Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.

Open Source 304

Open Source Traffic DevOps Cloud 304

Dynatrace

OCTOBER 28, 2021

Testing for mishaps you can predict is essential. Chaos engineering is a method of testing distributed software that deliberately introduces failure and faulty scenarios to verify its resilience in the face of random disruptions. Practitioners subject software to a controlled, simulated crisis to test for unstable behavior.

Engineering 228

Engineering Entertainment Cloud Infrastructure 228

Scalegrid

JANUARY 25, 2024

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. It’s important to note that recommended throughput levels may vary depending on factors such as operating system type, network bandwidth availability, and hardware quality.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

MAY 1, 2020

This is especially the case with microservices and applications created around multiple tiers, where cheaper hardware alternatives play a significant role in the infrastructure footprint. The initial release of OneAgent for the ARM platform with OneAgent version 1.191 is certified and tested to work on SUSE Enterprise Linux 15.x,

Java 133

Java Hardware Tuning Metrics 133

Percona

OCTOBER 18, 2023

This approach can minimize complexities but requires complete confidence in your preparations, tests, and abilities. Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Should I be bringing in external experts to help out?

Open Source 95

Open Source Database Hardware Strategy 95

Dynatrace

OCTOBER 26, 2020

Christian Inzko , Performance Engineer out of our Klagenfurt Lab, is running a lot of performance tests to validate performance and scalability of our Dynatrace clusters. For some of these tests, he’s using the open source tool Apache JMeter. So stay tuned. Goal: sending metrics to Dynatrace. Raspberry Pi Model 3 B.

Innovation 155

Innovation Metrics Hardware Games 155

Percona

AUGUST 27, 2018

assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. We can split the task of having a good Resource Group implementation into three steps: You must perform an analysis of what you want to control.

Tuning 46

Tuning Virtualization Testing Servers 46

Brendan Gregg

SEPTEMBER 25, 2021

This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. I'm including this step as a reminder for anyone following this kind of analysis.

Speed 126

Speed Java AWS Virtualization 126

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc. that a lot of people used.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Sutter's Mill

NOVEMBER 11, 2023

0] would be easy to call “obvious” in hindsight, but it’s far from the only option and this paper’s analysis shows a thorough consideration of alternatives, including their effects on existing and future code and future language evolution. Seeing only the end result of T.[0] This is that library. You can check out the diff in these | commits.

C++ 107

C++ Lambda Network Programming 107

KeyCDN

AUGUST 15, 2019

Web performance is a broad subject, and you’ll find no shortage of performance testing tips and tutorials all over the web. Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

The Morning Paper

MAY 21, 2019

Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. From extensive A/B testing, P was empirically determined to be 0.2%/minute. These are used to perform offline analysis for potential memory savings under different cold-age thresholds. ML-based auto-tuning.

Software 78

Software Software Google Hardware 78

Dotcom-Montior

OCTOBER 12, 2017

Setup Load Test. Recorded EasyTravel testing script. Setup load test scenario and execute the test. Result Analysis. Deep dive analysis of correlated results in Dynatrace. LoadView – Create load testing script. LoadView – Execute Load Test. Dynatrace – Deep dive analysis. 34.251.255.57.

AWS 40

AWS Tuning Monitoring Servers 40

Percona

AUGUST 29, 2023

Its query engine not only parallelizes incoming SQL queries for time series but also has the ability to create column-wise tables making it ideal for OLAP analysis duties. Depending on the configuration, one can tune a hardware RAID for either performance or redundancy. The same can be said for Citus data sharding.

C++ 82

C++ Database Storage Testing 82

Dynatrace

NOVEMBER 20, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Stay tuned for more announcements on this topic.

Availability 31

Availability Hardware Java Tuning 31

Brendan Gregg

SEPTEMBER 25, 2021

This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. I'm including this step as a reminder for anyone following this kind of analysis.

Speed 40

Speed Java AWS Virtualization 40

Dynatrace

AUGUST 8, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Stay tuned for more announcements on this topic.

Availability 25

Availability Hardware Java Tuning 25

O'Reilly Software

APRIL 4, 2018

Those were the days when “connected” meant having some web presence, “interactions” were measured in number of clicks, and the analysis happened in batch overnight processes. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. At least once? At most once?

Architecture 80

Architecture Scalability Google Operating System 80

Brendan Gregg

SEPTEMBER 5, 2017

We're now testing container hosts in production on btrfs, instead of ZFS. Linux has been adding tracing technologies over the years: kprobes (kernel dynamic tracing), uprobes (user-level dynamic tracing), tracepoints (static tracing), and perf_events (profiling and hardware counters). If you're on an older Linux kernel (3.x),

Virtualization 76

Virtualization AWS Engineering Hardware 76

John McCalpin

JANUARY 22, 2018

After almost four weeks, we have a solid characterization of the behavior — no tested code exceeds an execution rate of 12 vector pipe instructions every 7 cycles (6/7 of the nominal peak) when executed on a single core — but we are unable to propose a testable quantitative model for the source of the throughput limitation.

Latency 40

Latency Hardware Code Testing 40

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

SQL Performance

MARCH 8, 2021

This can make it difficult to draw sound performance-tuning conclusions. Posts ( PostTypeId ASC , CreationDate ASC ) INCLUDE ( AcceptedAnswerId ) ; The test queries return the number of questions with an accepted answer, grouped by month and year. The clock keeps running at the same rate even during sleep.

Servers 95

Servers Tuning Architecture Processing 95

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid. It serves as an entry point into any new analysis.

Open Source 279

Open Source Network Infrastructure Big Data 279

O'Reilly

SEPTEMBER 19, 2023

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. A common audience question was “can Hadoop run [my arbitrary analysis job or home-grown algorithm]?” Google goes a step further in offering compute instances with its specialized TPU hardware. And, often, to giving up.

Hardware 99

Hardware Storage Big Data Blockchain 99

All Things Distributed

MARCH 19, 2018

Amazon SageMaker training supports powerful container management mechanisms that include spinning up large numbers of containers on different hardware with fast networking and access to the underlying hardware, such as GPUs. Post-training model tuning and rich states. Principal Component Analysis (PCA).

Scalability 159

Scalability Hardware AWS Tuning 159

All Things Distributed

NOVEMBER 30, 2016

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models. Amazon Lex.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

High Scalability

NOVEMBER 25, 2019

If you develop something then you own the lifecycle of that product, which means you would work with QA, DevOps to ensure it’s tested/deployed. We use a variant of git-flow, for every ticket, we clone the repo and we run automation tests on every merge request. Do you have a particular management philosophy?

Architecture 52

Architecture Cache Azure Storage 52