Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. Dynatrace news. What is infrastructure monitoring? .

Infrastructure 198

Infrastructure Monitoring Virtualization Serverless 198

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 207

Analytics Monitoring Artificial Intelligence DevOps 207

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

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?

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Percona

DECEMBER 4, 2023

Release highlights include: Docker images are now available for x86_64 architectures. The percona-postgis33 and percona-pgaudit packages on YUM-based operating systems are renamed percona-postgis33_15 and percona-pgaudit15 respectively Download Percona Distribution for PostgreSQL 15.5 Percona XtraBackup 8.0.35-30

Open Source 82

Open Source Azure Servers Programming 82

Percona

JULY 1, 2023

Multi-Availability Zone (AZ) Deployment Aurora’s Multi-Availability Zone (AZ) deployment offers remarkably high availability and fault tolerance by automatically replicating data across multiple availability zones using its distributed storage architecture to eliminate single points of failure. 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 78

Open Source Database Storage Scalability 78

Testsigma

JULY 23, 2020

The data processing and storage in case of web applications happens on the remote server which can be easily accessed by all the remote users instead of heavy file transfers across computers. Storage of Data Desktop applications have all the data stored on the machine on which the application is deployed.

Testing 63

Testing Internet Internet Latency 63

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

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 91

Database Hardware Open Source Strategy 91

All Things Distributed

DECEMBER 18, 2012

Jul - 13 Hints for Computer Systems Design Proceedings of the Ninth ACM Symposium on Operating Systems Principles, pp. Harris, Alex Ho, Rolf Neugebauer, Ian Pratt, Andrew Warfield, in the Proceedings of the 19th ACM Symposium on Operating Systems Principles, October 19-22, 2003, Bolton Landing, NY USA.

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

HammerDB

MAY 5, 2019

Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and HammerDB has no optimization whatsoever for a database running on any particular architecture. in the directory storage/innobase/ut the following section has UT_RELAX_CPU defined to call the PAUSE instruction on x86.

Testing 48

Testing Tuning Latency Storage 48

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

Percona

AUGUST 30, 2018

In this benchmark the difference between looking at workload from a SQL commands standpoint vs a row operation standpoint yields the same results, but it is not going to always be the case. Let’s now look at the operating system level. This workload is write intensive by this measure. Not all writes are equal either.

Benchmarking 48

Benchmarking Database Operating System Architecture 48

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

ACM Sigarch

AUGUST 20, 2018

We are used to instances of software running on different computer systems as long as some basic requirements are met (e.g., same instruction set architecture, same operating system, etc.). Similarly, we expect that most computer systems can read (and write) data that is stored in some memory. Interoperability.

Hardware 47

Hardware Operating System Architecture Software 47

O'Reilly

DECEMBER 2, 2019

I don’t need more bandwidth for video conferences or movies, but I would like to be able to download operating system updates and other large items in seconds rather than minutes. What would the world look like if all of our storage was in the cloud, and access to that storage was so fast we didn’t care? Mike Loukides.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). Capability integrity prevents direct in-memory manipulation of architectural capability encodings. ASPLOS’19.

C++ 61

C++ Hardware Virtualization Benchmarking 61

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

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

Adrian Cockcroft

JUNE 21, 2022

I had to setup a week of talks by all the relevant product teams, with a hundred or so of the most experienced systems engineers from all over the world as an audience. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

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

The limits legitimated the architecture of app store control are gone, but the rules have not changed. Apple's defenders offer contradictory arguments: Browsers are essential to modern operating systems, and so iOS includes a good browser. 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. Image source ).

Performance 104

Performance Cache Metrics Network 104

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