Dynatrace

MAY 20, 2020

Every metric has metadata properties that are important for efficiently querying data. Whenever you work on a query and apply transformations to a metric, you can use the endpoint to crosscheck the definition of the transformed metric (such as shown above). Easily access all metadata for a selected metric. metrics/query?metricSelector=builtin:apps.other.apdex.osAndVersion:merge(App

Metrics 216

Metrics Operating System Tuning Monitoring 216

HammerDB

FEBRUARY 25, 2021

However, having the application logic in the client is even worse because you are sacrificing key database efficiencies of prepared statements. Of course, you can prepare individual statements, however you can see major efficiency gains by using natively compiled stored procedures. Glue language. Tcl Multithreading in parallel.

Programming 67

Programming Benchmarking Virtualization C++ 67

The Morning Paper

MAY 21, 2019

We focus on a definition that draws from the following two principles: (1) the value of temporal locality, by classifying as cold a memory page that has not been accessed beyond a threshold of T seconds; (2) a proxy for the application effect of far memory, by measuring the rate of accesses to cold memory pages, called promotion rate.

Software 78

Software Software Google Hardware 78

O'Reilly Software

APRIL 4, 2018

Are there inherent time relationships in the messages that need to be preserved as they travel across the system? The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. They have a clear input and output definition, and often a schema as well. At least once?

Architecture 80

Architecture Scalability Google Operating System 80

Randon ASCII

APRIL 17, 2018

When you own all of the code then this may involve some back of the envelope estimates, competitive benchmarking, or intuition tuned by experience. When dealing with a closed box like Microsoft’s NTFS file system it’s trickier to know if things could be running faster than they are. You know where to find me.

Monitoring 43

Monitoring C++ Code Processing 43

SQL Server According to Bob

JANUARY 11, 2020

Many of these systems support I/O ordering with a stable media cache and subsequently combine and/or split I/O requests across available subsystem resources to complete the storing to physical media. For specific information on I/O tuning and balancing, you will find more details in the following document.

Servers 40

Servers Cache Media Hardware 40

High Scalability

NOVEMBER 25, 2019

Version7 (Future): Move all compute to the public cloud, carve out more services for impact isolation, dynamic resource pooling to manage pets and cattle efficiently. You can’t optimize what you can’t measure: Measure everything possible and relevant and then optimize parts of systems that are used 80% of the time first.

Architecture 52

Architecture Cache Azure Storage 52