Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. When it comes to performance, you shouldn’t be stingy. On design systems, UX, web performance and CSS/JS. Active Memory Caching. Using the cache as permanent storage is an anti-pattern.

Cache 125

Cache Performance Servers Social Media 125

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Java, Go, and Node.js

Open Source 340

Open Source Java Operating System Programming 340

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. DBMS enhances data security with encryption, implements various access controls, and enables improved data sharing and concurrent access, thus facilitating quick response to changes and maintaining consistent database accuracy.

Efficiency 147

Efficiency Storage Database Scalability 147

HammerDB

APRIL 19, 2023

Predicting application performance is a difficult art, but an important one when choosing the target deployment environment. Among the different components of modern software solutions, the database is one of the most critical. For storage, FIO is generally used. We will not concern ourselves with the raw throughput of workload.

Performance 54

Performance Benchmarking Cache Storage 54

Percona

FEBRUARY 15, 2023

Bloom filters are an essential component of an LSM-based database engine like MyRocks. For good performance, the filter blocks are cached in the RocksDB block cache and normally stay there since they are accessed frequently. Bloom filter is an important feature improving performance of LSM storage engines.

Storage 129

Storage Tuning Cache Engineering 129

The Morning Paper

JUNE 16, 2019

Towards multiverse databases Marzoev et al., The central idea behind multiverse databases is to push the data access and privacy rules into the database itself. With multiverse databases, each user sees a consistent “parallel universe” database containing only the data that user is allowed to see.

Database 90

Database Cache Benchmarking Efficiency 90

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment.

Monitoring 101

Monitoring Scalability Cache Database 101

Scalegrid

NOVEMBER 23, 2023

Imagine a world where your PostgreSQL® database connections are seamless and secure. Key Takeaways Understanding PostgreSQL hostname is essential for successful database connections. Configure the PostgreSQL hostname by editing configuration files and restarting the server, with secure storage of connection details to enhance security.

Database 130

Database Servers Storage Network 130

Percona

JULY 25, 2023

When a new node joins the cluster, SST is performed to receive the data from DONOR to the JOINER. Percona XtraBackup performs crash recovery on the files to make a consistent, usable database again. The redo apply phase wouldn’t make the database consistent with respect to a transaction. ibd2sdi data/test/t1.ibd

Cache 87

Cache Benchmarking Servers Design 87

All Things Distributed

SEPTEMBER 20, 2013

Traditionally records in a database were stored as such: the data in a row was stored together for easy and fast retrieval. Combined with the rise of data warehouse workloads, where there is often significant redundancy in the values stored in columns, and database models based on column oriented storage took off.

Storage 87

Storage Hardware Cache C++ 87

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

SQL Server According to Bob

NOVEMBER 8, 2016

Note: We received feedback that there was some confusion on us calling this functionality “tail of the log caching” because our documentation and prior history has referred to the tail of the log as the portion of the hardened log that has not been backed up. Block storage is what you think of today as disk access.

Cache 40

Cache Servers Media Storage 40

n0derunner

DECEMBER 18, 2018

How to improve large DB read performance by 2X. a 10TB database with 20% hot data) we observe a 2X improvement in throughput for random access across the 2TB hot dataset. a 10TB database with 20% hot data) we observe a 2X improvement in throughput for random access across the 2TB hot dataset. Nutanix AOS 5.10

Performance 40

Performance Cache Hardware Storage 40

SQL Performance

NOVEMBER 18, 2019

IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. The various types are: General purpose – Balanced CPU-to-memory ratio, small to medium databases. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics.

Azure 76

Azure Benchmarking Storage Virtualization 76

The Morning Paper

AUGUST 29, 2019

We group the DBMS design choices and tradeoffs into three broad categories, which result from the need for dealing with (A) external storage; (B) query executors that are spun on demand; and (C) DBMS-as-a-service offerings. InS does now offer an NVMe variant too, and the authors perform limited testing on that as well. Key findings.

Architecture 76

Architecture Cloud Storage Serverless 76

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis and Memcached both provide high performance with sub-millisecond response times. Choosing between Redis and Memcached hinges on specific application requirements.

Cache 130

Cache Storage Scalability Architecture 130

Percona

JUNE 4, 2023

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.

Open Source 52

Open Source Servers Storage Scalability 52

n0derunner

JULY 23, 2019

As the DB continues to run on the new host – the Nutanix storage detects the access patterns and “localizes” the data that the DB is accessing. Many different queries are executing in parallel, some hitting RAM cache, some hitting storage. The post Impact of Data locality on DB workloads.

Benchmarking 76

Benchmarking Storage Tuning Cache 76

Dynatrace

OCTOBER 15, 2021

OpenTelemetry (also referred to as OTel) is an open-source observability framework made up of a collection of tools, APIs, and SDKs, that enables IT teams to instrument, generate, collect, and export telemetry data for analysis and understand software performance and behavior. This occurs once data is safely stored within a local cache.

Open Source 216

Open Source Metrics Cloud Transportation 216

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

All Things Distributed

AUGUST 22, 2011

Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Amazon ElastiCache handles the complexity of creating, scaling and managing an in-memory cache to free up brainpower for more differentiating activities. Driving Storage Costs Down for AWS Customers.

Cloud 117

Cloud Cache AWS Storage 117

The Morning Paper

MARCH 10, 2020

So if you want to design a system that will offer good real-world performance, it’s really useful to have benchmarks that accurately represent real-world workloads. This benchmark can synthetically generate more precise key-value queries that represent the reads and writes of key-value stores to the underlying storage system.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. REDIS for caching. Robert’s AWS & EKS admin team are monitoring most services with that capability but found it beneficial for them to have Dynatrace monitor Elastic File Storage (EFS). Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Percona

MARCH 23, 2023

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Although there have been many blogs about adjusting MySQL variables for better performance since then, I think this topic deserves a blog update since the last update was a decade ago, and MySQL 5.7

Performance 127

Performance Hardware Tuning Storage 127

The Netflix TechBlog

OCTOBER 15, 2019

caching (Memcached etc.), Existing Solutions Dual Writes In order to keep two datastores in sync, one could perform a dual write, which is executing a write to one datastore following a second write to the other. In general, the separate life cycles of storage and broker greatly reduce the impact of broker replacement.

Transportation 192

Transportation Architecture Processing Storage 192

Smashing Magazine

JANUARY 15, 2019

How Improving Website Performance Can Help Save The Planet. How Improving Website Performance Can Help Save The Planet. The Green Web Foundation maintains an ever-growing database of web hosts who are either wholly powered by renewable energy or are at least committed to being carbon neutral. Jack Lenox. Sustainable Web Design.

Website Performance 73

Website Performance Website Energy Performance 73

Percona

MAY 6, 2024

Since Valkey (a fork of Redis) is around the corner, I thought to write a short blog post about some of the configuration parts, mainly discussing how to dynamically change certain settings and persist those inside the configuration file.Disk persistenceLet me start with a very important setting, which is “SAVE,” that helps in performing (..)

Performance 94

Performance Cache Hardware Storage 94

Smashing Magazine

SEPTEMBER 20, 2021

Even if none of the page content is delivered from your platform or servers, so long as the JavaScript code you are using for analytics or performance tracking loads, you can still get data about the page view. Search Engine And Web Archive Cached Results. Turning The Data Into Information. Large preview ). Large preview ).

Website 89

Website Analytics Google Cache 89

Randon ASCII

SEPTEMBER 8, 2019

The fact that this shows up as CPU time suggests that the reads were all hitting in the system cache and the CPU time was the kernel overhead (note ntoskrnl.exe on the first sampled call stack) of grabbing data from the cache. Now that we suspect file I/O it’s necessary to go to Graph Explorer-> Storage-> File I/O.

Latency 79

Latency Cache Programming Operating System 79

The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision. Coordinators that don’t want to pay contractors?

Blockchain 94

Blockchain Internet Internet IoT 94

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Key Takeaways Redis® monitoring is essential for safeguarding performance, reliability, and security.

Strategy 130

Strategy Monitoring Latency DevOps 130

Smashing Magazine

NOVEMBER 2, 2021

Users who opened a PWA from a smartphone’s browser might even not be aware that they’re using a progressive web app, assuming that it’s just a well-performing site. On the contrary, a native application of an e-commerce store can come at 30, 50, or even 100 MB and up, consuming internal device storage. Image credit: Apivita.

Code 74

Code Cache Retail Mobile 74

Percona

MAY 2, 2023

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks.

Best Practices 52

Best Practices Database Storage Servers 52

Percona

AUGUST 10, 2018

The performance of a PostgreSQL database can be compromised by dead tuples, since they continue to occupy space and can lead to bloat. Now, though, it’s time to look at autovacuum for postgres, and the internals you to know to maintain a high performance PostgreSQL database needed by demanding applications.

Tuning 45

Tuning Cache Database Storage 45

SQL Performance

MAY 16, 2019

Achieving minimal logging using INSERT.SELECT into an empty clustered index target is not quite as simple as described in the Data Performance Loading Guide. The Data Loading Performance Guide contains a high-level summary of the conditions required for minimal logging into clustered tables: This post is concerned with the top row only.

Cache 67

Cache Servers Testing Storage 67

Percona

FEBRUARY 1, 2023

PostgreSQL is a fantastic database, but if you’re storing images, video, audio files, or other large data objects, you need to “toast” them to get optimal performance. This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability.

Storage 93

Storage Scalability Strategy Performance 93