Smashing Magazine

SEPTEMBER 28, 2022

Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. 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 Schemes. Large preview ).

Cache 126

Cache Performance Servers Social Media 126

The Netflix TechBlog

MAY 4, 2023

The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. Once we discover and address those issues, we can use the replay testing process iteratively to bring down the mismatch percentage to an acceptable number.

Traffic 339

Traffic Latency Tuning Systems 339

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

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

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

Dynatrace

NOVEMBER 5, 2019

Dependency agent Installation – Maps connections between servers and processes. AI engine, Davis – Automatically processes billions of dependencies to serve up precise answers; rather than processing simple time-series data, Davis uses high-fidelity metrics, traces, logs, and real user data that are mapped to a unified entity.

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

The Morning Paper

AUGUST 29, 2019

My key takeaways as a TL;DR: Store your data in S3 Use portable data format that gives you future flexibility to process it with multiple different systems (e.g. For cost calculations, the costs are a combination of compute costs, storage costs, data scan costs, and software license costs. Key findings. Query restrictions.

Architecture 76

Architecture Cloud Storage Serverless 76

The Netflix TechBlog

NOVEMBER 3, 2022

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. cell): Titus Job Coordinator is a leader elected process managing the active state of the system.

Cache 224

Cache Latency Traffic Systems 224

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 is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

Percona

JUNE 4, 2023

Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process. In addition, MariaDB provides optimal scalability options, making it ideal for growing workloads. Contact us to learn more!

Open Source 52

Open Source Servers Storage Scalability 52

Percona

MAY 1, 2023

Hardware optimization : You need to ensure that the CPU, memory, and storage components meet the performance requirements of the database workload. Connection pooling: Minimizing connection overhead and improving response times for frequently accessed data by implementing mechanisms for connection pooling and caching strategies.

Tuning 52

Tuning Efficiency Database Performance 52

All Things Distributed

DECEMBER 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Jul 4 - Leases: An efficient fault-tolerant mechanism for distributed file cache consistency , Gray, Cary, and David Cheriton, Vol. Aug 17 - SEDA: An Architecture for Well-Conditioned, Scalable Internet Services , Matt Welsh, David Culler, and Eric Brewer.

Operating System 144

Operating System Cache AWS Scalability 144

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. REDIS for caching. In order to filter these dashboards by tenant all they need is a Dynatrace Management Zone , which is based on meta data extracted by Dynatrace from e.g. k8s tags, container labels or process environment variables. NGINX as an API Gateway. 3 Log Analytics.

AWS 127

AWS Monitoring Ecommerce Lambda 127

All Things Distributed

AUGUST 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. Driving Storage Costs Down for AWS Customers. All Things Distributed.

Servers 126

Servers Social Media AWS Website 126

O'Reilly Software

JUNE 12, 2018

I have to say that, when I first looked at it, Kafka seemed pretty similar to the tooling I’d been using for decades, but with a few fancy scalability properties thrown in. The log can then be used as an event store, and those events are available for other services to consume, create caches, or views, often using stream processing tooling.

Database 72

Database Cache Architecture Latency 72

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. Scalability. Finally, there’s scalability.

Serverless 280

Serverless AWS Lambda Storage 280

Percona

FEBRUARY 1, 2023

This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability. This process is done automatically and does not significantly impact how the database is used. PostgreSQL uses fixed-sized pages, which makes it challenging to store huge data values directly.

Storage 89

Storage Scalability Strategy Performance 89

All Things Distributed

MARCH 5, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Amazon ElastiCache customers will see their prices drop by up to 10%, depending on their cache node types. We continuously apply all our innovative skills to the design of datacenters, servers, storage, network, etc. All Things Distributed. Comments ().

AWS 110

AWS Innovation Scalability Cache 110

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

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

High Scalability

JULY 20, 2018

That means multiple data indirections mean multiple cache misses. jaybo_nomad : The Allen Institute for Brain Science is in the process of imaging 1 cubic mm of mouse visual cortex using TEM at a resolution of 4nm per pixel. They are very expensive. This is where your performance goes. Some say MRAM will never work in automotive.

Internet 121

Internet Internet Scalability Automotive 121

Percona

MARCH 23, 2023

As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. However, this variable has been deprecated since 8.0.30. and MariaDB 10.5.4

Performance 124

Performance Hardware Tuning Storage 124

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. This enables “here-and-now” real-time processing and dashboards as well as predictions that enable smart applications.

Scalability 130

Scalability Analytics Cache AWS 130

HammerDB

JUNE 27, 2022

The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here. An additional specification called TPC-CH for hybrid transactional/analytical processing (HTAP) is under research and development for inclusion in a future release as TPROC-CH.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

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

Percona

MAY 15, 2023

In both cases, when using virtually-synchronous replication, the process will require certification from each node and local (by node) write; as such, the number of writes is NOT distributed across multiple nodes but duplicated. As well, very few cases are in need to have a full system/solution to provide scalability with sharding.

Traffic 123

Traffic Scalability Database Servers 123

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

Percona

MAY 2, 2023

Cons of logical backups As it reads all data, it can be slow and will require disk reads too for databases that are larger than the RAM available for the WT cache—the WT cache pressure increases, which slows down the performance. Especially if going into or out of storage types that may throttle bandwidth/network traffic.

Best Practices 52

Best Practices Database Storage Servers 52

Percona

JULY 5, 2023

The principle of locality While the principle of locality is usually related to processors and cache access patterns, it also applies to data access in general. Regarding tablespace and segment fragmentation, modern storage systems tend to reduce the impact of these types of fragmentation.

Open Source 125

Open Source Database Efficiency Testing 125

The Morning Paper

SEPTEMBER 10, 2019

Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Google already has Dremel , Mesa , Photon , F1 , PowerDrill , and Spanner , so why did they need yet another data processing system? Cache all the things. are divided.

Analytics 75

Analytics Latency Cache Google 75

The Morning Paper

JUNE 23, 2019

Factor VI in the 12-factor app manifesto , “Execute the app as one or more stateless processes,” to be dropped and replaced with “Execute the app as one or more stateful processes.” session state that you want to survive an application process crash), and to keep the application server/services layer stateless.

Cache 79

Cache Latency Google Lambda 79

Smashing Magazine

JUNE 25, 2020

Today, we’ll address storing and serving files for both single-server and scalable deployments while considering factors like compression, caching, and availability. We’ll also discuss the costs and benefits of CDNs and dedicated file storage solutions. This process is easy to integrate with your Django deployment scripts.

Media 69

Media Cache Storage AWS 69

All Things Distributed

JUNE 21, 2017

Today, I'm excited to announce the general availability of Amazon DynamoDB Accelerator (DAX) , a fully managed, highly available, in-memory cache that can speed up DynamoDB response times from milliseconds to microseconds, even at millions of requests per second. DynamoDB was the first service at AWS to use SSD storage.

Speed 121

Speed Cache Latency AWS 121

Highly Scalable

APRIL 2, 2012

The rationale behind these methods is that frontend should be able to fetch transient information very efficiently and separately from fetching of heavy-weight domain entities because this information cannot be cached. So, the only way was to cache all necessary data to minimize interaction with RDBMS.

Ecommerce 100

Ecommerce Cache Storage Architecture 100