Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

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. Derived Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

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. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 111

Availability Database Open Source Hardware 111

The Morning Paper

MAY 23, 2019

Looking across a set of eight Java benchmarks, we find that only two of them are array dominated, the rest having between 40% to 75% of the heap footprint allocated to objects, the vast majority of which are small. Consider a B-Tree node from the B-tree Java benchmark: Uncompressed, it’s memory layout looks like (a) below. Evaluation.

Cache 61

Cache Benchmarking Hardware Java 61

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. Dynatrace news. OneAgents can be deployed via a single command execution or a double-click. Advanced mode – Don’t worry about remembering the syntax of installation parameters.

Best Practices 197

Best Practices Storage Java Benchmarking 197

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 67

Programming Benchmarking Virtualization C++ 67

The Morning Paper

JUNE 11, 2019

The goal here is to reduce the training times of DNNs by finding efficient parallel execution strategies, and even including its search time, FlexFlow is able to increase training throughput by up to 3.3x FlexFlow is also given a device topology graph describing all the available hardware devices and their interconnections.

Network 81

Network Strategy Hardware Benchmarking 81

Percona

JANUARY 19, 2023

In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL. Redundant indexes: It is known that accessing rows by fetching an index is more efficient than through a table scan in most cases. It can help us to save costs on storage and backup times.

Open Source 92

Open Source Storage Database Big Data 92

Percona

AUGUST 5, 2023

Various partition types, like RANGE, LIST, HASH, and KEY, are used for specific needs, from range-based data to custom criteria, to ensure efficient data handling and the optimization of queries. ensures that only relevant partitions are accessed, further enhancing query efficiency. Partition pruning, a feature in MySQL 5.7,

Strategy 40

Strategy Storage Database Best Practices 40

Alex Russell

APRIL 29, 2021

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. is access to hardware devices. This is as it should be. CSS Custom Paint.

Media 145

Media Games Education Engineering 145

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Some of these will serve large urban areas and will be sensitive to efficiency.

Hardware 56

Hardware Latency Virtualization Cloud 56

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. RDS also simplifies the process of automatic scaling based on workload demand, adding or subtracting replicas to efficiently distribute read requests and reduce costs during low demand.

AWS 52

AWS Database Serverless Storage 52

The Morning Paper

JUNE 27, 2019

Systems researchers are doing an excellent job improving the performance of 5-year old benchmarks, but gradually making it harder to explore innovative machine learning research ideas. Convolutional Capsule primitives can be implemented reasonably efficiently on CPU but problems arise on accelerators (e.g. GPU and TPU).

Systems 87

Systems Tuning Programming Innovation 87

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Some of these will serve large urban areas and will be sensitive to efficiency.

Hardware 40

Hardware Latency Virtualization Cloud 40

Abhishek Tiwari

DECEMBER 13, 2017

Apart from indexes, super efficient sorting and join operations are some major areas come to my mind with immediate benefits of using learned data structure. More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. Learned indexes.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 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. Prepare the testing environment: Make sure your hardware and network configurations closely reflect real world conditions. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

ACM Sigarch

OCTOBER 25, 2018

Finally, the paper An Expanded Benchmarking of Beyond-CMOS Devices Based on Boolean and Neuromorphic Representative Circuits makes the case that some of these new technologies may potentially outperform CMOS on alternative computing paradigms such as non-boolean circuits based on cellular neural networks.

Architecture 67

Architecture Technology Technology Innovation 67

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. Deciding what benchmark to use for a performance budget is crucial. Contended, over-subscribed cells can make “fast” networks brutally slow, transport variance can make TCP much less efficient , and the bursty nature of web traffic works against us.

Performance 68

Performance Benchmarking Network Mobile 68

John McCalpin

JANUARY 22, 2018

Hardware performance counter results for a simple benchmark code calling Intel’s optimized DGEMM implementation for this processor (from the Intel MKL library) show that about 20% of the dynamic instruction count consists of instructions that are not packed SIMD operations (i.e., addl $1, %eax vfmadd213pd %zmm16, %zmm17, %zmm29.

Latency 40

Latency Hardware Code Testing 40

SQL Server According to Bob

JANUARY 11, 2020

Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies. Mirroring can be implemented at a software or hardware level.

Servers 40

Servers Cache Media Hardware 40

Alex Russell

JANUARY 30, 2024

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. 1] For these sites, we have to factor in the heavy cost of running JavaScript on the client when describing how much content we can afford.

Performance 90

Performance Network Mobile Speed 90

Smashing Magazine

JANUARY 6, 2020

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. In exchange, your team gains maintainability and developer efficiency, of course.

Performance 145

Performance Cache Network Servers 145

SQL Server According to Bob

JANUARY 11, 2020

KB ​​ boundaries efficiently. ​​ Although ​​ SQL Server ​​ tries ​​ to use the log space as efficiently as possible, ​​ certain application patterns cause the log-block fill percentages to remain small. ​​ This creates 8?KB

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 11, 2021

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing and execution times (we’ll talk about them in detail later). Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. compared to early 2015. Large preview ).

Performance 145

Performance Cache Media Google 145

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. For permissions data, we have rearchitected that layer many times and recently we wrote a TRIE to cache this efficiently. This is the current architecture.

Architecture 52

Architecture Cache Azure Storage 52