Scalegrid

FEBRUARY 1, 2024

MySQL is a popular open-source relational database management system for online applications and data warehousing. However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system.

Best Practices 130

Best Practices Storage Strategy Database 130

Scalegrid

NOVEMBER 29, 2023

In today’s rapidly evolving digital landscape, the way we manage databases is undergoing a transformative shift. The rise of Database-as-a-Service (DBaaS) is not just a trend but a strategic response to the growing complexities of data management. However, using a database as a service is not without its set of challenges.

Healthcare 130

Healthcare Hardware Database Scalability 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.

Serverless 280

Serverless AWS Lambda Storage 280

Percona

SEPTEMBER 1, 2023

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS.

AWS 52

AWS Database Serverless Storage 52

Scalegrid

JANUARY 8, 2024

Both multi-cloud and hybrid cloud models come with their advantages, like increased flexibility and secure, scalable IT infrastructure but face challenges such as management complexity and integration issues. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail? What is Multi-Cloud?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Percona

FEBRUARY 24, 2023

In the Home Dashboard of PMM, a low CPU utilization on any of the database services that are being monitored could mean that the server is inactive or over-provisioned. Over-provisioned instances may lead to unnecessary infrastructure costs. Marked in red in Figure 1 is a server with less than 30% of CPU usage.

Cloud 122

Cloud Serverless AWS Storage 122

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., In databases you probably know it as stored procedures. Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " SoCC’19. "Narrowing

Serverless 99

Serverless Storage Latency Cloud 99

Percona

AUGUST 22, 2023

Estimates vary, but most reports put the average cost of unplanned database downtime at approximately $300,000 to $500,000 per hour, or $5,000 to $8,000 per minute. With so much at stake, database high availability and fault tolerance have become must-have items, but many companies just aren’t certain which one they must have.

Availability 80

Availability Hardware Open Source Database 80

Scalegrid

JULY 13, 2020

Oracle Database is a commercial, proprietary multi-model database management system produced by Oracle Corporation, and the largest relational database management system (RDBMS) in the world. While Oracle remains the #1 database on the market, its popularity has steadily declined by over 18% since 2013. Not available.

Open Source 244

Open Source Tuning C++ Database 244

Scalegrid

DECEMBER 21, 2023

Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

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

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. This blog highlights considerations for keeping your own PostgreSQL databases highly available and healthy. The same changes made in the primary database are made in the replicas.

Availability 85

Availability Open Source Architecture Database 85

Percona

DECEMBER 27, 2023

of respondents are currently utilizing databases in Kubernetes (k8s). These indicators suggest that the adoption of databases on k8s is in its early stages and is likely to continue growing in the future. Oftentimes, it is a pillar of modern infrastructure strategy to avoid cloud vendor lock-in.

Cloud 83

Cloud Open Source Strategy Best Practices 83

Percona

SEPTEMBER 1, 2023

Database architects working with MongoDB encounter specific challenges related to database systems and system growth. Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. mongos --configdb <configReplSetName>/<cfg1.example.net:27019>,<cfg2.example.net:27019>,<cfg3.example.net:27019>

Best Practices 73

Best Practices Traffic Database Servers 73

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources.

Monitoring 199

Monitoring Serverless Programming Speed 199

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario. Esv3-series.

Azure 72

Azure Virtualization Servers Storage 72

Percona

AUGUST 29, 2023

Among its many capabilities, a Citus cluster can: Create distributed tables that are sharded across a cluster of PostgreSQL nodes to combine their CPU, memory, storage, and I/O capacity. Columnar storage of tables can compress data, speeding up scans and supporting fast projections, both on regular and distributed tables.

C++ 81

C++ Database Storage Testing 81

Percona

APRIL 17, 2023

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. The Linux default is usually 60 , which is not ideal for database usage. Spoiler alert: This post focuses on MongoDB 3.6.X

Best Practices 52

Best Practices Design Tuning Database 52

SQL Server According to Bob

DECEMBER 18, 2018

Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. Microsoft SQL Server Database Engine Input/Output Requirements. Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system.

Servers 90

Servers Media Cache Storage 90

The Morning Paper

FEBRUARY 18, 2020

Here are the three big directional bets that align with the three main areas cited by the authors: We will train in the cloud , where its possible to take advantage of managed infrastructure well suited to large amounts of data, spiky resource usage, and access to the latest hardware. Data management.

Government 95

Government Software Engineering Storage Database 95

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

Dynatrace

AUGUST 5, 2019

For our migration projects, we simply roll out Dynatrace OneAgents on the existing infrastructure. Database & functional migration. Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Step 4: Smart Database Migration.

Cloud 31

Cloud Traffic Database Network 31

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

APRIL 5, 2012

One of the services that is very successful in driving innovation at our customers in this context is Amazon RDS , the Relational Database Service. Amazon RDS removes the headaches of running a relational database service reliably at scale, allowing Amazon RDS customers to focus on innovation for their customers. hands freeÃ?

Innovation 146

Innovation AWS Education Network 146

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. The initial implementation was removed from Blink post-fork and re-implemented on new infrastructure several years later. is access to hardware devices. Some commenters appear to confuse unlike hardware for differences in software. Where Chrome Has Lagged.

Media 145

Media Games Education Engineering 145

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. The second team is the software platform team, who provide standardized supported libraries, bundled open source projects, packaged commercial software, operating systems, build pipelines, language runtimes, databases, external high level services etc.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. The second team is the software platform team, who provide standardized supported libraries, bundled open source projects, packaged commercial software, operating systems, build pipelines, language runtimes, databases, external high level services etc.

Latency 53

Latency Engineering Systems Hardware 53

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. In 2016, Jio swept over the subcontinent like a monsoon dropping a torrent of 4G infrastructure and free data rather than rain. Hardware Past As Performance Prologue. The Moto G4 , for example.

Performance 124

Performance Network Cache Metrics 124

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Werner Vogels weblog on building scalable and robust distributed systems.

Scalability 167

Scalability Database Ecommerce Latency 167

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

OCTOBER 8, 2014

The best part is that we are also significantly expanding the free tier many of you already enjoy by increasing the storage to 25 GB and throughput to 200 million requests per month. More than a decade ago, Amazon embarked on a mission to build a distributed system that challenged conventional methods of data storage and querying.

Availability 145

Availability Performance Scalability AWS 145

Smashing Magazine

JANUARY 6, 2020

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Gatsby (React), Vuepress (Vue) Preact CLI , and PWA Starter Kit provide reasonable defaults for fast loading out of the box on average mobile hardware. ??Also,

Performance 145

Performance Cache Network Metrics 145

All Things Distributed

NOVEMBER 15, 2010

The early GPU systems were very vendor specific and mostly consisted of graphic operators implemented in hardware being able to operate on data streams in parallel. Programming the GPU evolved in a similar fashion; it started with the early APIs being mainly pass-through to the operations programmed in hardware. Syndication.

AWS 136

AWS Latency Programming Architecture 136

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