Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

Architecture 228

Architecture Artificial Intelligence Cloud Open Source 228

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 298

Open Source Traffic DevOps Cloud 298

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 104

Cache Hardware Servers Benchmarking 104

The Morning Paper

MARCH 17, 2020

An empirical guide to the behavior and use of scalable persistent memory , Yang et al., The Optane DIMM is the first scalable, commercially available NVDIMM. EWR is the ratio of bytes issue by the iMC divided by the number of bytes actually written to the 3D-XPoint media (as measured by the DIMM’s hardware counters).

Scalability 59

Scalability Latency Cache Media 59

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. So stay tuned. If you want to replicate Christians work – here are the software and hardware specs: Hardware. Goal: sending metrics to Dynatrace.

Innovation 152

Innovation Metrics Hardware Games 152

Percona

DECEMBER 27, 2023

It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic. This fully automated scaling and tuning will enable a serverless-like experience in our Operators and Everest. Developers will receive the endpoint without needing to consider resources and tuning at all.

Cloud 82

Cloud Open Source Strategy Best Practices 82

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. In order to maximize their benefits, remember to carefully consider your specific needs and workload characteristics before implementing general tablespaces.

Storage 90

Storage Engineering Database Hardware 90

Dynatrace

OCTOBER 28, 2021

Once established, chaos engineering becomes an effective way to fine tune service-level indicators and objectives, improve alerting, and build more efficient dashboards, so you know you are collecting all the data you need to accurately observe and analyze your environment. Controlling the chaos.

Engineering 221

Engineering Entertainment Cloud Infrastructure 221

Dynatrace

OCTOBER 22, 2019

This is why threads are often the source of scalability as well as performance issues. Use case #1: Identify scalability issues. A scalable architecture needs to distribute work across many threads in order to facilitate all the CPUs of a physical or virtual machine. Dynatrace news.

Java 102

Java Scalability Hardware Architecture 102

HammerDB

APRIL 19, 2023

GHz 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) Up to 20% higher compute performance than z1d instances Up to 50 Gbps of networking speed Up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (EBS) We can also verify these capabilities by running some simple benchmarks on the different subsystems.

Performance 54

Performance Benchmarking Cache Storage 54

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. The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post.

Latency 213

Latency Traffic Transportation Hardware 213

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. driver: intel_pstate CPUs which run at the same hardware frequency: 0 . hardware limits: 1000 MHz - 3.80 hardware limits: 1000 MHz - 3.80 current CPU frequency: Unable to call hardware .

Best Practices 40

Best Practices Scalability Performance C++ 40

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.

Tuning 52

Tuning Benchmarking Engineering C++ 52

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

HammerDB

JANUARY 5, 2019

Scalability. 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. That is why we run a workload designed exactly for this purpose as it gives us a “benchmark” 2.

Benchmarking 40

Benchmarking Database Social Media Scalability 40

O'Reilly Software

APRIL 4, 2018

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. These requirements impose strong scalability and resilience implications. It enables unbounded scalability as more commodity or specialized hardware can be seamlessly added to existing clusters.

Architecture 80

Architecture Scalability Google Operating System 80

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. Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Dotcom-Montior

NOVEMBER 11, 2020

Serverless computing can be a huge benefit to organizations that don’t have the necessary resources or teams to manage physical resources, like servers/hardware, and all the maintenance and licensing that goes along with that, allowing them to focus on developing their code and applications. Scalability. Benefits of a Serverless Model.

Serverless 57

Serverless Monitoring Lambda Latency 57

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

Percona

AUGUST 5, 2023

This means that multiple partitions can be processed simultaneously, making better use of available hardware resources and further enhancing query performance. Enhanced Scalability : Partitioning enhances the database’s ability to scale, as data can be distributed across different storage devices.

Strategy 40

Strategy Storage Database Best Practices 40

HammerDB

FEBRUARY 25, 2021

However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. This is possible because the Tcl interpreter is exceptionally compact and lightweight (Also for this reason Tcl is often used as an embedded language in hardware such as Cisco Routers).

Programming 67

Programming Benchmarking Virtualization C++ 67

All Things Distributed

MARCH 19, 2018

At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. While building Amazon SageMaker and applying it for large-scale machine learning problems, we realized that scalability is one of the key aspects that we need to focus on.

Scalability 159

Scalability Hardware AWS Tuning 159

Percona

AUGUST 30, 2018

Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability. In other words, whether the workload is dominated by reads or writes. Why should you care?

Benchmarking 47

Benchmarking Database Operating System Architecture 47

All Things Distributed

MARCH 7, 2013

Werner Vogels weblog on building scalable and robust distributed systems. s fast and easy scalability can be quickly applied to building high scale applications. This allows us to tune both our hardware and our software to ensure that the end-to-end service is both cost-efficient and highly performant. Comments ().

Ecommerce 139

Ecommerce Storage Scalability Hardware 139

SQL Server According to Bob

JANUARY 11, 2020

ReadFile WriteFile ReadFileScatter WriteFileGather GetOverlappedResult ​​ For extended details on the 823 error, see ​​ Error message 823 may indicate hardware problems or system problems ​​ ( [link] i crosoft.com/default.aspx?scid=kb ​​ Contact your hardware manufacture for assistance.

Servers 40

Servers Cache Database Media 40

All Things Distributed

OCTOBER 8, 2014

We started with Amazon Dynamo, a simple key-value store that was built to be highly available and scalable to power various mission-critical applications in Amazon’s e-commerce platform. For DynamoDB, our primary focus was to build a fully-managed highly available database service with seamless scalability and predictable performance.

Availability 145

Availability Performance Scalability AWS 145

High Scalability

NOVEMBER 25, 2019

For highly scalable services, going outside of java process is costly, even to go to Memcache or Redis so we do in-memory cache with varying TTL for some highly used data structures like access control computation, feature flags, routing metadata etc. How are software and hardware upgrades rolled out? MySQL and Redis.

Architecture 52

Architecture Cache Azure Storage 52