article thumbnail

MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

Scalegrid

In this blog post, we compare Azure Database for MySQL vs. ScaleGrid MySQL on Azure so you can see which provider offers the best throughput and latency performance. We measure latency in ms 95th percentile latency. MySQL Azure Performance Benchmark. Latency.

Azure 285
article thumbnail

Comparing Approaches to Durability in Low Latency Messaging Queues

DZone

This is the first time I have benchmarked it with a realistic example. Little’s Law and Why Latency Matters. In many cases, the assumption is that as long as throughput is high enough, the latency won’t be a problem. However, latency is often a key factor in why the throughput isn’t high enough A significant feature of Chronicle Queue Enterprise is support for TCP replication across multiple servers to ensure the high availability of application infrastructure.

Latency 275
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

RSocket vs. gRPC Benchmark

DZone

java performance scalability latency cpu grpc rpc qpsAlmost every time I present RSocket to an audience, there will be someone asking the question: "How does RSocket compare to gRPC?" " Today we are going to find out.

article thumbnail

Redis on Azure Performance Benchmark – ScaleGrid for Redis™ vs. Azure Cache

Scalegrid

Performance REDIS Azure benchmark Latency Performance Benchmark Redis Redis Azure ThroughputRedis is an advanced key-value store. In fact, it is the number one key value store and eighth most popular database in the world.

Azure 130
article thumbnail

Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

We note that for MongoDB update latency is really very low (low is better) compared to other dbs, however the read latency is on the higher side. The latency table shows that 99th percentile latency for Yugabyte is quite high compared to others (lower is better).

article thumbnail

Best MySQL DigitalOcean Performance – ScaleGrid vs. DigitalOcean Managed Databases

Scalegrid

Compare Latency. On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. MySQL DigitalOcean Performance Benchmark. Read-Intensive Throughput Benchmark. Balanced Workload Throughput Benchmark. Latency.

Database 141
article thumbnail

MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

High Scalability

In this blog post, we compare Azure Database for MySQL vs. ScaleGrid MySQL on Azure so you can see which provider offers the best throughput and latency performance. We measure latency in ms 95th percentile latency.

Azure 136
article thumbnail

Cross rack network latency in AWS

n0derunner

The post Cross rack network latency in AWS appeared first on n0derunner. Workloads & Benchmarks aws networkingI have VMs running on bare-metal instances. Each bare-metal instance is in a separate rack by design (for fault tolerance). The bandwidth is 25GbE however, the response time between the hosts is so high that I need multiple streams to consume that bandwidth. Compared to my local on-prem lab I need many more streams to.

Latency 40
article thumbnail

Single threaded DB performance on Nutanix HCI

n0derunner

SQL Server Workloads & Benchmarks aws diskspd fio latency rds sqlserver windowstl;dr A Nutanix cluster can persist a replicated write across two nodes in around 260 uSec (4KB IO using diskspd) which is critical for single-threaded DB write workloads.

article thumbnail

SLOG: serializable, low-latency, geo-replicated transactions

The Morning Paper

SLOG: serializable, low-latency, geo-replicated transactions Ren et al., That’s where SLOG (Serializable LOw-latency, Geo-replicated transactions) comes in. SLOG achieves high throughput, strictly serializable ACID transactions at geo-replicated scale for all transactions submitted across the world, all the while achieving low latency for transactions that initiate from a location close to the home region for data they access.

Latency 70
article thumbnail

How to Improve MySQL AWS Performance 2X Over Amazon RDS at The Same Cost

Scalegrid

As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure. ScaleGrid’s MySQL on AWS High Performance deployment can provide 2x-3x the throughput at half the latency of Amazon RDS for MySQL with their added advantage of having 2 read replicas as compared to 1 in RDS. MySQL Performance Benchmark Configuration.

AWS 123
article thumbnail

ScyllaDB Trends – How Users Deploy The Real-Time Big Data Database

Scalegrid

ScyllaDB offers significantly lower latency which allows you to process a high volume of data with minimal delay. In fact, according to ScyllaDB’s performance benchmark report, their 99.9 percentile latency is up to 11X better than Cassandra on AWS EC2 bare metal. Amazon AWS Azure Benchmarks Cassandra Cloud Database Google Cloud On-Premise ScyllaDB Trend Report #1.

Big Data 130
article thumbnail

Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook

The Morning Paper

Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook , Cao et al., Or in the case of key-value stores, what you benchmark. FAST’20. You get good at what you practice.

article thumbnail

Evaluating the Evaluation: A Benchmarking Checklist

Brendan Gregg

These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Accurate benchmarking rewards engineering investment that actually improves performance, but, unfortunately, inaccurate benchmarking is more common. I have spent much of my career refuting bad benchmarks, and have developed such a knack for it that prior employers would not publish benchmarks unless they were approved by me. These kinds of benchmarks are misleading.

article thumbnail

Single threaded DB performance on Nutanix HCI

n0derunner

SQL Server Workloads & Benchmarks aws diskspd fio latency rds sqlserver windowstl;dr A Nutanix cluster can persist a replicated write across two nodes in around 250 uSec which is critical for single-threaded DB write workloads.

Metrics 52
article thumbnail

Single threaded DB performance on Nutanix HCI

n0derunner

SQL Server Workloads & Benchmarks aws diskspd fio latency rds sqlserver windowstl;dr A Nutanix cluster can persist a replicated write across two nodes in around 250 uSec which is critical for single-threaded DB write workloads.

Metrics 52
article thumbnail

How to maximize CPU performance for PostgreSQL 12.0 benchmarks on Linux

HammerDB

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 . ” Usually when benchmark results are surprising it is a major hint that something could be misconfigured and that certainly seems the case here, so what could it be?

article thumbnail

How to Improve MySQL AWS Performance 2X Over Amazon RDS at The Same Cost

High Scalability

As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure. AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments.

AWS 132
article thumbnail

Evaluating the Evaluation: A Benchmarking Checklist

Brendan Gregg

These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Accurate benchmarking rewards engineering investment that actually improves performance, but, unfortunately, inaccurate benchmarking is more common. I have spent much of my career refuting bad benchmarks, and have developed such a knack for it that prior employers would not publish benchmarks unless they were approved by me. These kinds of benchmarks are misleading.

article thumbnail

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! The top line shows the change in tail latency across a set of monolithic applications as operating frequency decreases.

article thumbnail

The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

To show that I can criticize my own work as well, here I show that sustained memory bandwidth (using an approximation to the STREAM Benchmark ) is also inadequate as a single figure of metric. (It Computer Architecture Performance memory bandwidth memory latency STREAM benchmark

Energy 59
article thumbnail

PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

Scalegrid

So, we pitted the two connection poolers head-to-head, using the standard pgbench tool, to see which one provides better transactions per second throughput through a benchmark test. Throughput Benchmark.

article thumbnail

How to improve Redo, Transaction Log and WAL throughput for HammerDB benchmarks

HammerDB

This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . Additionally for the log disk component it is latency for an individual write that is crucial rather than the total I/O bandwidth.

article thumbnail

Invited Talk at SuperComputing 2016!

John McCalpin

Computer Architecture Computer Hardware Performance cache DRAM high performance computing memory bandwidth memory latency STREAM benchmark“Memory Bandwidth and System Balance in HPC Systems” If you are planning to attend the SuperComputing 2016 conference in Salt Lake City next month, be sure to reserve a spot on your calendar for my talk on Wednesday afternoon (4:15pm-5:00pm).

Systems 40
article thumbnail

Best Practice for Creating Indexes on your MySQL Tables

High Scalability

AWS Add Index Azure Create Index Database DevOps EC2 Latency Master-Slave MySQL MySQL Index MySQL Performance MySQL Table Performance Performance Test SELECT Queries administration benchmark benchmarks best platform cloud data management database database replication database scalability deployment ec2 high availability hosting indexing master-slave mysql mysql cluster mysql load nodes optimization scalabitliy sql testing uptime

article thumbnail

Implementing service-level objectives to improve software quality

Dynatrace

Instead, they can ensure that services comport with the pre-established benchmarks. This process includes benchmarking realistic SLO targets based on statistical and probabilistic analysis from Dynatrace. Latency. Latency is the time that it takes a request to be served.

Software 257
article thumbnail

HCI Performance testing made easy (Part 3)

n0derunner

Creating a HCI benchmark to simulate multi-tennent workloads. In such a case we have a Bandwidth heavy workload profile (reporting) sharing with a Latency Sensitive workload (transactional). The DB Colocation test utilizes two properties of X-Ray not found in other benchmarking tools. Time based benchmark actions. The key thing to observe is the impact on the latency sensitive (OLTP) workload.

article thumbnail

5.5 mm in 1.25 nanoseconds

Randon ASCII

Back in the day I wrote a lot of benchmarks in order to look for places where the actual performance of the CPU didn’t match what we expected. I wrote a lot of benchmarks. One benchmark I wrote measured the L2 cache latency.

Cache 126
article thumbnail

The Performance Inequality Gap, 2021

Alex Russell

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. Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge.

article thumbnail

Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

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.

Latency 52
article thumbnail

RPC vs. Messaging – which is faster?

Particular Software

Some will claim that any type of RPC communication ends up being faster (meaning it has lower latency) than any equivalent invocation using asynchronous messaging. There are more steps, so the increased latency is easily explained. Sometimes developers only care about speed.

article thumbnail

How BizDevOps can “shift left” using SLOs to automate quality gates

Dynatrace

Quality gates are benchmarks in the software delivery lifecycle that define specific, measurable, and achievable success criteria a service must meet before moving to the next phase of the software delivery pipeline. For example, improving latency by as little as 0.1 Dynatrace news.

article thumbnail

WAL Compression in PostgreSQL and Recent Improvements in Version 15

Percona

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.

article thumbnail

Edgar: Solving Mysteries Faster with Observability

The Netflix TechBlog

Telltale provides Edgar with latency benchmarks that indicate if the individual trace’s latency is abnormal for this given service. Telltale’s anomaly analysis looks at historic behavior and can evaluate whether the latency experienced by this trace is anomalous.

article thumbnail

The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. I love short benchmarks like this as I can disassemble the resulting binary and ensure that the compiled instructions match my expectations, and the compiler hasen't messed with it. ## 6.

Speed 127
article thumbnail

Virtual consensus in Delos

The Morning Paper

The initial version of Delos went into production after eight months using a ZooKeeper-backed Loglet implementation, and then four months later it was swapped out for a new custom-built NativeLoglet that gave a 10x improvement in end-to-end latency.

article thumbnail

Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

In some cases, you will lack benchmarking capabilities. connectivity, access, user count, latency) of geographic regions. Dynatrace news. In today’s competitive business environment, customers demand seamless user experiences.

article thumbnail

Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. by Maulik Pandey Our Team?—?

article thumbnail

Netflix at AWS re:Invent 2019

The Netflix TechBlog

In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. 1pm-2pm NFX 207 Benchmarking stateful services in the cloud Vinay Chella , Data Platform Engineering Manager Abstract : AWS cloud services make it possible to achieve millions of operations per second in a scalable fashion across multiple regions. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 100
article thumbnail

Netflix at AWS re:Invent 2019

The Netflix TechBlog

In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. 1pm-2pm NFX 207 Benchmarking stateful services in the cloud Vinay Chella , Data Platform Engineering Manager Abstract : AWS cloud services make it possible to achieve millions of operations per second in a scalable fashion across multiple regions. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 100
article thumbnail

HammerDB v4.0 New Features Pt1: TPROC-C & TPROC-H

HammerDB

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. In the days before highly performant SSDs and persistent memory, database benchmarks had a significant challenge in comparing performance due to the available I/O performance. more transactions than system B in the fully audited benchmark then the HammerDB result was also 1.5X

C++ 40
article thumbnail

A Management Maturity Model for Performance

Alex Russell

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+).

Latency 87
article thumbnail

Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

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. in the TPC-H Benchmark Standard for details of the queries). It is advantageous in the cloud to shut down compute resources when they are not being used, but there is then a query latency cost. Choosing a cloud DBMS: architectures and tradeoffs Tan et al., VLDB’19.