Dynatrace

DECEMBER 18, 2023

T he testing stage plays a crucial role in ensuring the quality of newly built code through the execution of automated test cases. Testing includes integration tests, which assess whether the code functions as intended when interacting with other services and application functionalities.

Testing 306

Testing Best Practices Performance Testing Engineering 306

Dynatrace

JUNE 4, 2024

To provide automated feedback for developers, the concept of quality gates for static code analysis in continuous integration is widely adopted throughout the industry. The developer must pause their current engineering work to address the reported issue and consider the code changes they worked on a few days or weeks prior.

Metrics 297

Metrics Engineering Code Tuning 297

DZone

MARCH 21, 2022

Testers use regression testing to stabilize the product for faster releases and quickly fix issues after migrating the code to the production environment. Automation testing has numerous benefits in comparison to manual testing. Automating increases the effectiveness of processes, expedites execution, and maximizes test coverage.

Testing 246

Testing Efficiency Software Software 246

DZone

SEPTEMBER 4, 2019

We also describe the methodology used and there is a GitHub repo where you can see the code used. The following popular data grids were used in this comparison: You may also like: Examples of Data Grids, Compute Grids, Service Grids, and Executing SQL Queries. The Grid Components.

Performance 229

Performance Code 229

DZone

FEBRUARY 27, 2021

There were languages I briefly read about, including other performance comparisons on the internet. According to other comparisons [Google for 'Performance of Programming Languages'] spread over the net, they clearly outshine others in all speed benchmarks. These include Python, PHP, Perl, and Ruby. Ahem, Slow!

Java 214

Java C++ Benchmarking Programming 214

The Netflix TechBlog

JUNE 13, 2023

We can determine A/B test membership in either device application or backend code and selectively invoke new code paths and services. One can perform this comparison live on the request path or offline based on the latency requirements of the particular use case.

Traffic 282

Traffic Metrics Systems Strategy 282

Dynatrace

NOVEMBER 28, 2023

Deploy stage In the deployment stage, the application code is typically deployed in an environment that mirrors the production environment. This step is crucial as this environment is used for the final validation and testing phase before the code is released into production.

Traffic 279

Traffic Best Practices Strategy Engineering 279

Dynatrace

JULY 13, 2021

Service-level indicators (SLIs) are checked against your SLOs early in the lifecycle, including comparison against previous builds. Automated comparison of different timeframes based on SLIs and SLOs. By identifying degradation in quality early in the lifecycle, remediation actions can be triggered automatically. .

Cloud 246

Cloud DevOps Benchmarking Speed 246

Dynatrace

DECEMBER 27, 2022

To learn more about how to use SLOs to automate DevOps processes, join us for the on-demand performance clinic, Automating SLOs as code–from Ops to Dev with Dynatrace. To see these principles in action, check out our videos about implementing service-level objectives. 7 Steps to identify effective SLOs.

Software 306

Software Software Benchmarking Latency 306

Dynatrace

FEBRUARY 10, 2021

Dynatrace Cloud Automation leverages the AI and automation capabilities of the Dynatrace Software Intelligence Platform to enhance development, DevOps, and SRE teams’ processes with: Automated SLO validation and quality gates , to ensure high-quality code moves smoothly through the delivery pipeline and does not violate error budgets in production.

Cloud 242

Cloud DevOps Speed Metrics 242

Dynatrace

NOVEMBER 10, 2021

Security vulnerabilities are checked throughout the lifecycle, including comparisons against previous releases. Introducing release validations into your continuous delivery pipeline allows for automated analysis of the quality of your new software versions and planned releases.

Serverless 246

Serverless DevOps Cloud Metrics 246

Scalegrid

JUNE 30, 2020

Case-insensitive indexes support queries that perform string comparisons without regard to the letter case. Collation gives you the ability to specify language-specific rules for string comparison. How to Create Case-Insensitive Indexes in MongoDB. Learn more. How to Stop a Runaway Index Build in MongoDB.

Database 188

Database Performance Code Availability 188

Dynatrace

NOVEMBER 14, 2023

The Cloud Native Computing Foundation defines a Golden Path as a “templated composition of well-integrated code and capabilities for rapid project development.” With Dynatrace, this can be achieved by extracting an instantiated template using Dynatrace Configuration as Code or cloning it from our public repository.

Government 246

Government Best Practices DevOps Engineering 246

Dynatrace

SEPTEMBER 27, 2024

A secure access management system for code repositories and pipeline configurations is necessary, as these are among the organization’s most valuable assets and must be protected from accidental access. Standardized reporting across all CI/CD vendors for easy comparison, including jobs/Errors/Duration charts for Pipelines/Stages/Steps.

Government 246

Government DevOps Azure Scalability 246

Daniel Lemire

FEBRUARY 8, 2019

In concrete terms, here is the C code to compute the remainder of the division by some fixed divisor d : uint32_t d =. ; // your divisor > 0. A line of code like (n % d) = 0 is typically compiled to the computation of the remainder ( (n % d) ) and a test to see whether it is zero. I make my benchmarking code available.

C++ 279

C++ Benchmarking Hardware Testing 279

CSS Wizardry

OCTOBER 16, 2023

In our specific examples above, the one-big-file pattern incurred 201ms of latency, whereas the many-files approach accumulated 4,362ms by comparison. Compile: the parsed code is compiled into optimised bytecode. Execute: the code is now executed, and does whatever we wanted it to do. That’s almost 22× more!

Cache 353

Cache Latency Strategy Speed 353

Dynatrace

APRIL 21, 2022

In comparison, the Dynatrace platform reliably takes that burden off human operators by utilizing its causation-based AI engine, Davis. Using high-fidelity metrics, logs, code-level tracing, and a dynamic topology map of your applications, Davis can identify the precise root cause and prioritize its business impact. Reliability.

Azure 246

Azure Monitoring Virtualization Metrics 246

Dynatrace

OCTOBER 30, 2023

With a unified log management and analytics platform like Dynatrace, application teams gain a holistic view of distributed traces, user sessions, code-level visibility, and logs—all within the context of the error or security vulnerability they aim to resolve. In Grail, this data resides in business events historical logs.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. With shift-right, teams can test code in an environment that mimics real-world production conditions that can’t be simulated in development. Dynatrace news.

DevOps 246

DevOps Testing Monitoring Speed 246

Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. With shift-right, teams can test code in an environment that mimics real-world production conditions that can’t be simulated in development. Dynatrace news. Watch webinar.

DevOps 246

DevOps Testing Monitoring Speed 246

Dynatrace

NOVEMBER 9, 2021

Observability provides deeper technical insights into what’s happening within cloud environments, in comparison to APM and/or traditional monitoring methods. Traditional approaches and tooling simply don’t work in the new cloud world. Dynatrace approaches observability to address these challenges head-on.

DevOps 246

DevOps Innovation Cloud Programming 246

Dynatrace

DECEMBER 2, 2021

Impact : This issue affects only those extensions that use native libraries called from Python code distributed with the extension. Log queries using comparison operators like `<` and `>` are now correctly rejected as unsupported. (APM-329649). Sometimes the Python virtual machine crashes. Extension-specific advisory.

Lambda 246

Lambda Azure Metrics Monitoring 246

Dynatrace

FEBRUARY 9, 2023

The comparison to an iceberg is appropriate in this case. Going forward, you will even be able to use our monitoring-as-code approach to configure alerts in a GitOps fashion. More and more companies are moving to containers and using Kubernetes in its various forms as their container platform of choice. How can I get this feature?

Open Source 246

Open Source Metrics Monitoring Technology 246

The Morning Paper

OCTOBER 1, 2020

To our knowledge, this is the first exploration of a practical general purpose real number type that both reflects the mathematical laws of the real numbers, and also supports exact comparisons in situations in which that’s normally expected. It’s the key to being able to make exact comparisons as often as possible.

Java 143

Java Open Source Hardware Testing 143

Dynatrace

FEBRUARY 15, 2023

DevOps achieve safer and more secure releases by applying a gating mechanism that identifies release issues quickly and prevents poor-quality code from being promoted to production. Davis will also assist Site Reliability Guardian in recommending relevant objectives and baselines for comparison.

DevOps 246

DevOps Latency Traffic Best Practices 246

The Netflix TechBlog

APRIL 17, 2019

Reference software serves as the basis for standard development, a framework, in which the performance of video coding tools is evaluated. The open-source encoder should also enable easy experimentation and a platform for testing new coding tools. Furthermore, unit tests will cover new code.

Open Source 166

Open Source Scalability Speed Efficiency 166

Dynatrace

OCTOBER 8, 2024

In an era dominated by automated, code-driven software deployments through Kubernetes and cloud services, human operators simply can’t keep up without intelligent observability and root cause analysis tools. This aids in assessing Davis-detected root causes and prioritizing remediation efforts.

Infrastructure 264

Infrastructure Cloud Speed Architecture 264

The Netflix TechBlog

FEBRUARY 20, 2019

Real-time scheduler run queue latency and tcp throughput charts after starting a wget download Many thanks to the great work by Andreas during his 2018 Google Summer of Code project. This makes it much easier for engineers to get the graphs they want arranged in a manner for comparisons and to focus in the required areas.

Performance 213

Performance Latency Open Source Metrics 213

Percona

FEBRUARY 6, 2024

To be honest, the comparison between the two MySQL distributions is not something that excited me a lot. Mainly because from my MySQL memories, I knew that there is not a real difference between the two distributions when talking about the code base.To

Code 118

Code Benchmarking Servers Development 118

The Netflix TechBlog

AUGUST 24, 2022

By performing this paired comparison, we see a statistically significant lift in play rate for small to medium budget user budget ranges. Paired comparison between RL and Contextual bandit. Below is result of the paired comparison between SARSA and Q-Learning, Paired comparison between Q-Learning and SARSA.

Metrics 182

Metrics Systems Architecture Processing 182

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. Comparison Overview. Let’s take a look at core functionality of these two relational database management systems.

Open Source 244

Open Source Tuning C++ Database 244

SQL Performance

DECEMBER 11, 2019

Like them or not, as a database practitioner you often have to deal with them, and given that NULLs do add complexity to your SQL code writing, it's a good idea to make it a priority to understand them well. I start with coverage of what NULLs are and how they behave in comparisons. Comparisons involving NULLs.

Best Practices 117

Best Practices C++ Database Code 117

Dynatrace

OCTOBER 5, 2020

Additional context without code change through request attributes. As I said, the ability to analyze individual PurePaths down to code level is a great capability. The data can be extracted from HTTP request or response headers, method arguments, return values, and more. Diagnosing architectural issues in (micro)service architectures.

Performance 195

Performance Best Practices Architecture Monitoring 195

Dynatrace

JULY 9, 2020

From of our learnings on how we integrated Dynatrace into our DevOps toolchain , we advise our customers to follow our best practices around integrating delivery tools with Dynatrace, enforcing Dynatrace-based quality gates, implementing monitoring as code or automate remediation based on Dynatrace problems. Monitoring Configuration as Code.

Cloud 261

Cloud DevOps Architecture Azure 261

The Netflix TechBlog

FEBRUARY 16, 2021

Operational Efficiency: The majority of the changes require metadata configuration files and library code changes, usually taking days of testing and service release to adopt the updates. Besides, the mixed-use of the metadata files and business logic code adds another layer of maintenance complexity.

Mobile 214

Mobile Engineering Infrastructure Scalability 214

SQL Performance

MARCH 9, 2022

Auctions ( Code , ID ) INCLUDE ( Quantity ) ; -- Enable batch-mode Window Aggregate. Auctions ( ID ) WHERE ID = - 1 AND ID = - 2 ; When describing the logic behind the solutions, I’ll assume the Auctions table is populated with the following small set of sample data: ID Code Quantity -- -. Code = 'D'. )

C++ 138

C++ Code Efficiency Performance 138

Dynatrace

AUGUST 14, 2023

By installing a tracking code on its website or integrating its analytics tool with a third-party e-commerce platform, CMS, or Google Analytics. These sources can include the website or app itself, a data warehouse or a customer data platform (CDP), or social media monitoring tools. An organization may collect this data the following ways.

Analytics 246

Analytics Social Media Website IoT 246