Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. Use SLAs, SLOs, and SLIs as performance benchmarks for newly migrated microservices.

Architecture 231

Architecture Artificial Intelligence Cloud Open Source 231

Percona

AUGUST 5, 2023

This means that multiple partitions can be processed simultaneously, making better use of available hardware resources and further enhancing query performance. Careful planning and continuous monitoring are crucial to facing these challenges and achieving optimal performance. Common choices include time-based or range-based values.

Strategy 40

Strategy Storage Database Best Practices 40

Percona

AUGUST 30, 2018

Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability. Let’s examine the TPC-C Benchmark from this point of view, or more specifically its implementation in Sysbench.

Benchmarking 48

Benchmarking Database Operating System Architecture 48

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. For anyone benchmarking MySQL with HammerDB it is important to understand the differences from sysbench workloads as HammerDB is targeted at a testing a different usage model from sysbench. monitoring.

Best Practices 40

Best Practices Scalability Performance C++ 40

John McCalpin

JANUARY 22, 2018

Hardware performance counter results for a simple benchmark code calling Intel’s optimized DGEMM implementation for this processor (from the Intel MKL library) show that about 20% of the dynamic instruction count consists of instructions that are not packed SIMD operations (i.e., addl $1, %eax vfmadd213pd %zmm16, %zmm17, %zmm29.

Latency 40

Latency Hardware Code Testing 40

SQL Server According to Bob

JANUARY 11, 2020

ReadFile WriteFile ReadFileScatter WriteFileGather GetOverlappedResult ​​ For extended details on the 823 error, see ​​ Error message 823 may indicate hardware problems or system problems ​​ ( [link] i crosoft.com/default.aspx?scid=kb ​​ Contact your hardware manufacture for assistance.

Servers 40

Servers Cache Database Media 40

High Scalability

NOVEMBER 25, 2019

When it goes to production you would monitor it using the various internal tools like New Relic/Grafana, Kibana and if there is a regression you would fix it. We do a production deploy every Wednesday and monitor new relic, exception reports daily for any anomalies. New Relic is used to monitor the Application performance.

Architecture 52

Architecture Cache Azure Storage 52