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. One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload.

Azure 72

Azure Virtualization Servers Storage 72

n0derunner

JUNE 28, 2019

The Linux VM running postgres has two virtual disks – one taking transaction log writes. Since the DB is small (50% the size of the Linux RAM) – the database is mostly cached on the read side – so we only see writes going to the DB files. In this example from prior post.

Benchmarking 75

Benchmarking Storage Cache Database 75

The Netflix TechBlog

SEPTEMBER 10, 2024

The first was voice control, where you can play a title or search using your virtual assistant with a voice command like “Show me Stranger Things on Netflix.” (See KeyValue is an abstraction over the storage engine itself, which allows us to choose the best storage engine that meets our SLO needs.

Latency 230

Latency Cache Tuning Efficiency 230

Percona

APRIL 7, 2023

But since retrieving data from disk is slow, databases tend to work with a caching mechanism to keep as much hot data, the bits and pieces that are most often accessed, in memory. In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 145

Tuning Cache Servers Benchmarking 145

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Virtual Memory utilization was averaging 48 GB of RAM. VictoriaMetrics maintains an in-memory cache for mapping active time series into internal series IDs. Capacity planning and setup details We used a dedicated 32-core CPU and 64GB of RAM for our testing.

Monitoring 117

Monitoring Scalability Database Cache 117

Brendan Gregg

FEBRUARY 28, 2023

Titus, the Netflix container management platform, is now open source,” [link] Apr 2018 - [Cutress 19] Dr. DDR6: Here's What to Expect in RAM Modules,” [link] Nov 2020 - [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] Jul 2020 - [Spier 20] Martin Spier, Brendan Gregg, et al.,

Performance 103

Performance Latency Cache Virtualization 103

SQL Performance

NOVEMBER 18, 2019

Migrating an on-premises SQL Server instance to an Azure Virtual Machine (VM) is a common method to migrate to Azure. IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. Microsoft has helped simplify things by creating multiple types of virtual machines. Generation.

Azure 76

Azure Benchmarking Storage Virtualization 76

SQL Performance

APRIL 8, 2019

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. The L3 cache size is 64MB. The L3 cache size is 64MB. The key specifications for the Lsv2 series virtual machines are shown in Table 1. lanes for I/O connectivity.

Azure 42

Azure Virtualization Storage Benchmarking 42

All Things Distributed

JANUARY 18, 2012

In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform. s pricing is simple and predictable: Storage is $1 per GB per month. The growth of Amazonâ??s Domain scaling limitations. Amazon DynamoDBâ??s

Scalability 162

Scalability Database Ecommerce Latency 162

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

Cache 40

Cache Servers Network Design 40

Percona

DECEMBER 23, 2022

I wrote this post on MyRocks because I believe it is the most interesting new MySQL storage engine to have appeared over the last few years. The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes.

Storage 56

Storage Cache C++ Virtualization 56

All Things Distributed

OCTOBER 2, 2017

VPC Endpoints give you the ability to control whether network traffic between your application and DynamoDB traverses the public Internet or stays within your virtual private cloud. Secure – DynamoDB provides fine-grained access control at the table, item, and attribute level, integrated with AWS Identity and Access Management.

Internet 110

Internet Internet AWS Performance 110

ACM Sigarch

NOVEMBER 1, 2019

Alongside more traditional sessions such as Real-World Deployed Systems and Big Data Programming Frameworks, there were many papers focusing on emerging hardware architectures, including embedded multi-accelerator SoCs, in-network and in-storage computing, FPGAs, GPUs, and low-power devices. Heterogeneous ISA. Programmable I/O Devices.

Architecture 12

Architecture Hardware Cache Storage 12

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. 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.

Performance 55

Performance Benchmarking Cache Storage 55

HammerDB

JUNE 27, 2022

An important concept was to simulate database users called Virtual Users in parallel (rather than concurrently) to accurately simulate a real database workload with multiple users running from separate systems. Cached vs Scaled Workloads. The workload also outputted the data from the Virtual Users by simulating individual terminals.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

Percona

JUNE 22, 2023

High availability works through a combination of the following: No single point of failure (SPOF) : You must eliminate any single point of failure in the database environment, including physical or virtual hardware the database system relies on that would cause it to fail. Each node has its own cache buffer.)

Availability 132

Availability Database Open Source Hardware 132

Smashing Magazine

SEPTEMBER 20, 2021

Search Engine And Web Archive Cached Results. Another common category of imposter domains are domains used by search engines for delivering cached results or archived versions of page views. The message that appears above a cached search result in Google’s search service. Large preview ). Large preview ).

Website 108

Website Analytics Google Cache 108

SQL Performance

APRIL 27, 2020

The basic tier provides up to 5 DTUs with standard storage. The standard tier supports from 10 up to 3000 DTUs with standard storage and the premium tier supports 125 up to 4000 DTUs with premium storage, which is orders of magnitude faster than standard storage. vCore Pricing Tier. GB per vCore. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

The Morning Paper

DECEMBER 8, 2019

The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc. Traditional pointers address a memory location (often virtual of course). in front of that memory , as we saw last week). At least, the nature of pointers that we want to make persistent.

Hardware 56

Hardware Programming Media Storage 56

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. The Challenges with Parallel Queries.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. The Challenges with Parallel Queries.

Analytics 52

Analytics Airlines Cache Scalability 52

Brendan Gregg

FEBRUARY 28, 2023

Titus, the Netflix container management platform, is now open source,” [link] , Apr 2018 [Cutress 19] Dr. DDR6: Here's What to Expect in RAM Modules,” [link] , Nov 2020 [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] , Jul 2020 [Spier 20] Martin Spier, Brendan Gregg, et al.,

Performance 52

Performance Latency Cache Virtualization 52

The Morning Paper

APRIL 9, 2019

Does your web application make use of local storage? If so, then like many developers you may well be making the assumption that when you read from local storage, it will only contain the data that you put there. There are two basic requirements for a storage-based XSS attack. As Steffens et al. no sanitisation) at a sink.

Storage 44

Storage Cache Network Transportation 44

IO River

NOVEMBER 2, 2023

Capacity CommitmentCommitting to a certain capacity for CDNs saves money by giving you a discounted rate on CDN bandwidth and storage. Split and Separate Static and Dynamic TrafficStatic traffic is traffic that is cached close to the user and stored and served to them by the nearest server.

Infrastructure 52

Infrastructure Traffic Cache Strategy 52

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Now in development in WebKit after years of radio silence, WebXR APIs provide Augmented Reality and Virtual Reality input and scene information to web applications. An extension to Service Workers that enables browsers to present users with cached content when offline.

Media 145

Media Games Education Engineering 145

ScaleOut Software

AUGUST 19, 2014

As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. Like the applications they serve, IMDGs are deployed as a cluster of cloud-hosted virtual servers that scales as the workload demands.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. Like the applications they serve, IMDGs are deployed as a cluster of cloud-hosted virtual servers that scales as the workload demands.

Cloud 40

Cloud Azure Virtualization Scalability 40

Percona

APRIL 17, 2023

Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100. Make sure the drives are mounted with noatime and also if the drives are behind a RAID controller with appropriate battery-backed cache.

Best Practices 52

Best Practices Design Tuning Database 52

IO River

NOVEMBER 2, 2023

Capacity CommitmentCommitting to a certain capacity for CDNs saves money by giving you a discounted rate on CDN bandwidth and storage. Split and Separate Static and Dynamic TrafficStatic traffic is traffic that is cached close to the user and stored and served to them by the nearest server.

Infrastructure 40

Infrastructure Traffic Cache Strategy 40

HammerDB

NOVEMBER 5, 2018

The following example takes a snapshot of Oracle metrics showing 3 spikes of activity on a consumer level PC running Oracle within a Virtual Box VM for illustration purposes.The database has been created with the default redo log configuration which is 2 redo logs of 200MB in size each. so what are your options? Checkpoint not complete.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well.

Servers 40

Servers Cache Media Hardware 40

Abhishek Tiwari

SEPTEMBER 10, 2017

Using kubectl you can interact with namespaces.Namespaces are virtual clusters and typically used to isolate projects deployed on Kubernetes cluster. Under the hood, it is using InfluxDB as the storage backend for metric data and Grafana as visualization UI. kubectl get namespace kubectl create namespace dev. Our app.py

Development 49

Development Operating System Virtualization Code 49

The Morning Paper

APRIL 2, 2019

The honest one-time evaluation of by a Horner-rule program is uniquely space-time optimal whenever the cWRAM execution time and memory are simultaneously minimized; i.e., no other programs can use fewer than both storage words and time units. Proof in appendix B of the accompanying technical report). of the paper have the desired property.

Software 40

Software Software Programming Hardware 40

IO River

NOVEMBER 2, 2023

Consider an example where a company is running multiple virtual machines (VMs) on a cloud provider. Whether you're scaling storage solutions like S3 buckets, compute resources like EKS clusters, or content delivery mechanisms via CDNs, Terraform offers a streamlined approach. Migrating isn't as simple as 'copy-paste'.‍Even

Open Source 52

Open Source DevOps AWS Infrastructure 52

SQL Server According to Bob

DECEMBER 31, 2018

Using SQL Server Management Studio (SSMS) and storing the events in a table requires reading the events, streaming to table storage followed by an order by event sequence query. protected virtual void Dispose(bool bDisposing) { if (true == bDisposing) { m_MatchingTree.Dispose(); m_MatchingTree = null; if (null != Start(); }.

Efficiency 40

Efficiency Code Servers Cache 40

IO River

NOVEMBER 2, 2023

Terraform's declarative nature makes this adaptation straightforward.‍Consider an example where a company is running multiple virtual machines (VMs) on a cloud provider. As businesses grow and demand fluctuates, infrastructure needs to adapt. Transitioning between CDN providers or even changing CDN configurations can be tricky.

Open Source 40

Open Source DevOps AWS Infrastructure 40

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Neal, Matt, and others from Windows Storage, Windows Azure Storage, Windows Hyper-V, … validating Windows behaviors. · Any storage device that can survive a power outage. Starting with the Linux 4.18

Servers 90

Servers Media Cache Storage 90