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., 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! ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. monitoring distributed systems becomes much more difficult to carry out and manage. Today, there are a variety of architectures and systems in use. Software and hardware components are autonomous and execute tasks concurrently. Blockchain is a good example of this.

Systems 74

Systems Monitoring Hardware Network 74

Testsigma

JULY 23, 2020

This is a standalone software program which doesn’t depend on any internet connectivity for its working and its performance is not impacted because of any network related latencies. Any network-related latencies result in performance hindrances in these types of applications. These have clients and servers in their architecture.

Testing 63

Testing Internet Internet Latency 63

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

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

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. This simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 52

All Things Distributed

MARCH 11, 2016

Build evolvable systems. Almost from day one, we knew that the software we were building would not be the software that would be running a year later. 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.

AWS 144

AWS Hardware Retail Virtualization 144

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.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

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

The Morning Paper

APRIL 14, 2019

Just as today’s systems offer memory protection, they call this time protection. The paper sets out what we can do in software given today’s hardware, and along the way also highlights areas where cooperation from hardware will be needed in the future. Requirement 4 : State flushing must be padded to its worst-case latency.

Hardware 44

Hardware Cache Latency Speed 44

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

cdemi

DECEMBER 4, 2016

Modern software usually involves running tasks that invoke services. Apache Kafka - High-Throughput, Low-Latency, Uses Apache ZooKeeper for Distribution, Written in Scala and Java. If the service is subjected to intermittent heavy loads, it can cause performance or reliability issues.

Design 47

Design Azure Scalability Latency 47

John McCalpin

JULY 23, 2018

(From a recent post of mine on the Intel software developer forums — some potentially useful words to go along with my new low-overhead-timers project…). Updates on 2019-01-23 in blue. There are lots of topics that you need to be aware of when attempting fine-grain timing.

Code 45

Code Programming Latency Testing 45

SQL Server According to Bob

JANUARY 11, 2020

Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. SQL Server always checks I/O completion status for any operating system error conditions and proper data transfer size and then handles errors appropriately.

Servers 40

Servers Cache Media Hardware 40

ScaleOut Software

MAY 15, 2014

We have spent a great deal of time at ScaleOut Software re-architecting our in-memory data grid (IMDG)’s code base to make best use of many cores and large memory. Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. Testing Scale-Up Performance.

Cache 40

Cache Servers Network Design 40

Smashing Magazine

JANUARY 7, 2019

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet. Consider using PRPL pattern and app shell architecture. Use progressive enhancement as a default.

Performance 104

Performance Cache Network Metrics 104