The Netflix TechBlog

APRIL 27, 2023

While Atlas is architected around compute & storage separation, and we could theoretically just scale the query layer to meet the increased query demand, every query, regardless of its type, has a data component that needs to be pushed down to the storage layer.

Storage 288

Storage Cache Metrics Database 288

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. 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. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. 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. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

Percona

FEBRUARY 1, 2023

This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability. Therefore, TOAST is a storage technique used in PostgreSQL to handle large data objects such as images, videos, and audio files.

Storage 95

Storage Scalability Strategy Performance 95

High Scalability

JANUARY 11, 2022

Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity. Fetching User Feed. Sample Queries supported by Graph Database. Optimization.

Design 334

Design Media Storage Logistics 334

DZone

OCTOBER 11, 2022

Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). Email Reveals Google App Engine Search API About Ready For Preview Release, Charges Planned For Storage, Operations ( TechCrunch). Why haven’t cash-strapped American schools embraced open source? Hacker News). Java EE 7 is Final.

Java 244

Java Best Practices Google Analytics 244

Dynatrace

AUGUST 1, 2022

Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). You quickly realize that it will take ages to fill up the overprovisioned database storage. Two days later, your database runs out of storage in the middle of the night.

Storage 183

Storage Database Network Tuning 183

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. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

APRIL 24, 2023

The more indexes, the more the requirement of memory for effective caching. Indexes need more cache than tables Due to random writes and reads, indexes need more pages to be in the cache. Cache requirements for indexes are generally much higher than associated tables.

Tuning 130

Tuning Cache Storage Database 130

n0derunner

JUNE 28, 2019

Since the DB is small (50% the size of the Linux RAM) – the database is mostly cached on the read side – so we only see writes going to the DB files. The post View from Nutanix storage during Postgres DB benchmark appeared first on n0derunner. The other is doing reads and writes from the main datafiles.

Benchmarking 75

Benchmarking Storage Cache Database 75

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Data management.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Percona

FEBRUARY 15, 2023

For good performance, the filter blocks are cached in the RocksDB block cache and normally stay there since they are accessed frequently. LSM storage engines like MyRocks are very different from the more common B-Tree-based storage engines like InnoDB.

Storage 131

Storage Tuning Cache Engineering 131

Dynatrace

JANUARY 16, 2023

Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Together with messaging systems (+36% growth), organizations are increasingly using databases and caches to persist application workload states.

Open Source 340

Open Source Java Operating System Programming 340

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

Serverless 276

Serverless AWS Lambda Storage 276

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

Scalegrid

JANUARY 5, 2024

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms. This is significant for modern business environments. <p>The </p>

Efficiency 147

Efficiency Storage Database Scalability 147

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Advanced monitoring techniques enable you to identify potential issues, such as high latency, CPU utilization, command throughput, and cache hit rate before they become major problems.

Strategy 130

Strategy Monitoring Latency DevOps 130

Smashing Magazine

SEPTEMBER 28, 2022

Active Memory Caching. When you want to get data that you already had quickly, you need to do caching — caching stores data that a user recently retrieved. Caching partially stores your data and is not used as permanent storage. Caching partially stores your data and is not used as permanent storage.

Performance 125

Performance Cache Servers Social Media 125

Percona

MARCH 28, 2023

The same data, in the form of pages inside the Wiredtiger cache, are also marked dirty. At every checkpoint interval (Default 60 seconds), MongoDB flushes the modified pages that are marked as dirty in the cache to their respective data files (both collection-*.wt This happens at every journalCommitIntervalMs. wt and index-*.wt).

Hardware 92

Hardware C++ Storage Cache 92

Percona

DECEMBER 23, 2022

I wrote this post on MyRocks because I believe it is the most interesting new MySQL storage engine to have appeared over the last few years. I decided to use a virtual machine with two CPU cores, four GB of memory, and storage limited to a maximum of 1000 IOPs of 16KB. I emulated these limits using the KVM iotune settings in my lab. <iotune>

Storage 56

Storage Cache C++ Virtualization 56

All Things Distributed

SEPTEMBER 20, 2013

Not everybody agreed that the "N-ary Storage Model" (NSM) was the best approach for all workloads but it stayed dominant until hardware constraints, especially on caches, forced the community to revisit some of the alternatives. A Decomposition Storage Model , George P. Copeland and Setrag N.

Storage 90

Storage Hardware Cache C++ 90

Dynatrace

DECEMBER 13, 2023

This includes how quickly the application loads, how much load it is putting on the device, how much storage is being used, and how frequently it crashes. This can be achieved by reducing the size of files or images, using caching, and compressing data. Optimize images and videos.

Best Practices 194

Best Practices Mobile Metrics Performance 194

Percona

MARCH 23, 2023

By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Setting oom_score_adj to -800. References How MySQL 8.0.21

Performance 129

Performance Hardware Tuning Storage 129

DZone

NOVEMBER 13, 2019

Improve your Spark memory. In the previous tutorial , we demonstrated how to get started with Spark and Alluxio. To share more thoughts and experiments on how Alluxio enhances Spark workloads, this article focuses on how Alluxio helps to optimize the memory utilization of Spark applications.

Storage 113

Storage Cache Performance 113

Percona

APRIL 7, 2023

But since retrieving data from disk is slow, databases tend to work with a caching mechanism to keep as much hot data, the bits and pieces that are most often accessed, in memory. In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 138

Tuning Cache Servers Benchmarking 138

Percona

JULY 25, 2023

After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Initializing a DD engine and the cache adds complexity and other server dependencies. Essentially LRU cache is disabled by loading the tables as non-evictable. ibd > t1.sdi

Cache 89

Cache Benchmarking Servers Design 89

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

Cache 40

Cache Servers Network Design 40

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

Smashing Magazine

MAY 25, 2022

WeakMap can be used in two areas of web development: caching and additional data storage. The result from a function can be cached so that whenever the function is called, the cached result can be reused. With caching, a copy of the result from a request is saved locally. Let’s see this in action. Additional Data.

Cache 116

Cache Programming Storage Code 116

The Morning Paper

FEBRUARY 6, 2020

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

Lambda 98

Lambda Serverless Cache Latency 98

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

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. VictoriaMetrics maintains an in-memory cache for mapping active time series into internal series IDs. 25 Bytes, or you should plan storage roughly between 500 GB – one TB for a default 30 day retention period.

Monitoring 103

Monitoring Scalability Cache Database 103

Percona

APRIL 3, 2023

Upgrade Complete - Optimizer statistics are not transferred by pg_upgrade so, once you start the new server, consider running: /analyze_new_cluster.sh Running this script will delete the old cluster's data files: /delete_old_cluster.sh Running this script will delete the old cluster's data files: /delete_old_cluster.sh

C++ 106

C++ Database Cache Storage 106

Percona

SEPTEMBER 1, 2023

Inadequate CPU, memory, or storage can lead to bottlenecks and performance degradation, so remedying these issues involves upgrading hardware or optimizing resource utilization through query and server configuration adjustments. Avoid over-indexing, which can bloat storage and slow writes.

Tuning 52

Tuning Database Performance Hardware 52

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 108

Performance Monitoring Traffic Database 108

Dynatrace

DECEMBER 20, 2021

Streamlined asset caching: Asset caching is critical for creating accurate replays. Tools that feature client-side compression can help reduce total data transfer volumes and storage footprints. To maximize ROI, make sure your provider is up-front about the costs of recording, transfer, storage, and use before making the move.

Mobile 243

Mobile Website Analytics Cache 243

Percona

JANUARY 9, 2023

NOTE : All tests were applied for MySQL version 8.0.30, and in the background, I ran every query three to five times to make sure that all of them were fully cached in the buffer pool (for InnoDB) or by the filesystem (for MyISAM). But why we can’t just cache the actual number of the rows?

Cache 80

Cache Engineering Storage Speed 80