Dynatrace

JULY 31, 2020

You’re then presented with the Dynatrace Managed cluster deployment page, which contains basic information about Dynatrace, the solution itself, and a link to our documentation. Since each node should have the same hardware configuration, you only need to do this once as it will then be applied to each and every node.

Cloud 206

Cloud Availability Azure Google 206

Scalegrid

JANUARY 8, 2024

Understanding Multi-Cloud and Hybrid Cloud Cloud computing has revolutionized the IT industry, offering a host of advantages including cost-effectiveness, increased agility, and access to cutting-edge hardware. Challenges of Multi-Cloud Although multi-cloud has its benefits, it also presents some obstacles. But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 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

JANUARY 16, 2023

On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors. The immense growth of Kubernetes presents new security challenges in runtime and increased complexity in hardening CI/CD pipelines in development.

Open Source 340

Open Source Java Operating System Programming 340

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources.

Monitoring 196

Monitoring Serverless Programming Speed 196

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources.

Monitoring 195

Monitoring Serverless Programming Speed 195

Percona

FEBRUARY 24, 2023

Let’s take a look at how to get the benefits you need while spending less, based on the recommendations presented by Dani Guzmán Burgos, our Percona Monitoring and Management (PMM) Tech Lead, on this webinar (now available on demand) hosted in November last year. Amazon Elastic Block Store (EBS) is your good-to-go option for disk space.

Cloud 123

Cloud Serverless AWS Storage 123

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

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. Despite all its upside, PostgreSQL software presents such challenges. Can you afford the necessary hardware, software, and operational costs of maintaining a PostgreSQL HA solution?

Availability 87

Availability Open Source Architecture Database 87

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 96

Open Source Database Hardware Strategy 96

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 112

Availability Database Open Source Hardware 112

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

Percona

JANUARY 17, 2023

In terms of storage, internal pages are no different than the root page; they also store pointers to other internal pages. In this blog, I have deliberately chosen an index without any internal pages, so that readers may understand that internal pages may not necessarily be present in every B-tree index. Defective disk or RAM.

Database 122

Database Hardware Storage Programming 122

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 The “wal_level” is set at logical. Redundancy can potentially decrease overall performance.

Database 108

Database Benchmarking Latency C++ 108

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Hardware resources. Present-day applications make more much use of the database. Hardware Resources. Effective usage of hardware resources can help in capacity planning and provide a better end-user experience.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 110

Performance Latency Cache Virtualization 110

The Morning Paper

DECEMBER 8, 2019

On the last morning of the conference Daniel Bittman presented some of the work being done in the context of the Twizzler OS project to explore new programming models for NVM. This is left as an exercise for the application developer at present. In particular, it’s goodbye to the POSIX interface. What about security?

Hardware 56

Hardware Programming Media Storage 56

Scalegrid

JANUARY 25, 2024

It’s important to note that recommended throughput levels may vary depending on factors such as operating system type, network bandwidth availability, and hardware quality. Furthermore, the wise utilization of different types Redis offers, such as strings, lists, sets , and sorted sets , allows efficient storage management.

Metrics 130

Metrics Monitoring Latency Cache 130

The Morning Paper

JUNE 13, 2019

HotOS’19 is presenting me with something of a problem as there are so many interesting looking papers in the proceedings this year it’s going to be hard to cover them all! Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs. HotOS’19.

Hardware 58

Hardware Latency Serverless Energy 58

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 object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

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 object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52

SQL Performance

DECEMBER 27, 2019

billion rows, presented on 143 million pages, and occupying ~1.14TB. Note that I am not focusing on reporting workload or other read query performance at this time – I merely want to see what impact I can have on storage (and memory) footprint of this data. At the time it had 3.75 Sounds like a great job for compression, right?

Database 70

Database Storage Hardware Efficiency 70

The Morning Paper

MAY 28, 2019

The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. Race logic has four primary operations that are easy to implement in hardware: MAX, MIN, ADD-CONSTANT, and INHIBIT. One efficient way of doing that in analog hardware is the use of current-starved inverters.

Energy 52

Energy Hardware Efficiency Architecture 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

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

SQL Performance

MARCH 17, 2020

I will be looking for distinct values in the BountyAmount column of the dbo.Votes table, presented in bounty amount order ascending. The MAXDOP 1 query now uses a Stream Aggregate because the optimizer can use the nonclustered index to present rows in BountyAmount order: Serial Nonclustered Row Mode Plan.

Servers 86

Servers Tuning Database Efficiency 86

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

The Morning Paper

MARCH 17, 2020

Based on these findings, the authors present four guidelines to get the best performance out of this memory today. Optane DIMMs have lower latency and higher bandwidth than storage devices connected over PCIe (including Optane SSDs), and present a memory address-based interface as opposed to a block-based NVMe interface.

Scalability 59

Scalability Latency Cache Media 59

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] , Nov 2011 [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] , Feb 2012 [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] , 2013 [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 52

Performance Latency Cache Virtualization 52

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Helps developers present better, more contextual options and prompts, reducing user annoyance and "prompt spam" Screen Wakelock. Important for apps that present boarding passes and QR codes for scanning, as well as and presentation apps (e.g.

Media 145

Media Games Education Engineering 145

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . For this reason sysbench presents a vastly more simplified workload than HammerDB. .

Best Practices 40

Best Practices Scalability Performance C++ 40

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

SQL Server According to Bob

JANUARY 11, 2020

​​ Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information presented after the date of publication. Stable Media Stable media is often confused with physical storage.

Servers 40

Servers Cache Media Hardware 40

Percona

APRIL 17, 2023

Since MongoDB usually works with a replica set, it is possible to increase this parameter to get better performance: # edit /etc/mongod.conf storage: journal: enabled: true commitIntervalMs: 300 WiredTiger cache For dedicated servers, it is possible to increase the WiredTiger(WT) cache. By default, it uses 50% of the memory + 1 GB.

Best Practices 52

Best Practices Design Tuning Database 52

Alex Russell

SEPTEMBER 20, 2020

Pre-publication gates were valuable when better answers weren't available, but commentators should update their priors to account for hardware and software progress of the past 13 years. Fast forward a decade, and both the software and hardware situations have changed dramatically. Don't like the consequences?

Hardware 64

Hardware Mobile Programming Java 64

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Hardware Past As Performance Prologue. This 2GiB RAM, Android 9 stalwart features the all-too classic lines of a Quad-core A53 (1.4GHz, small mercies) CPU, tastefully presented in a charming 5.5"

Performance 124

Performance Network Cache Metrics 124