Project Detail
Increase of server throughput is needed to ensure high quality of handling multiple user requests in systems with high rps (request per second). However, increasing server throughput alone can not completely eliminate the major cause of overload, in addition to that, it involves high expenses.
Scaling contributes to optimization of high load systems by partitioning database into structural elements according to certain criteria and their distribution between the servers. It can be either horizontal (the load is distributed between multiple servers) or vertical (increasing server performance).
Horizontal scaling is implemented by partitioning the data list. Replication and sharding help to isolate the load by splitting large data lists into logical sections according to the selected criteria. In-depth analysis and isolation of problem areas will help to increase the productivity of high load systems.
With over decade’s experience in creating software for innovative companies, we know everything about how to design and build robust architectures that can cope with high load. Performance, efficiency, scalability and reliability are the things that we take into account first combining them with our expertise in big data processing, cloud computing,databases administration and devops.
