Scalegrid

FEBRUARY 8, 2024

Nevertheless, strategies like using content delivery networks (CDNs), implementing effective caching mechanisms for data retrieval efficiency, refining network traffic routing methods, and incorporating compression technologies can help overcome these obstacles.

Storage 130

Storage Systems Big Data Azure 130

The Morning Paper

MARCH 8, 2020

This paper describes the design decisions behind the Snowflake cloud-based data warehouse. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) From shared-nothing to disaggregation. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

Percona

DECEMBER 23, 2022

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. I decided to use a virtual machine with two CPU cores, four GB of memory, and storage limited to a maximum of 1000 IOPs of 16KB. InnoDB and MyRocks dataset sizes.

Storage 55

Storage Cache C++ Virtualization 55

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Log Agent Installation – Collects logs from the virtual machines. Hybrid and multi-cloud platform –.

Azure 134

Azure Artificial Intelligence Metrics Innovation 134

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 62

Benchmarking Open Source C++ Cache 62

Brendan Gregg

MARCH 16, 2024

Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway. It shouldn't be 10%, unless it's cache effects. I spent years as a cloud customer where I couldn't access many HW-level things.)

Java 145

Java Cache Google Hardware 145

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. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error.

Performance 54

Performance Benchmarking Cache Storage 54

ACM Sigarch

MAY 31, 2023

There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. Berger (Microsoft) shared the state of memory systems in the public cloud and projected two use cases of CXL-based disaggregated memories in the cloud ( IEEE Micro and ASPLOS’23 ).

Latency 52

Latency Hardware Cache Architecture 52

Scalegrid

OCTOBER 2, 2019

This Redis management solution allows startups up to enterprise-level organizations automate their Redis operations on Microsoft Azure dedicated cloud servers, alongside their other open source database deployments, including MongoDB , MySQL and PostgreSQL. Redis Cloud Gets Easier with Fully Managed Hosting on Microsoft Azure Click To Tweet.

Azure 37

Azure Cloud Open Source Virtualization 37

Brendan Gregg

FEBRUARY 28, 2023

TCP Extensions for Multipath Operation with Multiple Addresses,” [link] , Mar 2020 [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0 Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Dynatrace

APRIL 8, 2019

As adoption rates for Azure continue to skyrocket, Dynatrace is developing a deeper integration with the Azure platform to provide even more value to organizations that run their businesses on Microsoft Azure or have Microsoft as a part of their multi-cloud strategy. Virtual machines. Virtual machine scale sets. Redis Cache.

Azure 103

Azure Monitoring Serverless Virtualization 103

Percona

SEPTEMBER 1, 2023

Exploring How Triggers Impact MySQL Memory Allocation MySQL stores active table descriptors in a special memory buffer called the table open cache. These table cache instances could be accessed concurrently, allowing DML to use cached table descriptors without locking each other.

Cache 60

Cache Database Games Healthcare 60

High Scalability

OCTOBER 3, 2019

This Redis management solution allows startups up to enterprise-level organizations automate their Redis operations on Microsoft Azure dedicated cloud servers, alongside their other open source database deployments, including MongoDB , MySQL and PostgreSQL.

Azure 23

Azure Cloud Open Source Cache 23

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. 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. Deploying an IMDG in the Cloud. IMDGs Help Scale Applications.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. 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. Deploying an IMDG in the Cloud. IMDGs Help Scale Applications.

Cloud 40

Cloud Azure Virtualization Scalability 40

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. It is worth pointing out that cloud processing is always subject to variable network conditions.

Cloud 237

Cloud Media Storage Cache 237

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started As businesses grow and demand fluctuates, infrastructure needs to adapt.

Open Source 52

Open Source DevOps AWS Infrastructure 52

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. Without enough infrastructure (physical or virtualized servers, networking, etc.), there cannot be high availability. Networking equipment (switches, routers, etc.)

Availability 104

Availability Database Open Source Hardware 104

IO River

NOVEMBER 2, 2023

Unlike CloudFormation, which was confined to AWS resources, Terraform was designed with a multi-cloud approach in mind. This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A

Open Source 40

Open Source DevOps AWS Infrastructure 40

Smashing Magazine

JANUARY 11, 2021

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. This improves page load time and caching during navigations.

Performance 145

Performance Cache Media Metrics 145

Brendan Gregg

FEBRUARY 9, 2018

Cloud provider hypervisor changes (for cloud guests) 1. This overhead can be reduced by A) pcid, fully available in Linux 4.14, and B) Huge pages. - **Cache access pattern**: the overheads are exacerbated by certain access patterns that switch from caching well to caching a little less well. They are: 1.

Performance 75

Performance Benchmarking Cache Tuning 75

The Morning Paper

APRIL 14, 2019

Microarchitectural state of interest includes data and instruction caches, TLBs, branch predictors, instruction- and data-prefetcher state machines, and DRAM row buffers. “ Preventing side-channel attacks between VMs hosted on public cloud infrastructure. So these on-core caches must be flushed on a domain switch.

Hardware 44

Hardware Cache Latency Speed 44

KeyCDN

JANUARY 23, 2020

This helps developers decide when to increase server disk space and power or whether or not using a virtual cloud server is optimal. Teams can measure the performance of all application dependencies, including databases, web services, caching, and more. Usage performance. Custom metrics.

Strategy 72

Strategy Metrics Monitoring Servers 72

ACM Sigarch

FEBRUARY 23, 2018

Virtualization, for instance, was being addressed by IBM in the 1960s. Both virtualization and power burst onto the architecture community seemingly out of nowhere even though there was a clear historical basis and trend for both. The same myopic view clouds us as researchers.

Architecture 47

Architecture Cache Hardware Virtualization 47

The Netflix TechBlog

NOVEMBER 9, 2022

While we understand it’s virtually impossible to achieve a linear increase in throughput as the number of vCPUs grow, a near-linear increase is attainable. We also see much higher L1 cache activity combined with 4x higher count of MACHINE_CLEARS. Cache line is a concept similar to memory page?—? Thread 0’s cache in this example.

Hardware 363

Hardware Cache Performance Latency 363

Percona

MAY 15, 2023

In both cases, when using virtually-synchronous replication, the process will require certification from each node and local (by node) write; as such, the number of writes is NOT distributed across multiple nodes but duplicated. Because the solutions still rely on writing in one single node that works as Primary.

Traffic 122

Traffic Scalability Database Servers 122

Brendan Gregg

JANUARY 17, 2018

OSes usually show you virtual memory and resident memory, shown as the "VIRT" and "RES" columns in top. Short durations can be useful for understanding how well a WSS will fit into the CPU caches (L1/L2/L3, TLB L1/L2, etc). That's the working set size. It is used for capacity planning and scalability analysis. 16.570 403.66 32.980 403.66

Cache 71

Cache Latency C++ Programming 71

Brendan Gregg

FEBRUARY 8, 2018

Cloud provider hypervisor changes (for cloud guests) 1. This overhead can be reduced by A) pcid, fully available in Linux 4.14, and B) Huge pages. - **Cache access pattern**: the overheads are exacerbated by certain access patterns that switch from caching well to caching a little less well. They are: 1.

Performance 40

Performance Benchmarking Cache Tuning 40

KeyCDN

MARCH 28, 2019

Features Very flexible More lightweight than Django, great for smaller projects Great documentation Offers the ability to built prototypes quickly Phoenix Phoenix is a backend framework which works with Erlang’s Virtual Machine and is written in Elixir.

Programming 77

Programming Website Scalability Design 77

All Things Distributed

SEPTEMBER 3, 2013

Today, we added two important choices for customers running high performance apps in the cloud: support for Redis in Amazon ElastiCache and a new high memory database instance (db.cr1.8xlarge) for Amazon RDS.

Cache 129

Cache Cloud Performance Retail 129

Enprowess

MARCH 10, 2022

React’s performance has dramatically improved after introducing the virtual DOM in the framework. Meanwhile, all virtual DOM trees are lightweight and designed on a server, reducing the load on the browser. It depends on you how skillfully you utilize the combination of JSON and client-side caching to boost the server-side performance.

Development 52

Development Google Open Source Servers 52

Brendan Gregg

JANUARY 16, 2018

OSes usually show you virtual memory and resident memory, shown as the "VIRT" and "RES" columns in top. Short durations can be useful for understanding how well a WSS will fit into the CPU caches (L1/L2/L3, TLB L1/L2, etc). That's the working set size. It is used for capacity planning and scalability analysis. 16.570 403.66 32.980 403.66

Cache 40

Cache Latency C++ Programming 40

Abhishek Tiwari

SEPTEMBER 10, 2017

On Mac, you can install Kubectl using one of the following methods, Using the Google Cloud SDK: gcloud components install kubectl. Using kubectl you can interact with namespaces.Namespaces are virtual clusters and typically used to isolate projects deployed on Kubernetes cluster. Minikube) as well as remote clusters. Our app.py

Development 49

Development Operating System Virtualization Code 49

ACM Sigarch

NOVEMBER 1, 2019

GAIA proposed to expand the OS page cache into accelerator memory. The OS page cache serves as a cache for file accesses and plays an important role in core OS services, such as memory-mapped files. Another paper, called E3 , made an observation that ARM-based SmartNICs are capable enough to run cloud micro-services.

Architecture 12

Architecture Hardware Cache Storage 12

All Things Distributed

OCTOBER 2, 2017

" Of course, no technology change happens in isolation, and at the same time NoSQL was evolving, so was cloud computing. The requirements for a fully hosted cloud database service needed to be at an even higher bar than what we had set for our Amazon internal system.

Internet 128

Internet Internet AWS Performance 128

All Things Distributed

JANUARY 18, 2012

DynamoDB is the result of 15 years of learning in the areas of large scale non-relational databases and cloud services. With Amazon DynamoDB, developers scaling cloud-based applications can start small with just the capacity they need and then increase the request capacity of a given table as their app grows in popularity.

Scalability 167

Scalability Database Ecommerce Latency 167