Percona

MARCH 27, 2023

The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. This can also be seen using Percona Monitoring and Management (PMM) and checking the “MySQL overview” dashboard ->“MySQL table open cache status” graphic. While you are on 5.7,

Cache 103

Cache Hardware Servers Benchmarking 103

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. For example, when running tests, the state of the device will change from “available for testing” to “in test.” In this blog post, we will focus on the latter feature set.

Latency 213

Latency Traffic Transportation Cloud 213

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. that a lot of people used.

Tuning 52

Tuning Benchmarking Engineering C++ 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. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

Dynatrace

OCTOBER 24, 2019

As an application owner, you need to ensure the continuous availability and performance of your applications from your end-users’ point of view. Sometimes, you need to check the availability of internal resources that aren’t accessible from outside your network. More information is available in Dynatrace Help.

Hardware 20

Hardware Monitoring Tuning Network 20

Percona

JANUARY 19, 2023

It is available under a paid subscription. There is a cool blog post from Vadim covering big data sets in MyRocks: MyRocks Use Case: Big Dataset Query tuning: It is common to find applications that at the beginning perform very well, but as data grows the performance starts to decrease. MyRocks is shipped in Percona Server for MySQL.

Open Source 89

Open Source Storage Database Big Data 89

KeyCDN

SEPTEMBER 20, 2018

Let’s take a look at some of the best error monitoring tools and strategies for 2018. Error monitoring can get increasingly complicated as you deal with bugs reported by users and your production team, which is why having an efficient error tracking workflow from the beginning is so important. What is Error Tracking?

Strategy 67

Strategy Monitoring Website Google 67

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. Logs can include data about user inputs, system processes, and hardware states. What is log monitoring? Log monitoring vs log analytics.

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

VoltDB

MAY 2, 2017

This allows the customer to use the existing five servers in a new configuration that trades off some level of high availability redundancy for disaster recovery and geographic redundancy. While this may not provide the level of HA necessary for a production application, some customers ask for the mixed cluster size feature (available in v6.2)

Hardware 40

Hardware Database Servers Tuning 40

Dynatrace

AUGUST 12, 2020

Despite its benefits, serverless computing introduces additional monitoring challenges for developers and IT Operations, particularly in understanding dependencies and identifying issues in the end-to-end traces that flow through a complex mix of dynamic and hybrid on-premise/cloud environments. Azure Functions in a nutshell.

Serverless 236

Serverless Azure Monitoring Lambda 236

Dynatrace

APRIL 21, 2023

In the recent webinar, Good to great: Case studies in excellence on state and local government transformations, Tammy Zbojniewicz, enterprise monitoring and service delivery owner within Michigan’s Department of Technology, Management, and Budget (DTMB), illustrates that meeting both objectives is possible.

Government 160

Government Infrastructure Innovation Monitoring 160

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. Unlike spike tests, scalability tests involve gradually increasing workload while monitoring the effects on performance. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. Every time the trigger executes, the function runs on an available resource. Monitoring serverless applications.

Serverless 243

Serverless Efficiency Lambda Azure 243

Abhishek Tiwari

JULY 12, 2018

Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. 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

Dynatrace

MAY 1, 2020

Other distributions like Debian and Fedora are available as well, in addition to other software like VMware, NGINX, Docker, and, of course, Java. This is especially the case with microservices and applications created around multiple tiers, where cheaper hardware alternatives play a significant role in the infrastructure footprint.

Java 133

Java Hardware Tuning Metrics 133

Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. Built-in monitoring. Needs third party tools for monitoring.

Open Source 301

Open Source Traffic DevOps Cloud 301

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 93

Open Source Database Hardware Strategy 93

Dynatrace

AUGUST 12, 2020

Despite its benefits, serverless computing introduces additional monitoring challenges for developers and IT Operations, particularly in understanding dependencies and identifying issues in the end-to-end traces that flow through a complex mix of dynamic and hybrid on-premise/cloud environments. Azure Functions in a nutshell.

Serverless 141

Serverless Azure Monitoring Lambda 141

SQL Performance

JANUARY 23, 2020

The queues component of our methodology comes from Performance Monitor counters, which provide a view of system performance from a resource standpoint.". Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waiting queries mean waiting applications and users, and no one likes to wait!

Tuning 115

Tuning Servers Monitoring Hardware 115

O'Reilly

NOVEMBER 28, 2023

A year after the first web servers became available, how many companies had websites or were experimenting with building them? That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. Certainly not two-thirds of them. We’ll say more about this later.) AI will be the same.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Dynatrace

NOVEMBER 20, 2019

Having released this functionality in an Early Adopter Release with OneAgent version 1.173 and Dynatrace version 1.174 back in August 2019, we’re now happy to announce the General Availability of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux. What’s included.

Availability 31

Availability Hardware Java Tuning 31

Percona

JANUARY 4, 2024

Flexible location : Data files can reside within the MySQL data directory or an independent location, enabling finer control over storage management and performance tuning. For instance: mysql> show create table authorsG 1. mysql> ALTER TABLE authors ENCRYPTION='Y'; Query OK, 0 rows affected (0.05

Storage 89

Storage Engineering Database Hardware 89

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. There is an issue with this, which causes the OS to swap even with memory available. Spoiler alert: This post focuses on MongoDB 3.6.X 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

Dynatrace

AUGUST 8, 2019

We’re happy to announce the Early Adopter Release of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux (available with OneAgent version 1.173 and Dynatrace version 1.174). Mainframe monitoring is an area of significant investment for Dynatrace.

Availability 25

Availability Hardware Java Tuning 25

SQL Performance

APRIL 27, 2020

It is built as part of the platform-as-a-service environment which provides customers with additional monitoring and security for the product. Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. New Hardware Configuration for Provisioned Compute Tier. GB per vCore. Conclusion.

Azure 55

Azure Database Serverless Hardware 55

The Morning Paper

MAY 21, 2019

Zswap is readily available and runs as a swap device in the Linux kernel. Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. ML-based auto-tuning.

Software 78

Software Software Google Hardware 78

Adrian Cockcroft

NOVEMBER 13, 2023

In the simplest case, you have a growing workload, and you optimize it to run more efficiently so that you don’t need to buy or rent additional hardware, so your carbon footprint stays the same, but the carbon per transaction or operation is going down. I’ve written before about how to tune out retry storms.

Energy 52

Energy Cloud Traffic Transportation 52

Percona

AUGUST 5, 2023

This means that multiple partitions can be processed simultaneously, making better use of available hardware resources and further enhancing query performance. Careful planning and continuous monitoring are crucial to facing these challenges and achieving optimal performance. Documentation : Always be documenting!

Strategy 40

Strategy Storage Database Best Practices 40

O'Reilly

OCTOBER 11, 2022

Andrew Ng , Christopher Ré , and others have pointed out that in the past decade, we’ve made a lot of progress with algorithms and hardware for running AI. Our current set of AI algorithms are good enough, as is our hardware; the hard problems are all about data. The data available to our retail business is much more limited.

Games 116

Games Healthcare Processing Retail 116

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. driver: intel_pstate CPUs which run at the same hardware frequency: 0 . hardware limits: 1000 MHz - 3.80 GHz available cpufreq governors: performance powersave . monitoring. monitoring.

Best Practices 40

Best Practices Scalability Performance C++ 40

John McCalpin

JANUARY 22, 2018

Since “peak performance” for the processor is two (512-bit SIMD) FMA instructions per cycle, any instructions that are not FMA instructions subtract directly from the available peak performance. of the “adjusted peak performance”, there is no longer a significant upside to performance tuning.

Latency 40

Latency Hardware Code Testing 40

SQL Performance

MARCH 8, 2021

This can make it difficult to draw sound performance-tuning conclusions. This uses hardware, typically a crystal oscillator, that produces ticks at a very high constant rate regardless of processor speed, power settings, or anything of that nature. We can do the correct offset calculation manually using the data available in the plan.

Servers 95

Servers Tuning Architecture Processing 95

SQL Server According to Bob

JANUARY 11, 2020

​​ Various defragmentation ​​ utilities ​​ are ​​ available ​​ on the market today. ​​ Extended Data: ​​ “incorrect checksum (expected:​​ ## ; actual:​​ ## )” Contact your hardware manufacture for assistance.

Servers 40

Servers Cache Database Media 40

High Scalability

NOVEMBER 25, 2019

Always be available: Have a service level circuit breaker and a circuit breaker by customer. When it goes to production you would monitor it using the various internal tools like New Relic/Grafana, Kibana and if there is a regression you would fix it. Some services are now cloud-enabled and we just autoscale them based on queue size.

Architecture 52

Architecture Cache Azure Storage 52