Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19. This is not surprising in hindsight.

Storage 64

Storage Systems Hardware Efficiency 64

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

Dynatrace

JANUARY 16, 2023

Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors.

Open Source 340

Open Source Java Operating System Programming 340

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

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

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 storage, FIO is generally used. Storage: The system has a SATA drive for the operating system and one NVMe (Intel SSD D7-P5510 (3.84 Database: MySQL 8.0.31

Performance 54

Performance Benchmarking Cache Storage 54

Percona

DECEMBER 27, 2023

Most organizations are embracing DevSecOps, a term that covers processes and tooling enabling security to be integrated into the application development life cycle rather than treated as a separate process. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 82

Cloud Open Source Strategy Best Practices 82

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. Scalability comes at a price.

Cloud 57

Cloud Testing Storage DevOps 57

All Things Distributed

AUGUST 24, 2012

Werner Vogels weblog on building scalable and robust distributed systems. The AWS team launched this week Amazon Glacier , a cold storage archive service at the very low price point of $0.01 In 1997 Jim revisted his caculations with the help of Goetz Graefe , and it details the impact of 10 years of hardware and pricing progress.

Storage 108

Storage Hardware AWS Data Engineering 108

Percona

MAY 1, 2023

Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. Throughput: The throughput of an application is directly influenced by the speed at which the database can process and serve queries.

Tuning 52

Tuning Efficiency Database Performance 52

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). Under the hood, the BlueData used several enhancements to boosts the I/O performance and scalability of container-based clusters. Native frameworks. Custom schedulers.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. In contrast to the single system tablespace that holds system tables by default, general tablespaces are user-defined storage containers for multiple InnoDB tables.

Storage 90

Storage Engineering Database Hardware 90

Abhishek Tiwari

JULY 12, 2018

These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. Depending on frameworks, data processing units (a.k.a A data pipeline is a software which runs on hardware.

Latency 63

Latency Analytics Scalability Engineering 63

Scalegrid

FEBRUARY 1, 2024

However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system. Having MySQL backups for your database can speed up and simplify the recovery process. Therefore, it’s not the ideal choice if there are time or storage limitations.

Best Practices 130

Best Practices Storage Strategy Database 130

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Scalability.

Serverless 276

Serverless AWS Lambda Storage 276

All Things Distributed

AUGUST 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. All Things Distributed.

AWS 118

AWS Hardware Traffic Best Practices 118

Scalegrid

JANUARY 8, 2024

Key Takeaways Multi-cloud involves using services from multiple cloud providers to gain flexibility and reduce vendor lock-in, while hybrid cloud combines private and public cloud resources to balance control and scalability. 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

Scalegrid

DECEMBER 6, 2023

Database as a Service (DBaaS) providers are an alternative option that acts almost like going on a cruise ship: quick provisioning is facilitated by them, while scalability, support services, and flexibility benefit from pay-as-you-go models. They also come with some drawbacks—high costs and resources needed for successful management.

Database 130

Database Cloud Hardware Storage 130

All Things Distributed

SEPTEMBER 6, 2013

Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands. Essent – supplies customers in the Benelux region with gas, electricity, heat and energy services.

Cloud 129

Cloud Energy AWS Healthcare 129

All Things Distributed

APRIL 5, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Jack: After years of seeing teachers struggle to share the web with their classroom, Edmodo founders Nic Borg and Jeff OHara knew there was a need for a highly scalable, secure social network targeted at K-12. All Things Distributed. Comments (). hands freeÃ?

Innovation 146

Innovation AWS Education Network 146

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Additionally, many high-end HPC applications take advantage of knowing their in-house hardware platforms to achieve major speedup by exploiting the specific processor architecture. All Things Distributed. By Werner Vogels on 12 July 2010 05:00 PM. Comments ().

Cloud 118

Cloud AWS Automotive Latency 118

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. This is not a new concept, as given in the description for the earlier TPC-B workload “ a transaction monitor can multiplex transaction streams to match the processing profile of the database subsystem.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 90

Database Hardware Open Source Strategy 90

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. Refer to innodb_redo_log_capacity below.

Performance 127

Performance Hardware Tuning Storage 127

Percona

OCTOBER 18, 2023

It’s a complex process involving various factors and meticulous planning. Today, we’ll be taking a deep dive into the intricacies of database migration, along with specific solutions to help make the process easier. In this section, we’ll outline the essential steps involved in migrating to open source databases.

Open Source 94

Open Source Database Hardware Strategy 94

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

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

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. With the significant growth of container management software and services, enterprises need to find ways to simplify the process. Easy scalability. Process portability. million in 2020. CaaS vs. FaaS.

Serverless 216

Serverless Azure Hardware Transportation 216

Percona

FEBRUARY 24, 2023

Usage reduction is a continuous process. From AWS documentation , Amazon EBS is an easy-to-use, scalable, high-performance block-storage service designed for Amazon EC2. Figure 2: Amazon Elastic Block Storage Running relational or NoSQL databases is one of the use cases where EBS is recommended for.

Cloud 121

Cloud Serverless AWS Storage 121

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

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. Encryption Backups have sensitive data, so it’s highly recommended to encrypt, especially for offsite storage.

Best Practices 80

Best Practices Storage Strategy Database 80

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. Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability. JavaScript frameworks JavaScript frameworks like React, Angular, and Vue.js

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

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. It also supports the flexibility and scalability of the database infrastructure.

Availability 110

Availability Database Open Source Hardware 110

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . driver: intel_pstate CPUs which run at the same hardware frequency: 0 .

Best Practices 40

Best Practices Scalability Performance C++ 40