VoltDB

JULY 10, 2018

This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. In these use cases, data processing usually has less than a 5 milliseconds latency budget. Real-World Example Problem. Real-time order management.

Architecture 40

Architecture Scalability Ecommerce Latency 40

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. Figure 2: Latency characteristics of memory technologies (source: Maruf et al.,

Latency 52

Latency Hardware Cache Architecture 52

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

Dynatrace

JULY 6, 2020

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Azure Virtual Network Gateways. Azure Batch.

Azure 151

Azure Cloud Big Data Virtualization 151

Percona

MARCH 13, 2023

Architecture To understand more about deployment procedures, we need to look a little more at Neon architecture. I prefer to test a distributed deployment where each component is placed on different servers or virtual machines, that’s why I do not put it into docker-compose.

Serverless 118

Serverless C++ Storage Latency 118

Scalegrid

JANUARY 8, 2024

AI algorithms embedded in cloud architecture automate repetitive processes, streamlining workloads and reducing the chance of human error. With a multi-cloud architecture, Scalegrid offers the flexibility and competitive edge necessary for AI applications in the rapidly evolving tech environment.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Adrian Cockcroft

AUGUST 1, 2022

photo by Adrian I gave a talk at Monitorama in Portland Oregon in June, which set out the idea that carbon is just another metric to monitor, and that in a few years most of the monitoring and performance tuning tools are going to be reporting and optimizing for carbon alongside latency, throughput, availability and cost.

AWS 52

AWS Virtualization DevOps Latency 52

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

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

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. This architecture does not apply computing resources to track the myriad data sources sending telemetry and continuously look for issues and opportunities that need immediate responses.

IoT 78

IoT Analytics Big Data Architecture 78

All Things Distributed

OCTOBER 25, 2013

In the back to basics readings this week I am re-reading a paper from 1995 about the work that I did together with Thorsten on solving the problem of end-to-end low-latency communication on high-speed networks. The lack of low-latency made that distributed systems (e.g.

Network 96

Network Latency Operating System Speed 96

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. In the recent MySQL 8.0.16 The xml is well-formed, applying configuration. hammerdb>source innodbtest1.tcl.

Testing 48

Testing Tuning Latency Storage 48

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.

Hardware 56

Hardware Latency Virtualization Cloud 56

Testsigma

AUGUST 24, 2020

Maintaining test data in a central repository and then accessing it from different test environments may ease this problem but may introduce other issues like network latency in tests. Leveraging Cloud-based Virtual Infrastructure: Cloud-based test environments can be made accessible instantaneously on demand.

Testing 69

Testing Open Source Scalability Latency 69

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.

Hardware 40

Hardware Latency Virtualization Cloud 40

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

O'Reilly

DECEMBER 2, 2019

For applications like communication between AVs, latency–how long it takes to get a response–is more likely to be a bigger limitation than raw bandwidth, and is subject to limits imposed by physics. There are impressive estimates for latency for 5G, but reality has a tendency to be harsh on such predictions. Mike Loukides.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

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. Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances.

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 245

Serverless Efficiency Lambda Azure 245

ScaleOut Software

JULY 21, 2020

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency.

Analytics 52

Analytics Airlines Cache Scalability 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. This is where a well-architected Content Delivery Network (CDN) shines.

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. This is where a well-architected Content Delivery Network (CDN) shines.

Architecture 52

Architecture Performance Internet Internet 52

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

Scalegrid

FEBRUARY 8, 2024

Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database. Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions.

Storage 130

Storage Systems Big Data Azure 130

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. Customer Data Center – Hosts and Virtual Machines.

AWS 131

AWS IoT Virtualization Infrastructure 131

The Netflix TechBlog

AUGUST 29, 2023

The abstractions that Eureka provides for this are Virtual IPs (VIPs) for insecure communication, and Secure VIPs (SVIPs) for secure. In this architecture, service to service communication no longer goes through the single point of failure of a load balancer.

Traffic 220

Traffic Latency Cloud C++ 220

Scalegrid

OCTOBER 17, 2019

Moving to a multithreaded architecture will require extensive rewrites. But that causes a problem with PostgreSQL’s architecture – forking a process becomes expensive when transactions are very short, as the common wisdom dictates they should be. The PostgreSQL Architecture | Source. The Connection Pool Architecture.

Architecture 200

Architecture Database Latency Servers 200

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. PgBouncer provides a virtual database that reports various useful statistics. Administration. Host-based authentication.

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

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. A cautious approach is crucial when transitioning to a M-CDN architecture.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

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 contains an abstraction layer below FUSE which allows different metadata and data stores to be plugged into the architecture by having their corresponding adapters implement the interface.

Media 174

Media Storage Architecture Cloud 174

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. A cautious approach is crucial when transitioning to a M-CDN architecture.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

All Things Distributed

MARCH 11, 2016

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. No gatekeepers.

AWS 144

AWS Hardware Retail Virtualization 144