Percona

MARCH 28, 2023

Journal It’s a process where every write operation gets written (appended) from Memory to a Journal file, AKA transaction log that exists on disk at a specific interval configured using “ journalCommitIntervalMs.” Although both the processes (involving disk) might look the same, they have different purposes.

Hardware 90

Hardware C++ Storage Cache 90

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. … based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. An INSERT INTO model.

Processing 72

Processing Hardware Database Azure 72

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. Benchmark before you decide.

Performance 127

Performance Hardware Tuning Storage 127

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., It’s also a fabulous example of recognising and challenging implicit assumptions. In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. SOSP’19.

Storage 64

Storage Systems Hardware Efficiency 64

Dynatrace

JUNE 25, 2020

For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Save on costs for hardware and network bandwidth to optimize total cost of ownership.

Availability 244

Availability Hardware Latency Traffic 244

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 196

Monitoring Serverless Programming Speed 196

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 195

Monitoring Serverless Programming Speed 195

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Percona

FEBRUARY 24, 2023

Usage reduction is a continuous process. For example, an Amazon Elastic Compute Cloud (EC2) instance with Graviton2 processors will be a better choice than non-ARM options, as it’s cheaper, and you will get real and faster cores which means the CPU cores are physical and not with hyper-threading.

Cloud 121

Cloud Serverless AWS Storage 121

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log files contain much of the data that makes a system observable: for example, records of all events that occur throughout the operating system, network devices, pieces of software, or even communication between users and application systems.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

ACM Sigarch

AUGUST 3, 2023

Embodied carbon is due to Scope 3, e.g., manufacturing IT hardware and datacenter construction. The differences across vendors and processes are increasingly well tracked as the community is starting to build carbon quantification tools for embodied carbon, e.g., Greenchip , ACT and IMEC SSTS.

Energy 98

Energy Architecture Hardware Metrics 98

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. A finely tuned database processes queries more efficiently, leading to swifter results. MySQL relies heavily on the availability of hardware resources to perform at its best.

Tuning 52

Tuning Database Performance Hardware 52

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. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 110

Availability Database Open Source Hardware 110

Percona

NOVEMBER 1, 2023

MySQL backups play a pivotal role in safeguarding the integrity of your data, providing defense against various unforeseen calamities, hardware malfunctions, data loss, corruption, and inadvertent deletions. Mydumper can compress and mysqldump needs to add a pipe to redirect the output to gzip, for example. Why Do MySQL Backups Matter?

Best Practices 80

Best Practices Storage Strategy Database 80

Percona

JUNE 22, 2023

Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for. This is not an exhaustive list but an example of what we can watch for.

Performance 106

Performance Monitoring Traffic Database 106

KeyCDN

FEBRUARY 22, 2023

The goal of WebAssembly is to execute at native speeds by taking advantage of common hardware features available on a variety of platforms. With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Percona

SEPTEMBER 1, 2023

Vertical scaling is also often discussed, which involves increasing the resources of a single server, which can have limitations in hardware capabilities and become costly as demands grow. Query Routers (mongos) : Query routers, also known as “mongos” processes, act as the interface between applications and the sharded cluster.

Best Practices 73

Best Practices Traffic Database Servers 73

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. This plays a crucial role in supervising the replication process.

Metrics 130

Metrics Monitoring Latency Cache 130

All Things Distributed

MARCH 11, 2016

This is a given, whether you are using the highest quality hardware or lowest cost components. This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic.

AWS 144

AWS Hardware Retail Virtualization 144

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. There are also large differences in storage capacity and throughput between these extremes.

Azure 72

Azure Virtualization Servers Storage 72

Percona

JULY 7, 2023

Also, in general terms, a high availability PostgreSQL solution must cover four key areas: Infrastructure: This is the physical or virtual hardware database systems rely on to run. Can you afford the necessary hardware, software, and operational costs of maintaining a PostgreSQL HA solution? there cannot be high availability.

Availability 85

Availability Open Source Architecture Database 85

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. RDS also simplifies the process of automatic scaling based on workload demand, adding or subtracting replicas to efficiently distribute read requests and reduce costs during low demand.

AWS 52

AWS Database Serverless Storage 52

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. As with any database, developers and DBAs working with MongoDB should look at how to optimize the performance of their database, especially nowadays with cloud services, where each byte processed, transmitted, and stored costs money.

Database 81

Database Servers Storage Strategy 81

Percona

JANUARY 19, 2023

Example (using the employee sample DB ): Suppose we have the following schema: db1 employees> show create table employeesG 1. Example: Creating four simple tables to store strings but using different data types: db1 test> CREATE TABLE tb1 (id int auto_increment primary key, test_text char(200)); Query OK, 0 rows affected (0.11

Open Source 90

Open Source Storage Database Big Data 90

HammerDB

APRIL 19, 2023

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9 Be sure to check back.

Performance 54

Performance Benchmarking Cache Storage 54

Percona

DECEMBER 27, 2022

With transparent data encryption (TDE), the encryption process is transparent to the user, allowing them to access and manipulate the data as usual without worrying about the encryption and decryption process. Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device.

Database 94

Database Storage Servers Strategy 94

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. This method distributes data evenly across partitions to achieve balanced storage and optimal query performance. You want to ensure that table lookups go to the correct partition or group of partitions.

Strategy 40

Strategy Storage Database Best Practices 40

Percona

AUGUST 18, 2023

The original motivation for FB was due to different hardware generations, especially between regions/data centers. For example, an older data center may have smaller/less powerful machines, so they run fewer mysqld per host there to compensate. AFAIK Facebook does this. 10-Linux.x86_64.ssl101.tar.gz 10-Linux.x86_64.ssl101/

Programming 86

Programming Servers Database Hardware 86

Testsigma

MAY 3, 2021

From operating systems to versions to hardware specs, mobile devices stand unique even after being billions in number. Automation does bring out some fruitful benefits that reap throughout the season but implementing mobile test automation also puts up some roadblocks that are best to be considered before initiating the process.

Mobile 77

Mobile Testing Operating System Hardware 77

Percona

DECEMBER 14, 2022

In the database world there are essentially two types of database operations: Online Transaction Processing , OLTP : Online transaction processing applications have high throughput and are insert- or update-intensive in database management. And if the query processes 100 million rows, that’s definitely not trivial!

Database 93

Database Analytics Storage Processing 93

The Morning Paper

JANUARY 30, 2020

The kind of edge server envisaged here might, for example, be integrated with your WiFi access point. One example from the paper is an application using the ammo.js As an example, the figure below illustrates the runtime state of the cubes simulation app. An example for the cubes application is shown below.

Mobile 104

Mobile Cloud Latency Games 104

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. faster access to external storage and data locality (I/O, bandwidth). For instance, scatter/gather pattern can be used to implement a MapReduce like batch processing architecture on top of Kubernetes. Custom schedulers.

Big Data 63

Big Data Storage Benchmarking Hardware 63

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52

Percona

APRIL 17, 2023

For example, on a 128GB memory host, this can allow up to 38.4GB of dirty pages. It is possible to remount on the fly; For example, in order to remount /mnt/db/ with these options: mount -oremount,rw,noatime/mnt/db It is necessary to add/edit the corresponding line in /etc/fstab for the option to persist on reboots. 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52