Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

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

Dynatrace

JANUARY 31, 2024

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache 199

Cache Azure Infrastructure Monitoring 199

The Netflix TechBlog

APRIL 27, 2023

High Level Architecture The idea, at a high level, was to avoid the need to query the Atlas database almost entirely and transition most alert queries to streaming evaluation. First and foremost, we have successfully alleviated our initial scalability problem with the polling based architecture. OK, Results?

Storage 288

Storage Cache Metrics Database 288

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. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. At a system level, SRE specialists develop tooling that coordinates releases and launches, evaluates system architecture readiness, and meets system-wide SLOs.

Engineering 249

Engineering DevOps Government Latency 249

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 104

Database Benchmarking Latency C++ 104

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. However, building and utilizing HCM presents challenges, including interconnecting various memory technologies (e.g., even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers.

Latency 52

Latency Hardware Cache Architecture 52

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

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. At a system level, SRE specialists develop tooling that coordinates releases and launches, evaluates system architecture readiness, and meets system-wide SLOs.

Engineering 170

Engineering DevOps Government Latency 170

Sutter's Mill

FEBRUARY 13, 2017

Tue-Thu Apr 25-27: High-Performance and Low-Latency C++ (Stockholm). On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.” If you’re interested in attending, please check out the links, and I look forward to meeting and re-meeting many of you there.

Latency 51

Latency C++ Hardware Performance 51

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. They are particularly important in distributed systems, such as microservices architectures. A platform approach, on the other hand, presents a more effective option for understanding observability as a whole.

Artificial Intelligence 171

Artificial Intelligence Metrics Architecture DevOps 171

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251

Cache Latency Airlines Logistics 251

The Netflix TechBlog

MARCH 4, 2024

In this blog post, we present our project on Auto Remediation, which integrates the currently used rule-based classifier with an ML service and aims to automatically remediate failed jobs without human intervention. Upon further profiling, we found that most of the latency came from the candidate generated step (i.e.,

Tuning 210

Tuning Efficiency Big Data Engineering 210

The Netflix TechBlog

AUGUST 30, 2021

System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform. A timeline of the transition from Spring KafkaListener to Alpakka-Kafka is presented here for a better understanding of the motivations for the transition.

Latency 213

Latency Traffic Transportation Hardware 213

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

John McCalpin

DECEMBER 6, 2016

The Xeon Phi x200 (Knights Landing) has a lot of modes of operation (selected at boot time), and the latency and bandwidth characteristics are slightly different for each mode. This reduces the number of “hops” required for request/response/coherence messages on the mesh, and should reduce both latency and contention.

Latency 40

Latency Cache Testing Systems 40

John McCalpin

APRIL 2, 2020

This was a keynote presentation at the “2nd International Workshop on Performance Modeling: Methods and Applications” (PMMA16), June 23, 2016, Frankfurt, Germany (in conjunction with ISC16 ). This data is from the 2007 presentation.

Benchmarking 59

Benchmarking Performance Latency Architecture 59

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

InfoQ

APRIL 15, 2024

The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning. At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. By Rafal Gancarz

Artificial Intelligence 105

Artificial Intelligence Big Data Data Engineering Latency 105

ACM Sigarch

MARCH 18, 2019

This Part 1 discusses Bottleneck Analysis and Little’s Law, while Part 2 presents the M/M/1 Queue. To this end, we present three simple models that we find useful like Amdahl’s Law, split here into two blog posts. How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency?

Systems 60

Systems Latency Performance Analytics 60

ACM Sigarch

MARCH 25, 2019

Part 1 previously discussed Bottleneck Analysis and Little’s Law, while this post (Part 2) presents the M/M/1 Queue. It also presented Bottleneck Analysis and Little’s Law that can give initial answers to questions like: What is the maximum throughput through several subsystems in series and parallel? and 1/S as ?.

Systems 53

Systems Latency Performance C++ 53

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. When we think of a system’s architecture, the first thing that may pop into your mind is the traditional client-server system, where a server was the shared resource among many different devices and machines, like printers, computes, clients, etc. Multi-Tier.

Systems 74

Systems Monitoring Hardware Network 74

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+). Consistent performance matters just as much as low average latency.

Performance 86

Performance Latency Metrics Engineering 86

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

Brendan Gregg

JULY 2, 2021

Here are the top ten tools you can run and present as a generic BPF observability dashboard, along with suggested visualizations: Tool Shows Visualization. biolatency Disk I/O latency histogram heat map. runqlat CPU scheduler latency heat map. biolatency Disk I/O latency histogram heat map. opensnoop Files opened table.

Latency 145

Latency Cache Energy Systems 145

The Morning Paper

MAY 12, 2019

A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! The top line shows the change in tail latency across a set of monolithic applications as operating frequency decreases. Hardware implications.

Open Source 61

Open Source Hardware Benchmarking Systems 61

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

The Morning Paper

JUNE 13, 2019

HotOS’19 is presenting me with something of a problem as there are so many interesting looking papers in the proceedings this year it’s going to be hard to cover them all! The following figure highlights how just one of these variables, batch size, impacts throughput and latency on ResNet50. HotOS’19. Usability expectations.

Hardware 58

Hardware Latency Serverless Energy 58

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

O'Reilly

NOVEMBER 12, 2019

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. latency, startup, mocking, etc.) changing the integration landscape—at least for now. Concluding thoughts.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

cdemi

JUNE 10, 2017

Simply put, a Byzantine Fault is a fault that presents different symptoms to different observers. Several system architectures were designed that implement Byzantine Fault Tolerance. Because these are real-time systems, their Byzantine fault tolerance solutions must have very low latency. Achieving Byzantine Fault Tolerance.

Blockchain 62

Blockchain Latency Systems C++ 62

Alex Russell

MARCH 6, 2021

This 2GiB RAM, Android 9 stalwart features the all-too classic lines of a Quad-core A53 (1.4GHz, small mercies) CPU, tastefully presented in a charming 5.5" It is perhaps predictable that, instead of presenting a bulwark against stratification, technology outcomes have tracked society's growing inequality. " package.

Performance 124

Performance Network Cache Metrics 124

Smashing Magazine

AUGUST 3, 2023

Large preview ) The graph presents the LCP values for the 75th percentile of our users visiting the Route Landing Page group. We recognize the potential benefits of serving static content, which involves delivering pre-generated HTML files like you would see in a Jamstack architecture. LCP seconds over time. LCP in seconds.

Performance 74

Performance Cache Traffic Metrics 74

Percona

MAY 15, 2023

In short, any data that is written must be consistent with the data present. 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. In all of them, the sharding key is present, either in the WHERE clause OR as a comment.

Traffic 123

Traffic Scalability Database Servers 123

The Morning Paper

MAY 28, 2019

The resulting system can integrate seamlessly into a scikit-learn based development process, and dramatically reduces the total energy usage required for classification with very low latency. An end-to-end architecture. Introducing race logic. Race logic encodes values by delaying signals. This fits rather nicely with an INHIBIT gate.

Energy 52

Energy Hardware Efficiency Architecture 52

Alex Russell

JANUARY 30, 2024

Regardless, I present the thinking behind them because it can provide teams with informed points of departure, and also because clarifying the ritual freakout taking place as INP begins to put a price on JavaScript externalities. That's where the good news ends.

Performance 90

Performance Network Mobile Speed 90