Percona

MARCH 23, 2023

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Although there have been many blogs about adjusting MySQL variables for better performance since then, I think this topic deserves a blog update since the last update was a decade ago, and MySQL 5.7

Performance 127

Performance Hardware Tuning Storage 127

Percona

JULY 7, 2023

With the average cost of unplanned downtime running from $300,000 to $500,000 per hour , businesses are increasingly using high availability (HA) technologies to maximize application uptime. Where a high availability design once worked well, it can no longer keep up with more complex requirements.

Availability 85

Availability Open Source Architecture Database 85

Dynatrace

AUGUST 26, 2020

There’s no other competing software that can provide this level of value with minimum effort and optimal hardware utilization that can scale up to web-scale! We’re continuously investing in performance optimizations, high availability, and resilience for Dynatrace Managed deployments. Impact on disk space.

Performance 150

Performance Hardware Java Storage 150

Testsigma

JUNE 3, 2021

These software errors are usually uncovered during functionality testing, mostly can be present as: Difficult/ confusing functionality: If the user is unable to understand or perform a function on the application, then it should change. Example: An e-commerce website is unable to process the payment part. of the dialog boxes.

Software 82

Software Software Testing Hardware 82

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 106

Performance Monitoring Traffic Database 106

Dynatrace

APRIL 15, 2024

For example, government agencies use an array of cloud platforms spanning 12 environments on average. In a monitoring scenario, teams typically preconfigure dashboards to alert about performance issues they may expect to see later. The critical Log4Shell vulnerability is a recent example. Observability differs from monitoring.

Infrastructure 205

Infrastructure Efficiency Government Transportation 205

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform.

Serverless 242

Serverless Efficiency Lambda Azure 242

Testsigma

FEBRUARY 3, 2021

Mobiles have different models, screen resolutions, operating systems, network types, hardware configurations, etc. Also, how to test the hardware of the mobile phone itself, is it supporting all the software as it should? Let us have a look at the most popular types of mobile testing for applications and hardware.

Mobile 82

Mobile Testing Hardware C++ 82

Alex Russell

JANUARY 30, 2024

This split decision was available via last year's update , but was somewhat buried. The usual caveats also apply: Performance is a deep and nuanced domain, and much can go wrong beyond content size and composition. How sites manage resources after-load can have a big impact on perceived performance. In the U.S.,

Performance 90

Performance Network Mobile Speed 90

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. What Exactly is Greenplum? At a glance – TLDR. Open Source.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

All Things Distributed

OCTOBER 8, 2014

We designed DynamoDB to operate with at least 99.999% availability. Now that we have added support for document object model while delivering consistent fast performance, I think DynamoDB is the logical first choice for any application. These databases trade off complex querying capabilities and consistency for scale and availability.

Availability 145

Availability Performance Scalability AWS 145

Alex Podelko

SEPTEMBER 8, 2020

Some time ago Federico Toledo published Performance Testing with Open Source Tools- Busting The Myths. How did you get into performance engineering? At first, we were using LoadRunner, but we quickly moved to Performance Center. After a year I was put in charge of the Performance Center platform (9.52

Open Source 223

Open Source Performance Testing Testing Performance 223

Dynatrace

JUNE 29, 2022

For example, workflows from both public and private cloud resources can support an application. They use the same hardware, APIs, tools, and management controls for both the public and private clouds. After deployment, IT teams can also optimize the software and supporting hardware to ensure high performance.

Infrastructure 179

Infrastructure Cloud Azure AWS 179

Testsigma

DECEMBER 28, 2019

During the entire SDLC phase, there are various kinds of testing performed at different stages. Both functional and non-functional tests are executed while performing regression. Regression testing is never performed on a new module. When is Regression Testing performed? What is the Objective of Regression Testing?

Testing 53

Testing Hardware Testing Tools Strategy 53

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 247

Development Serverless Best Practices Lambda 247

Dynatrace

MAY 1, 2023

This operational data could be gathered from live running infrastructures using software agents, hypervisors, or network logs, for example. This enables AIOps teams to better predict performance and security issues and improve overall IT operations. Operations analytics ensures IT systems perform as expected.

Analytics 184

Analytics Artificial Intelligence Big Data Open Source 184

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., It’s a pretty impressive effort to pull together and make available in open source (not yet available as I write this) such a suite, and I’m sure explains much of the long list of 24 authors on this paper.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. They need enough hardware to serve their anticipated volume and keep things running smoothly without buying too much or too little. Reduced cost.

Cloud 163

Cloud Traffic Best Practices Strategy 163

Dynatrace

APRIL 30, 2021

He joined us at Perform 2021 to share his experience, highlighting why automatic and intelligent observability and AIOps are crucial. First, he pointed to the infrastructure monitoring capabilities as critical to understanding the impact of hardware failures. SAP makes observability a first-class citizen.

Retail 240

Retail Cloud Monitoring Hardware 240

John McCalpin

SEPTEMBER 17, 2018

Most Intel microprocessors support “HyperThreading” (Intel’s trademark for their implementation of “simultaneous multithreading”) — which allows the hardware to support (typically) two “Logical Processors” for each physical core. leaving half of the Logical Processors idle).

Hardware 40

Hardware Performance Cache Programming 40

Dynatrace

AUGUST 5, 2022

However, that assumes he or she is available and has time to talk. It provides a consistent platform that integrates with a variety of message queuing types to enable consistent performance regardless of the platform. This approach is common in transaction-intensive environments in which teams perform the same tasks repetitively.

Monitoring 196

Monitoring Serverless Programming Speed 196

Dynatrace

AUGUST 5, 2022

However, that assumes he or she is available and has time to talk. It provides a consistent platform that integrates with a variety of message queuing types to enable consistent performance regardless of the platform. This approach is common in transaction-intensive environments in which teams perform the same tasks repetitively.

Monitoring 195

Monitoring Serverless Programming Speed 195

Dynatrace

APRIL 5, 2021

Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Some common examples include: A request through API Gateway or Amplify. The function itself performs a small unit of work and Lambda charges subscribers by the millisecond. Optimizing Lambda for performance.

Lambda 178

Lambda AWS Serverless Hardware 178

All Things Distributed

NOVEMBER 21, 2018

In this post, I show some of the reasons why that's true, using the Amazon Redshift team and the approach they have taken to improve the performance of their data warehousing service as an example. Optimizing performance for bursts of user activity. Verifying benchmark claims. Leveraging fleet telemetry.

Cloud 135

Cloud Benchmarking Performance AWS 135

The Netflix TechBlog

NOVEMBER 9, 2022

At Netflix, we periodically reevaluate our workloads to optimize utilization of available capacity. In both bands, performance characteristics remain consistent for the entire uptime of the JVM on the node, i.e. nodes never jumped the bands. Thread 0’s cache in this example. The problem It started off as a routine migration.

Hardware 363

Hardware Cache Performance Latency 363

Brendan Gregg

MARCH 16, 2024

To explain this example in more detail: The profiler periodically interrupts software execution, and for those disconnected stacks it happens to be the execution of the kernel software ("vfs*", "ext*", etc.). This technique saves two instructions in the prologue and epilogue and makes one additional general-purpose register (%rbp) available."

Java 145

Java Cache Google Hardware 145

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Key Takeaways Redis® monitoring is essential for safeguarding performance, reliability, and security.

Strategy 130

Strategy Monitoring Latency DevOps 130

Smashing Magazine

JANUARY 11, 2021

Front-End Performance Checklist 2021. Front-End Performance Checklist 2021. This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Web performance is a tricky beast, isn’t it?

Performance 145

Performance Cache Media Metrics 145

ACM Sigarch

OCTOBER 10, 2022

In particular, recent research has begun to demonstrate that it is possible to perform security attacks on quantum computers. The security attacks demonstrated so far, for example, show that it is possible to induce errors in qubits via crosstalk, fingerprint the quantum computer devices, or even leak information across reset gates.

Architecture 72

Architecture Hardware Programming Cloud 72

Dynatrace

SEPTEMBER 29, 2021

A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices. These mechanisms are often compared to a conductor directing an orchestra to perform elaborate symphonies and juicy operas for our enjoyment. Here are some examples.

Open Source 298

Open Source Traffic DevOps Cloud 298

The Morning Paper

NOVEMBER 3, 2019

An analysis of performance evolution of Linux’s core operations Ren et al., For example: “Red Hat and Suse normally required 6-18 months to optimise the performance an an upstream Linux kernel before it can be released as an enterprise distribution”, and. 14, and after that performance starts to degrade noticeably.

Performance 108

Performance Benchmarking Tuning Hardware 108

Dynatrace

DECEMBER 16, 2021

If that service is slow, failing, or not available at all it results in frustration mentioned in some of the comments on social media and the app store. Below is an example of such a simple dashboard. Mobile app rating is a good example of Objective Driven Development. Availability. Response time. Error rate.

DevOps 201

DevOps Social Media Mobile Metrics 201

Percona

MARCH 27, 2023

A lot of useful information can be retrieved from this schema, for example, table metadata and foreign key relations, but trying to query I_S can induce performance degradation if your server is under heavy load, as shown in the following example test. performance degradation. Results for Percona Server for MySQL 8.0

Cache 104

Cache Hardware Servers Benchmarking 104

Percona

MARCH 28, 2023

It’s to ensure that our data is durable after each write operation and to make it persistent and consistent without compromising the performance. However, it’s not normal and only happens when there’s too much write activity beyond what the hardware can handle. Let’s understand both of them.

Hardware 90

Hardware C++ Storage Cache 90

The Netflix TechBlog

JUNE 4, 2019

However, the key insight here is that these caches are partially shared among the CPUs, which means that perfect performance isolation of co-hosted containers is not possible. Traditionally it has been the responsibility of the operating system’s task scheduler to mitigate this performance isolation problem. Linux to the rescue?

Cache 251

Cache Latency Airlines Logistics 251