Percona

OCTOBER 12, 2023

It shows which code paths are more busy on the CPU in given samples. A simple sysbench benchmark on MySQL shows an overhead between six and 10 percent on CPU-bound systems when running perf with the default sampling frequency of 4000 Hz. Flame graphs are a graphical representation of function calls.

Code 110

Code Tuning C++ Benchmarking 110

Dynatrace

JUNE 26, 2023

Software automation is the practice of creating software applications to reduce or eliminate human intervention in repetitive, time-consuming IT tasks and cloud operations. It provides valuable insight into complex public, private, and hybrid cloud IT structures, systems, and frameworks. Cloud automation. Operations.

Software 196

Software Software Analytics Big Data 196

All Things Distributed

NOVEMBER 21, 2018

People often ask me if developing for the cloud is any different from developing on-premises software. Verifying benchmark claims. The biggest difference between developing for the cloud and developing on-premises software is that in the cloud, you have much better access to how your customers are using your services.

Cloud 135

Cloud Benchmarking Performance AWS 135

Dynatrace

AUGUST 29, 2022

Release validation is a critical DevOps practice to help ensure that code released into production is successful. While developing an application, service, or piece of code, it is critical to test the releases during defined milestones. This can become a complicated step if the application or code is complex. Dynatrace news.

DevOps 218

DevOps Benchmarking Cloud Monitoring 218

Dynatrace

OCTOBER 19, 2023

Implementing vulnerability management in your application security process aids in vulnerability detection and prevention before they can enter production code. It also helps organizations keep pace with the rapid cadence of software releases and the intricacies of multi-cloud environments.

Best Practices 218

Best Practices Benchmarking Speed Infrastructure 218

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., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Dynatrace

NOVEMBER 2, 2023

But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. The increasing complexity of cloud-native technologies has placed unprecedented pressure on DevOps teams. The report describes the various benchmarks that constitute each stage in depth.

DevOps 214

DevOps Benchmarking Azure Innovation 214

Dynatrace

SEPTEMBER 23, 2021

Many good security tools provide that function, and benchmarks from the Center for Internet Security (CIS) are clear and prescriptive. Four types of tools are commonly used to detect software vulnerabilities: Source-code tests that are used in development environments. Source code tests. Let’s look at each type.

Open Source 258

Open Source Benchmarking Best Practices Network 258

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. Organizations should demand an all-in-one approach to monitoring cloud platforms and supporting applications and infrastructure.

Infrastructure 209

Infrastructure Monitoring Virtualization Serverless 209

Dynatrace

OCTOBER 26, 2022

From common coding libraries to orchestrating container-based computing, organizations now rely on open source software—and the open standards that define them—for essential functions throughout their software stack. Most functions in cloud-native applications are things all applications must also do. Why use open source software?

Open Source 199

Open Source Software Software Development 199

Dynatrace

FEBRUARY 10, 2022

Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation and drive agility. They are part of continuous delivery pipelines and examine code to find vulnerabilities. Dynatrace news. In today’s world, the speed of innovation is key to business success. 100% accuracy and zero false positives.

Traffic 239

Traffic Benchmarking Innovation Java 239

Dynatrace

JUNE 2, 2022

Site reliability engineering (SRE) continues to gain popularity as organizations embrace hybrid cloud strategies and IT automation at scale. But research shows that 60% of SREs find they spend most of their time building and maintaining automation code. Dynatrace news.

DevOps 147

DevOps Innovation Engineering Benchmarking 147

Dynatrace

JANUARY 21, 2021

You will then be taken to step 2 where you can enter a promotion code. This is where those paying with Flexpoints will enter the special Flexpoints promotion code provided by your Dynatrace Services Representative by clicking Apply promotion code. Cloud Migration Best Practices / Bridging the gap between legacy & cloud.

Virtualization 191

Virtualization Benchmarking Best Practices Cloud 191

Scalegrid

MARCH 28, 2024

can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses. Benchmarking Cache Speed Memcached is optimized for high read and write loads, making it highly efficient for rapid data access in a basic key-value store. Data transfer technology.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

NOVEMBER 8, 2021

Here’s a brief primer on APM and how it has changed for cloud-native environments, and some tips on what to look for in modern APM solutions. In recent years, APM has expanded to encompass cloud-native environments and distributed applications composed of microservices. But what differentiates one APM offering from another?

Artificial Intelligence 238

Artificial Intelligence Monitoring Infrastructure Cloud 238

Dynatrace

OCTOBER 26, 2022

From common coding libraries to orchestrating container-based computing, organizations now rely on open source software—and the open standards that define them—for essential functions throughout their software stack. Most functions in cloud-native applications are things many other applications must also do. What are open standards?

Open Source 130

Open Source Software Software Development 130

Dynatrace

OCTOBER 26, 2022

From common coding libraries to orchestrating container-based computing, organizations now rely on open source software—and the open standards that define them—for essential functions throughout their software stack. Most functions in cloud-native applications are things many other applications must also do. What are open standards?

Open Source 130

Open Source Software Software Development 130

Dynatrace

APRIL 8, 2021

This is because AWS Lambda provides a relatively low barrier for entry into cloud computing without the need to pursue a whole lift-and-shift operation right away. These served as our benchmark when creating our Lambda monitoring extension. Enterprise-grade observability and root-cause detection for AWS Lambda functions.

Lambda 229

Lambda AWS Serverless Monitoring 229

Dynatrace

APRIL 8, 2021

This is because AWS Lambda provides a relatively low barrier for entry into cloud computing without the need to pursue a whole lift-and-shift operation right away. These served as our benchmark when creating our Lambda monitoring extension. Enterprise-grade observability and root-cause detection for AWS Lambda functions.

Lambda 191

Lambda AWS Serverless Monitoring 191

High Scalability

AUGUST 24, 2021

We believe the only way to maintain and scale our standards is to focus on quality code. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. Bridgecrew is the cloud security platform for developers. Get started for free!

Education 100

Education DevOps Infrastructure Benchmarking 100

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error.

Performance 54

Performance Benchmarking Cache Storage 54

High Scalability

OCTOBER 27, 2021

We believe the only way to maintain and scale our standards is to focus on quality code. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. Bridgecrew is the cloud security platform for developers. Get started for free!

Education 100

Education DevOps Infrastructure Benchmarking 100

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

High Scalability

SEPTEMBER 29, 2021

We believe the only way to maintain and scale our standards is to focus on quality code. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. Bridgecrew is the cloud security platform for developers. Get started for free!

Education 100

Education DevOps Infrastructure Benchmarking 100

High Scalability

SEPTEMBER 15, 2021

We believe the only way to maintain and scale our standards is to focus on quality code. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search. Bridgecrew is the cloud security platform for developers. Get started for free!

Education 100

Education DevOps Infrastructure Benchmarking 100

Brendan Gregg

MARCH 16, 2024

Apart from library code, maybe your application doesn't have frame pointers either, in which case everything is broken. Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway. I haven't used it. (I

Java 145

Java Cache Google Hardware 145

Percona

APRIL 12, 2023

Co-founder Eliot Horowitz recounts ( {coding}bootcamps.io ): “MongoDB was born out of our frustration using tabular databases in large, complex production deployments. The company also releases MongoDB Atlas, promoting it as the most cost-effective way to run MongoDB in the Cloud. 2017: MongoDB goes public, trading as MDB.

Open Source 82

Open Source Programming Database Servers 82

Brendan Gregg

SEPTEMBER 25, 2021

The broken Java stacks turned out to be beneficial: They helped group together the os::javaTimeMillis() calls which otherwise might have have been scattered on top of different Java code paths, appearing as thin stacks everywhere. Without NMI, some kernel code paths (interrupts disabled) can't be profiled. But I'm not completely sure.

Speed 126

Speed Java AWS Virtualization 126

Scalegrid

JULY 13, 2020

Oracle requires more complex ongoing administration, as all database configurations must evolve in conjunction with the data schemas and custom code. Cloud Deployments. Can be deployed on any cloud provider, with a variety of PostgreSQL hosting solutions available. PostgreSQL supports declarative partitioning.

Open Source 244

Open Source Tuning C++ Database 244

Adrian Cockcroft

JUNE 21, 2022

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 petaflops, which is 0.8% of peak capacity.

Architecture 52

Architecture Latency Benchmarking AWS 52

Scalegrid

OCTOBER 31, 2019

If you need help setting up high availability for your PostgreSQL clusters, check out our fully Managed PostgreSQL on AWS , PostgreSQL on Azure , and PostgreSQL Enterprise solutions to automate your database management in the cloud an on-premise. Embed This Image On Your Site (copy code below): Courtesy of: ScaleGrid.

Availability 187

Availability Azure AWS DevOps 187

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. ” Here are additional metrics used to determine the reliability of a database, make adjustments that minimize downtime, and set benchmarks for meeting business continuity requirements.

Availability 108

Availability Database Open Source Hardware 108

Percona

DECEMBER 23, 2022

The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes. If you wonder what is the difference between MyRocks and RocksDB, consider MyRocks as the piece of code, or the glue, that allows MySQL to store data in RocksDB.

Storage 55

Storage Cache C++ Virtualization 55

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Download our eBook, “ Enterprise Guide to Cloud Databases ” to help you make more informed decisions and avoid costly mistakes as you develop and execute your cloud strategy.

AWS 52

AWS Database Serverless Storage 52

Brendan Gregg

FEBRUARY 9, 2018

Cloud provider hypervisor changes (for cloud guests) 1. I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Note that there are potentially four layers of overhead for Meltdown/Spectre, this is just one. They are: 1. Intel microcode updates 1.

Performance 75

Performance Benchmarking Cache Tuning 75

Brendan Gregg

SEPTEMBER 25, 2021

The broken Java stacks turned out to be beneficial: They helped group together the os::javaTimeMillis() calls which otherwise might have have been scattered on top of different Java code paths, appearing as thin stacks everywhere. Without NMI, some kernel code paths (interrupts disabled) can't be profiled.

Speed 52

Speed Java AWS Virtualization 52