Percona

JUNE 6, 2023

Therefore, establishing a strong backup strategy is essential to ensure data security and minimize potential disruptions. A full backup is a comprehensive data backup strategy that involves creating a complete, exact copy of all data and files in a database. Looking for a MongoDB backup solution? What is a full backup?

Storage 67

Storage Strategy Network Efficiency 67

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. Because it’s based on RHEL CoreOS, OpenShift can also update the underlying operating system the nodes are running on.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

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.

Database 84

Database Hardware Open Source Strategy 84

Scalegrid

JANUARY 25, 2024

It’s important to note that recommended throughput levels may vary depending on factors such as operating system type, network bandwidth availability, and hardware quality. Memory RSS (Resident Set Size) is the number of bytes that the operating system has allocated to Redis. it signifies memory fragmentation.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

AUGUST 24, 2020

OneAgent and its Operator . Dynatrace supports full-stack monitoring from the application to the operating system layer using OneAgent. Using OneAgent Operator, OneAgent can be automatically installed on every Kubernetes Node ( DaemonSet ) , thereby ensuring all nodes are monitored when they join your cluster.

Analytics 135

Analytics Infrastructure AWS Operating System 135

The Netflix TechBlog

FEBRUARY 9, 2022

see “data pipeline” Intro The problem of managing scheduled workflows and their assets is as old as the use of cron daemon in early Unix operating systems. The design of a cron job is simple, you take some system command, you pick the schedule to run it on and you are done. workflow ?—?see

Storage 201

Storage Data Engineering Testing Code 201

Tech News Gather

APRIL 10, 2023

iOS and Android are only two of the mobile operating systems that are compatible with the platform. Together with UI design tools and powerful debugging features, these IDEs provide cloud storage and other critical services. Author Bio: Prashant Pujara is the CEO of MultiQoS Technologies.,

Mobile 52

Mobile Development Open Source Java 52

Dynatrace

JULY 8, 2020

Kubernetes has taken over the container management world and beyond , to become what some say the operating system or the new Linux of the cloud. But they are highly valuable for the platform operations , as they ’re typically one of the first things you look at when something goes wrong with the workload.

Infrastructure 201

Infrastructure Monitoring Cloud Metrics 201

Percona

JULY 1, 2023

Download our eBook, “ Enterprise Guide to Cloud Databases ” to help you make more informed decisions and avoid costly mistakes as you develop and execute your cloud strategy. While RDS MySQL supports multiple storage engines with varying capabilities, not all of them are optimized for crash recovery and data durability.

AWS 52

AWS Database Serverless Storage 52

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

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

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

Percona

MAY 1, 2023

Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. Connection pooling: Minimizing connection overhead and improving response times for frequently accessed data by implementing mechanisms for connection pooling and caching strategies.

Tuning 52

Tuning Efficiency Database Performance 52

Testsigma

FEBRUARY 13, 2021

In physical infrastructure, setting up the environment is also time-consuming but cloud-based tools are preconfigured with devices, software, storage so you can begin testing right away. Besides, physical infrastructure needs regular maintenance and upgrading which you can avoid altogether with cloud-based tools.

Cloud 52

Cloud Testing Testing Tools Small Business 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. 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

Smashing Magazine

OCTOBER 21, 2021

Most new operating systems enable the user to set their motion preferences in their system-level settings. The prefers-reduced-motion media query (part of the Level 5 Media Queries specification) allows us to detect users’ system-level motion preferences, and apply CSS styles that respect that. More after jump!

Media 125

Media Systems Mobile Design 125

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

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

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

Testsigma

FEBRUARY 13, 2021

When dealing with user data, it is important to ensure that user data remains secure in all stages of collection, storage and processing. This can become an important step in deciding your mobile application testing strategy and can be a major contributor to its success.

Mobile 52

Mobile Testing Network Analytics 52

Sutter's Mill

MARCH 11, 2024

s study of uses of C#’s unsafe on StackOverflow and prevalence of vulnerabilities, and that all programs eventually call trusted native libraries or operating system code. That’s pretty easy to statically guarantee, except for some cases of the unused parts of lazily constructed array/vector storage.

C++ 139

C++ Programming Code Java 139

Adrian Cockcroft

NOVEMBER 11, 2019

Starting with the purpose for the system, we can walk through all the steps that provide value to its users, see what might go wrong with each step, come up with an observability and mitigation strategy, and find ways to run chaos experiments to validate our design controls. that are used across multiple applications.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

Starting with the purpose for the system, we can walk through all the steps that provide value to its users, see what might go wrong with each step, come up with an observability and mitigation strategy, and find ways to run chaos experiments to validate our design controls. that are used across multiple applications.

Latency 53

Latency Engineering Systems Hardware 53

Smashing Magazine

JANUARY 7, 2019

It might be tempting to get into quick "low-hanging-fruits"-optimizations early on — and eventually it might be a good strategy for quick wins — but it will be very hard to keep performance a priority without planning and setting realistic, company-tailored performance goals. The strategy? when web fonts aren’t loaded yet).

Performance 104

Performance Cache Network Metrics 104