Apica

AUGUST 12, 2020

One of the best conversations from the event was a discussion on the five challenges enterprises need to know about testing and monitoring. Below are the five challenges we discussed regarding testing and monitoring. Monitoring Costs. With unlimited funds and resources, monitoring is not overly challenging. Scalability.

Monitoring 52

Monitoring Testing Scalability Hardware 52

Dotcom-Montior

OCTOBER 6, 2021

It also encompasses a strategy and set of practices and principles across service offerings and is closely tied to DevOps and operations. To think about it another way, site reliability engineering is where the traditional IT role, or system administration role, and DevOps meet. Monitoring. What is Site Reliability Engineering?

Engineering 67

Engineering DevOps Monitoring Google 67

Dynatrace

MARCH 23, 2020

A decade ago, while working for a large hosting provider, I led a team that was thrown into turmoil over the purchasing of server and storage hardware in preparation for a multi-million dollar super-bowl ad campaign. Our procurement decisions were based on trace data that was pulled from a handful of fragmented monitoring solutions.

Google 195

Google Engineering Metrics Hardware 195

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. Failure detection : Monitoring mechanisms detect failures or issues that could lead to failures.

Availability 104

Availability Database Open Source Hardware 104

Testsigma

JULY 3, 2021

From the maintenance and monitoring of the machines and software to upgrading and installations — you’ll need all hands on deck. More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. As the name suggests, it happens on-premise.

Cloud 57

Cloud Testing Storage DevOps 57

The Morning Paper

FEBRUARY 18, 2020

The core idea is to continuously monitor all aspects of the business, actively interpret the observations using advanced data analysis – including ML – and integrate the learnings into appropriate actions that improve business outcomes. And there’s going to be a lot of them! Data management.

Government 95

Government Software Engineering Storage Database 95

Percona

APRIL 17, 2023

It is recommended to lower this setting and monitor the impact on query performance and disk IO. Set the value to 60-70% and monitor the memory usage. For example: Read/Write tickets WiredTiger uses tickets to control the number of read / write operations simultaneously processed by the storage engine.

Best Practices 52

Best Practices Design Tuning Database 52

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. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

Dynatrace

AUGUST 5, 2019

I wear many hats in my job and while I officially call myself a “ DevOps Activist “, my official title at Dynatrace is Director of Strategic Partners. Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Dynatrace news.

Cloud 31

Cloud Traffic Database Network 31

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. It would take 5–10 minutes after the problem occurred to appear as a problem, then people have to notice and respond to emails or pager text messages, dial into a conference call, and log in to monitoring dashboards before any human response can start.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. It would take 5–10 minutes after the problem occurred to appear as a problem, then people have to notice and respond to emails or pager text messages, dial into a conference call, and log in to monitoring dashboards before any human response can start.

Latency 53

Latency Engineering Systems Hardware 53