Scalegrid

JUNE 7, 2024

Features like persistent storage of messages contribute to security against data loss even when faced with unexpected system failures, which is particularly essential within IoT applications where durability and resilience are paramount components of delivering communication reliably via such networks.

IoT 130

IoT Software Architecture Architecture Scalability 130

Percona

AUGUST 30, 2023

Without data backup mechanisms, there can be data loss or system downtime. Even worse, entire operating systems can crash, also resulting in data loss. An incremental backup, which is faster and requires less storage than a full backup, captures changes made since the previous backup. This helps minimize downtime.

Database 85

Database Hardware Open Source Strategy 85

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. There are also cases where although the workload and operational needs seem to best fit to one solution, there are other limiting factors that may be blockers (or at least need special handling).

AWS 52

AWS Database Serverless Storage 52

Adrian Cockcroft

APRIL 5, 2023

This would open up opportunities to leverage existing performance monitoring tools and dashboards, extend optimization tools like autoscalers and schedulers, and to build new kinds of carbon analysis and optimization tools and services. There are also control plane overheads, shared storage volumes and supporting services to instrument.

Energy 52

Energy Metrics Cloud Operating System 52

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

Brendan Gregg

DECEMBER 31, 2017

A video of the talk is on youtube : The slides are on slideshare : I love this talk as I get to share more about what the Performance and Operating Systems team at Netflix does, rather than just my work. File System. Storage I/O. Casey Rosenthal (traffic and chaos) Models of Availability. Networking.

Tuning 61

Tuning AWS Best Practices Network 61

Brendan Gregg

DECEMBER 30, 2017

A video of the talk is on youtube : The slides are on slideshare : I love this talk as I get to share more about what the Performance and Operating Systems team at Netflix does, rather than just my work. File System. Storage I/O. Casey Rosenthal (traffic and chaos) Models of Availability. Networking.

Tuning 52

Tuning AWS Best Practices Network 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. 4 Socket, TPCC.

Servers 90

Servers Media Cache Storage 90

Adrian Cockcroft

NOVEMBER 11, 2019

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. that are used across multiple applications.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

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. 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

All Things Distributed

OCTOBER 2, 2017

The success of our early results with the Dynamo database encouraged us to write Amazon's Dynamo whitepaper and share it at the 2007 ACM Symposium on Operating Systems Principles (SOSP conference), so that others in the industry could benefit. This was the genesis of the Amazon Dynamo database.

Internet 128

Internet Internet AWS Performance 128