VoltDB

JULY 10, 2018

As the complexity of applications and systems increases, the size of the teams that work on these also increase. In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. In these use cases, data processing usually has less than a 5 milliseconds latency budget.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

As the complexity of applications and systems increases, the size of the teams that work on these also increase. In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. In these use cases, data processing usually has less than a 5 milliseconds latency budget.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

APRIL 25, 2024

To move as fast as they can at scale while protecting mission-critical data, more and more organizations are investing in private 5G networks, also known as private cellular networks or just “private 5G” (not to be confused with virtual private networks, which are something totally different). billion in 2022. billion, growing 48.2%

Network 52

Network IoT Wireless Infrastructure 52

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

ScaleOut Software

JULY 19, 2021

How are we managing the torrent of telemetry that flows into analytics systems from these devices? Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. The list goes on. The Limitations of Today’s Streaming Analytics.

IoT 78

IoT Analytics Big Data Architecture 78

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

OCTOBER 25, 2013

In what seems almost a previous life by now Thorsten was one of the top young professors in Distributed Systems and I had the great pleasure of working with him at Cornell in the early 90''s. What set Thorsten aside from so many other system research academics was his desire to build practical, working systems, a path that I followed as well.

Network 96

Network Latency Operating System Speed 96

Dotcom-Montior

NOVEMBER 11, 2020

In serverless architecture, when applications are developed, they are typically composed of many different services. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. Other benefits to serverless architecture include the following: Cost. Security & Privacy.

Serverless 57

Serverless Monitoring Lambda Latency 57

HammerDB

MAY 5, 2019

Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and HammerDB has no optimization whatsoever for a database running on any particular architecture. So to test I took a system with Skylake CPUs and all storage on a P4800X SSD. In the recent MySQL 8.0.16

Testing 48

Testing Tuning Latency Storage 48

Testsigma

AUGUST 24, 2020

Lack of Testability Support in Products: A test automation system is a very basic requirement for Continuous Testing. To incorporate feedback on a continuous basis, you need feedback loops in the system that can help you gather feedback in real-time. Common Challenges. Such scalability issues aren’t always noticeable in the beginning.

Testing 69

Testing Open Source Scalability Latency 69

VoltDB

DECEMBER 8, 2017

Virtualization of appliances and systems is seen as a necessary step to add the agility to meet these increasing and evolving service demands. Microservices architecture has emerged over the last few years as a way to address these large scale engineering challenges. These answers have been edited for clarity and grammar.

Latency 40

Latency Virtualization Cloud Software Engineering 40

VoltDB

DECEMBER 8, 2017

Virtualization of appliances and systems is seen as a necessary step to add the agility to meet these increasing and evolving service demands. Microservices architecture has emerged over the last few years as a way to address these large scale engineering challenges. These answers have been edited for clarity and grammar.

Latency 40

Latency Virtualization Cloud Software Engineering 40

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40

Abhishek Tiwari

JULY 12, 2018

In a nutshell, a data pipeline is a distributed system. Processing latency is minimum If only you can infinitely scale your data pipeline, processing latency can be guaranteed to be minimum, but we know for sure that is not true. Testing Hell Testing and quality assurance with data pipeline is a nightmare.

Latency 63

Latency Analytics Scalability Engineering 63

O'Reilly

DECEMBER 2, 2019

I don’t need more bandwidth for video conferences or movies, but I would like to be able to download operating system updates and other large items in seconds rather than minutes. There are impressive estimates for latency for 5G, but reality has a tendency to be harsh on such predictions. That’s the real promise of 5G. Mike Loukides.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. The architecture usually integrates several private, public, and on-premises infrastructures. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Netflix TechBlog

SEPTEMBER 24, 2021

Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram. Lastly, the packager kicks in, adding a system layer to the asset, making it ready to be consumed by the clients.

Cloud 237

Cloud Media Storage Cache 237

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

Serverless 241

Serverless Efficiency Lambda Azure 241

Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. For instance, scatter/gather pattern can be used to implement a MapReduce like batch processing architecture on top of Kubernetes.

Big Data 63

Big Data Storage Benchmarking Hardware 63

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. Login & Authentication: Systems that verify user credentials and maintain session-specific data.Â

Architecture 52

Architecture Performance Internet Internet 52

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. Login & Authentication: Systems that verify user credentials and maintain session-specific data.

Architecture 52

Architecture Performance Internet Internet 52

The Netflix TechBlog

AUGUST 29, 2023

To improve availability, we designed systems where components could fail separately and avoid single points of failure. The abstractions that Eureka provides for this are Virtual IPs (VIPs) for insecure communication, and Secure VIPs (SVIPs) for secure. This means the clusters that a service communicates with will change over time.

Traffic 220

Traffic Latency Cloud C++ 220

Dynatrace

MAY 27, 2021

It keeps application processing closer to the data to maintain higher bandwidth and lower latencies, adheres to compliance regulations that don’t yet approve cloud managed services, and allows data center capital investments to be fully amortized before moving to the cloud. AWS System Manager. Getting started.

AWS 131

AWS IoT Virtualization Infrastructure 131

Scalegrid

OCTOBER 17, 2019

On modern Linux systems, the difference in overhead between forking a process and creating a thread is much lesser than it used to be. Moving to a multithreaded architecture will require extensive rewrites. The PostgreSQL Architecture | Source. The Connection Pool Architecture.

Architecture 200

Architecture Database Latency Servers 200

The Netflix TechBlog

MAY 5, 2021

In the future posts, we will do an architectural deep dive into the several components of Netflix Drive. Netflix Drive relies on a data store that will be the persistent storage layer for assets, and a metadata store which will provide a relevant mapping from the file system hierarchy to the data store entities.

Media 174

Media Storage Architecture Cloud 174

Scalegrid

JULY 29, 2020

In our previous posts in this series, we spoke at length about using PgBouncer and Pgpool-II , the connection pool architecture and pros and cons of leveraging one for your PostgreSQL deployment. However, these must be set up outside the PostgreSQL system, while PgBouncer can offload this to the PostgreSQL server. Administration.

Benchmarking 246

Benchmarking Database Performance Testing Availability 246

All Things Distributed

MARCH 26, 2018

A concept that has changed infrastructure architecture is now at the core of both AWS and customer reliability and operations. Powering the virtual instances and other resources that make up the AWS Cloud are real physical data centers with AWS servers in them. One is that the latency within a zone is incredibly fast.

AWS 132

AWS Latency Lambda Architecture 132

IO River

NOVEMBER 2, 2023

However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five minutes of downtime per year, which means the system is almost always operational.

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five minutes of downtime per year, which means the system is almost always operational.

Availability 52

Availability Social Media Traffic Games 52

All Things Distributed

MARCH 11, 2016

Build evolvable systems. The expectation was that with each order or two of magnitude, we would need to revisit and revise the architecture to make sure we could address the issues of scale. We needed to build such an architecture that we could introduce new software components without taking the service down. Automation is key.

AWS 144

AWS Hardware Retail Virtualization 144

Alex Russell

MAY 9, 2022

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Only teams that master their systems can make intentional trade-offs.

Performance 86

Performance Latency Metrics Engineering 86

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100.

Best Practices 52

Best Practices Design Tuning Database 52

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 122

Traffic Scalability Database Servers 122

All Things Distributed

SEPTEMBER 3, 2013

Choosing your database architecture may be the most critical decision you’ll make and has a disproportionate impact on the performance, scalability, and availability of your app. No single database architecture or solution can meet all of Amazon.com’s or our customers’ needs.

Cache 129

Cache Cloud Performance Retail 129