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OpenTelemetry Astronomy Shop is a demo application created by the OpenTelemetry community to showcase the features and capabilities of the popular open-source OpenTelemetry observability standard. OpenTelemetry Astronomy Shop demo application architecture diagram. To set up the demo using Docker , follow the steps below.
OpenTelemetry is an exciting opensource observability standard that provides a common collection of tools, APIs, and SDKs to help collect observability signals. The demo has been in active development since the summer of 2022 with Dynatrace as one of its leading contributors. OpenTelemetry demo application architecture diagram.
Open-Sourcing a Monitoring GUI for Metaflow, Netflix’s ML Platform tl;dr Today, we are open-sourcing a long-awaited GUI for Metaflow. link] Metaflow is a full-stack framework for data science that we started developing at Netflix over four years ago and which we open-sourced in 2019.
Some time ago Federico Toledo published Performance Testing with OpenSource Tools- Busting The Myths. Otherwise we wouldn’t see so many commercial tools built on the top of opensource including BlazeMeter (it is ironic that the article is posted on the BlazeMeter site), Flood, and OctoPerf.
But as more workloads are shifting to hundreds of separate cloud-based services running in containers across multiple platforms, observability has become exponentially more difficult. OpenTelemetry is a free and opensource take on observability. What is OpenTelemetry?
Self-Service Progressive Delivery of Microservices, Automated SLI/SLO based Quality Gates, Continuous Feedback through ChatOps and Automatic Remediation of Production Issues are some of the capabilities you expect from a modern cloud-native software delivery platform. The recent improvements released in Keptn 0.6, More Keptn Use Cases.
Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. Opensource has also become a fundamental building block of the entire cloud-native stack. Why cloud-native applications, Kubernetes, and opensource require a radically different approach to application security.
Those in the observability space are no strangers to OpenTelemetry (OTel) , a vendor-neutral, opensource project of the Cloud Native Computing Foundation (CNCF). Since its inception, it has become one of the CNCFs most active opensource projects second only to Kubernetes.
Scaling experiments with Metaboost bindingsbacked by MetaflowConfig Consider a Metaboost ML project named `demo` that creates and loads data to custom tables (ETL managed by Maestro), and then trains a simple model on this data (ML Pipeline managed by Metaflow). This has been a guiding design principle with Metaflow since its inception.
As applications transform to be more distributed across multiple cloud environments, it becomes more important—and more difficult—to make them observable. We also introduced our demo app and explained how to define the metrics and traces it uses. We also defined the metrics and traces for our demo application using OpenTelemetry.
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. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.
In my current work, I spend a lot of time with keptn – an OpenSource Control Plane for Continuous Deployment and Automated Operations. I have been using it at my current tour through different conferences ( Devoxx , Confitura ) and meetups, ( Cloud Native , KraQA , Trojmiasto Java UG ) where I’ve promoted keptn.
Autonomous Cloud Enablement (ACE) and Keptn – the Event-Driven Autonomous Cloud Control Plane – are helping our Dynatrace customers to automate their delivery and operations processes. There’s more from Christian and the rest of the Keptn and Autonomous Cloud community that we can all benefit from. Dynatrace news.
OpenTelemetry , the opensource observability tool, has become the go-to standard for instrumenting custom applications to collect observability telemetry data. We also introduced our demo app and explained how to define the metrics and traces it uses. And that’s where Dynatrace OneAgent comes in. What is OneAgent?
As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. It coincides with the advent of complex, distributed cloud technologies such as microservices and containers. Opensource automated browser and testing tool. Atlassian Jira.
Traditional debugging approaches, logs, and occasional remote breakpoint instrumentation cant easily keep pace with cloud-native AI deployments, where performance, compliance, and costs are all on the line. How can you gain insights that drive innovation and reliability in AI initiatives without breaking the bank?
ConsoleMe: A Central Control Plane for AWS Permissions and Access By Curtis Castrapel , Patrick Sanders , and Hee Won Kim At AWS re:Invent 2020, we opensourced two new tools for managing multi-account AWS permissions and access. They are the one-stop-shop for cloud permissions and access. This happened for us at Netflix.
In part one of this series , I talked through the common pain points software delivery teams face as they’re asked to support cloud adoption and modernization initiatives. When the SLO evaluation is requested, the Cloud Automation service simply reads the SLOs and SLIs that were defined within the dashboard. Blog series use cases.
Reducing downtime, improving user experience, speed, reliability, and flexibility, and ensuring IT investments are delivering on promised ROI across local IT stacks and in the cloud. Cloud services, mobile applications, and microservices-based application environments offer unparalleled flexibility for developers and users.
Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Dynatrace news.
At the same time, cloud-native technologies and open-source software have introduced a new level of speed and complexity. To reduce their backlogs, some companies focus on the most popular open-source components, and some only address vulnerabilities that appear after a certain date. Dynatrace news.
Organizations are shifting towards cloud-native stacks where existing application security approaches can’t keep up with the speed and variability of modern development processes. In cloud-native application stacks, everything is code. For more information visit our web page and watch the demo or read my Application Security blog.
The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. 05:00 – Quick Start – Connect Cloud Automation.
In this post, I’ll explain why Dynatrace and others started the OpenFeature initiative to address these issues and donated it to the Cloud Native Computing Foundation (CNCF) to make feature flagging an open standard. Experience an OpenTelemetry-based in-browser demo of OpenFeature. Prefer to watch than read?
Kubernetes is an open-source orchestration engine for containerized applications that help to automate processes such as scaling, deployments, and management with greater efficiency. . Managing Kubernetes clusters across hybrid environments either in your data centers or in the cloud. . What is Kubernetes? What is Amazon EKS?
These challenges make AWS observability a key practice for building and monitoring cloud-native applications. Because of its matrix of cloud services across multiple environments, AWS and other multicloud environments can be more difficult to manage and monitor compared with traditional on-premises infrastructure. Watch demo now!
The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world. Opensource logs and metrics take precedence in the monitoring process. Curious to see how you can simplify your cloud and maximize the impact of your digital teams today?
Falco is an open-source, cloud-native security tool that utilizes the Linux kernel technology eBPF , to generate fine-grained networking, security, and observability events. In the following sections, we demo the following: Introduce Unguard, our insecure cloud-native microservices demo application.
by Jason Koch , with Martin Spier , Brendan Gregg , Ed Hunter Improving the tools available to our engineers to help them diagnose, triage, and work through software performance challenges in the cloud is a key goal for the cloud performance engineering team at Netflix. Vector is opensource and in use by multiple companies.
With the increasing complexity of cloud-native environments, the number of observed signals grows, as does the effort required for humans to find and analyze these signals. Henrik Rexed, Open-Source Advocate. This increased complexity makes it impossible to analyze all relevant situations.
Organizations seeking ways to capitalize on the cloud computing delivery model also look to shorten development cycles without sacrificing superior user experience. Yet as a platform, it is in no way considered a standalone environment, containing all the functionality needed for Cloud Native development.
Observability platforms are becoming essential as the complexity of cloud-native architectures increases. The open-source observability framework, OpenTelemetry , provides a standard for adding observable instrumentation to cloud-native applications. Observability tools and an observability platform: better together.
One highlight from the conference was the introduction of the open-source project called Keptn which Dynatrace is leading. It helps organizations deliver cloud-native applications by reducing the maintenance of complex pipelines. However, we know that not everyone is ready just yet for full-scale Keptn. Try it yourself.
According to IDC, the requirement of the digital economy to deliver high-quality applications at the speed of business has driven a shift to highly modular, distributed, and continuously updated microservices-based architectures that use cloud-native technologies. PurePath also supports the latest cloud-native architectures.
For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. Another source reported a 43% overall increase in Prometheus adoption for the last six months of 2021. What is Prometheus?
Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services. Why cloud-native applications make APM challenging. Cloud-native apps also produce many kinds of data.
I maintain an Open-source project called MDX Embed , you’ll see from the docs site that it’s not a Gatsby website. You can read more about how I did that here: Monetize Open-Source Software With Gatsby Functions And Stripe. If you’d prefer to jump ahead, the finished demo API code can be found on my GitHub.
But cloud transformation makes detecting the epicenter of a failure much more challenging, as outages can be caused by your cloud provider, a third party helping deliver personalized experiences, your content delivery network (CDN), and many other services you may be leveraging. But they also introduce exponential complexity.
Kubernetes (k8s) provides basic monitoring through the Kubernetes API and you can find instructions like Top 9 OpenSource Tools for Monitoring Kubernetes as a “do it yourself guide”. MaaSS for Cloud Architects: Deployment and Architecture Validations. Full-stack observability. End-to-end code-level tracing. End-user monitoring.
We’re excited to let you know that we have an OpenSource track at re:Invent this year! Brendan Gregg tours BPF tracing, with opensource tools & examples for EC2 instance analysis. Leigh Capili (DevAdv) demos how to launch apps from Git using Kubernetes orchestration, Ignite virtualization, and GitOps management.
We’re excited to let you know that we have an OpenSource track at re:Invent this year! Brendan Gregg tours BPF tracing, with opensource tools & examples for EC2 instance analysis. Leigh Capili (DevAdv) demos how to launch apps from Git using Kubernetes orchestration, Ignite virtualization, and GitOps management.
It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., Titus, the Netflix container management platform, is now opensource,” [link] Apr 2018 - [Cutress 19] Dr. Ford, et al., “TCP
16% of respondents working with AI are using opensource models. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. We’ll say more about this later.)
This is currently part of our FlameCommander UI, which also runs flame graphs across the cloud. We'll likely opensource the new one at some point and have a post about it on the Netflix tech blog. ## Case study: Facebook Facebook are advanced users of BPF, but deep details of how they run the tools fleet-wide aren't fully public.
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