One way to scale your Web applications is to use more servers, as well as add more CPU and memory. Yet, retrieving data from a database remains the most difficult bottleneck to solve on the way to scale. Forrester claims that 60 to 90 percent of database performance issues are related to the use of SQL.
Need to Accelerate Redis Development?
Recent Redis development experience:
Leverage a 250+ Strong Team with Proven Track Record
Altoros has played an important role in accelerating release cycles and reducing total cost of scale-out solutions for a number of technology companies:
- NorthScale (funded by Accel Partners and North Bridge Venture Partners)
- PodClass.com (funded by Facebook Fund fbFund)
- MoVoxx (funded by Khosla Ventures, Greycroft Partners, First Round Capital, and BV Capital)
- QuinStreet (funded by Matrix Partners, Split Rock Partners, and Sutter Hill Ventures)
By partnering with Altoros, your company can leverage expert engineers who specialize in design and deployment of directly-addressed, non-SQL, “key-value” cache systems (Memcached, Project Voldemort, Cassandra, and Hadoop) to reduce the number of queries and improve overall application performance.
- 10+ expert Redis developers and active contributors to Memcached
- 250+ strong, full-time team across 8 locations (California, Massachusetts, Norway, Denmark, UK, Switzerland, Argentina, and Eastern Europe)
- 91.5% of team members are senior or mid-level software engineers; a documented low retention rate
- Keep only “high-performers” by making firing decisions with 5 key performance metrics
- “Owner-like” responsibility to “productize” your scale-out initiative
- Ready to work under aggressive deadlines
- Unique performance assessment system that tracks individual progress, encourages team members for constant improvement, and prevents them from spending billable hours ineffectively
- Access to our R&D department that tracks the most innovative technologies to help our customers deliver software faster, with improved performance, and at a lower cost