Dynatrace

SEPTEMBER 23, 2021

Unfortunately, container security is much more difficult to achieve than security for more traditional compute platforms, such as virtual machines or bare metal hosts. Many good security tools provide that function, and benchmarks from the Center for Internet Security (CIS) are clear and prescriptive. Why is container security tricky?

Open Source 255

Open Source Benchmarking Best Practices Network 255

Dynatrace

APRIL 8, 2021

In consideration of this reality, The Dynatrace Lambda monitoring extension supports all well-known IaC technologies to deploy Dynatrace along with your function. Today, Lambda can be monitored by Dynatrace in hybrid environments, thereby satisfying the enterprise requirements. This is where monitoring requirements come into play.

Lambda 226

Lambda AWS Serverless Monitoring 226

HammerDB

OCTOBER 24, 2023

BCP based load Now when we select the “Use BCP Option” We can see that we are now using an insert bulk command (although the item table being fixed at 100K rows and loaded by the monitor virtual user continues to use regular inserts). We thank @krithikasatish and @JoshInnis for this excellent contribution to HammerDB.

Servers 62

Servers C++ Benchmarking Virtualization 62

Rigor

FEBRUARY 19, 2020

Reading time 8 min There are many different classes of web performance tools, from synthetic monitoring to application performance monitoring ( APM) , to real user monitoring ( RUM ), and more. Is it a physical system or virtual? If virtualized, what is the technology used (VM, Docker, software package)?

Monitoring 59

Monitoring Benchmarking Mobile Traffic 59

Dynatrace

APRIL 8, 2021

In consideration of this reality, The Dynatrace Lambda monitoring extension supports all well-known IaC technologies to deploy Dynatrace along with your function. Today, Lambda can be monitored by Dynatrace in hybrid environments, thereby satisfying the enterprise requirements. This is where monitoring requirements come into play.

Lambda 188

Lambda AWS Serverless Monitoring 188

HammerDB

NOVEMBER 23, 2021

this web interface has been enhanced to add command line functionality to the service as well as extending the ability to query the database of configuration, results and timing data to be returned in JSON format, enabling a long-term repository of HammerDB benchmark data for integrating HammerDB into service based cloud environments.

Virtualization 70

Virtualization Benchmarking C++ Database 70

Percona

APRIL 7, 2023

To illustrate this, I ran the Sysbench-TPCC synthetic benchmark against two different GCP instances running a freshly installed Percona Server for MySQL version 8.0.31 To illustrate this, I ran the Sysbench-TPCC synthetic benchmark against two different GCP instances running a freshly installed Percona Server for MySQL version 8.0.31

Tuning 133

Tuning Cache Servers Benchmarking 133

HammerDB

JULY 6, 2023

Copy Code Copied Use a different Browser Vuser 1:80 Active Virtual Users configured Vuser 1:TEST RESULT : System achieved 701702 NOPM from 1631827 MariaDB TPM Fixing throughput with keying and thinking time The key concept to understanding fixed throughput is that of keying and thinking time.

Virtualization 57

Virtualization C++ Database Code 57

HammerDB

MARCH 25, 2023

It will create the number of virtual users to the number of CPUs on the system where HammerDB is running. using existing tables (188,416 KB) SETTING CONFIGURATION Database set to MariaDB Benchmark set to TPC-C for MariaDB. scripts/tcl/maria/tprocc/maria_tprocc.sh TMP/hammer.DB TMP/hammer.DB TMP/hammer.DB TMP/hammer.DB TMP/hammer.DB

C++ 83

C++ Virtualization Benchmarking Database 83

HammerDB

APRIL 27, 2021

This will show the benchmark options dialog. Benchmark Options. and benchmark set with the bm argument. In the example below we have modified the SQL Server, number of warehouses to build and the virtual users to build them. A key aspect is being able to visualise the multithreaded nature of the Virtual Users.

Virtualization 73

Virtualization Benchmarking Database Operating System 73

HammerDB

DECEMBER 14, 2022

and the test will run with the number of Virtual Users equivalent to the number of CPUs. Benchmark set to TPC-C for MariaDB. Building 20 Warehouses with 5 Virtual Users, 4 active + 1 Monitor VU(dict value maria_num_vu is set to 4). Vuser 1:Monitor Thread. Vuser 2:Waiting for Monitor Thread. vuset vu vcpu.

C++ 62

C++ Virtualization Database Benchmarking 62

HammerDB

NOVEMBER 30, 2022

Vuser 1:1 Active Virtual Users configured Vuser 1:TEST RESULT : System achieved 39945 NOPM from 92893 SQL Server TPM Vuser 1:Gathering timing data from Active Virtual Users. Running this script returns output as follows using the Python loop to drive HammerDB. Vuser 2:FINISHED SUCCESS Vuser 1:Calculating timings.

Virtualization 44

Virtualization C++ Lambda Monitoring 44

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

HammerDB

DECEMBER 1, 2022

For querying a build, the status command will show whether all Virtual Users started and finished successfully, allowing a quick way to check the status of a build. . By default the summary timings are reported, however by adding the vuid you can also drill down into the timings for a specific virtual user. Use a different Browser.

Virtualization 57

Virtualization C++ Storage Database 57

HammerDB

NOVEMBER 22, 2021

This enables the user to compare and contrast performance across different benchmark scenarios. By clicking on the Metrics Display option, HammerDB will connect to the target database and start monitoring the performance, note that if the pg_active_session_history table is empty the viewer will report an error and refuse to start.

Metrics 62

Metrics Benchmarking C++ Database 62

HammerDB

MAY 10, 2021

When taking this approach you would not focus on the test result but instead monitor the databases ability to cope with the variation in demand and transaction response times. Note that it is expected for Virtual User 1 of the replicas to end immediately with the message. Step Workloads. To implement Step Workloads, HammerDB v4.1

Virtualization 52

Virtualization C++ Database Monitoring 52

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. Enterprise environments are monitored, continuously profiled, and analyzed on a regular basis, so this capability will indeed be put to use.

Java 145

Java Cache Google Hardware 145

HammerDB

JULY 8, 2019

/restchk.tcl TEST DIRECT PRINT COMMANDS -- Printing output for db and converting JSON to text JSON format { "ora": "Oracle", "mssqls": "MSSQLServer", "db2": "Db2", "mysql": "MySQL", "pg": "PostgreSQL", "redis": "Redis" } TEXT format ora Oracle mssqls MSSQLServer db2 Db2 mysql MySQL pg PostgreSQL redis Redis Printing output for bm and converting JSON (..)

Benchmarking 40

Benchmarking Virtualization C++ Database 40

Percona

JUNE 22, 2023

Typically, the servers are configured in a primary/replica configuration, with one server designated as the primary server that handles all incoming requests and the others designated as replica servers that monitor the primary and take over its workload if it fails. there cannot be high availability.

Availability 104

Availability Database Open Source Hardware 104

Adrian Cockcroft

JUNE 21, 2022

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. 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.

Tuning 52

Tuning Benchmarking Engineering C++ 52

HammerDB

DECEMBER 9, 2020

<benchmark> <first_result>TPM</first_result> </benchmark> So why not just print NOPM and report a single metric for TPROC-C as per the official TPC-C workloads? Similarly for SQL Server TPM records Batches/sec which is the same value seen in the Activity Monitor in SSMS. Activity Monitor.

C++ 52

C++ Benchmarking Metrics Database 52

Apica

MAY 10, 2019

The spread of where consumers want to consume content, at home, at the office, at the gym, on a plane, at any time where there is connectivity, puts significant pressure on the network and performance monitoring teams for streaming brands. Load and stress-testing benchmark goals for the backend technological components.

Testing 40

Testing Performance Social Media Wireless 40

Percona

AUGUST 22, 2023

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Failure detection: Monitoring mechanisms detect failures or issues that could lead to failures. there cannot be high availability.

Availability 77

Availability Hardware Open Source Database 77

HammerDB

NOVEMBER 30, 2018

This article Threads Done Right… With Tcl gives an excellent overview of these capabilities and it should be clear that to build a scalable benchmarking tool this thread performance and scalability is key. As virtual users are started the database specific packages and workload specific modules are loaded into the virtual user threads.

Architecture 40

Architecture Virtualization Open Source C++ 40

Percona

DECEMBER 20, 2018

We’ll note how some of the Linux parameter settings used OS tuning may vary according to different system types: physical, virtual or cloud. In this benchmark, I discovered some interesting discrepancies in performance between AMD and Intel CPUs when running under systemd. A Look at MyRocks Performance.

Database 40

Database Tuning Performance AWS 40

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. support for logging, monitoring, and observability. In fact, if we go by current trends containerised microservices running on Kubernetes are the future.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Brendan Gregg

FEBRUARY 9, 2018

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. To understand the overhead further I'll need to use instruction-level profiling, such as by using perf annotate, and PMC (Performance Monitoring Counter) analysis of the CPU cycles (more on this later). ## 2.

Performance 75

Performance Benchmarking Cache Tuning 75

Percona

SEPTEMBER 1, 2023

Monitoring and Profiling : Continuously monitor trigger performance to identify and address slow-performing triggers promptly. Testing and Benchmarking : Thoroughly test triggers in a staging environment to evaluate their impact on performance. Benchmark different trigger implementations to identify the most efficient option.

Cache 59

Cache Database Games Healthcare 59

HammerDB

OCTOBER 12, 2018

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. Error in Virtual User 1: mysqlexec/db server: Table 'mysql.proc' doesn't exist. Vuser 1:56 Active Virtual Users configured.

Best Practices 40

Best Practices Scalability Performance C++ 40

Brendan Gregg

FEBRUARY 8, 2018

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. To understand the overhead further I'll need to use instruction-level profiling, such as by using perf annotate, and PMC (Performance Monitoring Counter) analysis of the CPU cycles (more on this later). ## 2.

Performance 40

Performance Benchmarking Cache Tuning 40

Smashing Magazine

JUNE 3, 2022

And today, we still have type in a digital context, but it travels through cables, wirelessly on smartphones, and in virtual reality glasses in 3D. In addition, typefaces can be more or less legible on different screens and monitor resolutions because they can be rendered with varying degrees of quality and sharpness.

Performance 110

Performance Design Best Practices Testing 110

Alex Russell

MAY 9, 2022

Teams looking to grow past Level 1 develop (or uncover they already had) Real User Monitoring (" RUM data") infrastructure in previous cycles. This also requires an investment in infrastructure and continuous monitoring. Browsers provide a lot of data about site performance. Nothing is more depressing than managerial cosplay.

Performance 86

Performance Latency Metrics Engineering 86

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Good for raising alarms and monitoring changes over time, not so good for understanding user experience. Vitaly Friedman.

Performance 145

Performance Cache Media Metrics 145

SQL Server According to Bob

JANUARY 11, 2020

​​ Latch enforcement ​​ changes the ​​ virtual ​​ memory protection ​​ ( VirtualProtect ) ​​ as the ​​ database ​​ pages are transitioned between the clean and dirty states.

Servers 40

Servers Cache Database Media 40