Dynatrace

DECEMBER 8, 2021

Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments. When an application runs on a single large computing element, a single operating system can monitor every aspect of the system.

Cloud 216

Cloud Serverless Hardware Operating System 216

Dynatrace

NOVEMBER 3, 2022

Container-based software isn’t tied to a platform or operating system, so IT teams can move or reconfigure processes easily. IaaS provides direct access to compute resources such as servers, storage, and networks. In FaaS environments, providers manage all the hardware. Process portability. Faster deployment.

Serverless 212

Serverless Azure Hardware Transportation 212

The Netflix TechBlog

MARCH 8, 2021

They need specialized hardware, access to petabytes of images, and digital content creation applications with controlled licenses. They could need a GPU when doing graphics-intensive work or extra large storage to handle file management. An API in conjunction with variables in the pipeline creates Workstation pools programmatically.

Entertainment 306

Entertainment Storage Hardware Open Source 306

Dynatrace

JUNE 25, 2020

Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Near-zero RPO and RTO—monitoring continues seamlessly and without data loss in failover scenarios. Achieve high SLOs with seamless monitoring when entire data centers experience outages.

Availability 237

Availability Hardware Latency Traffic 237

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. Without data backup mechanisms, there can be data loss or system downtime.

Database 85

Database Hardware Open Source Strategy 85

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. RDS MySQL is 5.5,

AWS 52

AWS Database Serverless Storage 52

Percona

MAY 1, 2023

Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. This not only results in cost savings by minimizing hardware requirements but also has the potential to decrease cloud expenses.

Tuning 52

Tuning Efficiency Database Performance 52

Testsigma

JULY 3, 2021

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. From the maintenance and monitoring of the machines and software to upgrading and installations — you’ll need all hands on deck. As the name suggests, it happens on-premise.

Cloud 57

Cloud Testing Storage DevOps 57

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100.

Best Practices 52

Best Practices Design Tuning Database 52

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 47

Benchmarking Database Operating System Architecture 47

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

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. The “forced flush” changes in SQL Server avoid flushes, when possible, in order to improve performance on non-optimized Fua file systems. Any storage device that can survive a power outage. Description.

Servers 90

Servers Media Cache Storage 90

SQL Server According to Bob

JANUARY 11, 2020

Subsystem / Path The ​​ I/O subsystem or path ​​ includes ​​ those ​​ components ​​ that are ​​ used to support an I/O operation. Remove the ​​ power cord ​​ that supplies ​​ power to storage devices.

Servers 40

Servers Cache Database Media 40

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. Optimize on prem cold storage cost.

Architecture 52

Architecture Cache Azure Storage 52

Adrian Cockcroft

NOVEMBER 11, 2019

A learning organization, disaster recovery testing, game days, and chaos engineering tools are all important components of a continuously resilient system. This discussion focuses on hardware, software and operational failure modes. that are used across multiple applications.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

A learning organization, disaster recovery testing, game days, and chaos engineering tools are all important components of a continuously resilient system. This discussion focuses on hardware, software and operational failure modes. that are used across multiple applications.

Latency 53

Latency Engineering Systems Hardware 53

Smashing Magazine

JANUARY 7, 2019

Testing And Monitoring. Good for raising alarms and monitoring changes over time, not so good for understanding user experience. Good for describing the user experience and monitoring, not so good for knowing what happens between the milestones. Getting Ready: Planning And Metrics. Setting Realistic Goals. Assets Optimizations.

Performance 104

Performance Cache Metrics Network 104