Scalegrid

JANUARY 25, 2024

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. All these contribute significantly towards ensuring smooth functioning.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. Dynatrace news. Advanced customization of OneAgent deployments made easy.

Best Practices 206

Best Practices Storage Java Benchmarking 206

HammerDB

APRIL 19, 2023

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

Scalegrid

DECEMBER 6, 2023

Understanding this DBaaS system might take some adjusting too similar just how traveling on cruises has its tempo which requires us to get used to optimally benefit from what it provides. The great thing about this is that it provides companies with an unprecedented level of freedom when configuring their system.

Database 130

Database Cloud Hardware Storage 130

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

MARCH 23, 2023

As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Benchmark before you decide. Transparent huge pages (THP) disabled.

Performance 125

Performance Hardware Tuning Storage 125

Particular Software

SEPTEMBER 20, 2021

Why RPC is “faster” It’s tempting to simply write a micro-benchmark test where we issue 1000 requests to a server over HTTP and then repeat the same test with asynchronous messages. But to be fair, we also have to process the messages on the server before we can consider the messaging case to be complete.

Benchmarking 97

Benchmarking Latency Servers Systems 97

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. We explore all the systems necessary to make and stream content from Netflix.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. We explore all the systems necessary to make and stream content from Netflix.

AWS 100

AWS Entertainment Open Source Benchmarking 100

Percona

JUNE 22, 2023

Indexing efficiency Monitoring indexing efficiency in MySQL involves analyzing query performance, using EXPLAIN statements, utilizing performance monitoring tools, reviewing error logs, performing regular index maintenance, and benchmarking/testing. This KPI is also directly related to Query Performance and helps improve it.

Performance 104

Performance Monitoring Traffic Database 104

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. Why HammerDB was developed. HammerDB Licensing.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. When a problem occurs, we put on our detective hats and start our mystery-solving process by gathering evidence. by Elizabeth Carretto Everyone loves Unsolved Mysteries.

Latency 296

Latency Transportation Engineering Traffic 296

Particular Software

OCTOBER 26, 2020

Backed by Cosmos DB, a fully managed, globally distributed, elastically scaled, pay-as-you-go service, your NServiceBus-based systems can benefit from guaranteed single-digit-millisecond latency with 99.999% availability. How does this compare with Azure Storage Persistence?

Azure 52

Azure Storage Benchmarking Latency 52

The Morning Paper

AUGUST 29, 2019

use the TPC-H benchmark to assess Redshift, Redshift Spectrum, Athena, Presto, Hive, and Vertica to find out what works best and the trade-offs involved. We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. Key findings. Key findings.

Architecture 76

Architecture Cloud Storage Serverless 76

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 In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 136

Tuning Cache Servers Benchmarking 136

Percona

JULY 1, 2023

For those with applications already built on MySQL or PostgreSQL, migrating to Aurora is a straightforward process requiring minimal code changes, as it supports the same protocols, tools, and drivers. This capability is valuable for reverting to a previous state, whether to recover from data corruption or any other incident.

AWS 52

AWS Database Serverless Storage 52

The Morning Paper

NOVEMBER 8, 2020

While ultimately this new system should be able to take advantage of the latest advances in consensus for improved performance, that’s not realistic given a 6-9 month in-production target. It’s such a powerful idea that I can imagine distributed systems implementers everywhere adopting it from now on. What does the VirtualLog give us?

Virtualization 126

Virtualization Latency Storage Systems 126

Percona

MAY 1, 2023

It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. What is PostgreSQL performance tuning?

Tuning 52

Tuning Efficiency Database Performance 52

HammerDB

NOVEMBER 5, 2018

This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . SQL> alter system flush buffer_cache; System altered. This wait by the session is what is typically seen as a log wait. To illustrate the data reads on Oracle we can flush the buffer cache.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Percona

JULY 25, 2023

After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. A node completes the SST process faster and joins the PXC cluster quickly. Benchmarks xtrabackup –prepare on backup directory of other sizes like 10K, 50K, 100K, and 250K tables.

Cache 86

Cache Benchmarking Servers Design 86

Scalegrid

JULY 13, 2020

Oracle Database is a commercial, proprietary multi-model database management system produced by Oracle Corporation, and the largest relational database management system (RDBMS) in the world. Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. Compare Ease of Use.

Open Source 244

Open Source Tuning C++ Database 244

The Netflix TechBlog

MAY 21, 2019

Partners across the globe leverage Netflix device certification process on a continual basis to ensure that quality products and experiences are delivered to their customers. The certification process involves the verification of partner’s implementation of features provided by the Netflix SDK.

Testing 163

Testing AWS Lambda Network 163

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario.

Azure 72

Azure Virtualization Servers Storage 72

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. Some disruption might occur, but it will be minimal. Fault tolerance aims for zero downtime and data loss.

Availability 108

Availability Database Open Source Hardware 108

HammerDB

DECEMBER 14, 2022

Our Linux test system is running a MariaDB 10.10 On a system with docker installed, use docker pull tpcorg/hammerdb to pull the latest image. MariaDB) starting as process 4483. By default the schema will build 5 x the number of warehouses of the CPUs on the system. Benchmark set to TPC-C for MariaDB. Docker Hub.

C++ 62

C++ Virtualization Database Benchmarking 62

Percona

SEPTEMBER 1, 2023

A finely tuned database processes queries more efficiently, leading to swifter results. Enhanced User Experience Whether you operate an e-commerce platform, a content management system, or any other application reliant on MySQL, users will notice and appreciate the improved speed and responsiveness.

Tuning 52

Tuning Database Performance Hardware 52

Percona

JANUARY 24, 2023

This will be clearly visible in PostgreSQL performance benchmarks as a “ Sawtooth wave ” pattern observed by Vadim in his tests: As we can see, the throughput suddenly drops after every checkpoint due to heavy WAL writing and gradually picks up until the next checkpoint. But this comes with a considerable performance implication.

Database 117

Database Benchmarking Open Source Latency 117

Adrian Cockcroft

JUNE 21, 2022

Photo by Adrian I spent six years at Cambridge Consultants, building some interesting systems, managing our Sun workstations and learning a lot, but by then Sun had opened a sales office across the street, and I wanted to find out what they were going to release next, before everyone else.

Tuning 52

Tuning Benchmarking Engineering C++ 52

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The process model, user-kernel interactions, dynamic linking, and memory management concerns are all in scope, and the protection spans the OS/DBMS boundary. ASPLOS’19.

C++ 61

C++ Hardware Virtualization Benchmarking 61

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. faster access to external storage and data locality (I/O, bandwidth). For instance, scatter/gather pattern can be used to implement a MapReduce like batch processing architecture on top of Kubernetes. Performance.

Big Data 63

Big Data Storage Benchmarking Hardware 63

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. I.e. if system A generated 1.5X more transactions than system B in the fully audited benchmark then the HammerDB result was also 1.5X

C++ 40

C++ Benchmarking Virtualization Open Source 40

The Morning Paper

NOVEMBER 26, 2019

The synthesis process is quite straightforward as the expressive merge specification already describes what the result of a relational merge should be. ” The authors also implemented four large application benchmarks (TPC-C, TPC-E, RUBiS, and Twissandra) as a collection of MRDTs.

C++ 98

C++ Storage Benchmarking Efficiency 98

Smashing Magazine

SEPTEMBER 28, 2022

Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. On your first try, you can use it as a benchmark for optimizations later. On design systems, UX, web performance and CSS/JS. Caching partially stores your data and is not used as permanent storage.

Cache 126

Cache Performance Servers Social Media 126

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. We explore all the systems necessary to make and stream content from Netflix.

AWS 37

AWS Entertainment Open Source Benchmarking 37

Dotcom-Montior

JUNE 16, 2020

SaaS businesses are built upon the simplicity of computing, storage, and networking they provide to their users. To achieve the overall availability to your users, you first need to identify critical business transactions they perform , such as login, add product, edit product, upload image, process orders, download reports, and so on.

Infrastructure 52

Infrastructure Monitoring Mobile Benchmarking 52

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. Your Laptop has a filesystem used by hundreds of processes. It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users.

Architecture 52

Architecture Cache Azure Storage 52

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. Chrome has missed several APIs for 3+ years: Storage Access API.

Media 145

Media Games Education Engineering 145