Alex Podelko

SEPTEMBER 8, 2020

Some time ago Federico Toledo published Performance Testing with Open Source Tools- Busting The Myths. Otherwise we wouldn’t see so many commercial tools built on the top of open source including BlazeMeter (it is ironic that the article is posted on the BlazeMeter site), Flood, and OctoPerf.

Open Source 223

Open Source Performance Testing Testing Performance 223

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 172

Metrics Monitoring Database Network 172

Adrian Cockcroft

NOVEMBER 26, 2023

For re:Invent 2021 my team (but mostly Elise Greve) persuaded the re:Invent organizers to include Sustainability as a track code, and that was repeated for 2022 and now for 2023. Open source geospatial AI/ML analysis, along with IoT-connected sensors, can provide near real-time data platforms built in the cloud and assist decision-making.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

SEPTEMBER 17, 2019

Kubernetes (k8s) provides basic monitoring through the Kubernetes API and you can find instructions like Top 9 Open Source Tools for Monitoring Kubernetes as a “do it yourself guide”. End-to-end code-level tracing. MaaS for Developers: Understand and optimize your code. Dynatrace news. Full-stack observability.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Tasktop

MARCH 11, 2020

I watched David Intersimone give an amazing demo of JBuilder at Borland’s booth. I was blown away by the graphical user interface designer, which turned hours of my coding controls into a few short drag-and-drop gestures. Months, sometimes years, of failure to create meaningful end-to-end metrics have been remedied almost immediately.

Innovation 52

Innovation Metrics DevOps Government 52

Dynatrace

NOVEMBER 7, 2023

Monitoring-as-code can also be configured in GitOps fashion. Open source logs and metrics take precedence in the monitoring process. In addition, Dynatrace effortlessly collects crucial DORA metrics, SLOs, and business analytics data via its robust unified data platform, Dynatrace Grail™. Better software, faster.

Engineering 274

Engineering DevOps Best Practices Infrastructure 274

Dynatrace

DECEMBER 18, 2020

This year I wrote two open-source apps for Dynatrace users. Agentless RUM, OpenKit, and Metric ingest to the rescue! Agentless RUM allows you to monitor your front-end apps by simply pasting a JavaScript tag into your code. With the SDK you wrap your application code to report Sessions and Actions. Dynatrace news.

Analytics 136

Analytics Metrics IoT Monitoring 136

The Netflix TechBlog

NOVEMBER 23, 2020

In order to design, operate, and measure these networks, we must collect metrics and state data from the thousands of devices that compose them. Towards this end, we created gnmi-gateway , which we have released as an open source project. Where is Cacti for streaming telemetry?

Open Source 186

Open Source Network Transportation Cache 186

The Netflix TechBlog

FEBRUARY 13, 2020

Using the framework we have open sourced, AVIF compression efficiency can be seen at work and compared against a whole range of image codecs that came before it. Brief overview of image coding formats The JPEG format was introduced in 1992 and is widely popular. This is followed by quantization and entropy coding.

Code 212

Code Metrics Efficiency Open Source 212

Dynatrace

APRIL 20, 2022

This new service is a step forward to enhance the user experience with code-driven automation of Kubernetes EKS and the Dynatrace Intelligent Observability Platform. Customers can use EKS Blueprint to quickly and easily bundle a series of open source services when deploying the EKS infrastructure to Amazon Web Services.?EKS

AWS 218

AWS Infrastructure Open Source Best Practices 218

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Avoid lock-in with open-source technologies. Dynatrace news. How Google Cloud Functions works.

Google 222

Google Cloud Serverless Azure 222

Dynatrace

NOVEMBER 4, 2019

In order to accomplish this, one of the key strategies many organizations utilize is an open source Kubernetes environment, which helps build, deliver, and scale containerized Cloud Native applications. As an example, Kubernetes does not deploy source code, nor does it have the capacity to connect application-level services.

Monitoring 217

Monitoring Cloud Metrics Code 217

Dynatrace

NOVEMBER 19, 2020

One highlight from the conference was the introduction of the open-source project called Keptn which Dynatrace is leading. Keptn is an event-based platform for continuous delivery and automated operations to help developers focus on code instead of witting tons of configuration and pipeline files. Jenkins code libraries.

Software 143

Software Software DevOps Open Source 143

Dynatrace

APRIL 6, 2022

Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance. Watch webinar now!

DevOps 231

DevOps Innovation Infrastructure Analytics 231

The Netflix TechBlog

JUNE 25, 2021

In this blog post, we are thrilled to share that we are open-sourcing one such tool: the Netflix Data Explorer. See our integration with Metrics later in this article.) Data Explorer architecture and service adapter layers Demo Environment Deploying a new tool in any real-world environment is a time commitment.

Metrics 152

Metrics Best Practices Strategy Design 152

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

Artificial Intelligence 178

Artificial Intelligence Metrics Architecture DevOps 178

The Netflix TechBlog

FEBRUARY 20, 2019

Vector is open source and in use by multiple companies. Vector is an open-source host-level performance monitoring framework which we have been using for some time. Vector is an open-source host-level performance monitoring framework which we have been using for some time. to the broader community.

Performance 211

Performance Latency Open Source Metrics 211

Smashing Magazine

NOVEMBER 17, 2022

Images are crucial elements for performance and UX, and data extracted from Core Web Vitals metrics such as Largest Contentful Paint , which attempts to identify the most important piece of the above-the-fold content on a given page, proves this. Mobile image transfer size by year graphic from Media, Images, Web Almanac 2021 chapter.

Media 109

Media Cache Website Mobile 109

Dynatrace

NOVEMBER 4, 2019

In order to accomplish this, one of the key strategies many organizations utilize is an open source Kubernetes environment, which helps build, deliver, and scale containerized Cloud Native applications. As an example, Kubernetes does not deploy source code, nor does it have the capacity to connect application-level services.

Monitoring 100

Monitoring Cloud Metrics Code 100

Dynatrace

JULY 9, 2020

Gone are the days for Christian manually looking at dashboards and metrics after a new build got deployed into a testing or acceptance environment: Integrating Keptn into your existing DevOps tools such as GitLab is just a matter of an API call. Monitoring Configuration as Code. Incident Notification and Auto-Remediation.

Cloud 188

Cloud DevOps Azure Architecture 188

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Dynatrace news. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Smashing Magazine

MAY 20, 2020

It’s happening because of new features being added and the fact that we sometimes don’t have a second thought on packages that we constantly add and update, or think about the complexity of our code. Which metrics should I use?” Which values of these metrics are acceptable?”. We can’t afford to have a slow app.

Performance 100

Performance Metrics Best Practices Code 100

KeyCDN

OCTOBER 31, 2018

In addition to allowing you to create web applications without the need for a server, this tool supports all of the advanced features you’d expect from a modern IDE like code hinting and completion. Eclipse PDT Though originally intended for Java coding, Eclipse can be extended to support PHP with the PDT plugin.

Development 57

Development Open Source Java AWS 57

Smashing Magazine

FEBRUARY 8, 2022

That was a technical demo of another rempl tool made by Roman Dvornov. We don’t need the second export, so we can painlessly remove it without harming the bundled code. With detailed code walkthroughs , hands-on examples and common gotchas — all broken down into short, manageable lessons. Sergey Melukov. More after jump!

Storage 81

Storage Code Metrics C++ 81

Dynatrace

JULY 11, 2019

In my current work, I spend a lot of time with keptn – an Open Source Control Plane for Continuous Deployment and Automated Operations. As I highlight the keptn integration with Dynatrace during my demos, I have rolled out a Dynatrace OneAgent using the OneAgent Operator into my GKE cluster. Automated Metric Anomaly Detection.

Open Source 42

Open Source Metrics Monitoring Cloud 42

Tasktop

JUNE 20, 2019

Developers are also highly impacted by activities that happen downstream from code-commit, like testing, deployment, customer support, and operations. This gives teams the opportunity to discuss and determine prioritization policies, workflow design, and metrics used to measure team performance. Learn more.

Development 45

Development DevOps Google Innovation 45

Smashing Magazine

APRIL 29, 2021

Largest Contentful Paint (LCP) is a Core Web Vitals metric that measures when the largest contentful element (images, text) in a user’s viewport, such as one of these images, becomes visible. Cumulative Layout Shift (CLS, a Core Web Vitals metric) measures the instability of content. Lighthouse. Large preview ). Large preview ).

Media 145

Media Network Metrics Mobile 145

CSS - Tricks

OCTOBER 10, 2019

WebPageTest is an online tool and an Open Source project to help developers audit the performance of their websites. However, this solution can sometimes be out of reach: you may not have access to the source code of the application, or may not be able to deploy new versions quickly. I call these my testing recipes.

Performance Testing 51

Performance Testing Testing Performance Open Source 51

Smashing Magazine

JANUARY 11, 2021

LogRocket tracks key metrics, incl. Have we optimized enough with tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, progressive hydration, clients hints, HTTP/3, service workers and — oh my — edge workers? Getting Ready: Planning And Metrics.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. Table Of Contents. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. Table Of Contents. Quick Wins.

Performance 105

Performance Cache Metrics Network 105