providing tools that predict in advance how the applications will perform on the infrastructure during every iteration of the development life cycle helping mitigate risks early on.
In one case, AskLytics enabled engineers to be proactive in optimizing system resources during the continuous testing of software builds. This saved time and effort during the performance testing phase. In another case, they helped an organization to replatform by moving their applications from commercial web servers which ran on internal servers to open source web servers on cloud infrastructure. AskLytics’ software provided key performance and capacity metrics. This enabled the operations team to determine the right compute type and sizing to meet the SLOs (Service Level Objectives).
Having set a benchmark in their arena, AskLytics believes that not only large U.S. and European markets, but also APEJ, which is smaller but much faster in the adoption of cloud-based services, can benefit significantly from its solutions. The higher rate can result in the common pitfall of overuse of IT infrastructures, thus making optimization of performance a key way to saving costs. The engineers at the company are also improving the existing statistical tools, and are building an intelligent framework which can make use of the gained knowledge to predict the application performance and system behavior under a variety of loads without having to run an elaborate set of tests. “Infrastructure performance is application performance. We intend to make sure that the effort needed to optimize application performance and IT infrastructure costs is minimized to the maximum extent possible,” concludes Poola.
Company
AskLytics Inc
Headquarters
Sunnyvale, CA
Management
Tiago Poola, Founder & CEO
and Vladimir Volchegursky, Chief Data Scientist
Description
Empowers DevOps with optimizing application performance and reducing IT infrastructure costs using machine learning solutions
