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. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198

Dynatrace

NOVEMBER 29, 2021

It offers automated installation, upgrades, and life cycle management throughout the container stack — the operating system, Kubernetes and cluster services, and applications — on any cloud. Microservices architecture combines loosely-coupled functions to create high-performing applications. The result? OpenShift 3.0

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

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

Percona

JULY 1, 2023

It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best. Amazon Aurora is a relational, proprietary, closed-source database engine with all that that implies. RDS MySQL is 5.5,

AWS 52

AWS Database Serverless Storage 52

Percona

MARCH 30, 2023

This comprehensive overview examines open source database architecture, types, pros and cons, uses by industry, and how open source databases compare with proprietary databases. Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing.

Open Source 73

Open Source Database Storage Scalability 73

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 86

Database Hardware Open Source Strategy 86

Adrian Cockcroft

APRIL 5, 2023

Energy data can be obtained from power delivery systems in datacenters or from intelligent plugs or power strips. At the instance level, many CPU and system architectures have direct access to power consumption metrics. There are also control plane overheads, shared storage volumes and supporting services to instrument.

Energy 52

Energy Metrics Cloud Operating System 52

All Things Distributed

DECEMBER 18, 2012

May 28 - Virtual Time and Global States of Distributed Systems , Friedemann Mattern, Parallel and Distributed Algorithms, North-Holland (1989) , p. Jul 4 - Leases: An efficient fault-tolerant mechanism for distributed file cache consistency , Gray, Cary, and David Cheriton, Vol. Jul 6 - End-To-End Arguments in System Design , by J.

Operating System 144

Operating System Cache AWS Scalability 144

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

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. USENIX ATC is a top-tier venue with a broad range of systems research papers from both industry and academia. Final words.

Architecture 12

Architecture Hardware Cache Storage 12

The Netflix TechBlog

SEPTEMBER 24, 2021

Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram. Lastly, the packager kicks in, adding a system layer to the asset, making it ready to be consumed by the clients.

Cloud 237

Cloud Media Storage Cache 237

Tasktop

DECEMBER 18, 2019

If you are not familiar with the functional programming or data storage concepts that come up, talk to one of your developers who do. For example, making major staffing, outsourcing or architecture is foolhardy without measuring how those decisions impact flow on a particular value stream. .

Software Architecture 45

Software Architecture Architecture Metrics Software 45

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well.

Servers 40

Servers Cache Media Hardware 40

Alex Russell

SEPTEMBER 20, 2020

When working well — efficiently applying unobjectionable policy — store screening is invisible to everyone but developers. The limits legitimated the architecture of app store control are gone, but the rules have not changed. The web was a lifeboat away from native apps for Windows XP users.

Hardware 64

Hardware Mobile Programming Java 64

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. We believe that installing our software should be as straightforward as we can make it, requiring minimal knowledge of the host operating system and the fewest possible explicit configuration settings.

Cache 40

Cache Servers Network Design 40

All Things Distributed

MARCH 11, 2016

The expectation was that with each order or two of magnitude, we would need to revisit and revise the architecture to make sure we could address the issues of scale. We needed to build such an architecture that we could introduce new software components without taking the service down.

AWS 144

AWS Hardware Retail Virtualization 144

Smashing Magazine

JANUARY 7, 2019

Keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet. You could examine your framework candidates and the proposed architecture, and study how most solutions out there perform, e.g. with server-side rendering or client-side rendering, on average.

Performance 104

Performance Cache Metrics Network 104