Dynatrace

JULY 8, 2020

Kubernetes has taken over the container management world and beyond , to become what some say the operating system or the new Linux of the cloud. That’s another example where monitoring is of tremendous help as it provides the current resource consumption picture and help to continuously fine tune those settings. .

Infrastructure 198

Infrastructure Monitoring Cloud Metrics 198

HammerDB

FEBRUARY 25, 2021

To benchmark a database we introduce the concept of a Virtual User. For this reason we need to implement our database sessions in the form of operating system threads. So having an application client mutex lock that artificially stalls our Virtual Users does not sound good. Basic Benchmarking Concepts. The Python GIL.

Programming 67

Programming Benchmarking Virtualization C++ 67

Adrian Cockcroft

JUNE 21, 2022

I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R. We had specializations in hardware, operating systems, databases, graphics, etc. Rich Pettit is one of the best programmers I ever met.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Dynatrace

NOVEMBER 4, 2019

In fact, once containerized, many of these services and the source code itself is virtually invisible in a standalone Kubernetes environment. Logs: A log file tells you about an event that has already happened; it is a record of events from software and operating systems. Code level visibility for fast problem resolution.

Monitoring 100

Monitoring Cloud Metrics Code 100

HammerDB

MAY 5, 2019

However as noted many factors affect spin-locks including how much time you actually spend in locks in the first place and therefore the best way to really determine how much time you have to spend in fine-tuning spin-locks in the real world can be done through testing. Vuser 1:TEST RESULT : System achieved 2159378 MySQL TPM at 713488 NOPM.

Testing 48

Testing Tuning Latency Storage 48

HammerDB

JANUARY 5, 2019

“ Scalability” is a product of both the benchmarking application itself (See the post on HammerDB Architecture to see how it scales implementing multiple virtual users as threads) as well as the benchmarking workload (The TPC benchmarks that HammerDB uses have been designed specifically for this purpose and proven over decades to scale).

Benchmarking 40

Benchmarking Database Social Media Scalability 40

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

SQL Server According to Bob

JANUARY 11, 2020

Subsystem / Path The ​​ I/O subsystem or path ​​ includes ​​ those ​​ components ​​ that are ​​ used to support an I/O operation.

Servers 40

Servers Cache Database Media 40

All Things Distributed

OCTOBER 2, 2017

We were pushing the limits of what was a leading commercial database at the time and were unable to sustain the availability, scalability and performance needs that our growing Amazon business demanded. Durable and Highly-Available – DynamoDB maintains data durability and 99.99 This was the genesis of the Amazon Dynamo database.

Internet 128

Internet Internet AWS Performance 128