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

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

Dynatrace

OCTOBER 23, 2023

Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users.

Efficiency 220

Efficiency Virtualization Hardware Performance 220

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The first generation of this system went live with the streaming launch in 2007. Delivery?—?A

Serverless 228

Serverless Media Latency Social Media 228

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. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 257

Engineering DevOps Government Latency 257

Smashing Magazine

AUGUST 20, 2021

Jamstack CMS: The Past, The Present and The Future. Jamstack CMS: The Past, The Present and The Future. During the 90s, we saw two content management systems for static sites — Microsoft FrontPage in 1996 and Macromedia Dreamweaver in 1997. Drupal has a rich and extendable permission system. Mike Neumegen.

Ecommerce 139

Ecommerce Website Government Internet 139

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. When a problem occurs, we put on our detective hats and start our mystery-solving process by gathering evidence. What is Edgar?

Latency 296

Latency Transportation Engineering Traffic 296

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. The tool must be compatible with your current systems.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

ACM Sigarch

MARCH 18, 2019

This Part 1 discusses Bottleneck Analysis and Little’s Law, while Part 2 presents the M/M/1 Queue. Computer systems, from the Internet-of-Things devices to datacenters, are complex and optimizing them can enhance capability and save money. Can one both minimize latency and maximize throughput for unscheduled work?

Systems 60

Systems Latency Performance Analytics 60

The Netflix TechBlog

AUGUST 29, 2023

For Inter-Process Communication (IPC) between services, we needed the rich feature set that a mid-tier load balancer typically provides. To improve availability, we designed systems where components could fail separately and avoid single points of failure. In 2010, however, nearly none of it existed: the CNCF wasn’t formed until 2015!

Traffic 220

Traffic Latency Cloud C++ 220

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. I won’t cover all the features but show just enough that you’ll want to see more of what you can learn to accomplish for yourself.

Database 102

Database Benchmarking Latency C++ 102

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 181

Engineering DevOps Government Latency 181

The Netflix TechBlog

FEBRUARY 9, 2021

In the process, we changed end-to-end identity propagation within the network of services to use a cryptographically-verifiable token-agnostic identity object. The whole system was quite complex, and starting to become brittle. The API server orchestrates backend systems to authenticate the user.

Architecture 221

Architecture Latency Servers Website 221

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. Higher latency and cold start issues due to the initialization time of the functions. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces.

Serverless 213

Serverless Lambda Azure AWS 213

Scalegrid

DECEMBER 14, 2023

For example, if there’s some trouble connecting due to networking problems or excessive load requests from customers present on the server’s side, that might result in a resolution-related delay causing a subsequent timeout problem. x+ in Java). Modifying this setting does affect performance.

Java 130

Java Network Servers Database 130

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. Its goal is to assign running processes to time slices of the CPU in a “fair” way. So why mess with it?

Cache 251

Cache Latency Airlines Logistics 251

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform.

Latency 213

Latency Traffic Transportation Hardware 213

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 243

Latency Storage Big Data Tuning 243

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130

Adrian Cockcroft

JANUARY 29, 2023

There is no way to model how much more traffic you can send to that system before it exceeds it’s SLA. This is unfortunate, because we’d really like to be able to build systems that have an SLA that we can share with the consumers of our interfaces, and be able to measure how well we are doing.

Lambda 98

Lambda Latency Cache C++ 98

The Netflix TechBlog

FEBRUARY 20, 2019

Today we are excited to announce latency heatmaps and improved container support for our on-host monitoring solution?—?Vector?—?to Remotely view real-time process scheduler latency and tcp throughput with Vector and eBPF What is Vector? to the broader community. Vector is open source and in use by multiple companies.

Performance 211

Performance Latency Open Source Metrics 211

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

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., Systems built with lots of microservices have different operational characteristics to those built from a small number of monoliths, we’d like to study and better understand those differences.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Dynatrace

DECEMBER 22, 2021

Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.

Artificial Intelligence 183

Artificial Intelligence Metrics Architecture DevOps 183

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

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. In this way, no human intervention is required in the remediation process. Multi-objective optimizations. user name).

Tuning 210

Tuning Efficiency Big Data Engineering 210

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Our new eBook, “ From Planning to Performance: MongoDB Upgrade Best Practices ,” guides you through the entire process to ensure your database’s long-term success.

Best Practices 84

Best Practices Hardware Tuning Scalability 84

The Netflix TechBlog

DECEMBER 21, 2020

There are several benefits of such optimizations like saving on storage, faster query time, cheaper downstream processing, and an increase in developer productivity by removing additional ETLs written only for query performance improvement. Use cases We found several use cases where a system like AutoOptimize can bring tons of value.

Storage 203

Storage Latency Efficiency Data Engineering 203

Dynatrace

APRIL 6, 2022

Observability can identify the baseline user experience and allow teams to improve it by optimizing page load times or reducing latency. Cloud environments present IT complexity challenges that don’t exist in on-premises data centers. Why full-stack observability matters. Improve business decisions with precision analytics.

DevOps 235

DevOps Innovation Infrastructure Analytics 235

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

Adrian Cockcroft

JANUARY 20, 2023

on Myths and Legends of High Performance Computing  — it’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. switches to connect processing nodes, pooled memory and I/O resources into very large coherent fabrics within a rack, and use Ethernet between racks.

Architecture 52

Architecture Latency Benchmarking AWS 52

The Netflix TechBlog

FEBRUARY 9, 2021

We need to be able to easily determine what imagery is present for a given platform, region, and language. Server-generated assets, since client-side generation would require the retrieval of many individual images, which would increase latency and time-to-render. Let’s put it all together and review the system interaction diagram.

Engineering 165

Engineering Storage Latency Entertainment 165

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Raw content data along with templates are version controlled using Git or similar versioning systems. can generate an HTML-only website without involving a CMS.

Systems 63

Systems Cache Website Network 63

Percona

JULY 20, 2023

Meanwhile, Hans-Jürgen Schönig’s presentation , which brought up the old discussion of Unix socket vs. TCP/IP connection, triggered me to write about other aspects of network impact on performance. Following wait events are captured from a really fast/low latency network. It is designed to be very lightweight as well.

Network 61

Network Performance Latency Servers 61

The Morning Paper

NOVEMBER 8, 2020

USENIX is a nonprofit organisation committed to making content and research freely available – both conference proceedings and the recorded presentations of their events. It’s such a powerful idea that I can imagine distributed systems implementers everywhere adopting it from now on. What does the VirtualLog give us?

Virtualization 126

Virtualization Latency Storage Systems 126