Dynatrace

APRIL 5, 2021

Lambda’s highly efficient, on-demand computing environment aligns with today’s microservices-centric architectures, and readily integrates with other popular AWS offerings that an organization may already be using. AWS continues to improve how it handles latency issues. How do AWS Lambda functions impact monitoring?

Lambda 184

Lambda AWS Serverless Hardware 184

John McCalpin

APRIL 25, 2023

This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., Multicore processors have huge amounts of available DRAM bandwidth – maybe it does not even make sense for a single core to try to use that much?

Benchmarking 97

Benchmarking Cache Latency Tuning 97

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

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. The lack of low-latency made that distributed systems (e.g.

Network 96

Network Latency Operating System Speed 96

John McCalpin

APRIL 2, 2020

All of the SPECfp_rate2000 results were downloaded from www.spec.org, the results were sorted by processor type, and “peak floating-point operations per cycle” was manually added for each processor type. This includes all architectures, all compilers, all operating systems, and all system configurations.

Benchmarking 59

Benchmarking Performance Latency Architecture 59

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. This also includes latency, or the time it takes for data or a request to get through a network. Multi-Tier.

Systems 74

Systems Monitoring Hardware Network 74

The Morning Paper

MAY 12, 2019

It’s a pretty impressive effort to pull together and make available in open source (not yet available as I write this) such a suite, and I’m sure explains much of the long list of 24 authors on this paper. The top line shows the change in tail latency across a set of monolithic applications as operating frequency decreases.

Open Source 61

Open Source Hardware Benchmarking Systems 61

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. Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

ScaleOut Software

APRIL 6, 2021

Because it runs on a scalable, highly available in-memory computing platform, it can do all this simultaneously for hundreds of thousands or even millions of data sources. This simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 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

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. There are also cases where although the workload and operational needs seem to best fit to one solution, there are other limiting factors that may be blockers (or at least need special handling).

AWS 52

AWS Database Serverless Storage 52

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 In particular the number of concurrent users is going to be a significant factor.

Testing 48

Testing Tuning Latency Storage 48

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. Expect the unexpected. No gatekeepers.

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

The Morning Paper

APRIL 14, 2019

A covert cache-based channel (for example) can be built by the sender modulating its footprint in the cache through its execution, and the receiver probing this footprint by systematically touching cache lines and measuring memory latency and by observing its own execution speed. Threat scenarios. Threat scenarios.

Hardware 44

Hardware Cache Latency Speed 44

cdemi

DECEMBER 4, 2016

Maximizing Availability : Delays or Downtime of the service does not affect the application generating the messages. Message Brokers are servers that take care of Queue Handling , Routing Messages, High Availability and Scaling out. Maximizing Scalability : Number of Queues and Services can be varied to meet Demand.

Design 47

Design Azure Scalability Latency 47

John McCalpin

JULY 23, 2018

When running a single user thread, you will often get the advertised single-core Turbo frequency, but if the operating system enables more cores to handle (even very short-lived) background processes, your frequency may drop unexpectedly. I recommend measuring a minimum of four values: Elapsed TSC cycles (using RDTSC or RDTSCP).

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. These systems must maintain support for I/O ordering. 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

Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. We believe that installing our software should be as straightforward as we can make it, requiring minimal knowledge of the host operating system and the fewest possible explicit configuration settings.

Cache 40

Cache Servers Network Design 40

Smashing Magazine

JANUARY 7, 2019

Time to Interactive (TTI) The point at which layout has stabilized, key webfonts are visible, and the main thread is available enough to handle user input — basically the time mark when a user can interact with the UI. Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms.

Performance 104

Performance Cache Network Metrics 104