Scalegrid

NOVEMBER 25, 2019

ScyllaDB is an open-source distributed NoSQL data store, reimplemented from the popular Apache Cassandra database. We’ve heard a lot about this rising database from the DBA community and our users, and decided to become a sponsor for this years Scylla Summit to learn more about the deployment trends from its users.

Big Data 187

Big Data Database Open Source Azure 187

Scalegrid

MARCH 28, 2024

can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses. Benchmarking Cache Speed Memcached is optimized for high read and write loads, making it highly efficient for rapid data access in a basic key-value store. Data transfer technology.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

OCTOBER 24, 2019

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. ScaleGrid offers a compelling alternative to hosting MySQL on AWS that offers better performance, more control, and no cloud vendor lock-in and the same price as Amazon RDS. MySQL Performance Benchmark Configuration.

AWS 183

AWS Latency Performance Benchmarking 183

Percona

DECEMBER 11, 2023

Here, we will discuss a notable new feature in Amazon RDS, the Dedicated Log Volume (DLV), that has been introduced to boost database performance. A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables.

AWS 93

AWS Benchmarking Performance Traffic 93

The Morning Paper

SEPTEMBER 3, 2019

SLOG: serializable, low-latency, geo-replicated transactions Ren et al., That’s where SLOG (Serializable LOw-latency, Geo-replicated transactions) comes in. Current state-of-the-art geo-replicated systems force their users to give up one of: (1) strict serializability, (2) low-latency writes, (3) high transactional throughput.

Latency 70

Latency Processing Benchmarking Systems 70

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

High Scalability

OCTOBER 29, 2019

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. ScaleGrid offers a compelling alternative to hosting MySQL on AWS that offers better performance, more control, and no cloud vendor lock-in and the same price as Amazon RDS.

AWS 133

AWS Latency Performance Open Source 133

The Morning Paper

AUGUST 29, 2019

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., If you’re moving an OLAP workload to the cloud (AWS in the context of this paper), what DBMS setup should you go with? 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.

Architecture 76

Architecture Cloud Storage Serverless 76

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Benchmark before you decide.

Performance 123

Performance Hardware Tuning Storage 123

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. We ended up setting it in the BaseAMI for all cloud services. A quick check of basic performance statistics showed over 30% higher CPU consumption.

Speed 126

Speed Java AWS Virtualization 126

The Netflix TechBlog

OCTOBER 19, 2020

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. Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer is an online system that observes the behaviour of cloud applications (using the DeathStarBench microservices for the evaluation) and predicts when QoS violations may be about to occur. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

n0derunner

SEPTEMBER 17, 2018

Creating a HCI benchmark to simulate multi-tennent workloads. It is very common to have large resource-hungry databases separated across nodes using anti-affinity rules. In such a case we have a Bandwidth heavy workload profile (reporting) sharing with a Latency Sensitive workload (transactional). Time based benchmark actions.

Performance Testing 40

Performance Testing Benchmarking Testing Performance 40

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. This was both expensive and time consuming to configure. I.e. if system A generated 1.5X

C++ 40

C++ Benchmarking Virtualization Open Source 40

Percona

MARCH 20, 2023

In short, each cluster is, in reality, a single database with high availability and other functionalities built in. Let us take a look also the latency: Here the situation starts to be a little bit more complicated. MySQL Router is the one that has the higher latency no matter what. Anyhow, we are here to talk about Proxies.

Games 118

Games Latency Traffic Cache 118

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. We ended up setting it in the BaseAMI for all cloud services. A quick check of basic performance statistics showed over 30% higher CPU consumption.

Speed 52

Speed Java AWS Virtualization 52

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. We ended up setting it in the BaseAMI for all cloud services. A quick check of basic performance statistics showed over 30% higher CPU consumption.

Speed 40

Speed Java AWS Virtualization 40

All Things Distributed

NOVEMBER 19, 2010

Here are some the links I shared this week on twitter and facebook : Cloud Computing. There were blog posts by Jeff Barr The Cluster GPU Instance and James Hamilton HPC in the Cloud with GPGPUs , as well as my background posting: Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances.

AWS 68

AWS Cloud Benchmarking Storage 68

Alex Russell

MARCH 6, 2021

A silver lining on this dark cloud is that mobile JavaScript payload growth paused in 2020. 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. Today, either method returns a similar answer. There's no durable substitute for compassion.

Performance 124

Performance Network Cache Metrics 124

n0derunner

MAY 27, 2022

The performance compares very well with hosted cloud database instances using the same class of processor (db.r5.4xlarge in the figure below). tl;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.

Performance 52

Performance Metrics Database Cloud 52

Smashing Magazine

JANUARY 6, 2020

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Designed for the modern web, it responds to actual congestion, rather than packet loss like TCP does, it is significantly faster , with higher throughput and lower latency — and the algorithm works differently.

Performance 145

Performance Cache Network Metrics 145

High Scalability

DECEMBER 3, 2019

By having appropriate indexes on your MySQL tables, you can greatly enhance the performance of SELECT queries. But, did you know that adding indexes to your tables in itself is an expensive operation, and may take a long time to complete depending on the size of your tables?

Best Practices 21

Best Practices Performance Systems Processing 21