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.

Cache 104

Cache Hardware Servers Benchmarking 104

The Netflix TechBlog

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy.

Latency 213

Latency Traffic Transportation Cloud 213

Alex Podelko

OCTOBER 20, 2016

Software as a Service’ (SaaS) basically are centrally managed systems with multiple tenants/instances. From one side, it makes it easier to monitor and update / rollback systems that lowers performance-related risks. System’s configuration is not given anymore and often can’t be easily mapped to hardware.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

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? Dynatrace news. billion in 2020 to $4.1

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

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

Percona

JANUARY 19, 2023

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. It was developed for optimizing data storage and access for big data sets.

Open Source 91

Open Source Storage Database Big Data 91

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

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. Dynatrace news.

Serverless 236

Serverless Azure Monitoring Lambda 236

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. In the context of web development, performance testing entails using software tools to simulate how an application runs under specific circumstances.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Percona

OCTOBER 18, 2023

Limited toolset and features Another challenge that organizations may face when considering open source is the perception that community software versions have a limited set of features. Security and risk The question “ Is Open Source software safe? Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 95

Open Source Database Hardware Strategy 95

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

Architecture 231

Architecture Artificial Intelligence Cloud Open Source 231

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

VoltDB

MAY 2, 2017

because they want to use a lower k- factor (even 0) on the replica cluster to lower hardware costs. Recovery time can vary depending on the amount of data, the number of nodes, the hardware, and the number of indexes and views in the schema. Some customers use scripts or monitoring tools to automate this.

Hardware 40

Hardware Database Servers Tuning 40

Dynatrace

SEPTEMBER 29, 2021

Just like shipping containers revolutionized the transportation industry, Docker containers disrupted software. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. Built-in monitoring. Watch webinar now!

Open Source 301

Open Source Traffic DevOps Cloud 301

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. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.

Serverless 243

Serverless Efficiency Lambda Azure 243

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. Dynatrace news.

Serverless 141

Serverless Azure Monitoring Lambda 141

Dynatrace

MAY 1, 2020

From the software perspective, Linux players like RedHat, Ubuntu, and SUSE have already entered this market with fully supported enterprise versions of Linux for ARM. Other distributions like Debian and Fedora are available as well, in addition to other software like VMware, NGINX, Docker, and, of course, Java. What’s included.

Java 133

Java Hardware Tuning Metrics 133

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

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

The Morning Paper

MAY 21, 2019

Software-defined far memory in warehouse-scale computers Lagar-Cavilla et al., Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. ML-based auto-tuning. During this period site engineers monitored application-level performance metrics and observed no SLO violations.

Software 78

Software Software Google Hardware 78

The Netflix TechBlog

APRIL 29, 2019

Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites.

Open Source 279

Open Source Network Infrastructure Big Data 279

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. systemctl stop tuned $ systemctl disable tuned Dirty ratio The dirty_ratio is the percentage of total system memory that can hold dirty pages.

Best Practices 52

Best Practices Design Tuning Database 52

Dynatrace

OCTOBER 26, 2020

Now you have your JMeter metrics in Dynatrace alongside your full stack monitoring metrics captured by OneAgent: JMeter data is streamed to Dynatrace via the Metrics Ingest API. So stay tuned. The team wanted to monitor the gaming room (to detect if it is free or not) and show the status with a Dynatrace UFO on each floor.

Innovation 153

Innovation Metrics Hardware Games 153

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

DZone

AUGUST 16, 2019

It’s not just a simple tweak you can turn on/off; it’s a long-time process that touches almost every single item in your stack, including both hardware and software sides of the system. Application scalability is the potential of an application to grow in time, being able to efficiently handle more and more requests per minute (RPM).

Scalability 145

Scalability Efficiency Hardware Software 145

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

Dotcom-Montior

OCTOBER 12, 2017

Integration Showcase: Dynatrace & Dotcom-Monitor’s LoadView. Dotcom-Monitor’s LoadView and Dynatrace are performance-engineering platforms by heart. Trial account for dotcom-monitor LoadView SaaS. Software used in the showcase. Dynatrace OneAgent – Monitoring Agent from Dynatrace. Installation.

AWS 40

AWS Tuning Monitoring Servers 40

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. What’s included.

Availability 25

Availability Hardware Java Tuning 25

O'Reilly

OCTOBER 11, 2022

meme originated in IT’s transformation from manual system administration to automated configuration management and software deployment. 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. We’ll see it in banking.

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 . CPUs which need to have their frequency coordinated by software: 0 . hardware limits: 1000 MHz - 3.80 monitoring.

Best Practices 40

Best Practices Scalability Performance C++ 40

Percona

AUGUST 30, 2018

Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability. The illustrations below are taken from Percona Monitoring and Management (PMM) while running this benchmark.

Benchmarking 48

Benchmarking Database Operating System Architecture 48

John McCalpin

JANUARY 22, 2018

Hardware performance counter results for a simple benchmark code calling Intel’s optimized DGEMM implementation for this processor (from the Intel MKL library) show that about 20% of the dynamic instruction count consists of instructions that are not packed SIMD operations (i.e., addl $1, %eax vfmadd213pd %zmm16, %zmm17, %zmm29.

Latency 40

Latency Hardware Code Testing 40

SQL Server According to Bob

JANUARY 11, 2020

ReadFile WriteFile ReadFileScatter WriteFileGather GetOverlappedResult ​​ For extended details on the 823 error, see ​​ Error message 823 may indicate hardware problems or system problems ​​ ( [link] i crosoft.com/default.aspx?scid=kb ​​ Contact your hardware manufacture for assistance.

Servers 40

Servers Cache Database Media 40

High Scalability

NOVEMBER 25, 2019

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. We do a production deploy every Wednesday and monitor new relic, exception reports daily for any anomalies. New Relic is used to monitor the Application performance.

Architecture 52

Architecture Cache Azure Storage 52