OpenTelemetry is enabling a revolution in how Observability data is collected and transmitted. See our What Is OpenTelemetry post on why this is an important inflection point in the Observability space. In this post, we’ll walk through how to configure the OpenTelemetry Gems within a Rails app.
OpenTelemetry was launched in May 2019, as a merger of the OpenCensus and OpenTracing projects. The open-source, vendor-neutral project resides within the Cloud Native Computing Foundation (CNCF), which virtually ensures its longevity and widespread adoption. In fact, OpenTelemetry has gained significant traction in recent years, with support from many major cloud providers and the tech industry.
Avoiding vendor lock-in is a ‘must’ when it comes to working with new services. Those in ITOps, DevOps, or as an SRE also don’t want to be tied to specific vendors when it comes to their telemetry data. And that’s why OpenTelemetry’s popularity has surged lately. OpenTelemetry prevents you from being locked into specific vendors for the agents that collect your data.
Observability is a term that has been thrown around a lot in the past few years in the software development industry. Different people use it in different ways, but one thing that is clear is that it attempts to provide a solution to a real pain engineers are feeling. It is the pain of not knowing what is happening in the microservices architecture and how and why systems are behaving in production.
AppSignal integrates seamlessly with Prisma via OpenTelemetry to give you invaluable insights into how your application is performing. In this blog post, we'll outline how you can use AppSignal to optimize your application's Prisma integration, mitigate inefficient database queries, spot anomalies, and improve your application's scalability.
At KubeCon Europe, it was announced that Elastic Common Schema (ECS) has been accepted by OpenTelemetry (OTel) as a contribution to the project. The goal is to achieve convergence of ECS and OpenTelemetry’s Semantic Conventions (SemConv) into a single open schema that is maintained by OpenTelemetry. This FAQ details Elastic’s contribution of Elastic Common Schema to OpenTelemetry, how it will help drive the industry to a common schema, and its impact on observability and security.
At Lightstep, we’ve seen many organizations grapple with “cloud-native sticker shock” as they come to understand that these complex systems require sifting through massive amounts of data across architectures and proprietary solutions. In today’s macroeconomic environment, organizations are looking to reduce costs while driving innovation, especially when it comes to cloud-native applications.
Hey.NET engineers! Today, we’ll explore the world of OpenTelemetry, focusing on how it can benefit your.NET applications. We’ll talk about the strengths and weaknesses of OpenTelemetry, walk you through the setup process, discuss the basics, and share some best practices. Plus, we’ll touch on topics like auto-instrumentation, metrics, and more. So, let’s dive in!
Our OpenTelemetry data generator provides a seamless product-validation experience across all teams working in AppDynamics Cloud. OpenTelemetry™ is a complete telemetry system for monitoring both modern, distributed architectures in the cloud and more traditional on-prem applications.
In this second (and final) segment, we continue to show how our OpenTelemetry data generator provides a seamless product-validation experience across all teams working in AppDynamics Cloud. In the first part of this two-blog series, we provided a high-level overview of OpenTelemetry™ (or OTel). a complete telemetry system for monitoring both modern, distributed architectures in the cloud and more traditional on-prem applications.
Applications are increasingly switching from the traditional monolithic design to a modern microservices-based design with several operational benefits. However, it also introduces challenges as conventional methods for collecting metrics and logs become ineffective due to the application design’s distributed nature.
Well howdy there partner, Phillip here with a rootin’ tootin’ OTel update for ya, right on time for Kubecon EU!
Within enterprises, it used to be that applications ran on a single server. Owners could directly monitor that discrete machine, conveniently access all the logs they needed, see all the metrics that mattered, and hit the reboot button, without needing to confer with “everyone.” Those days are gone. Modern application architectures stretch the definitions of the words “federated” and “distributed.” We now have distributed applications.
The AWS CDK lets users build as Infrastructure as Code (IaC) reliable, scalable, and cost-effective applications in their cloud environments. With the AWS CDK, developers can use various supported programming languages to create constructs (reusable cloud components) and compose them together into stacks and applications.
Web applications have expanded over the past ten years to support millions of users and generate terabytes of data. Customers of these programmes anticipate quick responses and round-the-clock accessibility. When businesses adopt service-oriented architectures and give up monolithic workloads, they are stepping into the uncharted ground.
It is commonplace for organizations to restrict their IT systems from having direct or unsolicited access to external networks or the Internet, with network proxies serving as gatekeepers between an organization’s internal infrastructure and any external network. Network proxies can provide security and infrastructure admins the ability to specify specific points of data egress from their internal networks, often referred to as an egress controller.
Microservices architecture has become the new norm for modern applications due to its numerous advantages compared to traditional monolithic architecture. However, microservices also come with several challenges. Especially when it comes to observability, traditional monitoring tools and techniques can no longer handle microservices’ distributed and dynamic nature.
Python app monitoring and debugging can be challenging. Using distributed tracing and OpenTelemetry visualization minimizes MTTR and improves developer experience, as seen in this article.
