Dynatrace

MAY 1, 2020

Other distributions like Debian and Fedora are available as well, in addition to other software like VMware, NGINX, Docker, and, of course, Java. 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.

Java 133

Java Hardware Tuning Metrics 133

Percona

AUGUST 29, 2018

In this post, we will discuss some important kernel parameters that can affect database server performance and how these should be tuned. vm.overcommit_ratio is the percentage of RAM that is available for overcommitment. There are no “good” values for these two parameters since both depend on the hardware.

Tuning 54

Tuning Database Servers Processing 54

The Netflix TechBlog

NOVEMBER 9, 2021

AV1 playback on TV platforms relies on hardware solutions, which generally take longer to be deployed. Throughout 2020 the industry made impressive progress on AV1 hardware solutions. The Encoding Technologies team took a first stab at this problem by fine-tuning the encoding recipe. Stay tuned!

Media 246

Media Open Source Efficiency Software Engineering 246

Dynatrace

AUGUST 12, 2020

Dynatrace is thrilled to announce the General Availability of support for both the 2.x With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. So stay tuned! What’s next.

Serverless 239

Serverless Azure Monitoring Lambda 239

Dynatrace

AUGUST 10, 2019

Having the ability to monitor the performance and availability of your organization’s internal applications—in addition to your organization’s customer-facing applications—from within your corporate network is an important benefit of synthetic monitoring. Compliance with hardware requirements. Dynatrace news.

Monitoring 104

Monitoring Hardware Tuning Mobile 104

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 307

Open Source Traffic DevOps Cloud 307

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 89

Open Source Database Hardware Strategy 89

Dynatrace

NOVEMBER 20, 2019

Having released this functionality in an Early Adopter Release with OneAgent version 1.173 and Dynatrace version 1.174 back in August 2019, we’re now happy to announce the General Availability of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux. Host-performance measures.

Availability 31

Availability Hardware Java Tuning 31

Scalegrid

JANUARY 25, 2024

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. Best Practices for Redis Performance Tuning Optimizing memory allocation is essential for improving Redis’s performance.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

MARCH 27, 2023

The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark. Setup The setup consists of creating 10K tables with sysbench and adding 20 FKs to 20 tables.

Cache 98

Cache Hardware Servers Benchmarking 98

The Morning Paper

NOVEMBER 3, 2019

Perhaps the most interesting lesson/reminder is this: it takes a lot of effort to tune a Linux kernel. Google’s data center kernel is carefully performance tuned for their workloads. On the exact same hardware, the benchmark suite is then used to test 36 Linux release versions from 3.0 Headline results.

Performance 108

Performance Benchmarking Tuning Hardware 108

Percona

AUGUST 27, 2018

Resource groups permit assigning threads running within MySQL to particular groups so that threads execute according to the resources available to this group. 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.

Tuning 44

Tuning Virtualization Testing Servers 44

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

Dynatrace

AUGUST 12, 2020

Dynatrace is thrilled to announce the General Availability of support for both the 2.x With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. So stay tuned! What’s next.

Serverless 143

Serverless Azure Monitoring Lambda 143

Percona

DECEMBER 27, 2023

All of the database automation for running a highly available, resilient, and secure database is built into the operator to simplify the operation and management of your clusters. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 77

Cloud Open Source Strategy Best Practices 77

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

Percona

JANUARY 4, 2024

Flexible location : Data files can reside within the MySQL data directory or an independent location, enabling finer control over storage management and performance tuning. For instance: mysql> show create table authorsG 1. mysql> ALTER TABLE authors ENCRYPTION='Y'; Query OK, 0 rows affected (0.05

Storage 85

Storage Engineering Database Hardware 85

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. For example, when running tests, the state of the device will change from “available for testing” to “in test.” In this blog post, we will focus on the latter feature set.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log analysis can reveal potential bottlenecks and inefficient configurations so teams can fine-tune system performance. “Logging” is the practice of generating and storing logs for later analysis. Optimized system performance.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

AUGUST 8, 2019

We’re happy to announce the Early Adopter Release of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux (available with OneAgent version 1.173 and Dynatrace version 1.174). For details on available metrics, see our help page on host performance monitoring.

Availability 25

Availability Hardware Java Tuning 25

Dynatrace

OCTOBER 28, 2021

The crisis could be technical, natural, or malicious events, for example an earthquake affecting data center availability, or a cyberattack infecting applications and websites. Practitioners subject software to a controlled, simulated crisis to test for unstable behavior.

Engineering 230

Engineering Entertainment Cloud Infrastructure 230

Sutter's Mill

NOVEMBER 11, 2023

Instead, you want a library that is tuned for your target hardware architecture and ready for par_unseq vectorized algorithms, for blazing speed. It’s quite possible we may see implementations available sooner, as we do with other popular in-demand draft standard features. This is that library.

C++ 107

C++ Lambda Network Programming 107

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

SQL Performance

APRIL 27, 2020

Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. Microsoft took that idea and built a new compute tier called Azure SQL Database serverless, which became generally available in November 2019. New Hardware Configuration for Provisioned Compute Tier. GB per vCore. Conclusion.

Azure 55

Azure Database Serverless Hardware 55

John McCalpin

APRIL 25, 2023

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? Stay tuned! link] ) For the single-core case the bandwidth reported by the STREAM benchmark kernels is very close to the same as the bandwidth for the all-read tests reported here.

Benchmarking 97

Benchmarking Cache Latency Tuning 97

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. There is an issue with this, which causes the OS to swap even with memory available. Spoiler alert: This post focuses on MongoDB 3.6.X 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

Dynatrace

OCTOBER 22, 2019

Ultimately, it leads to a state where your system won’t be able to process more data even if you add more hardware. On this page, the difference from a typical thread dump becomes obvious: the data is continuously available, with historical context, and doesn’t need to be triggered if a problem occurs.

Java 103

Java Scalability Hardware Architecture 103

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

The Morning Paper

JUNE 27, 2019

The thrust of the argument is that there’s a chain of inter-linked assumptions / dependencies from the hardware all the way to the programming model, and any time you step outside of the mainstream it’s sufficiently hard to get acceptable performance that researchers are discouraged from doing so.

Systems 87

Systems Tuning Programming Innovation 87

The Morning Paper

MAY 21, 2019

Zswap is readily available and runs as a swap device in the Linux kernel. Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. ML-based auto-tuning. Evaluation.

Software 78

Software Software Google Hardware 78

The Morning Paper

NOVEMBER 10, 2019

An out-of-band mechanism (tcp socket) is used to advertise the available wire protocol versions when connecting to a remote machine, and the lowest common denominator will be used. The ability to rapidly deploy new versions of Pony Express significantly aided development and tuning of congestion control.

Network 92

Network Transportation Latency Entertainment 92

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

SQL Performance

MARCH 17, 2020

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. It has 32GB RAM, with 24GB available to the SQL Server 2019 instance. The parallel column store aggregate push down result of 57 million rows processed in 7ms (using 40ms of CPU) is remarkable, especially considering the hardware. Final Thoughts.

Servers 86

Servers Tuning Database Efficiency 86

Percona

AUGUST 29, 2023

Data redundancy, a database version of a RAID Pondering the case of high availability and redundancy, one replicates data by creating a replica via streaming replication. Now let’s stretch our imagination and consider a second method of high availability, ala Citus. The same can be said for Citus data sharding. 1 citus | 11.1-1

C++ 77

C++ Database Storage Testing 77

The Morning Paper

MARCH 17, 2020

One thing they all had in common is an evaluation using some kind of simulation of the expected behaviour of NVDIMMs, because the real thing wasn’t yet available. The Optane DIMM is the first scalable, commercially available NVDIMM. The guidelines… provide a starting point for building and tuning Optane-based systems.

Scalability 59

Scalability Latency Cache Media 59

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

HammerDB

JANUARY 5, 2019

As the chart shows because we know that both HammerDB and the implementation of the TPC-C workload scales then we can determine that with this particular database engine both the software and hardware scales as well. If you only test your own application (and if you have more than one application which one will you use for benchmarking?)

Benchmarking 40

Benchmarking Database Social Media Scalability 40