Scalegrid

OCTOBER 24, 2019

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. ScaleGrid offers a compelling alternative to hosting MySQL on AWS that offers better performance, more control, and no cloud vendor lock-in and the same price as Amazon RDS. MySQL on AWS Performance Test.

AWS 183

AWS Latency Performance Benchmarking 183

Scalegrid

DECEMBER 16, 2019

MongoDB is the #3 open source database and the #1 NoSQL database in the world. It’s a cross-platform document-oriented database that uses JSON-like documents with schema, and is leveraged broadly across startup apps up to enterprise-level businesses developing modern apps. DigitalOcean Droplets.

Azure 187

Azure AWS Latency Database 187

Dynatrace

APRIL 30, 2021

As organizations develop more applications and microservices, they are discovering they also need to run more performance tests in the same amount of time or less to meet service-level objectives (SLOs) that fulfill service-level agreements (SLAs). Current challenges with performance testing. Dynatrace news.

Engineering 208

Engineering Testing Performance Performance Testing 208

Dynatrace

SEPTEMBER 15, 2020

During the Performance Clinic episode, I asked Stefano to tell us more about this changing world and how we can leverage automation, AI and machine learning to optimize modern software stacks despite the increased complexity. performance test) when the application reaches a stable throughput without violating response time constraints.

Performance 192

Performance Java Metrics Cloud 192

Dynatrace

JANUARY 5, 2022

To do so we have successfully established AI-based White box load and resiliency testing with JMeter and Dynatrace, helping identify and resolve major performance and scalability problems in recent projects before deploying to production. Automation : Single load test executions can be repeated and tracked. a Jenkinsfile.

Testing 226

Testing Open Source Metrics Infrastructure 226

Dynatrace

SEPTEMBER 8, 2020

Very often, I heard that chaos engineering is only a technique used by larger companies (like Netflix) or in cloud native environments. You want to know if chaos engineering is only usable in cloud native environments. With the rise of cloud and container technologies, companies developed a lot of microservices. Dynatrace news.

Engineering 143

Engineering Cloud Monitoring Testing 143

Dynatrace

DECEMBER 10, 2020

This complexity comes in the form of new technologies like microservices and containers, heavy use of third-party integrations, and distributed transactions across multiple cloud environments and data centers. Rethinking the process means digital transformation. Different teams have their own siloed monitoring solution.

Strategy 186

Strategy Performance Logistics Monitoring 186

Scalegrid

OCTOBER 17, 2019

In that environment, the first PostgreSQL developers decided forking a process for each connection to the database is the safest choice. It would be a shame if your database crashed, after all. Developers are often strongly discouraged from holding a database connection while other operations take place.

Architecture 200

Architecture Database Latency Servers 200

Dotcom-Montior

NOVEMBER 27, 2018

LoadView, our on-demand, cloud-based load and stress testing platform , takes an outside-in approach to performance testing. Identifying performance bottlenecks. Analyzing server performance (CPU, memory, bandwidth, disk I/O) and database response times. LoadView – Best Practices and Process.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

n0derunner

SEPTEMBER 17, 2018

It is very common to have large resource-hungry databases separated across nodes using anti-affinity rules. The idea here is to simulate a large database doing a lot of reads across a large workingset size. The IO to the data disks is entirely read, and uses large blocks to simulate a database scanning a lot of records.

Performance Testing 40

Performance Testing Benchmarking Testing Performance 40

Percona

MAY 9, 2023

Background story I recently worked with a company running a large four-shard MongoDB Enterprise Server database cluster on VMs on premises that decided to migrate to the Google Cloud Platform. This approach frees the deployment from cloud (and any other vendor) lock-in. Check zones where your PerstistentVolumes were created.

Storage 105

Storage Cloud Servers Google 105

Percona

DECEMBER 20, 2018

Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies.

Database 40

Database Tuning Performance AWS 40

Dynatrace

MAY 28, 2020

If you have a distributed environment with multiple servers hosting your webservers, app servers, and database, I suggest you install the OneAgent on all these servers to get full end-to-end visibility. Kubernetes, OpenShift, Cloud Foundry or Azure Web Apps then install the OneAgent by following the OneAgent PaaS installation options.

Engineering 198

Engineering Performance Metrics Best Practices 198

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. in Atlas , Netflix’s in-memory dimensional time series database.

Media 214

Media Storage Processing Cache 214

Dynatrace

SEPTEMBER 17, 2019

But every organization I talked with, that is engaged in a k8s project, told me that in order for them to truly leverage k8s as a cloud native platform you need ALL of the following “ Monitoring as a Self-Service Capabilities ” (MaaSS) which aren’t covered by any of the open source or platform offerings: K8s cluster and pod health monitoring.

AWS 128

AWS Monitoring Ecommerce Lambda 128

Testsigma

JULY 24, 2021

Best Automation Testing Tools for Web and Mobile. Sauce Labs: Sauce Labs is a cloud-based automation testing platform that supports testing on native apps and mobile web. You can automate cross-browser tests, mobile app tests, API tests, and mobile beta tests from the same platform.

Testing Tools 52

Testing Tools Mobile Testing Entertainment 52

Testsigma

DECEMBER 4, 2020

Front-end testing will ensure that the app under test will perform on different browsers and devices. Perform unit, regression, performance, integration, and acceptance tests on the app for comprehensive front-end testing. Step 5: Back-End Testing. Secure the source code and database ii.

Mobile 65

Mobile Testing Operating System Storage 65

Adrian Cockcroft

JUNE 21, 2022

We had specializations in hardware, operating systems, databases, graphics, etc. Jim Mauro and Allan Packer visited on rotation from New Jersey, and Adelaide Australia, and worked out how to produce a database sizing guide for Oracle Financials, which I wrote up and published. Jim also joined the database performance team.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Testsigma

JUNE 26, 2021

Before that, let’s look at some ideal features these tools should have: Should be easy to use Should have features that make test maintenance easier Should be platform-agnostic Should help you save time, money, and resources. For an in-depth understanding of codeless automation testing, read A Guide to Codeless Testing.

Testing Tools 52

Testing Tools Testing Analytics Mobile 52

Testsigma

OCTOBER 6, 2020

These tools can also be used during functional testing and acceptance by testers as well as developers. Some majorly used test data preparation tools are: MOCKAROO: Generate up to 1,000 rows of realistic test data in CSV, JSON, SQL, and Excel formats. Performance testing tools. Codecover for Java and COBOL.

Java 65

Java Testing Tools Performance Testing Testing 65

Testsigma

FEBRUARY 27, 2021

That’s why it’s essential that we perform Android integration testing for all the critical modules in our application. Android Integration Testing With Testsigma. Testsigma is a cloud-based automation testing tool that provides a unified platform for all kinds of testing requirements.

Testing 52

Testing Performance Testing Mobile Software 52

High Scalability

NOVEMBER 25, 2019

Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Migration to cloud. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52

Testsigma

FEBRUARY 3, 2021

We perform testing from the starting of the flow till the end of the flow. Functional Testing can be easily automated once the features being tested are stable and are not expected to go through a lot of new changes. Performance Testing. Different types of performance tests are-.

Mobile 82

Mobile Testing Hardware C++ 82

Testsigma

NOVEMBER 23, 2019

Hence, testing of an agile project is done by the whole team, not just designated testers or quality assurance professionals but also team members whose primary expertise may be in programming, business analysis, and database or system operation. It is quite easy for manual testers and anyone new to test automation.

Testing 52

Testing DevOps Open Source Mobile 52

Testlodge

JULY 4, 2018

Some sample scenarios of stress testing would be: When there is a large number of users who access login/sign up at the same time. A database shuts down when a large number of users are accessing it. Stress Testing Tools. Stress testing uses a similar procedure to Load testing and Performance testing.

Testing 45

Testing Testing Tools Servers Monitoring 45

Brendan Gregg

FEBRUARY 9, 2018

Cloud provider hypervisor changes (for cloud guests) 1. Plotting the percent performance loss vs syscall rate per CPU, for my microbenchmark: Applications that have high syscall rates include proxies, databases, and others that do lots of tiny I/O. They are: 1. Guest kernel KPTI patches (this post) 1. Linux 4.14

Performance 75

Performance Benchmarking Cache Tuning 75

Brendan Gregg

FEBRUARY 8, 2018

Cloud provider hypervisor changes (for cloud guests) 1. Plotting the percent performance loss vs syscall rate per CPU, for my microbenchmark: Applications that have high syscall rates include proxies, databases, and others that do lots of tiny I/O. They are: 1. Guest kernel KPTI patches (this post) 1. Linux 4.14

Performance 40

Performance Benchmarking Cache Tuning 40

Apica

MAY 10, 2019

These virtual users simulate realistic scenarios scripted and recorded with Apica’s ZebraTester tool so that hundreds, thousands, and millions of tests run concurrently in a Streaming companies/studios’ pre-production or production environments before the episodes are actually ‘aired.’

Testing 40

Testing Performance Social Media Wireless 40

High Scalability

DECEMBER 3, 2019

By having appropriate indexes on your MySQL tables, you can greatly enhance the performance of SELECT queries. During this time, you are also likely to experience a degraded performance of queries as your system resources are busy in index-creation work as well.

Best Practices 21

Best Practices Performance Systems Processing 21

Smashing Magazine

JANUARY 6, 2020

Depending on how much dynamic data you have, you might be able to "outsource" some part of the content to a static site generator , pushing it to a CDN and serving a static version from it, thus avoiding database requests. Plus, it’s even supported on Fastly’s edge cloud. Test with network throttling, and emulate a high-DPI device.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Depending on how much dynamic data you have, you might be able to "outsource" some part of the content to a static site generator , pushing it to a CDN and serving a static version from it, thus avoiding database requests. Andy Davies did a similar research for HTTP/2 prioritization across browsers, CDNs and Cloud Hosting Services.

Performance 104

Performance Cache Network Metrics 104