Scalegrid

JANUARY 5, 2024

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms.

Efficiency 147

Efficiency Storage Database Scalability 147

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 140

Performance Latency Hardware Storage 140

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Queued messages are typically small and specific.

Monitoring 202

Monitoring Serverless Programming Speed 202

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Queued messages are typically small and specific.

Monitoring 201

Monitoring Serverless Programming Speed 201

KeyCDN

FEBRUARY 22, 2023

The goal of WebAssembly is to execute at native speeds by taking advantage of common hardware features available on a variety of platforms. With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 85

Database Hardware Open Source Strategy 85

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 111

Virtualization AWS Hardware Storage 111

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. New Hardware Configuration for Provisioned Compute Tier.

Azure 55

Azure Database Serverless Hardware 55

Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 110

Performance Latency Cache Virtualization 110

Percona

JUNE 22, 2023

Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution. They include backup success rate, backup duration, recovery time objective (RTO), recovery point objective (RPO), and backup storage utilization.

Performance 102

Performance Monitoring Traffic Database 102

Percona

SEPTEMBER 1, 2023

Vertical scaling is also often discussed, which involves increasing the resources of a single server, which can have limitations in hardware capabilities and become costly as demands grow. Depending on the database size and on disk speed, a backup/restore process might take hours or even days!

Best Practices 70

Best Practices Traffic Database Servers 70

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 52

Performance Latency Hardware Storage 52

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. There are also large differences in storage capacity and throughput between these extremes.

Azure 72

Azure Virtualization Servers Storage 72

Scalegrid

JANUARY 25, 2024

Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation. Throughput Ensuring optimal performance and efficient handling of many queries is crucial for Redis, as it offers exceptional speed and minimal delay. It could also indicate a potential issue, say, an expensive query.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Although cold storage and rehydration can mitigate high costs, it is inefficient and creates blind spots. Unlike tools that rely on correlation and aggregation, the Dynatrace AIOps platform approach enables teams to speed up and automate incident responses.

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. Each partition holds data that falls within a specific range, optimizing data handling and query speed. This method distributes data evenly across partitions to achieve balanced storage and optimal query performance.

Strategy 40

Strategy Storage Database Best Practices 40

Percona

NOVEMBER 3, 2023

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge In order to speed up the benchmark indexes must be added. The “wal_level” is set at logical.

Database 102

Database Benchmarking Latency C++ 102

HammerDB

APRIL 19, 2023

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. For storage, FIO is generally used. Storage: The system has a SATA drive for the operating system and one NVMe (Intel SSD D7-P5510 (3.84 Database: MySQL 8.0.31

Performance 54

Performance Benchmarking Cache Storage 54

Percona

DECEMBER 27, 2023

Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic. You mentioned ‘More Simple Kubernetes’?

Cloud 77

Cloud Open Source Strategy Best Practices 77

Percona

MAY 1, 2023

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness.

Tuning 52

Tuning Efficiency Database Performance 52

Brendan Gregg

NOVEMBER 28, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 40

Virtualization AWS Hardware Storage 40

Percona

DECEMBER 14, 2022

The key goals of OLTP applications are availability, speed, concurrency, and recoverability. The CITUS columnar extension feature set includes: Highly compressed tables: Reduces storage requirements. Columnar storage. speeds up scans, . These applications are used concurrently by hundreds of users. drill-down. Getting it.

Database 92

Database Analytics Storage Processing 92

The Morning Paper

JANUARY 30, 2020

These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.). For these results, upload and download speed for mobile client to edge was set at 10 Mbs and 36 Mbps respectively, and for edge-to-edge and edge-to-cloud 42 Mbps and 118 Mbps respectively.

Mobile 104

Mobile Cloud Latency Games 104

Brendan Gregg

FEBRUARY 28, 2023

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 52

Performance Latency Cache Virtualization 52

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. All of these require a lot of capital.

Cloud 57

Cloud Testing Storage DevOps 57

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This speeds up accesses and updates while offloading back-end database servers. This speeds up accesses and updates while offloading back-end database servers.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This speeds up accesses and updates while offloading back-end database servers. This speeds up accesses and updates while offloading back-end database servers.

Cache 52

Cache Storage Servers Database 52

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Hardware resources. It’s crucial for a page to load at considerable speed with all the images, videos, content, and all other elements of the page. Hardware Resources. The list goes on and on. Connection time.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

n0derunner

DECEMBER 18, 2018

On the same hardware with AES enabled – the time is cut in half. This is true for all storage, so speeding up metadata resolution can make a dramatic improvement to overall throughput as we demonstrate. In our experiment we deliberately size the active working-set to NOT fit into the metadata cache.

Performance 40

Performance Cache Hardware Storage 40

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. The 5G network is operating at 3.5GHz).

Energy 130

Energy Latency Performance Network 130

Testsigma

MAY 3, 2021

What could be the best choice to cut down the costs and gain speed to move the pipeline faster than test automation? From operating systems to versions to hardware specs, mobile devices stand unique even after being billions in number. The frequent mobile app updates are living evidence of this claim.

Mobile 77

Mobile Testing Operating System Hardware 77

The Morning Paper

SEPTEMBER 19, 2019

Autoscaling tiered cloud storage in Anna. Could it be Analyzing efficient stream processing on modern hardware ? On one of the themes that captures my imagination, how changing hardware platform influence system design: Rethinking database high availability with RDMA networks. Research papers. (In In random order!). Yes please!

Blockchain 46

Blockchain Hardware Google Analytics 46

Testsigma

FEBRUARY 13, 2021

For businesses to be more agile and work with an unmatchable speed, cloud testing is crucial. If we don’t perform with speed, there’s a lot to lose. It’s not just about speeding up the deployment, the cloud-based testing tool cuts down on operational overhead costs like in-house infrastructure, maintenance of data, etc.

Cloud 52

Cloud Testing Testing Tools Small Business 52

The Morning Paper

FEBRUARY 20, 2020

… based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. Raven is the system that Microsoft built to explore this question, and answer it with a resounding yes. The last word.

Processing 72

Processing Hardware Database Azure 72