The Netflix TechBlog

MAY 4, 2023

When undertaking system migrations, one of the main challenges is establishing confidence and seamlessly transitioning the traffic to the upgraded architecture without adversely impacting the customer experience. It helps expose memory leaks, deadlocks, caching issues, and other system issues.

Traffic 339

Traffic Latency Tuning Systems 339

Smashing Magazine

SEPTEMBER 28, 2022

Developing software is becoming easier as frameworks like React, Vue, or Angular become the go-to solution for creating even the simplest applications. 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.

Cache 127

Cache Performance Servers Social Media 127

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. using Compute Express Link or CXL), organizing memory components for optimal performance, adapting system software traditionally designed for homogeneous memory systems, and developing memory abstractions and programming constructs for HCM management.

Latency 52

Latency Hardware Cache Architecture 52

High Scalability

DECEMBER 18, 2018

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast. Please apply here. Apply here. Need excellent people?

Healthcare 122

Healthcare Best Practices DevOps Cache 122

O'Reilly Software

DECEMBER 11, 2017

A message-based microservices architecture offers many advantages, making solutions easier to scale and expand with new services. The asynchronous nature of interservice interactions inherent to this architecture, however, poses challenges for user-initiated actions such as create-read-update-delete (CRUD) requests on an object.

Architecture 68

Architecture Government Latency Efficiency 68

Tech News Gather

JULY 18, 2023

Healthcare app development – the necessity today Healthcare apps are software applications installed on computers and handheld devices like mobile phones, and wearables to provide several health-related services. The web apps built on this platform are easy to use, secure, scalable, and flexible.

Healthcare 52

Healthcare Social Media Development Artificial Intelligence 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

O'Reilly Software

DECEMBER 7, 2017

For stack scalability, elasticity at the business logic layer should be matched with elasticity at the caching layer. Continue reading How to bring fast data access to microservice architecture with in-memory data grids. This use comes with expectations of real-time response, even during peak access times. ?

Architecture 59

Architecture Cache Mobile Scalability 59

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

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. However, telematics architectures face challenges in responding to telemetry in real time. Current Telematics Architecture. Challenges for Current Architectures.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

The Netflix TechBlog

NOVEMBER 3, 2022

The original assumptions and architectural choices were no longer viable. 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. How do I know that my cache is up to date?

Cache 224

Cache Latency Traffic Systems 224

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. The Challenges with Parallel Queries.

Analytics 52

Analytics Airlines Cache Scalability 52

O'Reilly Software

JUNE 12, 2018

The benefits of modeling data as events as a mechanism to evolve our software systems. In fact, before we even had the word microservices in our lexicon, back when it was just good old-fashioned service-oriented architecture, we were talking about data: how to access it, where it lives, who “owns” it.

Database 72

Database Cache Architecture Latency 72

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. The Challenges with Parallel Queries.

Analytics 52

Analytics Airlines Cache Scalability 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

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

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. Teams can measure the performance of all application dependencies, including databases, web services, caching, and more.

Strategy 72

Strategy Metrics Monitoring Servers 72

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Often these namespaces are hierarchical in nature such that it becomes easier to manage them and to decentralize control, which makes the system more scalable. There are two main types of DNS servers: authoritative servers and caching resolvers.

Cloud 117

Cloud Internet Internet AWS 117

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 273

Serverless AWS Lambda Storage 273

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. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

High Scalability

JULY 20, 2018

That’s mapping applications to the specific architectural choices. The third wing of the architecture piece is the “domain specific system-on-chip.” That means multiple data indirections mean multiple cache misses. Investing tons of efforts into IT, building complicated deployment and clustering software etc.

Internet 121

Internet Internet Scalability Automotive 121

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Netflix TechBlog

MAY 19, 2023

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. As you’d suspect, this would jeopardize one of the pillars of the system: its ability to scale.

Cache 249

Cache Google Open Source Systems 249

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

Sutter's Mill

JUNE 10, 2010

I’ll cover the following topics: Fundamentals: Define basic concurrency goals and requirements • Understand applications’ scalability needs • Key concurrency patterns. Consistency — Don’t Corrupt Shared State: The many pitfalls of locks–deadlock, convoys, etc. Migrating Existing Code Bases to Use Concurrency.

Best Practices 40

Best Practices Scalability Cache Architecture 40

Percona

JULY 17, 2023

MongoDB Community Edition software might set the stage for achieving your high-volume database goals, but you quickly learn that its features fall short of your enterprise needs. So you look at MongoDB Enterprise software, but its costly and complex licensing structure does not meet your budget goals.

Open Source 75

Open Source Database Scalability Software 75

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. Examples include a spike in memory utilization, a decrease in cache hit ratio, or an increase in CPU utilization. DevOps practitioners struggle to maintain highly available and scalable applications. Dynatrace news.

Monitoring 213

Monitoring Metrics DevOps Scalability 213

Percona

MAY 15, 2023

Normally this solution requires a full code redesign and could be quite difficult to achieve when it is injected after the initial code architecture definition. As said, the last one is probably the most powerful, scalable, and difficult to design, and unfortunately, it represents probably less than 5% of the solution currently deployed.

Traffic 123

Traffic Scalability Database Servers 123

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. It also supports the flexibility and scalability of the database infrastructure.

Availability 107

Availability Database Open Source Hardware 107

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

Highly Scalable

AUGUST 20, 2013

The whole point of this section is that all the algorithms above can be naturally implemented using a message passing architectural style i.e. the query execution engine can be considered as a distributed network of nodes connected by the messaging queues. Marz, “Big Data Lambda Architecture”. Jacobsen and R. Lyons, “The Sliding DFT“.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. Amazon Redshift) and Elasticsearch machines. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

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. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

MAY 15, 2014

We have spent a great deal of time at ScaleOut Software re-architecting our in-memory data grid (IMDG)’s code base to make best use of many cores and large memory. During load-balancing, the client gets the following exception when accessing the cache: ErrorCode<ERRCA0017>:SubStatus<ES0006>:There is a temporary failure.

Cache 40

Cache Servers Network Design 40

The Morning Paper

JUNE 25, 2019

A far memory data structure has: far data in far memory, containing the core content of the data structure data caches at clients algorithms for operations. Processor caches can help to hide local accesses too, but not remote accesses. Clients cache the entire tree, but not the hash tables. Refreshable vectors. A worked example.

Design 80

Design Cache Hardware Scalability 80