Percona

MAY 1, 2023

Default settings can help you get started quickly – but they can also cost you performance and a higher cloud bill at the end of the month. I’ll show you some MySQL settings to tune to get better performance, and cost savings, with AWS RDS. This was exactly what was happening on this server. Buffer Pool Size | 92.0G

AWS 116

AWS Hardware Storage Tuning 116

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”. So stay tuned! What’s next.

Serverless 239

Serverless Azure Monitoring Lambda 239

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions.

Engineering 231

Engineering Entertainment Cloud Infrastructure 231

SQL Performance

JANUARY 23, 2020

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006.

Tuning 115

Tuning Servers Monitoring Hardware 115

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”. So stay tuned! What’s next.

Serverless 143

Serverless Azure Monitoring Lambda 143

Percona

OCTOBER 18, 2023

These vendors often provide integrated stacks that include the database, application server, and other components that seamlessly integrate. Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. And finally… budgets.

Open Source 88

Open Source Database Hardware Strategy 88

The Netflix TechBlog

APRIL 29, 2019

Content is placed on the network of servers in the Open Connect CDN as close to the end user as possible, improving the streaming experience for our customers and reducing costs for both Netflix and our Internet Service Provider (ISP) partners. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid.

Open Source 279

Open Source Network Infrastructure Big Data 279

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

Percona

AUGUST 27, 2018

It is well hidden in the Optimization: Optimizing the MySQL Server chapter. assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. Then we need to see IF implementing the tuning will work or not.

Tuning 44

Tuning Virtualization Testing Servers 44

O'Reilly

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” A year after the first web servers became available, how many companies had websites or were experimenting with building them? Until AI reaches 100%, it’s still in the process of adoption.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

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

Alex Podelko

OCTOBER 20, 2016

– Cloud. Cloud seriously impacts system architectures that has a lot of performance-related consequences. To get full advantage of cloud, such cloud-specific features as auto-scaling should be implemented. System’s configuration is not given anymore and often can’t be easily mapped to hardware. – Agile.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

Dotcom-Montior

NOVEMBER 11, 2020

Well, to start, serverless, or serverless computing , doesn’t really mean there aren’t servers involved, because there are, rather it refers to the fact that the responsibility of having to manage, scale, provision, maintain, etc., Benefits of a Serverless Model. No more having to worry about maintenance, patching, or scaling.

Serverless 57

Serverless Monitoring Lambda Latency 57

Adrian Cockcroft

NOVEMBER 13, 2023

This is basically the position of the major cloud providers, they will all take care of it for you by 2030 or so. The carbon footprint of a large rack mounted server is order-of-magnitude a ton of carbon a year. I’ve written before about how to tune out retry storms. But you want to *do something* to help sooner.

Energy 52

Energy Cloud Traffic Transportation 52

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. First off there still is a model of course (but then there are servers hiding behind a serverless abstraction too!). autoscaling).

Hardware 58

Hardware Latency Serverless Energy 58

Brendan Gregg

SEPTEMBER 25, 2021

This server is spending about a third of its CPU cycles just checking the time! As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. We ended up setting it in the BaseAMI for all cloud services. 30.14% in the middle of the flame graph.

Speed 126

Speed Java AWS Virtualization 126

Dynatrace

NOVEMBER 20, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. running on the 64-bit OS/390x platform.

Availability 32

Availability Hardware Java Tuning 32

HammerDB

JANUARY 5, 2019

As the chart shows because we know that both HammerDB and the implementation of the TPC-C workload scales then we can determine that with this particular database engine both the software and hardware scales as well. If you only test your own application (and if you have more than one application which one will you use for benchmarking?)

Benchmarking 40

Benchmarking Database Social Media Scalability 40

Dynatrace

AUGUST 8, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. running on the 64-bit OS/390x platform.

Availability 25

Availability Hardware Java Tuning 25

Dotcom-Montior

OCTOBER 12, 2017

Both have an excellent customer base, are fully Cloud native solutions and root on a long-standing history. EasyTravel demo application on AWS server. LoadView scripting tool Easystep on AWS server. Firewall on AWS server. AWS server security policy. Go to Settings / Server-side service monitoring.

AWS 40

AWS Tuning Monitoring Servers 40

Brendan Gregg

SEPTEMBER 5, 2017

Linux has been adding tracing technologies over the years: kprobes (kernel dynamic tracing), uprobes (user-level dynamic tracing), tracepoints (static tracing), and perf_events (profiling and hardware counters). Oracle VM Server is based on Xen. Outside of EC2, many other providers are deploying on KVM.

Virtualization 76

Virtualization AWS Engineering Hardware 76

O'Reilly

JANUARY 16, 2024

I’ve been diligent about data backup throughout my life, but my files are fragmented amongst different media over the years—burning CDs and DVDs back in the day, several generations of external hard drives (that are in various states of decay), university servers, Dropbox, and other cloud services.

Entertainment 72

Entertainment Internet Internet Design 72

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Bottlenecks can occur, for example, if you have a sudden surge in traffic that your servers are not equipped to handle. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

High Scalability

NOVEMBER 25, 2019

Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Migration to cloud. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52

Brendan Gregg

SEPTEMBER 25, 2021

This server is spending about a third of its CPU cycles just checking the time! As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. We ended up setting it in the BaseAMI for all cloud services. 30.14% in the middle of the flame graph.

Speed 40

Speed Java AWS Virtualization 40

Percona

JANUARY 17, 2019

On multi-core machines – which is the majority of the hardware nowadays – and in the cloud, we have multiple cores available for use. I will compare AWS Aurora with MySQL (Percona Server) 5.6 84.1 | | version_comment | Percona Server (GPL), Release 84.1, With faster disks (i.e.

Cache 45

Cache C++ AWS Airlines 45