Uber Engineering

MAY 2, 2024

Learn how Uber serves over 40 million reads per second from its in-house, distributed database built on top of MySQL using an integrated caching solution: CacheFront.”

Cache 81

Cache Storage Database 81

VoltDB

MARCH 21, 2024

The most obvious and common way this happens is when companies try to evolve their caches into a data platform that can, for example, be used as highly available enterprise key-value stores for volatile data. Let’s look at a typical scenario involving the javax cache API, also known as JSR107. How hard can it be?

Cache 52

Cache Database Storage Availability 52

n0derunner

AUGUST 12, 2024

Sometimes we want to read from the Linux cache rather than the underlying device. In my case I wanted to experiment with NUMA effects on cached reads. Longer Version By default ,if using a filesystem … The post reading from Linux cache with fio appeared first on n0derunner.

Cache 40

Cache Storage Performance 40

DZone

AUGUST 4, 2022

The host offered browser caching advantages, better stability, and storage on fast edge servers across strategic geolocations. The idea has been that a CDN has fast edge servers that cache content and deliver it based on the user’s geolocation. Not only did it have performance benefits, but it was also convenient for developers.

Cache 305

Cache Tuning Storage Website 305

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. Snowflake is a data warehouse designed to overcome these limitations, and the fundamental mechanism by which it achieves this is the decoupling (disaggregation) of compute and storage. joins) during query processing. Disaggregation (or not).

Storage 112

Storage Engineering Cache Serverless 112

The Netflix TechBlog

NOVEMBER 12, 2024

After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods. Best Effort Regional Counter This type of counter is powered by EVCache , Netflix’s distributed caching solution built on the widely popular Memcached.

Latency 224

Latency Cache Infrastructure Strategy 224

The Netflix TechBlog

OCTOBER 8, 2024

Flexible Storage : The service is designed to integrate with various storage backends, including Apache Cassandra and Elasticsearch , allowing Netflix to customize storage solutions based on specific use case requirements. Note : With Cassandra 4.x

Latency 236

Latency Storage Traffic Tuning 236

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Architecture Scalability 130

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 294

Storage Cache Metrics Database 294

The Netflix TechBlog

SEPTEMBER 24, 2021

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 240

Cloud Media Storage Cache 240

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 93

Storage Scalability Strategy Performance 93

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

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 198

Storage Database Network Metrics 198

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

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 129

Tuning Cache Storage Database 129

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 219

Artificial Intelligence Storage Analytics Government 219

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 291

Serverless AWS Lambda Storage 291

The Netflix TechBlog

MARCH 10, 2023

are stored in secure storage layers. Amsterdam is built on top of three storage layers. To avoid the ES query for the list of indices for every indexing request, we keep the list of indices in a distributed cache. It is also responsible for asset discovery, validation, sharing, and for triggering workflows.

Strategy 262

Strategy Cache Storage Analytics 262

The Netflix TechBlog

SEPTEMBER 10, 2024

KeyValue is an abstraction over the storage engine itself, which allows us to choose the best storage engine that meets our SLO needs. The DeviceToDeviceManager is also responsible for observability, with metrics around cache hits, calls to the data store, message delivery rates, and latency percentile measurements.

Latency 228

Latency Cache Tuning Efficiency 228

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 350

Open Source Java Operating System Programming 350

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 130

Storage Tuning Cache Engineering 130

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

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

The Netflix TechBlog

MARCH 8, 2021

They could need a GPU when doing graphics-intensive work or extra large storage to handle file management. Instead, we created a service to take the most popular configurations and cache them. We rely on our internal partner teams to support components installed on the workstation, such as storage and artist tools.

Entertainment 307

Entertainment Storage Hardware Open Source 307

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.

Cache 128

Cache Performance Servers Architecture 128

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

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

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 91

Hardware C++ Storage Cache 91

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

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 107

Storage Cache Performance 107

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 73

Storage Hardware Cache C++ 73

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 128

Performance Hardware Tuning Storage 128

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 137

Tuning Cache Servers Benchmarking 137

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 209

Best Practices Mobile Metrics Performance 209