Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Load balancers can detect when a component is not responding and put traffic redirection in motion.

Availability 132

Availability Database Open Source Hardware 132

ACM Sigarch

OCTOBER 12, 2020

I suggest it’s long past time to move beyond C and SPEC benchmarks and our exclusive focus on “metal” languages. There are already standard benchmark suites for JavaScript performance in the browser, and we can include applications written in node.js (server-side JavaScript), Python web servers, and more.

C++ 108

C++ Benchmarking Hardware Architecture 108

HammerDB

OCTOBER 23, 2023

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. On MySQL, we saw a 1.5X

Benchmarking 63

Benchmarking Database Network C++ 63

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

Performance 136

Performance Monitoring Traffic Database 136

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Connected_slaves provides information about replication status while Used_memory tracks utilized amount of server’s total capacity. You can pick a smart selection of relevant metrics from these.

Metrics 130

Metrics Monitoring Latency Cache 130

Adrian Cockcroft

SEPTEMBER 23, 2024

Most publications have simply reported the benchmark improvement claims, but if you stop to think about them, the numbers dont make sense based on a simplistic view of the technology changes. So first thing to understand is that the benchmark skips a generation and compares product that differs over about a two year interval.

Benchmarking 52

Benchmarking Energy Architecture Latency 52

Scalegrid

JULY 13, 2020

The $47,500 licensing costs for Oracle Enterprise Edition is only for one CPU core, that ultimately has to be multiplied with the actual number of cores on the physical server. Oracle support for hardware and software packages is typically available at 22% of their licensing fees. . $104,310. So Which Is Best?

Open Source 244

Open Source Tuning C++ Database 244

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. These databases require significant time commitment along with necessary technical skills plus hardware & software costs, all of which are without dedicated team assistance. These advantages come at an expense.

Database 130

Database Cloud Hardware Storage 130

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. Load balancing: Traffic is distributed across multiple servers to prevent any one component from becoming overloaded.

Availability 98

Availability Hardware Open Source Database 98

SQL Performance

AUGUST 27, 2019

On August 7, 2019, AMD finally unveiled their new 7nm EPYC 7002 Series of server processors, formerly code-named "Rome" at the AMD EPYC Horizon Event in San Francisco. This is the second generation EPYC server processor that uses the same Zen 2 architecture as the AMD Ryzen 3000 Series desktop processors.

Servers 52

Servers Benchmarking Virtualization Architecture 52

VoltDB

JULY 24, 2024

As part of our new support for ARM processors , we recently ran benchmarks on both Intel C7 and ARM c7g on AWS. The goal of these benchmarks was to both quantify performance differences between the two platforms and gain an understanding of their TCO. We used an in-house benchmark called voltdb-charglt.

AWS 52

AWS Benchmarking Hardware Latency 52

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 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 72

Benchmarking Database Operating System Architecture 72

SQL Performance

JULY 16, 2019

A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. Despite all of this, Intel is not going to lose their entire server processor business any time soon.

Servers 46

Servers Hardware Architecture Retail 46

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. and we may have been flying close to the edge of hardware cache warmth, where adding a bit more instructions caused a big drop.

Java 137

Java Cache Google Hardware 137

HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. Basic Benchmarking Concepts. To benchmark a database we introduce the concept of a Virtual User.

Programming 68

Programming Benchmarking Virtualization C++ 68

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. Supported Databases.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

Percona

JANUARY 19, 2023

There are a couple of blog posts from Yves that describe and benchmark MySQL compression: Compression Options in MySQL (Part 1) Compression Options in MySQL (Part 2) Archive or purge old or non-used data: Some companies have to retain data for multiple years either for compliance or for business requirements.

Open Source 111

Open Source Storage Database Big Data 111

Alex Russell

MARCH 6, 2021

Hardware Past As Performance Prologue. Using a global ASP as a benchmark can further mislead thanks to the distorting effect of ultra-high-end prices rising while shipment volumes stagnate. But the hardware future is not evenly distributed, and web workloads aren't heavily parallel. Today, either method returns a similar answer.

Performance 127

Performance Network Mobile Metrics 127

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 Metrics view for benchmark. When a benchmark workload has completed, use the selection tool in the graph to select the metrics for a period of time of interest.

Metrics 63

Metrics Benchmarking C++ Database 63

Brendan Gregg

SEPTEMBER 25, 2021

This server is spending about a third of its CPU cycles just checking the time! As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. 30.14% in the middle of the flame graph. Searching shows it was elsewhere as well for a total of 32.1%.

Speed 103

Speed Java AWS Virtualization 103

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

HammerDB

APRIL 19, 2023

GHz 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) Up to 20% higher compute performance than z1d instances Up to 50 Gbps of networking speed Up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (EBS) We can also verify these capabilities by running some simple benchmarks on the different subsystems.

Performance 55

Performance Benchmarking Cache Storage 55

SQL Server According to Bob

AUGUST 23, 2021

HOW IT WORKS: SQL Server Scheduler Affinity SQL Server uses 3 types of affinity to control where the SQL Server worker threads execute. Node Types SQL Server makes a specific distinction between scheduling and memory nodes. This allows you to scale up or down the SQL Server schedulers without restarting the SQL Server.

Servers 40

Servers Azure Operating System Database 40

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. Late-loading JavaScript can cause “server-side rendered” pages to fail in infuriating ways. The server sends it as a stream of bytes and when the browser encounters each of the sub-resources referenced in the document, it requests them. Global Ground-Truth.

Performance 74

Performance Network Benchmarking Mobile 74

ACM Sigarch

OCTOBER 25, 2018

The per-core power budget is similarly constrained for servers. Server processors have a power budget around 170W, but they also have more cores per die in order to compete on throughput. She is currently a Principal Hardware Engineer at Microsoft in the Quantum Architecture Group.

Architecture 67

Architecture Technology Technology Innovation 67

Percona

MAY 1, 2023

Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. This not only results in cost savings by minimizing hardware requirements but also has the potential to decrease cloud expenses.

Tuning 52

Tuning Database Efficiency Performance 52

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Reduced Resource Usage Optimizing resource-intensive queries and configurations can lead to a reduced burden on your server. Indexing is another powerful technique for query optimization.

Tuning 52

Tuning Database Performance Hardware 52

HammerDB

JUNE 27, 2024

Arguably, the most common beginning errors with database benchmarking is for a user to select a single point of utilisation (usually overconfigured) and then extrapolate conclusions about system performance from this single point. The performance profile allows you to group these related TPROC-C workloads together with a single profile ID.

C++ 52

C++ Performance Benchmarking Virtualization 52

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. 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.

C++ 40

C++ Benchmarking Virtualization Open Source 40

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. When available, it can use hardware level performance counters.

Big Data 45

Big Data Cloud Performance Hardware 45

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Bottlenecks can occur, for example, if you have a sudden surge in traffic that your servers are not equipped to handle. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Doing extensive benchmarks will be the subject of a future blog post. In any case, you should benchmark both RDS MySQL and Aurora before taking the decision to migrate.

AWS 52

AWS Database Serverless Storage 52

Brendan Gregg

SEPTEMBER 25, 2021

This server is spending about a third of its CPU cycles just checking the time! As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. 30.14% in the middle of the flame graph. Searching shows it was elsewhere as well for a total of 32.1%.

Speed 52

Speed Java AWS Virtualization 52

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. perf special.

Best Practices 40

Best Practices Scalability Performance C++ 40

Brendan Gregg

SEPTEMBER 25, 2021

This server is spending about a third of its CPU cycles just checking the time! As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. 30.14% in the middle of the flame graph. Searching shows it was elsewhere as well for a total of 32.1%.

Speed 40

Speed Java AWS Virtualization 40