Country & language Contact Home> Our Services> Optimize Optimize the productivity and the entire production floor Production optimization can be reached through different means. A constant stream of machine and production data is providing the insights that unlock advances in efficiency, quality, and pr...
You can significantly reduce your storage usage while maintaining cost-efficiency and effective data access. In Part 2, we show you how to use Heat Map statistics to monitor data usage and integrate this information with hybrid partitioning and ILM data movement...
Storage tiering based on data access pattern– Use Heat Map, ADO, and data movement ILM policies to move data to colder, less expensive storage tiers as data ages and becomes less frequently used The first two use cases are applicable across all deployment ...
Azure Blob Storage lifecycle management offers a rule-based policy that you can use to transition blob data to the appropriate access tiers or to expire data at the end of the data lifecycle.With the lifecycle management policy, you can:Transition...
Optimize for data efficiency This section includes various ways to configure New Relic features to optimize data reporting and ingest: APM agent Growth drivers Monitored transactions Error activity Custom events The volume of data generated by the APM agent will be determined by several factors: The...
Tuning in PostgreSQL refers to optimizing the database's performance and efficiency by adjusting various configuration parameters. This involves fine-tuning settings related to memory usage, CPU allocation, disk I/O, and query execution to ensure the database operates at its best. Effective tuning...
Azure Blob Storage lifecycle management offers a rule-based policy that you can use to transition blob data to the appropriate access tiers or to expire data at the end of the data lifecycle.With the lifecycle management policy, you can:Transition...
IBM helped the NFL go from five percent efficiency on its old systems to 90 percent by moving to a virtual server environment. Data processing efficiency goes up, storage provisioning resources go down by half. And IBM says the time has come for organizations in the lower rungs of that ...
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