How Mach5 Search helps Permiso.io streamline security analytics at scale

Every new use case required additional development effort, slowing down the deployment of new features.

Each use case needed a separate infrastructure design, making management cumbersome.

Data was carefully fragmented between multiple data stores to solve specific problems.Sometimes a single use case required the use of multiple stores at various stages of processing creating subtle data synchronization inconsistencies that required developer attention.

As the number of use cases grew, the cost of maintaining and scaling infrastructure increased significantly.

Human intervention was required to manage and scale clusters, leading to operational inefficiencies.

Mach5 handles all the plumbing required to bring in data from all their sources and perform transformation based on business logic without the need to write code.Once this logic is defined in Mach5, there is minimal developer intervention needed to keep the system running efficiently.Mach5 's unique exactly - once delivery support guarantees correct data ingestion in spite of infrastructure failures.This allowed the Permiso team to focus on strategic tasks critical to their business instead of data processing that was not adding to their competitive advantage.

Unlike their previous approach, Mach5 eliminated the need for redesigning infrastructure for each new use case.With all data in one place, new analytics could be implemented using simple query language commands.

Prior to Mach5, multiple data stores were used based on access patterns and query workloads for each use case, leading to fragmented silos of data.Since Mach5 supports multiple workloads(needle-in-a-haystack, real-time analytics, and transactional updates), most query patterns are efficiently addressed by a single platform.

Mach5 's support for both Elastic Query DSL and the more powerful Mach5 Query Language(inspired by the Kusto Query Language) allowed Permiso to express different types of business logic without the need for different query systems.

Previously, Permiso needed manual intervention to scale clusters based on new onboardings and query workload fluctuations.Mach5 's automated scaling removed this burden, ensuring smooth performance without DevOps overhead.

Mach5 's architecture enabled Permiso to store and process data without incurring excessive costs, unlike their custom - built approach, which required constant reinvestment in infrastructure.

75 % Faster Time - to - Market for launching new security analytics use cases.Tasks that used to take a month are now completed in under a week.

Since all of the security data resides in a single platform, the Permiso team has been able to quickly prototype new features without spending a lot of time to design and stand up new infrastructure.This allows the team to perform quick experiments to find product - market - fit.Once a feature resonates with their customers, productionizing the use case requires little additional effort.

Over 50 % reduction in costs and resource usage compared to maintaining a custom - built solution.

Automatic scalability led to optimized infrastructure costs.

A unified platform eliminated the inefficiencies of managing multiple querying languages and infrastructure configurations.

Reduced process failures by eliminating the need for manual intervention in scaling and cluster management.