Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Challenges of Multi-Cloud Although multi-cloud has its benefits, it also presents some obstacles.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! Or even on a plane.

Performance 110

Performance Latency Cache Virtualization 110

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 90

Database Hardware Open Source Strategy 90

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. It provides a consistent platform that integrates with a variety of message queuing types to enable consistent performance regardless of the platform. A producer creates the message, and a consumer processes it.

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. It provides a consistent platform that integrates with a variety of message queuing types to enable consistent performance regardless of the platform. A producer creates the message, and a consumer processes it.

Monitoring 195

Monitoring Serverless Programming Speed 195

Brendan Gregg

JULY 4, 2021

It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.

Performance 52

Performance Latency Hardware Storage 52

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Key Takeaways Redis® monitoring is essential for safeguarding performance, reliability, and security.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. The report also reveals the leading programming languages practitioners use for application workloads.

Open Source 340

Open Source Java Operating System Programming 340

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. Over-provisioned instances may lead to unnecessary infrastructure costs.

Cloud 121

Cloud Serverless AWS Storage 121

Alex Russell

MARCH 6, 2021

Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. Poor performance has a compound effect on user expectations at an ecosystem level. Live by the link, die by the link.

Performance 124

Performance Network Cache Metrics 124

Percona

OCTOBER 18, 2023

Community support One of the most significant advantages of open source databases is the expansive global community of users, developers, DBAs, and enthusiasts who collaborate to provide a seemingly never-ending array of how-tos, resources, guidance, and solutions to help you make your database more performant and secure.

Open Source 94

Open Source Database Hardware Strategy 94

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 85

Availability Open Source Architecture Database 85

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person!

Performance 52

Performance Latency Cache Virtualization 52

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. You might already use ScaleGrid hosting for Redis hosting to power your performance-sensitive applications.

Metrics 130

Metrics Monitoring Latency Cache 130

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. How does high availability work? Redundancy is also critical for disaster recovery.

Availability 110

Availability Database Open Source Hardware 110

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. Here is a catch!

Database 120

Database Hardware Storage Programming 120

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 Repeating the benchmark once again demonstrates that performance has degraded somewhat. NOTICE: Moving shard 102022 from citus1:5432 to citus2:5432.

Database 107

Database Benchmarking Latency C++ 107

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Web monitoring is a comprehensive term that describes the activity of testing a website or web application for its availability and performance. Hardware resources. Performance during a load. HTTP Monitoring.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Smashing Magazine

JANUARY 11, 2021

Front-End Performance Checklist 2021. Front-End Performance Checklist 2021. This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Web performance is a tricky beast, isn’t it?

Performance 145

Performance Cache Media Metrics 145

HammerDB

OCTOBER 12, 2018

This post complements the previous best practice guides this time with the focus on MySQL and MariaDB and achieving top levels of performance with the HammerDB MySQL TPC-C test. As is exactly the same with PostgreSQL for system choice a 2 socket system is optimal for MySQL OLTP performance. hardware limits: 1000 MHz - 3.80

Best Practices 40

Best Practices Scalability Performance C++ 40

The Morning Paper

DECEMBER 8, 2019

At the start of November I was privileged to attend HPTS (the High Performance Transaction Systems) conference in Asilomar. 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. What about security?

Hardware 56

Hardware Programming Media Storage 56

SQL Performance

MARCH 17, 2020

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. I will be looking for distinct values in the BountyAmount column of the dbo.Votes table, presented in bounty amount order ascending. Performance is competitive at around 15ms. BountyAmount ; Performance Summary Table. Test Environment.

Servers 86

Servers Tuning Database Efficiency 86

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 Here is the original table.

Database 70

Database Storage Hardware Efficiency 70

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! “ For instance, Facebook applications issue tens-of-trillions of inference queries per day with varying performance, accuracy, and cost constraints.”

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

Testsigma

JULY 3, 2021

If you’ve been performing on-premise testing in your organization, you know the rules already. But for the uninitiated, on-premise testing is a form of testing where testers perform tests on local machines, systems, or devices set up at an office. As the name suggests, it happens on-premise. Photo by freestocks on Unsplash.

Cloud 57

Cloud Testing Storage DevOps 57

The Morning Paper

FEBRUARY 20, 2020

The motivation is not that inference will perform better inside the database, but that the database is the best place to take advantage of enterprise features (transactions, security, auditing, HA, and so on). Raven is the system that Microsoft built to explore this question, and answer it with a resounding yes. " Query execution. . "

Processing 72

Processing Hardware Database Azure 72

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

Alex Russell

APRIL 29, 2021

Classics of the genre include: Apple's just focused on performance! The Performance Argument. As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. Steve & Tim's Close-up Magic.

Media 145

Media Games Education Engineering 145

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. The data we have collected demonstrate that many of the assumptions that researchers have made about how NVDIMMs would behave and perform are incorrect. Understanding Optane DIMM performance.

Scalability 59

Scalability Latency Cache Media 59

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

DECEMBER 18, 2018

Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Performance points of reference: The following charts highlight the increase in performance. The Back Story.

Servers 90

Servers Media Cache Storage 90

Percona

APRIL 17, 2023

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. For bare metals, any algorithm among deadline or noop (the performance difference between them is imperceptible) will be better than CFQ.

Best Practices 52

Best Practices Design Tuning Database 52

Smashing Magazine

JANUARY 6, 2020

Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]. Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]. Web performance is a tricky beast, isn’t it? How do we actually know where we stand in terms of performance, and what our performance bottlenecks exactly are? Vitaly Friedman.

Performance 145

Performance Cache Network Metrics 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

Smashing Magazine

JANUARY 7, 2019

Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]. Front-End Performance Checklist 2019 [PDF, Apple Pages, MS Word]. Web performance is a tricky beast, isn’t it? How do we actually know where we stand in terms of performance, and what our performance bottlenecks exactly are? Vitaly Friedman.

Performance 103

Performance Cache Metrics Network 103