Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Dynatrace provides end-to-end observability of AI applications As AI systems grow in complexity, a holistic approach to the observability of AI-powered applications becomes even more crucial.

Cache 206

Cache Azure Infrastructure Monitoring 206

The Morning Paper

OCTOBER 11, 2020

Orbital edge computing: nanosatellite constellations as a new class of computer system , Denby & Lucia, ASPLOS’20. Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. The old ground-initiated command-and-control style systems aren’t going to work for these finer-grained systems.

Systems 125

Systems Latency Architecture Energy 125

Dynatrace

MARCH 16, 2023

Monitors signals The first attribute of a good SLO is the ability to monitor the four “golden signals”: latency, traffic, error rates, and resource saturation. In practice, however, SLOs’ value varies significantly based on how teams design, deploy, and manage them.

DevOps 217

DevOps Latency Metrics Traffic 217

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 249

AWS Efficiency Azure Cloud 249

Randon ASCII

SEPTEMBER 8, 2019

The fact that this shows up as CPU time suggests that the reads were all hitting in the system cache and the CPU time was the kernel overhead (note ntoskrnl.exe on the first sampled call stack) of grabbing data from the cache. Remember that these are calls to the operating system – kernel calls. Think about that for a moment.

Latency 79

Latency Cache Programming Operating System 79

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 205

Artificial Intelligence DevOps Hardware Virtualization 205

ACM Sigarch

MARCH 25, 2019

How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency? Can one both minimize latency and maximize throughput for unscheduled work? The M/M/1 queue will show us a required trade-off among (a) allowing unscheduled task arrivals, (b) minimizing latency, and (c) maximizing throughput.

Systems 53

Systems Latency Performance C++ 53

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 110

Performance Latency Cache Virtualization 110

The Netflix TechBlog

OCTOBER 26, 2021

False negatives are closely related to the statistical concept of power , which gives the probability of a true positive given the experimental design and a true effect of a specific size. As a result, if the test treatment results in a small reduction in the latency metric, it’s hard to successfully identify?

Testing 202

Testing Latency Metrics Innovation 202

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

AUGUST 30, 2021

System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform. Fault Tolerance If the underlying KafkaConsumer crashes due to ephemeral system or network events, it should be automatically restarted.

Latency 213

Latency Traffic Transportation Hardware 213

Scalegrid

JANUARY 8, 2024

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Brendan Gregg

JULY 4, 2021

I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book. TCP Extensions for Multipath Operation with Multiple Addresses,” [link] Mar 2020 - [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 - [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0

Performance 140

Performance Latency Hardware Storage 140

Dynatrace

APRIL 5, 2021

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. You will likely need to write code to integrate systems and handle complex tasks or incoming network requests.

Lambda 181

Lambda AWS Serverless Hardware 181

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Register now for free and experience the seamless operation of your databases across multi-cloud and hybrid-cloud systems. By spreading your data and apps around, you can get your systems to work together more smoothly and make the most out of your budget.

Strategy 130

Strategy Cloud Government Innovation 130

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

Alex Russell

FEBRUARY 28, 2022

These steps inform a general description of the interaction loop: The system is ready to receive input. The system is ready to receive input. The chief effect of the architectural difference is to shift the distribution of latency within the loop. Improving latency for one scenario can degrade it in another.

Performance 104

Performance Latency Architecture Network 104

The Netflix TechBlog

SEPTEMBER 8, 2020

For each route we migrated, we wanted to make sure we were not introducing any regressions: either in the form of missing (or worse, wrong) data, or by increasing the latency of each endpoint. Being able to canary a new route let us verify latency and error rates were within acceptable limits. This meant that data that was static (e.g.

Latency 233

Latency Cache Java Traffic 233

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. A distributed file system provides a unified view over aggregated storage from multiple physical machines.

Storage 64

Storage Systems Hardware Efficiency 64

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

The Morning Paper

JANUARY 30, 2020

Edge servers are the middle ground – more compute power than a mobile device, but with latency of just a few ms. The Mobile Web Worker (MWW) System. The current system assumes an application specific regression model is available on the servers which can predict processing time given the current parameters of the job (e.g.

Mobile 104

Mobile Cloud Latency Games 104

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. Now let’s look at how we designed the tracing infrastructure that powers Edgar. Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

CSS Wizardry

MAY 19, 2020

On this site, in which performance is the only name of the game, I forgo web fonts entirely, opting instead to make use of the visitor’s system font. On a high-latency connection, this spells bad news. However, the execution of this header is bound by the response’s TTFB, which on high-latency networks can be very, very high.

Google 364

Google Media Latency Metrics 364

cdemi

DECEMBER 4, 2016

Control Costs : You don't have to design your service to meet peak load, but rather average load. Apache Kafka - High-Throughput, Low-Latency, Uses Apache ZooKeeper for Distribution, Written in Scala and Java. Considerations.

Design 47

Design Azure Scalability Latency 47

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. We explore all the systems necessary to make and stream content from Netflix.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. We explore all the systems necessary to make and stream content from Netflix.

AWS 100

AWS Entertainment Open Source Benchmarking 100

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

Dynatrace

DECEMBER 2, 2021

By shifting production-level SLOs left into development , you can design apps to meet production SLOs to increase resilience and reliability far before there is actual downtime. For example, an objective for system availability can be: 90% – one 9. How SLOs work. 99% – two 9s. 99.9% – three 9s. 99.99% – four 9s.

Metrics 193

Metrics Best Practices DevOps Infrastructure 193

All Things Distributed

NOVEMBER 12, 2018

The AWS GovCloud (US-East) Region is located in the eastern part of the United States, providing customers with a second isolated Region in which to run mission-critical workloads with lower latency and high availability. System and Organization Controls (SOC) 1, 2, and 3. Payment Card Industry (PCI) Security.

AWS 117

AWS Healthcare Cloud Government 117

Brendan Gregg

JULY 4, 2021

I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book. TCP Extensions for Multipath Operation with Multiple Addresses,” [link] Mar 2020 - [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 - [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0

Performance 52

Performance Latency Hardware Storage 52

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

Monitoring 206

Monitoring Social Media IoT Metrics 206

The Morning Paper

JUNE 13, 2019

Making queries to an inference engine has many of the same throughput, latency, and cost considerations as making queries to a datastore, and more and more applications are coming to depend on such queries. Managed here means that the system automates resource provisioning for models to match a set of SLO constraints (cf. autoscaling).

Hardware 58

Hardware Latency Serverless Energy 58

The Netflix TechBlog

FEBRUARY 18, 2022

To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. In this blog post, we will give an overview of the Rapid Event Notification System at Netflix and share some of the learnings we gained along the way.

Systems 334

Systems Traffic Architecture Mobile 334

The Netflix TechBlog

MARCH 4, 2024

Given the extensive scope and intricate complexity inherent to such a distributed, large-scale system, even if the failed jobs account for a tiny portion of the total workload, diagnosing and remediating job failures can cause considerable operational burdens. If no feasible solution is found, we disable retries.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Percona

MAY 1, 2023

” Yes, this is true, io2 volumes are expensive, and honestly, I think they should be used only where really high IO capacity at expected latencies is required, and this didn’t seem to be the case. Percona Consultants have decades of experience solving complex database performance issues and design challenges.

AWS 117

AWS Hardware Storage Tuning 117

Dotcom-Montior

NOVEMBER 16, 2021

In one of our previous articles , we discussed what an SRE is, what they do, and some of the common responsibilities that a typical SRE may have, like supporting operations, dealing with trouble tickets and incident response, and general system monitoring and observability. It is understood that no system is 100 percent reliable.

Monitoring 91

Monitoring Google DevOps Engineering 91