Dynatrace

APRIL 8, 2021

In short, Lambda functions can take on almost all of the operational duties of running an application; all you need to do is provide the code that should be executed on a given event or trigger. This means that there is no need to provision or manage servers (or even containers). Auto scaling. Failure retries. Security isolation.

Lambda 221

Lambda AWS Serverless Monitoring 221

Dynatrace

APRIL 8, 2021

In short, Lambda functions can take on almost all of the operational duties of running an application; all you need to do is provide the code that should be executed on a given event or trigger. This means that there is no need to provision or manage servers (or even containers). Auto scaling. Failure retries. Security isolation.

Lambda 182

Lambda AWS Serverless Monitoring 182

HammerDB

NOVEMBER 22, 2021

This enables the user to compare and contrast performance across different benchmark scenarios. include/server -I/opt/postgresql-14.1/include/internal The example shows a TPROC-C workload running with 4 Active Virtual Users. The events are colour coded and indexed in the graph to the wait event groups.

Metrics 62

Metrics Benchmarking C++ Database 62

Percona

AUGUST 22, 2023

High availability refers to the continuous operation of a database system with little to no interruption to end users in the event of system failures, power outages, or other disruptions. Load balancing: Traffic is distributed across multiple servers to prevent any one component from becoming overloaded.

Availability 82

Availability Hardware Open Source Database 82

Dynatrace

FEBRUARY 25, 2021

exports.handler = async function(event, context) { console.log("EVENT: n" + JSON.stringify(event, null, 2)); return context.logStreamName; }. The virtual CPU is turned off. On the other hand, features needed for monitoring large applications, like memory dumps, code-level-visibility, or event loop metrics on Node.js

Lambda 218

Lambda AWS Monitoring Serverless 218

Percona

DECEMBER 23, 2022

The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes. I decided to use a virtual machine with two CPU cores, four GB of memory, and storage limited to a maximum of 1000 IOPs of 16KB. MyRocks Vs InnoDB.

Storage 56

Storage Cache C++ Virtualization 56

HammerDB

NOVEMBER 5, 2018

If you are new to running Oracle, SQL Server, MySQL and PostgreSQL TPC-C workloads with HammerDB and have needed to investigate I/O performance the chances are that you have experienced waits on writing to the Redo, Transaction Log or WAL depending on the database you are testing. Logging Waits. Why is this the case? Checkpoint not complete.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

HammerDB

DECEMBER 5, 2020

The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint. more transactions than system B in the fully audited benchmark then the HammerDB result was also 1.5X I.e. if system A generated 1.5X

C++ 40

C++ Benchmarking Virtualization Open Source 40

Brendan Gregg

MARCH 16, 2024

It was also a virtual machine that lacked low-level hardware profiling capabilities, so I wasn't able to do cycle analysis to confirm that the 10% was entirely frame pointer-based. Back-end servers. AET (Archetectural Event Trace) : Another Intel thing. The actual overhead depends on your workload. I haven't used it. (I

Java 145

Java Cache Google Hardware 145

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. I had attended these events when I was based in the UK, but became one of the organizers.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Percona

SEPTEMBER 1, 2023

MySQL server performance can sometimes be perplexing, and if you’ve ever wondered about the role of triggers in influencing your MySQL server’s memory allocation, this post is for you. These events, known as trigger events, can include actions like inserting, updating, or deleting records in database tables.

Cache 63

Cache Database Games Healthcare 63

SQL Server According to Bob

JANUARY 11, 2020

Microsoft, ​​ Windows, ​​ Windows NT, ​​ and Windows Server ​​ are registered trademarks of Microsoft Corporation in the United States and/or other countries. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

Servers 40

Servers Cache Database Media 40

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media Hardware 40

Smashing Magazine

JANUARY 11, 2021

In the end, it’s not the load events or server response times that define the experience, but the perception of how snappy the interface feels. Custom metrics measure a particular, custom event for the user, e.g. Twitter’s Time To First Tweet and Pinterest’s PinnerWaitTime. What does it mean?

Performance 145

Performance Cache Media Metrics 145

Alex Russell

MAY 9, 2022

Teams achieving this level of discipline about performance begin to eliminate variance from their lab data by running tests in "less noisy" environments than somewhere like a developer's laptop, a shared server, or a VM with underlying system variance. Level 4: Variance Control & Regression Prevention #. Photo by Mastars.

Performance 86

Performance Latency Metrics Engineering 86