Dynatrace

JANUARY 16, 2023

Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. The different infrastructure setup reflects economic and technical considerations.

Open Source 343

Open Source Java Operating System Programming 343

The Netflix TechBlog

MARCH 5, 2019

the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more). A majority of the Netflix product features are either partially or completely dependent on one of our many micro-services (e.g.,

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

cdemi

MAY 8, 2016

Applications that rely heavily on a data-store usually can benefit greatly from using the Cache-Aside Pattern. If used correctly, this pattern can improve performance and help maintain consistency between the cache and the underlying data store. If the item exists in the cache, you can use that. Lifetime of Cached Data.

Cache 54

Cache Design C++ Processing 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.

Big Data 154

Big Data Processing Lambda Database 154

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution.

Cache 52

Cache Social Media Website Performance Website 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

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

Official Blog - World Web Technology

AUGUST 27, 2023

Unlike other popular programming languages such as C or Pearl, PHP pages have HTML with embedded code with some start and end processing instructions that allow you to jump directly into and out of PHP mode. Various techniques, such as caching and optimization, improve the website’s performance and speed.

Development 98

Development Ecommerce Open Source Website 98

Percona

SEPTEMBER 1, 2023

A finely tuned database processes queries more efficiently, leading to swifter results. Scalability As your data volume and user base expand, a finely tuned database can seamlessly accommodate increased workloads without compromising performance. This can significantly elevate user satisfaction and engagement.

Tuning 52

Tuning Database Performance Hardware 52

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

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution.

Cache 52

Cache Social Media Website Performance Website 52

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

Dynatrace

APRIL 8, 2020

However, garbage collection is one of the main sources of performance and scalability issues in any modern Java application. Garbage collection is slow if most objects survive the collection process. If these objects die quickly, then you might not have a scalability issue at all, as the garbage collection will be fast.

Speed 165

Speed Code Java Lambda 165

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

HammerDB

APRIL 19, 2023

GHz 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) Up to 20% higher compute performance than z1d instances Up to 50 Gbps of networking speed Up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (EBS) We can also verify these capabilities by running some simple benchmarks on the different subsystems.

Performance 54

Performance Benchmarking Cache Storage 54

Percona

SEPTEMBER 28, 2023

Whenever you install your favorite MySQL server on a freshly created Ubuntu instance, you start by updating the configuration for MySQL, such as configuring buffer pool, changing the default datadir director, and disabling one of the most outstanding features – query cache. It’s a nice thing to do, but first things first.

Servers 112

Servers Best Practices Database Open Source 112

Percona

MAY 1, 2023

Connection pooling: Minimizing connection overhead and improving response times for frequently accessed data by implementing mechanisms for connection pooling and caching strategies. PostgreSQL performance optimization is an ongoing process involving monitoring, benchmarking, and adjustments to maintain high-performing PostgreSQL databases.

Tuning 52

Tuning Efficiency Database Performance 52

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

NOVEMBER 1, 2023

Whether it is a production server, a test environment, or a developer’s workstation, this encapsulation makes it easier to deploy MongoDB instances in a variety of scenarios, making it more portable and scalable. about to fork child process, waiting until server is ready for connections. docker-entrypoint." docker-entrypoint."

Scalability 58

Scalability Best Practices Servers Database 58

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. The current telematics architecture also has inherent scalability issues in the form of network bottlenecks. Message-processing code can incorporate a rules engine or machine learning to amplify their capabilities.

Analytics 52

Analytics Architecture Scalability Software Architecture 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

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. Query performance is measured from both warm and cold caches. Scalability. Query restrictions. Neither Spectrum nor Athena could run the full TPC-H query suite.

Architecture 76

Architecture Cloud Storage Serverless 76

Percona

DECEMBER 20, 2023

The InnoDB buffer pool acts as a powerhouse for MySQL, caching frequently accessed data and index pages in memory to accelerate query performance. In this blog post, we will go through the process of InnoDB buffer pool resizing online, covering why it is important to monitor its progress and how to monitor it.

Monitoring 86

Monitoring Code Open Source Cache 86

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

cdemi

MAY 6, 2016

I have decided to write a series on some common and modern Design Patterns that are useful in today's horizontally scalable (such as cloud-hosted) applications. Cache Aside Pattern. Applications that rely heavily on a data-store usually can benefit greatly from using the Cache-Aside Pattern. How does it work?

Design 40

Design Cache Scalability Architecture 40

Percona

JUNE 15, 2023

Processing triggers for man-db (2.9.4-2) For more information, please visit: [link] Processing triggers for man-db (2.9.4-2). Refresh the local cache to update the package information $ sudo apt update Hit:1 [link] bullseye-security InRelease Hit:2 [link] bullseye InRelease 1.5 Processing triggers for man-db (2.9.4-2).

Servers 83

Servers C++ Database Systems 83

Dynatrace

SEPTEMBER 17, 2019

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. Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway.

AWS 127

AWS Monitoring Ecommerce Lambda 127

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

Official Blog - World Web Technology

NOVEMBER 9, 2023

This smooth connection with databases makes the custom PHP web development process more manageable and makes web applications work better overall. Furthermore, PHP includes caching and opcode optimization tools that make things run even faster. The Process of Hiring Web Developers in India!

Website 59

Website Development Open Source Database 59

KeyCDN

JANUARY 23, 2020

These acronyms, which stand for real user monitoring and application performance monitoring, are software monitoring processes essential to measuring and evaluating applications in many different areas. This process should not be confused with synthetic monitoring which gathers data through synthetic transactions such as pinging a service.

Strategy 72

Strategy Metrics Monitoring Servers 72

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This process effectively duplicates essential parts of information to safeguard against potential loss.

Storage 130

Storage Systems Big Data Azure 130

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. All Things Distributed. Driving Compute Cost Down for AWS Customers. By Werner Vogels on 05 March 2012 02:01 PM. Comments ().

AWS 110

AWS Innovation Scalability Cache 110

The Netflix TechBlog

MAY 19, 2023

A cleanup process to prune stale relationships from the database. The Beginning of SpiceDB Caveats The SpiceDB community had already explored integrating SpiceDB with Open Policy Agent (OPA) and concluded it strayed too far from Zanzibar’s core promise of global horizontal scalability with strong consistency.

Cache 249

Cache Google Open Source Systems 249

KeyCDN

SEPTEMBER 12, 2019

An easy way to compress images is with our image processing service that happens to also be fully integrated into our existing network. This is useful if you want to store optimized images instead of using a real-time image processing service. The Cache Enabler plugin then delivers WebP images based to supported browsers.

Social Media 106

Social Media Media Google Website 106

All Things Distributed

NOVEMBER 26, 2013

Despite incurring these costs, given the complexity, customers could have found themselves in a situation where the restoration process does not meet their recovery time objective and/or recovery point objective. AWS provides several easy to use and cost effective building blocks to make disaster recovery very accessible to customers.

Cloud 145

Cloud AWS Traffic Latency 145

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