Prometheus is an open source monitoring solution that collects metrics from the system and its applications. As a developer, you can query these metrics and use them to create alerts, which you can use as a source for dashboards. One example would be using Prometheus metrics with Grafana.
Continue reading Monitoring .NET Core applications on Kubernetes
Apache Kafka is a rock-solid, super-fast, event streaming backbone that is not only for microservices. It’s an enabler for many use cases, including activity tracking, log aggregation, stream processing, change-data capture, Internet of Things (IoT) telemetry, and more.
Red Hat AMQ Streams makes it easy to run and manage Kafka natively on Red Hat OpenShift. AMQ Streams’ upstream project, Strimzi, does the same thing for Kubernetes.
Setting up a Kafka cluster on a developer’s laptop is fast and easy, but in some environments, the client setup is harder. Kafka uses a TCP/IP-based proprietary protocol and has clients available for many different programming languages. Only the JVM client is on Kafka’s main codebase, however.
Continue reading “HTTP-based Kafka messaging with Red Hat AMQ Streams”
What if you needed to provide authentication to several microservices that were written in different languages? You could use Red Hat Single Sign-On (SSO) to handle the authentication, but then you would still need to integrate each microservice with Keycloak. Wouldn’t it be great if a service could just handle the authentication flow and pass the user’s details directly to your microservices? In this article, I introduce a service that does just that!
Continue reading Authorizing multi-language microservices with Louketo Proxy
Well, it finally happened. Despite the added assurances of working with containers and Kubernetes, the old “It works on my machine” scenario reared its ugly head in my .NET Core (C#) code. The image that I created worked fine on my local PC—a Fedora 32 machine—but it crashed when I tried running it in my Red Hat OpenShift cluster.
The error was “Unable to obtain lock file access on /tmp/NuGetScratch.” Let’s take a quick look at what happened, and then I’ll explain how I fixed it.
After a lot of web searching and a discussion with a Red Hat .NET Core engineer, I discovered the underlying problem. It turns out that within a container, the identity used to initially run the program (using the dotnet run command) must be the same for subsequent users.
The problem might be easy to understand, but what’s the solution?
Continue reading “How to fix .NET Core’s ‘Unable to obtain lock file access’ error on Red Hat OpenShift”
Data scientists often use notebooks to explore data and create and experiment with models. At the end of this exploratory phase is the product-delivery phase, which is basically getting the final model to production. Serving a model in production is not a one-step final process, however. It is a continuous phase of training, development, and data monitoring that is best captured or automated using pipelines. This brings us to a dilemma: How do you move code from notebooks to containers orchestrated in a pipeline, and schedule the pipeline to run after specific triggers like time of day, new batch data, and monitoring metrics?
Continue reading From notebooks to pipelines: Using Open Data Hub and Kubeflow on OpenShift
Red Hat OpenShift 4.5 makes it easier than ever to deploy and run event-driven applications that react to real-time information via event notifications. Empowered by OpenShift Serverless, applications come to life through events, scaling up resources as needed (or up to a pre-configured limit), and then scaling back to zero after the resource burst is over.
Continue reading Creating event sources in the OpenShift 4.5 web console
Before we had Spring Boot and similar frameworks, a web app container was the main requirement for deploying Java web applications. We now live in the age of microservices, and many Java applications are developed on top of Quarkus, Thorntail, or Spring Boot. But some use cases still require an old-school web application.
Continue reading Deploy your Java web application into the cloud using Eclipse JKube
Red Hat Advanced Cluster Management (ACM) for Kubernetes offers end-to-end visibility and control for managing your cluster and application lifecycle. Among other features, it ensures security and compliance for your entire Kubernetes domain across multiple data centers and public clouds.
Continue reading Installing Red Hat Advanced Cluster Management (ACM) for Kubernetes
The main goal of Kubernetes is to reach the desired state: to deploy our pods, set up the network, and provide storage. This paradigm extends to Operators, which use custom resources to define the state. When the Operator picks up the custom resource, it will always try to get to the state defined by it. That means that if we modify a resource that is managed by the Operator, it will quickly replace it to match the desired state.
Continue reading Open Data Hub and Kubeflow installation customization
Open Liberty 20.0.0.7 lets you disable the default of returning Lightweight Third-Party Authentication (LTPA) cookies for authentication when using Trust Association Interceptor (TAI) or Simple and Protected GSS-API Negotiation Mechanism (SPNEGO) authentication. You can also disable JSON Web Token (JWT) cookies when using JWT’s single sign-on (SSO) feature. In this article, we introduce these improvements and more in the new Open Liberty 20.0.0.7 release:
Continue reading Flexible single sign-on authentication and more in Open Liberty 20.0.0.7
