HammerDB

OCTOBER 23, 2023

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. However, there can be a lack of understanding of the benefits that stored procedures bring or if you have a benchmarking tool or database that doesn’t support stored procedures, then you have nothing to compare against.

Benchmarking 62

Benchmarking Database Network C++ 62

The Morning Paper

MARCH 3, 2020

Millions of tiny databases , Brooker et al., It takes you through the thinking processes and engineering practices behind the design of a key part of the control plane for AWS Elastic Block Storage (EBS): the Physalia database that stores configuration information. Larger cells have better tolerance of tail latency (e.g.

Database 106

Database AWS Network Design 106

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.

AWS 52

AWS Database Serverless Storage 52

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. When a new hardware device is connected, the Local Registry detects and collects a set of information about it, such as networking information and ESN.

Latency 213

Latency Traffic Transportation Hardware 213

Percona

MAY 1, 2023

Default settings can help you get started quickly – but they can also cost you performance and a higher cloud bill at the end of the month. The innodb_io_capacity_max parameter was set to 2000, so the hardware should be able to deliver that many IOPS without major issues. Want to save money on your AWS RDS bill?

AWS 117

AWS Hardware Storage Tuning 117

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Amazon DynamoDB offers low, predictable latencies at any scale. Comments ().

Scalability 167

Scalability Database Ecommerce Latency 167

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Triggers.

Database 167

Database Lambda AWS IoT 167

Dotcom-Montior

MAY 12, 2020

Network latency. Database connectivity. Hardware resources. Network Latency. With the evolution of cloud technologies, such as Single Page Applications (SPAs), Web APIs, and Model View Controller (MVC), network latency has become a crucial factor to be monitored. Network latency can be affected due to.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

All Things Distributed

APRIL 4, 2017

This enables customers to serve content to their end users with low latency, giving them the best application experience. In 2011, AWS opened a Point of Presence (PoP) in Stockholm to enable customers to serve content to their end users with low latency. As well as AWS Regions, we also have 24 AWS Edge Network Locations in Europe.

AWS 117

AWS Airlines Latency Games 117

Dotcom-Montior

NOVEMBER 24, 2021

Do you have a database? Was the database running? The last item to check was if the web server was able to talk to the database? The last item to check was if the web server was able to talk to the database? Software and hardware components are autonomous and execute tasks concurrently. Do you have a web server?

Systems 74

Systems Monitoring Hardware Network 74

The Morning Paper

JANUARY 28, 2020

In databases you probably know it as stored procedures. Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " Cloud providers count on this to ease provisioning and fault-tolerance. Shredder in action.

Serverless 99

Serverless Storage Latency Cloud 99

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

All Things Distributed

JULY 13, 2010

Expanding the Cloud - Cluster Compute Instances for Amazon EC2. Today, Amazon Web Services took very an important step in unlocking the advantages of cloud computing for a very important application area. Unlocking the benefits of the cloud for the HPC community. By Werner Vogels on 12 July 2010 05:00 PM. Comments ().

Cloud 119

Cloud AWS Automotive Latency 119

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. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI.

Speed 126

Speed Java AWS Virtualization 126

Dynatrace

AUGUST 5, 2019

Across the board, the topics cloud migration, application modernization, breaking the monolith or hybrid cloud re-platforming have been a center point in many of our discussions with our joint enterprise customers. Database & functional migration. It covers these key areas: Technology & Dependency Analysis.

Cloud 31

Cloud Traffic Database Network 31

All Things Distributed

NOVEMBER 15, 2010

Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances. For example, the most fundamental abstraction trade-off has always been latency versus throughput. The throughput of this pipeline is more important than the latency of the individual operations. All Things Distributed. Comments ().

AWS 136

AWS Latency Programming Architecture 136

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. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI.

Speed 52

Speed Java AWS Virtualization 52

Abhishek Tiwari

DECEMBER 27, 2017

ETL is a product of the relational database era and it has not evolved much in last decade. With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. Apache Arrow's in-memory columnar layout is specifically optimized for data locality for better performance on modern hardware like CPUs and GPUs.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

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. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI.

Speed 40

Speed Java AWS Virtualization 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.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. Try to measure your mean time to respond (MTTR) for incidents.

Latency 52

Latency Engineering Systems Hardware 52

Alex Russell

MARCH 6, 2021

A silver lining on this dark cloud is that mobile JavaScript payload growth paused in 2020. Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version. Mind The Gap.

Performance 124

Performance Network Cache Metrics 124

O'Reilly Software

APRIL 4, 2018

Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. We usually relate SQL to querying tables in relational databases. Apache Kafka is currently the leading project in this area.

Architecture 80

Architecture Scalability Google Operating System 80

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. Try to measure your mean time to respond (MTTR) for incidents.

Latency 53

Latency Engineering Systems Hardware 53

The Morning Paper

SEPTEMBER 12, 2019

Declarative recursive computation on an RDBMS… or, why you should use a database for distributed machine learing Jankov et al., Machine learning inside a relational database has been done before, most notably in the form of MADlib , which was integrated into Greenplum during my time at Pivotal. VLDB’19.

Network 44

Network Database Programming Hardware 44

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

Smashing Magazine

JANUARY 7, 2019

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. 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). A good starting point is to choose a good default stack for your application.

Performance 103

Performance Cache Metrics Network 103