Dynatrace

OCTOBER 28, 2021

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. Chaos engineers ask why. The history of chaos engineering.

Engineering 221

Engineering Entertainment Cloud Infrastructure 221

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

Percona

OCTOBER 18, 2023

Limited toolset and features Another challenge that organizations may face when considering open source is the perception that community software versions have a limited set of features. Security and risk The question “ Is Open Source software safe? Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 94

Open Source Database Hardware Strategy 94

The Morning Paper

MAY 21, 2019

Software-defined far memory in warehouse-scale computers Lagar-Cavilla et al., Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. 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

Dynatrace

OCTOBER 26, 2020

With the rich set of features in Dynatrace for diagnostics (check out my Advanced Diagnostics with Dynatrace YouTube Tutorial ) it speeds up analysis and diagnostics for Christian significantly. So stay tuned. If you want to replicate Christians work – here are the software and hardware specs: Hardware. Dynatrace.

Innovation 152

Innovation Metrics Hardware Games 152

SQL Performance

JANUARY 23, 2020

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006. The Top Queries That Weren't.

Tuning 115

Tuning Servers Monitoring Hardware 115

Alex Podelko

OCTOBER 20, 2016

Software as a Service’ (SaaS) basically are centrally managed systems with multiple tenants/instances. System’s configuration is not given anymore and often can’t be easily mapped to hardware. The dynamic architectures represent a major challenge for both monitoring and analysis. . – New Technologies.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

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

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.

C++ 107

C++ Lambda Network Programming 107

Adrian Cockcroft

NOVEMBER 13, 2023

In the simplest case, you have a growing workload, and you optimize it to run more efficiently so that you don’t need to buy or rent additional hardware, so your carbon footprint stays the same, but the carbon per transaction or operation is going down. I’ve written before about how to tune out retry storms.

Energy 52

Energy Cloud Traffic Transportation 52

Dotcom-Montior

OCTOBER 12, 2017

Result Analysis. Deep dive analysis of correlated results in Dynatrace. Software used in the showcase. Dynatrace – Deep dive analysis. Software used in the showcase: Dynatrace SaaS – Monitoring Platform from Dynatrace. Big picture, start the performance analysis from there. Verify hardware sizing.

AWS 40

AWS Tuning Monitoring Servers 40

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. Here are five considerations every software architect and developer needs to take into account when setting the architectural foundations for a fast data platform.

Architecture 80

Architecture Scalability Google Operating System 80

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

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

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

KeyCDN

AUGUST 15, 2019

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. In the context of web development, performance testing entails using software tools to simulate how an application runs under specific circumstances.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Brendan Gregg

SEPTEMBER 5, 2017

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). They use third-party software like Docker or Kubernetes to simplify their administration. People rarely create them manually.

Virtualization 76

Virtualization AWS Engineering Hardware 76

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

John McCalpin

JANUARY 22, 2018

Hardware performance counter results for a simple benchmark code calling Intel’s optimized DGEMM implementation for this processor (from the Intel MKL library) show that about 20% of the dynamic instruction count consists of instructions that are not packed SIMD operations (i.e., addl $1, %eax vfmadd213pd %zmm16, %zmm17, %zmm29.

Latency 40

Latency Hardware Code Testing 40

The Netflix TechBlog

APRIL 29, 2019

Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites.

Open Source 279

Open Source Network Infrastructure Big Data 279

All Things Distributed

MARCH 19, 2018

By formalizing this concept and facilitating it with software abstractions, we provide checkpointing capabilities and fault resiliency for all algorithms. To seamlessly switch between CPU and GPU machines, we use Apache MXNet to interface with the underlying hardware. Post-training model tuning and rich states.

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

Eventually, we resorted to caching the events in memory for a short duration and also tuning the GC settings on those nodes as we are doing a lot of young generation collections. Nagios, Grafana and New Relic and some internal proactive exception analysis are used. How are software and hardware upgrades rolled out?

Architecture 52

Architecture Cache Azure Storage 52