HammerDB

OCTOBER 18, 2019

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks .

Benchmarking 63

Benchmarking Performance Hardware C++ 63

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

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Data loading patterns are an essential part of your application as they will determine which parts of your application are directly usable by visitors. But isn’t waiting for the data the point?

Cache 126

Cache Performance Servers Social Media 126

Scalegrid

MARCH 22, 2024

This covers everything from tech specs and what you expect from the service to security, how you’ll handle data, and how services will be managed. Hosting either on-premises or with third-party data center providers and deciding whether management services should be conducted internally or outsourced.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

JUNE 27, 2022

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about users’ interactions with an application. RUM collects data on each user action within a session, including the time required to complete the action, so IT pros can identify patterns and where to make improvements in experience.

Best Practices 183

Best Practices Monitoring Wireless Traffic 183

Percona

APRIL 6, 2023

PostgreSQL is a popular open source relational database management system many organizations use to store and manage their data. One of the key benefits of using PostgreSQL is its reliability, scalability, and performance. Two benchmarks from users can be found here: [1] [2] 4. Pgpool-II This is where the pgpool-II comes in.

Cache 114

Cache Open Source Benchmarking Database 114

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. Database as a Service (DBaaS) providers are an alternative option that acts almost like going on a cruise ship: quick provisioning is facilitated by them, while scalability, support services, and flexibility benefit from pay-as-you-go models.

Database 130

Database Cloud Hardware Storage 130

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. This applies to both virtual machines and container-based deployments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 2, 2023

Because they’re separate, they allow for faster release cycles, greater scalability, and the flexibility to test new methodologies and technologies. Teams can gain this understanding through topology mapping , with telemetry data from request traces, and understanding how the frontend ties to backend functions.

Architecture 241

Architecture Artificial Intelligence Cloud Open Source 241

Dynatrace

NOVEMBER 2, 2020

Today’s IT infrastructures combine on-premise data centers, servers, and mainframes with highly dynamic multi-cloud environments, with microservices running in containers, spanning multiple clouds and hybrid infrastructure. Ensures platform is flexible and scalable to handle peaks by sending alerts to IT management.

Infrastructure 209

Infrastructure Monitoring Virtualization Serverless 209

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

The Netflix TechBlog

OCTOBER 19, 2020

Traces collected from various microservices are ingested in a stream processing manner into the data store. Edgar uses this infrastructure tagging schema to query and join traces with log data for troubleshooting streaming sessions. Stream Processing: to sample or not to sample trace data?

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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 54

Performance Benchmarking Cache Storage 54

The Netflix TechBlog

NOVEMBER 22, 2019

Technology advancements in content creation and consumption have also increased its data footprint. To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

Technology advancements in content creation and consumption have also increased its data footprint. To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows.

AWS 100

AWS Entertainment Open Source Benchmarking 100

Percona

MARCH 17, 2023

But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment. We conducted thorough research to improve scalability and the user experience on our Home Dashboard for 1,000 database services.

Monitoring 99

Monitoring Scalability Cache Database 99

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. better cluster resource utilization.

Big Data 63

Big Data Storage Benchmarking Hardware 63

The Netflix TechBlog

MARCH 14, 2023

Earlier we shared the details of one of these algorithms , introduced how our platform team is evolving the media-specific machine learning ecosystem , and discussed how data from these algorithms gets stored in our annotation service. It allowed us to transparently update the algo data without users knowing about it. Incredible!”

Media 291

Media Innovation Energy Architecture 291

Scalegrid

JULY 13, 2020

Oracle requires more complex ongoing administration, as all database configurations must evolve in conjunction with the data schemas and custom code. Scalability. PostgreSQL offers free scalability, and can scale up to millions of transactions per seconds. CitusDB – distributes data and queries horizontally across nodes.

Open Source 244

Open Source Tuning C++ Database 244

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. Likewise it has very low requirements on the initial amount of training data.

Testing 163

Testing AWS Lambda Network 163

Percona

NOVEMBER 3, 2023

From upholding data integrity to ensuring no data is lost during the transition, there’s a lot to consider. Data preparation: How are you going to backup and cleanse your data? Schema, data, and app migration: Do you have the right tools at your disposal? Database migration is complex Let’s start here.

Database 83

Database Open Source Benchmarking Strategy 83

Percona

MARCH 23, 2023

While NVMe or SSDs are generally more expensive than HDDs, the increased performance and reliability that they offer make them a cost-effective choice for database servers that require fast access to data and minimal downtime. Benchmark before you decide. Transparent huge pages (THP) disabled.

Performance 125

Performance Hardware Tuning Storage 125

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. Fault tolerance aims for zero downtime and data loss. Data replication : Data is continually copied from one database to another to ensure that the system remains operational even if one database fails.

Availability 108

Availability Database Open Source Hardware 108

Highly Scalable

MARCH 10, 2015

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods.

Retail 152

Retail C++ Analytics Metrics 152

HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. This helps to minimise locking allowing multiple sessions to access the same data at the same time. However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database.

Programming 67

Programming Benchmarking Virtualization C++ 67

Percona

MARCH 27, 2023

Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark. If you rely heavily on queries against information_schema, then your workload will benefit from upgrading to MySQL/Percona Server for MySQL 8 because of the new data dictionary format. Results for Percona Server for MySQL 8.0

Cache 102

Cache Hardware Servers Benchmarking 102

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. Aurora Features High Performance and Scalability Amazon Aurora has gained widespread recognition for its exceptional performance and scalability, making it an ideal solution for handling demanding workloads.

AWS 52

AWS Database Serverless Storage 52

DZone

MARCH 31, 2020

While it wasn’t always possible to run an efficient environment while maximizing performance with on-premise servers and data centers, cloud clusters are particularly flexible in this respect. The true power of cloud computing lies in the way it can be optimized for maximum performance and efficiency.

AWS 170

AWS Performance Efficiency Scalability 170

High Scalability

SEPTEMBER 28, 2018

2 billion : Pokémon GO revenue since launch; 10 : say happy birthday to StackOverflow; $148 million : Uber data breach fine; 75% : streaming music industry revenue in the US; 5.2 JavaScript benchmark. Then please recommend my well reviewed book: Explain the Cloud Like I'm 10. They'll love it and you'll be their hero forever. $2

Internet 35

Internet Internet Scalability Blockchain 35

Percona

MAY 1, 2023

Schema design: Evaluating the database schema design and making adjustments such as partitioning large tables, eliminating redundant data, and denormalizing tables for frequently accessed information can improve performance. Slow queries and data retrieval can lead to frustrating delays that impact the user experience.

Tuning 52

Tuning Efficiency Database Performance 52

Percona

OCTOBER 12, 2023

A simple sysbench benchmark on MySQL shows an overhead between six and 10 percent on CPU-bound systems when running perf with the default sampling frequency of 4000 Hz. In some cases, it’s possible to run profilers manually on Kubernetes to have more control over the data collection process.

Code 110

Code Tuning C++ Benchmarking 110

The Morning Paper

AUGUST 29, 2019

There’s a broad set of choices including where you store the data, whether you run your own DBMS nodes or use a service, the kinds of instance types to go for if you do run your own, and so forth. We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems.

Architecture 76

Architecture Cloud Storage Serverless 76

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. datadir=/home/mysql/data. my.cnf Installing MariaDB/MySQL system tables in '/home/mariadb/data'. HammerDB difference from Sysbench.

Best Practices 40

Best Practices Scalability Performance C++ 40

Percona

MARCH 20, 2023

In this case, we have a quite well-defined scenario that can resemble the image below: In this scenario, the proxies must sit inside Pods, balancing the incoming traffic from the Service LoadBalancer connecting with the active data nodes. Utilizing it close to the data nodes in a centralized position is a mistake.

Games 121

Games Latency Traffic Cache 121

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. In early January a related paper was published by Satoshi Matsuoka et. petaflops, which is 0.8%

Architecture 52

Architecture Latency Benchmarking AWS 52

Percona

SEPTEMBER 1, 2023

Scalability As your data volume and user base expand, a finely tuned database can seamlessly accommodate increased workloads without compromising performance. This scalability ensures that your applications can grow in tandem with your business or user demands, maintaining a high level of operational efficiency.

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

OCTOBER 31, 2019

With Dynatrace Synthetic you can deliver clean-room performance benchmark and availability monitoring for your business. With these additional availability zones you’ll get: More scalability and load-balancing options. Dynatrace news. More resiliency and even safer public synthetic monitoring locations.

Scalability 20

Scalability Traffic Benchmarking Monitoring 20