Tanzu Developer Center Blog

Log4Shell Vulnerability Spotlights the Importance of Adopting Trusted Open Source Software Providers for the Enterprise

Martin Perez & Raquel Campuzano Godoy December 21, 2021

On December 9, a vulnerability in one of the most popular Java libraries was revealed. Log4j (version 2) was affected by a zero-day exploit that resulted in Remote Code Execution (RCE), allowing attackers to do remote code execution in vulnerable environments. At this stage, everyone has heard about CVE-2021-44228, also known as Log4Shell.

Log4j is a library prevalent in Java ecosystems used by millions of applications everywhere, so the impact of this CVE has been massive. Proof of its impact is the high CVSS score given to this CVE: 10 out of 10.

Also, products from major cloud vendors, such as AWS, Intel, Cisco, RedHat, and even VMware, have been largely affected by the vulnerability. The impact on businesses was enormous, causing most engineering and operations teams to stop their daily activities and product development in order to prioritize applying patches coming from upstream projects and patching their own in-house built software to attend to this critical vulnerability. Considering the potential effects and risks that this vulnerability can have on applications and sites built using this library, the team behind Log4j immediately started to work on a fix.

In this blog post, we go over the responses and mitigations that have been released, how some of them didn’t solve the problem, and which patches are available to keep your installations secure against this …

Layla Porter November 30, 2021

If you’re a C# developer, you’ll recognise the oftentimes extensive list of using directives at the top of a .cs or .razor file. You’ll have also most likely considered a way to obfuscate them - maybe in a #REGION, maybe a setting in an IDE. Many are duplicated across multiple files; I’m looking at you, System, and all your little derivatives!

Although there is nothing inherently wrong with this, it’s been a convention since 2002, it just takes up a lot of screen space at the top of every file.

With C# and .NET 6, however, all that can change…

Cover image

Introducing the new Global Using Directive!

Before you can start making use of Global Using Directive, you will need:

The .NET 6 SDK installed
An IDE of your choice as long as it supports .NET 6

Creating a global usings file

Many of the most common using directives will already be in a global format out of the box, known as “implicit using directives”, but I find this obfuscation a little confusing.

Implicit using directives will mean the compiler automatically adds a set of using directives based on the project type, meaning the most common libraries will be available out-of-the-box. For example, in a console application, the following directives are implicitly included in the application:

using System;
using System.IO;
using System.Collections.Generic;
using System.Linq;
using System.Net.Http;
using System.Threading;
using …

Steven Pousty November 18, 2021

Most of us do application development work on our local machine. We also come to understand that HTTPS (TLS/SSL) is the new standard for all our web applications. But we often skip using them on our local machine because either: \

We don’t think it is important for our local development
We don’t understand the process and how to do it on our local machine

The reason why you should care about it for local development is:

Every difference between your local development and production adds to the risk that your code won’t run in production.

This post will help you understand the process and set you up to grok what you are doing when you do the actual commands to make this work on your local machine. This post is NOT going to talk about certificates in production or in a public key infrastructure (PKI). While many of the concepts are similar, the security implications are much more serious once you move past just your local machine.

What this post covers (and what it doesn’t)

We will start by talking about TLS/SSL for web applications. You may also know that you can use TLS/SSL for connecting database (DB) client software to the DB server. Finally, certificates are highly used in Kubernetes, even if you are running it on your local machine. As an application developer, it is getting harder and harder to ignore the use of TLS/SSL in your daily development work. And to make …

Raquel Campuzano & Juan Ariza November 15, 2021

First published on https://blog.bitnami.com/2021/11/deploy-applications-with-confidence-vmware-application.html.

As more organizations adopt Kubernetes as the preferred infrastructure for running their IT resources, enterprise SRE teams tend to adopt a GitOps mindset.

The GitOps approach consists of embracing different practices that manage infrastructure configuration as a code. This means that Git becomes the single source of truth and as such, all operations are tracked via commits and pull requests. Thus, every action performed on the infrastructure will leave a trace and can be reverted, if needed.

These practices bring a lot of benefits to IT admins, since automation and ease of managing Kubernetes configurations are extremely important to them.

Despite this, there’s a high probability of discovering security risks when managing the access to the applications running in a Kubernetes cluster. This is where Sealed Secrets comes in. Sealed Secrets is a Kubernetes controller and a tool for one-way encrypted secrets.

Why Should Every Cluster Controller Use Sealed Secrets to Protect Their Deployments?

When cluster operators and administrators follow the GitOps approach, they find that they can manage all Kubernetes configurations through Git except for secrets. Sealed Secrets solves this problem by encrypting the secret into a new Kubernetes object called “SealedSecret” …

Dodd Pfeffer November 5, 2021

Modern application teams that release frequently to production find that dynamic service routing is a crucial capability. Deployment strategies like blue-green and canary are dependent upon routing. These strategies involve multiple concurrent “versions” of a service to be deployed and routing rules to determine how traffic is sent to each version. Ideally the routing rules are exposed as an API and can be managed via an application operator, or even better, with automation.

Taking this to the next level of detail, let us look at a number of use cases:

Within a “strangler fig pattern” modernization effort, gradually adjust traffic volume toward a new service while monitoring performance SLAs and functional efficacy.
Implement an A-B testing pattern among alternative implementations of the same service endpoint based upon a weighted distribution, timeframes, or a calling system IP address.
Route a small percentage of traffic toward “canary” deployments as part of a continuous delivery processes.
Expose the latest release version for testing without exposing it to the general user base.
If a new release-related defect has been identified impacting only iPhone users, route all requests from iPhones to the previous released version.

These are realistic and common requirements, and the solution domain spans several aspects of a distributed and complex system of cloud technologies. …

Rich Lander November 3, 2021

Well, of course you do! It’s the reason you enrolled in online training, became part of the Kubernetes Community and read case studies on all things Kubernetes. You put a lot of time and effort into learning how to build a Kubernetes Operator to manage software and reduce operational toil for your company.

Get ready for all your hard work to pay off. You are about to build a Kubernetes Operator. Your first order of business is to assemble a team of Kubernetes enthusiasts. There are some things that the team is collectively going to need to discuss, including the foundational feature set for building the operator, and the type of operations that the operator is going to control like upgrades, backups, restores, and failovers. It’s also a good idea to collaborate over design considerations so that the team is effectively working with, and not fighting against, Kubernetes patterns.

Assemble a Development Team to Build the Operator

Assemble a development team that collectively know how to use:

Kubernetes and the Kubernetes Control Plane.
The programming language and tools to build the operator.
The application the operator is going to control.

Keep in mind that the operator you are building is an extension to the Kubernetes control plane. Understanding how that control plane works so that you can seamlessly extend it is crucial. Having deep knowledge and experience in both …

Mauricio Salatino October 14, 2021

The Kubernetes tools landscape keeps growing, with more and more companies and projects building specific tools to tackle specific challenges. Making sense of all these tools and how they can be used to build a SaaS platform on top of Kubernetes is a full-time job.

These platforms are commonly built to provision a set of domain-specific components that provide the services (a set of features) that the platform is offering. You might end up having internal “customers,” such as different departments or teams that require new instances of these components, or external customers that are willing to pay for a managed instance of these components. Whether they are internal or external, application platforms should provide a self-service approach, where each customer can access a portal and easily request new instances (that could be via GUI, CLI, and/or whatever is most natural for that user).

Example customer portal for self-service platform allocation

If you are building this kind of platform, and you are also fully invested in Kubernetes, you might want to look for tools that are built on top of the Kubernetes APIs. This way, the solution you build can be run on top of any Kubernetes installation, managed or on-premises.

This blog post covers three different angles that you will need to cover if you are tasked to build one of these SaaS platforms.

Packaging and building your services
Creating isolated instances for your customers …

Rich Lander October 6, 2021

Are you thinking about building an application platform with Kubernetes? If so, this article is for you. It discusses the major platform elements that you should consider. To some degree, every use case is different. You likely have your own edge cases and unique requirements, but by the time you solve the necessary items in this article, you will be familiar enough with the topic to get the job done.

Photo by Mohammad Bagher Adib Behrooz on Unsplash

The first thing to recognize is that Kubernetes is a container orchestrator. Scheduling and running containerized workloads across clusters of machines is a complex concern. Kubernetes uses sophisticated systems to achieve these ends but it’s purpose is fairly narrow. Kubernetes provides interfaces for container networking, persistent storage and container runtime, but it does not solve them directly, or provide enterprise-grade authentication for it’s API. Instead, Kubernetes allows you to configure a webhook to implement this functionality. It does not provide comprehensive tenancy, observability, service routing or policy control systems. Platform services must be installed to provide these.

Therein lies the first pattern to familiarize yourself with when using Kubernetes: it is a supremely extensible and composable system. Kubernetes provides the foundation upon which to build an application platform that meets your organization’s specific needs. It does incur …

Grant Shipley October 4, 2021

Kubernetes is a wonderful piece of software and provides developers capabilities they have not had readily available to them in most organizations. This is a game changer for what developer productivity can look like in the future. I am excited about the commitment of VMware to make Kubernetes accessible to the masses by simplifying not only the operational use of the platform, but also creating and collaborating on tools targeted specifically for developers and their applications.

You see, Kubernetes can and should be more than just a deployment platform for our application code. We should be able to utilize the power and features of Kubernetes for our daily development processes. Think about what you could accomplish if you had the power and flexibility of Kubernetes for your local development before you perform a git push. Think about all of the things you could play with and prototype before kicking off your CI/CD pipelines for a full integration test.

But what good does it do to have a great developer experience on top of Kubernetes if developers don’t have access to Kubernetes to begin with? This is problem No. 1 that we need to address. When VMware wanted to create an open source Kubernetes offering, I knew I had to be part of it. VMware Tanzu Community Edition is the open source project that will bring Kubernetes to a developer workstation near you. Chances are your IT …

Tony Vetter September 27, 2021

You may have noticed a few changes since the last time you visited the Tanzu Developer Center. The team has been hard at work making sure our content is easier to find, and more oriented toward reaching specific objectives. Today, we have launched that redesign!

We started the Tanzu Developer Center with the goal of creating a space where developers could learn about best practices for developing, deploying, and managing applications — applications that are built to take advantage of current platform technologies and frameworks.

Since its launch in June 2020 (see our launch announcement blog, the Tanzu Developer Center has grown to host hundreds of guides and blog posts. Dedicated guides walk readers through how to use specific technologies. Timely blog posts provide thought leadership and new product announcements.

Since then, along with a lot of additional content, we have continued to add functionality to the site to better serve our visitors. In our 1st birthday announcement in June 2021, we discussed changes, such as the addition of Workshops, which gave developers a hands-on way to use technologies with easy-to-follow guides, as well as fully functional environments to experiment in. [Outcomes] brought additional structure to guides by creating content series oriented toward learning more complex concepts.

But with the addition of so much new content and new features, and …

Raquel Campuzano Godoy September 23, 2021

A new Kubeapps release is out, and it is even easier to run in TKG clusters! The last version of Kubeapps necessitated a manual update of the current Pinniped version to the latest. This step is no longer required. Cluster administrators can now configure Kubeapps to use the built-in Pinniped instance to authenticate through the same OIDC provider as they have already installed in their VMware Tanzu™ Kubernetes Grid (TKG) clusters.

Keep reading to learn more about how to benefit from installing the Kubeapps 2.3.4 version.

Advanced Features for Tanzu Users

Kubeapps enables users to consume and manage open-source trusted and validated solutions through an intuitive web-based interface.

With the previous release, Tanzu users gained the ability of deploying Kubeapps directly to TKG workload clusters. This integration allows users to operate Kubernetes deployments through a web-based dashboard both on-premises in vSphere, and in the public cloud on Amazon EC2 or Microsoft Azure.

Kubeapps provides a wide catalog of ready-to-run-on Kubernetes solutions. In addition to the default Kubeapps catalog, Tanzu users have the flexibility to configure either VMware Tanzu™ Application Catalog (TAC) as a private chart repository or any of VMware Marketplace™ Catalog or the Bitnami Application Catalog as public chart repositories. This extends the number of available solutions and sources for …

Ivan Tarin September 21, 2021

Interactive labs with real containers, on real K8s clusters on the latest Spring open source and Tanzu + open source

title image Photo by Nicole Wolf on Unsplash

SpringOne is the leading conference for the most popular and beloved Java framework, Spring. This year’s conference, held September 1–2, was packed with useful information and exciting announcements. In addition to the keynotes and breakout sessions, the self-paced labs had in-depth training on the latest breakthroughs in Spring and related technologies. The labs are made for all skill levels and can be completed even with little Spring knowledge, all within a real environment. Best of all, they are free, and now they will be hosted at the VMware Tanzu Developer Center!

Learning with the labs in the Tanzu Developer Center is a shortcut to leveling up your coding skills and trying new technologies. The labs are responsive and provide a real environment designed to reduce student errors. Your environment exposes containers and real Kubernetes clusters and includes the required packages and tools while avoiding the hassle of setting up a new environment. The labs include an integrated code editor, terminals, and easy-to-follow instructions. This is a big time saver, saving you the trouble of deleting and uninstalling software and tearing down an environment. The SpringOne labs give you the opportunity to test new tech without having …

Tony Vetter September 13, 2021

This post is for getting started with Beta 1. On October 5th 2021, VMware Tanzu Application Platform Beta 2 was released. And since then, other Betas have been released. Get more information on Tanzu Application Platform here.

By now you may have seen the announcement at the recent SpringOne conference for VMware’s new Tanzu Application Platform. You understand the power a platform like this can bring to your production environments, but have you considered what it can do for your inner loop development? Not every commit goes to production. That’s why you need a way to locally deploy and test your changes locally before going to production.

You also need a way to locally evaluate and use the Tanzu Application Platform. You want to understand how it works, and what it can do for your organization before a potential deployment. If this sounds like you, I have a 2-part series on installing and using Tanzu Application Platform Beta 1 locally, using KIND.

Part 1, shows you how to install all the necessary components of the Tanzu Application Platform onto a KIND Kubernetes Cluster.
Part 2, shows you how to access and utilize the Tanzu Application Platform to deploy a sample application.
Both of these guides will heavily leverage the existing install documentation for Tanzu Application Platform, although heavily modified for this specific use case (i.e. deploying in KIND). …

Raquel Campuzano Godoy August 5, 2021

“VMware is pleased to join the Docker Verified Publisher’s program. This provides developers unrestricted access to our artifacts and allows them to safely adopt the popular open-source technologies we’ve made available. We are excited that VMware Tanzu customers, in particular, will benefit from a wider range of complementary services they can leverage as they quickly get apps to market.” - Ashok Aletty, VP Engineering, VMware

In May 2021, Docker, Inc™ announced the launch of its Docker Verified Publisher Program which helps developers recognize trusted publisher software. For development teams, this is huge, since this program simplifies the consumption of secure and verified components for them, as they build their applications.

What is the Docker Verified Publisher Program?

When building container-based applications or deployment templates such as Helm charts, it is a frequent practice to grab pre-built building blocks to quickly create application images. A common concern among developers is to make sure that the pieces being used to build their applications are secure, reliable, maintained and up to date. Nobody wants to spend time fixing security issues or exposing their software supply chain to malicious content.

To make it easier to select robust, trusted, and reliable software when navigating through Docker Hub, Docker has launched the Docker Verified …

Rich Lander July 2, 2021

Kubernetes is the leading trendsetter in the future of autonomous software, having made it possible for companies throughout the world to experience a tremendous reduction in human toil when it comes to all types of software management and deployment.

Kubernetes has a reputation for being a complex software system with high startup costs and an intense learning curve, yet it remains steadfastly popular among companies that made the initial investment and immediately started reaping the benefits of improved efficiency and effectiveness in delivering automated, on-demand software that accelerates time-to-value.

Many of the companies that made the lucrative decision to choose Kubernetes as a distributed software system to manage their applications quickly recognized the value of expanding the power of their Kubernetes ecosystem through Kubernetes operators that reduce operational toil in platform services and tenant workloads.

Reduce operational toil with Kubernetes operators

You can leverage Kubernetes operators to accomplish all types of automated tasks, including software deployments, management, troubleshooting and updates through custom resources to define the state of the system, and custom controllers to reconcile the existing state of the system with the desired state of the system defined in the custom resource.

There’s also an impressive assortment of Kubernetes …

Cora Iberkleid June 28, 2021

Container images enable you to bundle an application with all of its dependencies—soup to nuts, all the way down to the OS file system. Effectively, you are packaging your app and its environment into a single, immutable, and runnable artifact. You can then drop that image onto any container runtime and you’re (nearly) off to the races.

The benefits of taking this approach over deploying an application-only artifact onto a custom and curated environment are well established: greater predictability, repeatability, portability, and scalability, to name just a few. So, what’s the catch? The responsibility of providing the runtime and OS shifts from the ops or IT team that formerly created and maintained the target environment to the dev or DevOps team that is now packaging the application as an image. With this transition, organizations large and small must reimagine how they ensure consistency, security, transparency, and upkeep of these modernized deployable artifacts.

How you build your images is a key part of the answer. Let’s compare two approaches—Dockerfile and Cloud Native Buildpacks—to see how they measure up when it comes to meeting, or exacerbating, these challenges.

What Is Dockerfile?

Dockerfile is the oldest and most common approach for building images. A Dockerfile is a script where each command begins with a keyword called a Dockerfile instruction. Each instruction …

Raquel Campuzano Godoy June 11, 2021

Special thanks to Antonio Gamez and Michael Nelson, members of the VMware Kubeapps Team

The latest version of Kubeapps (v.2.3.2) is now available for deployment on VMware Tanzu™ Kubernetes Grid™ (TKG) workload clusters. VMware Tanzu users already benefit from deploying Kubeapps in several environments and, now with a little configuration Kubeapps can be integrated with your TKG workload cluster.

In addition to this capability, Kubeapps also features full compatibility with the latest versions of Pinniped which means that it can be used with any OIDC provider for your TKG clusters and even in managed clusters such as Azure Kubernetes Service (AKS) and Google Kubernetes Engine (GKE).

Want to know more? Keep reading to discover the latest capabilities of Kubeapps that will enable developers and admin clusters to deploy and manage trusted open-source content in TKG clusters.

A bit of History: What is Kubeapps?

Kubeapps is an in-cluster web-based application that enables users with a one-time installation to deploy, manage, and upgrade applications on a Kubernetes cluster.

This past year, the Kubeapps team has added key new features to support different use cases and scenarios. Firstly, we added support for private Helm and Docker registries and later, in Kubeapps version 2.0, we built support to run Kubeapps on various VMware Tanzu ™ platforms such as Tanzu ™ Mission Control, …

Brian McClain June 1, 2021

My, how time flies. It seems like just yesterday that the Tanzu Developer Center launched. Our initial showing had what we believed at the time to be a wide array of content, from guides to videos to code samples. Over the last 12 months, though, we’ve really seen our content grow.

Tanzu.TV

With shows that run monthly, weekly—even daily—each and every episode is always a great time. Tanzu Tuesdays, for example, hosted by Tiffany Jernigan, features a new guest every week who takes you into a deep-dive of a topic of their choosing, complete with live demos and coding. Code, on the other hand, is a weekly show hosted by the Spring developer advocates, who walk you through complex, real-world scenarios and show you the tools and techniques you can use to solve them. Make sure to check out all of our shows on Tanzu.TV!

Workshops

In September of 2020, we launched self-paced workshops on the Tanzu Developer Center. Complete with your own personal environment right in the browser, these workshops offer hands-on instructions for working with new technologies and techniques. For example, our Kubernetes Fundamentals Workshop teaches you how to prepare and deploy your applications on Kubernetes without having to set up your own cluster or install anything locally.

VMware Tanzu Labs Practices

VMware Tanzu Labs has actually been around for a long, long time. Previously known as VMware …

Tony Vetter April 30, 2021

Greetings KubeCon + CNC Europe Attendees!

We hope you are enjoying your time at KubeCon and CloudNativeCon! Hopefully, you have seen VMware’s keynote presentation around just a hand full of the open source projects VMware is involved in. Well, if you are interested in learning more about those projects, and maybe even trying them out for yourself, you’ve come to the right place. Below, we have some great content for you to look through for each of these projects. Enjoy!

Carvel

Blog - Introduction to Carvel
Guide - Getting Started with kapp
Workshop - Getting Started with Carvel (formerly k14s)

Knative

Guide - Using Knative Eventing for Better Observability
Video - Argo CD with Knative and Cloud Native Buildpacks with Boskey Savla
Video - Spring Live: Processing CloudEvents with Spring and Knative

Buildpacks

Video - Cloud Native Buildpacks with Emily Casey
Guide - Getting Started with the pack CLI using Cloud Native Buildpacks
Guide - Getting Started with kpack to Automate Builds using Cloud Native Buildpacks
Video - Argo CD with Knative and Cloud Native Buildpacks with Boskey Savla
Guide - Getting Started with Tekton Part 1: Hello World
Guide - Getting Started with Tekton Part 2: Building a Container
Guide - Python Like A Pro: Building Docker Containers
Guide - Deploy Cloud Native Apps Using GitLab CI/CD and Cloud Native Buildpacks
Video - Spring Live: Build …

Haytham Mohamed April 22, 2021

One of the imperative architectural concerns for software architects is to protect APIs and service endpoints from harmful events such as denial-of-service attacks, cascading failures, or overuse of resources. Rate limiting is a technique used to control the rate by which an API or a service is consumed, which in turn can protect you from these events that can bring your services to a screeching halt. In a distributed system, no better option exists than to centralize configuring and managing the rate at which consumers can interact with APIs. Only those requests within a defined rate would make it to the API. Any more would return an HTTP 429 (“Too Many Requests”) error.

An example how a gateway between the consumer and an API can help limit the number of requests the API is serving

Spring Cloud Gateway is a simple and lightweight component that can be used to limit API consumption rates. In this post, I am going to demonstrate how easily that can be accomplished using a configuration method. As shown in the figure below, the demonstration consists of both a front- and backend service, with a Spring Cloud Gateway service in between.

The gateway can sit between the frontend and the backend to help manage the traffic between the two

No code whatsoever is needed to include the Spring Cloud Gateway in the architecture. You need instead to include the Spring Boot Cloud dependency org.springframework.cloud:spring-cloud-starter-gateway in a vanilla Spring Boot application, then you’ll be set to go with the appropriate configuration settings.

Requests received by Spring Cloud Gateway from a …

Dan Florea April 15, 2021

A great feature of Tanzu Observability is that all context about the chart or dashboard that you are looking at is encoded in the URL, which makes it easy for you to share those links with your colleagues and to deep link into our product from other places such as wiki pages. A consequence of this is that the URL slug is rather involved. This is not a problem when the UI generates the URL, but it becomes very tedious when customers try to create the URL on their own in order to automate and embed Tanzu Observability charts and dashboards outside of the product itself.

To help customers take better advantage of Tanzu Observability charts and dashboards as well as allow easier automation and customization, we recently open sourced our Tanzu Observability URL slug generation code. This code lets you programmatically generate links to charts and dashboards that you can then embed wherever you like to give users an easy to find view of the metrics that matter to them.

What is a URL Slug?

If you are not familiar with a URL slug, it is the last part of a URL that comes after the domain name. For example:

https://www.vmware.com/company.html

In the URL above, “company.html” is referred to as the URL slug.

In some cases, the URL slug is relatively simple. In the case of a Tanzu Observability chart or dashboard, a lot of information is encoded in the slug which makes it difficult for …

VMware Tanzu Labs March 22, 2021

How To Measure Anything by Douglas Hubbard is a popular book at VMware Tanzu Labs. In it, Hubbard takes a strong, opinionated stance on both the concept of measurement, the value of measurement, and how to measure things that are considered immeasurable.

One of our team members published an old-fashioned book report on How to Measure Anything, which you can read here. Below we summarize one fascinating and helpful section of the book, along with our notes and thoughts, as this section is particularly helpful for the Product Valuation workshop.

Immeasurability and the Concept of Measurement

First we want to highlight Hubbard’s analysis of why people often think things are “immeasurable.”

There are just three reasons why people think that something can’t be measured; these reasons are based on misconceptions about different aspects of measurement. We’ll refer to these misconceptions them as the concept of, object of, and method of measurement:

Concept of measurement - The definition of measurement itself is widely misunderstood.
Object of measurement - The thing being measured is not well defined.
Methods of measurement - Many procedures of empirical observation are not well known.

We’ll expand upon each of those misconceptions.

The Concept of Measurement Misconception

Implicit or explicit in all of these misconceptions is that measurement is a certainty—an exact quantity with …

Tyler Britten February 22, 2021

If you’re using one of the great observability tools out there, you probably already mark your data with important events that may affect it—deployments, configuration changes, code commits, and more. But what about changes Kubernetes makes on its own, like autoscaling events?

Knative is a Kubernetes-based platform used to deploy and manage serverless workloads. It has two components: serving and eventing, both of which can be deployed independently. In this post, we’re going to focus on eventing here, which can automatically mark events in your data or trigger other events based on your needs.

Knative Eventing

The eventing component of Knative is a loosely coupled system of event producers and consumers that allows for multiple modes of usage and event transformation.

Among the other components in this system are the broker, which routes the events over channels, and triggers, which subscribe specific consumers to events. For our example, we’re going to keep things very simple, with a single broker using a single in-memory channel, which itself is not to be used in production.

Kubernetes Events

If we want Kubernetes events as a source, we can use the API server source as an event producer. This will publish any changes seen by the API server to the channel we’re using, and we can consume that event with a small golang application and forward to the observability tool of our …

Brian McClain January 19, 2021

Those four letters that strike dread in the hearts of every Kubernetes user. That short acronym that pierces like a knife in the dark. The aura of terror that follows it, enveloping everyone and everything as its reach seems to grow to the ends of time itself.

YAML.

Alright, maybe that’s a bit dramatic, but there’s no doubt that YAML has developed a reputation for being a pain, namely due to the combination of semantics and empty space that gets deserialized to typed values by a library that you hope follows the same logic as others. This has fostered frustration among developers and operators no matter what the context. But is the issue as simple as “YAML is a pain”? Or is it a bit more nuanced than that?

Last year, at Software Circus: Nightmares on Cloud Street, Joe Beda gave a talk on this very subject titled I’m Sorry About The YAML. In it, he explores the factors that contribute to YAML’s reputation, or the so-called “two wolves” inside the hatred of YAML—the frustration with YAML itself and the problem that it’s being used to solve—and how they contribute to each other.

The Problem with the Hammer

Beda starts by talking about YAML itself, both writing it and reading it. Of course, the first thing that comes to mind is the meaningful use of blank space. Opinions run high in this discussion, as it’s a situation with which Python developers are intimately familiar. Indeed, …

Thomas Kraus January 8, 2021

In a previous post, we discussed the advantages of running JupyterHub on Kubernetes. We also showed you how to install a local Kubernetes cluster using kind on your Mac, as well as how to install the JupyterHub Helm chart on a Kubernetes cluster.

In this post, we will focus on the experience of the developers, who are going to be leveraging our service to develop new models using scikit-learn or perform calculations and transformations of large datasets using pandas. To illustrate the value that Jupyter Notebooks and JupyterHub provide in a multiuser environment, we will clone a Git repository containing two example Jupyter Notebooks that we can work with.

Using JupyterHub

Each user that accesses JupyterHub will have their own workspace complete with a single-user Jupyter Notebook server, which uses the JupyterLab Interface. To demonstrate the capabilities of JupyterHub and Python, we will check out the following sample notebooks that we have written and executed:

industry-revenue-analysis.ipynb – Analysis of historical financial data organized by industry that leverages the pandas library
ml-stock-predictor-knn-v4.ipynb – Machine learning (ML) based on revenue data from public financial statements that leverages the scikit-learn library for Python

Note: Each time a user logs into the JupyterHub web page, an additional pod will be instantiated for that user and a 10GB …

Thomas Kraus January 7, 2021

Provisioning environments for data scientists and analysts to run simulations, test new models, or experiment with new datasets can be time-consuming and error-prone. Python is a popular choice for data science use cases, and one of the easiest ways to leverage Python is through Jupyter Notebooks. A web-based development environment for multiple languages, Jupyter Notebooks support the creation and sharing of documents that contain code, equations, visualizations, output, and markup text all in the same document. Because Jupyter Notebooks are just text files, they can be easily stored and managed in a source code repository such as GitLab or GitHub. JupyterHub, meanwhile, is a multiuser hub that spawns, manages, isolates, and proxies multiple instances of a single-user Jupyter Notebook server.

Kubernetes provides the perfect abstractions and API to automate consistent and isolated environments for data scientists to conduct their work. Combining these three things—Jupyter Notebooks, Python, and Kubernetes—into one powerful platform therefore makes a lot of sense.

In the first post in this two-part series, you will learn how to deploy a Kubernetes cluster using kind on a Mac, then how to install JupyterHub into that cluster. In the second post, we will show you how to use the data science and machine learning notebooks you have created on your newly deployed JupyterHub service …

Michael Coté November 23, 2020

Who will speak for the various, meaningless phrases and jargon that fills our ears? “Digital transformation,” for example. Year after year, surveys of Very Important People in the form of Gartner’s CIO Agenda Report and others show rising interest, even “do or die” desire for digital transformation. These efforts seem to always be behind: They’re either underfunded or in the process of getting more funding; skilled people are consistently hard to find. And the headwinds! Always with the macro-global headwinds.

But surely a company must transform in order to remain competitive. Indeed, if all these executives are craving “digital transformation” and complaining about how hard it is to achieve, it must be something very important, right?

Well, sort of.

Computers are awesome!

The problem with “digital transformation” is that it’s become an umbrella term to mean any spending on or change to IT. We need to implement remote working? Then we need digital transformation. Our goal is now better analytics? That means digital transformation! Upping our sales through Instagram? Roll in the digital transformation!

When a term is used for everything, it loses its meaning. In such cases, I like to replace “digital transformation” or whatever the phrase of the moment is with “Computers are awesome!” Doing so helps me remember that all people are talking about is using computers to conduct …

Brian McClain November 16, 2020

Three years ago, a colleague of mine wrote a post to help readers understand when to use RabbitMQ and when to use Apache Kafka, which many found to be very useful. While the two solutions take very different approaches architecturally and can solve very different problems, many find themselves comparing them for overlapping solutions. In an increasingly distributed environment where more and more services need to communicate with each other, RabbitMQ and Kafka have both come to be popular services that facilitate that communication.

It has been three years since that post was published, however, which in technology can be lifetime. We thought this would be a great opportunity to revisit how RabbitMQ and Kafka have changed, check if their strengths have shifted, and see how they fit into today’s use case.

What Are RabbitMQ and Apache Kafka?

RabbitMQ is often summarized as an “open source distributed message broker.” Written in Erlang, it facilitates the efficient delivery of messages in complex routing scenarios. Initially built around the popular AMQP protocol, it’s also highly compatible with existing technologies, while its capabilities can be expanded through plug-ins enabled on the server. RabbitMQ brokers can be distributed and configured to be reliable in case of network or server failure.

Apache Kafka, on the other hand, is described as a “distributed event streaming …

Tiffany Jernigan November 11, 2020

KubeCon North America is coming up soon! It will take place virtually November 17th-20th.

The schedule is chock-full of very interesting talks,from introductory overviews to advanced deep dives. When I first saw it, I ended up copying down as many talks as possible to share here because they are all just so good. But I figured I should probably curate a bit, so below you will find a list of my top recommendations, broken down, for the most part, by their respective Special Interest Group (SIG) names.

Talks with a 🌱 next to them are introductory/deep dive talks, and each SIG section header links to its respective SIG page.

Keynotes

If you can, definitely watch all of the keynotes. There is a complimentary pass just for the keynotes if you’re unable to attend the rest of the conference.

If you’re interested in seeing what cool things different companies are working on and/or are interested in, check out the sponsored sessions on Day 1.

API Machinery

Day 2

🌱 Admission Control, We Have a Problem - Ryan Jarvinen, Red Hat

This is an interactive session that will teach you how Admission Controllers play a critical role in securing Kubernetes APIs. You will be able to “implement basic input validation and testing of webhooks for the Admission Controller.”

Day 4

Into the Deep Waters of API Machinery - Federico Bongiovanni & Daniel Smith, Google, & David Eads, Stefan …

Scott Rogers November 4, 2020

It’s the day and age of mountains of microservices, running on various platforms, consuming multiple services from multiple providers. As applications become more and more distributed, they become more complex. Even splitting a monolith into multiple smaller microservices introduces several points of failure. What happens when the two services can’t reach each other over the network? What if one service relies on the other and it crashes? What about if the application slows to a crawl; where would you start looking to figure out why?

Rather than guessing and hoping, you can lean on properly instrumented observability. Being able to aggregate logs and metrics, as well as trace a request as it flows through various applications and services, is as achievable as ever. No matter your language, framework, or platform of choice, chances are you have some great options.

But first, let’s talk about why you should care about observability.

What Is Observability?

I think of observability as the ability to infer the correlation between (seemingly) disparate systems. That means bringing together metrics from many systems in a way that allows us to find answers to questions that speed up both MTTD (the mean time to detect an issue) and MTTR (the mean time to resolve an issue). By themselves, metrics such as CPU, memory, response time, error rates, and latency are valuable, but they will not …

Sam Foo October 15, 2020

Octant is a tool designed to enable developers without a deep knowledge of Kubernetes to become productive as quickly as possible. This post will walk through an NGINX deployment with a faulty NGINX configuration to demonstrate how common pitfalls can be identified using Octant.

Before You Begin

Before you get started, here are the tools you’ll need:

An existing cluster through KinD, Minikube, or a cloud provider
An installation of Octant 0.16.1 or above
Some knowledge of NGINX (helpful but not required)

Create an NGINX Deployment

Let’s start with a ConfigMap containing a basic NGINX configuration and set the mount path to /etc/nginx. A deployment will mount the volume containing the NGINX configuration for the container. Copy the YAML below.

apiVersion: v1
kind: ConfigMap
metadata:
  name: nginx-conf
data:
  nginx.conf: |
    user nginx;
    worker_processes  3;
    error_log  /var/log/nginx/error.log;
    events {
      worker_connections  10240;
    }
    http {
      log_format  main
          'remote_addr:$remote_addr\t'
          'time_local:$time_local\t'
          'method:$request_method\t'
          'uri:$request_uri\t'
          'host:$host\t'
          'status:$status\t'
          'bytes_sent:$body_bytes_sent\t'
          'referer:$http_referer\t'
          'useragent:$http_user_agent\t' …

VMware Tanzu Labs October 7, 2020

Remote Workspace with Cat

The transition to working remotely due to COVID-19 has proven to be quite a challenge—including for those of us at VMware Tanzu Labs. While remotely communicating and collaborating using digital tools is not new to us, doing so in an entirely distributed environment for the foreseeable future is.

The challenges have been especially daunting when we’ve had to apply the principles of Extreme Programming (XP), namely constant communication, intense collaboration, and ongoing reflection. On top of all that, we engage with new customers on a regular basis to kick off projects multiple times throughout the course of a year. In this new normal, our practitioners must not only quickly bootstrap burgeoning relationships and get up to speed on unfamiliar domains, but build customer-based teams that feature all these new ways of working and in the process, re-define a set of previously shared norms.

There are undoubtedly more challenges left for us to face in our new, all-remote set-up. In the meantime, however, we set out to identify the most pressing problems and come up with the best possible solutions to address them. The result is a series of remote working tips that we are thrilled to share with you.

Our tips

Our remote working tips cover a wide range of topics, from general considerations to specific advice for high-collaboration teams:

Building relationships – How to create …

Jorge Morales Pou September 22, 2020

One of the biggest challenges I face when developing applications that will run on Kubernetes is having a local environment that I can spin up at any time—one that won’t give me any problems, won’t cost me money when left on during the weekend or at night, and that I can be confident will have all the same functionality as my cloud-based environment. That’s why I use minikube for local development, as it’s the tool that gives me the best “developer experience” possible. None of the alternatives can really compare.

But minikube is not perfect. There are two things in particular that require some additional configurations.The first is that every time you create a minikube instance you get a different IP address, which becomes an obstacle when you want to recreate your environments. The second is that I prefer my minikube instances to have a registry, which like the services I choose to work with should also be secure. But while the minikube documentation provides instructions for how to secure a registry, it’s still a complicated process.

For both of these reasons, I’m going to explain how I set up my minikube instances so they can be used and recreated easily, and so they give me the ability to work with trusted secured services.

Create your own local CA

When working with secure services, I want the minikube instance to have secure routes and internal access. The easiest …

Ivan Tarin September 17, 2020

SpringOne 2020 just wrapped, and the self-paced workshops were a complete success! Moreover, all of your requests to continue providing these workshops beyond the conference have been heard. Their future home will be the Tanzu Developer Center. UPDATE: These workshops are available to try out now!

SpringOne 2020 Workshops and Training

For those that missed SpringOne 2020, we’ll quickly recap what the workshops focused on and what they accomplished. Feel free to jump around if you need to; the recap is meant to be a quick read with plenty of pictures.

A total of 10 self-paced workshops covering a range of open source technology—from CI/CD with Tekton, several Spring technologies, and infrastructure technology like Kubernetes, Octant, and Carvel—were available at SpringOne 2020:

Kubernetes Fundamentals
Container Basics
Getting Started with Octant
Getting Started with Spring Boot on Kubernetes
Spring Boot Probes on Kubernetes
Spring Boot Skaffold on Kubernetes
Spring Microservices
Getting Started with Spring Cloud Gateway
Getting Started with Carvel (formerly k14s)
Tekton Fundamentals

Each of these workshops has an environment prepared and ready, which is quite refreshing when you are accustomed to spending 15-30 minutes setting up to follow a tutorial. The workshop environment is also native to the technology being used. For example, you can interact with actual Kubernetes clusters in a Kubernetes workshop or work …

Eric Tsiliacos August 19, 2020

You’re halfway through delivering your feature and you decide to take a look at your diff. Doing so gives you a sinking feeling in your stomach, because you see a lot more changes than you were expecting, some of which were refactorings, like renames or structural changes you wish were separated into their own commits. Teasing apart these smaller commits can be messy and would take too much effort at this point. But if you’d tried to preemptively break them apart at random, you’d have run the risk of overengineering your work or creating unnecessary changes.

Writing commit messages first can help pairs navigate between feature delivery and what could be smaller, more atomic commits. It’s analogous to working from “stories” off a backlog or trying to get the next failing test to pass. If you or your pair gets lost in the weeds, pointing back to the story provides a direct and egoless way to get back on track. In test-driven development, pairs stay focused by thinking about small, incremental, falsifiable functionality one failing test at a time. Writing commit messages first can help pairs articulate the space between a feature story and individual tests.

How to Write Commit Messages First

You can use a command line tool such as Stacker to keep track of your commit messages, or simply use pencil and paper. The first commit message is easy to write and provides a frictionless …

Brian McClain August 11, 2020

For quite a while now, I’ve kept an eye on RedMonk’s programming language rankings — which track the usage of all programming languages based on data from GitHub, as well as discussion about them on Stack Overflow —— to get insight into the various language trends. In the January 2020 update, something interesting happened: Python reached No. 2 on the list, taking over Java.

As RedMonk pointed out, “[T]he numerical ranking is substantially less relevant than the language’s tier or grouping. In many cases, one spot on the list is not distinguishable from the next.” However, it’s still interesting, especially as Python has continued to hold the No. 2 spot into the latest ranking after spending approximately seven years ranked third or fourth.

RedMonk isn’t alone in its findings, either. GitHub’s report, The State of the Octoverse also ranked Python as the second most-popular language used on that website, just behind JavaScript. Not only that, it also found Python remains among the top 10 fastest-growing languages in the community, despite already having a foothold with developers. In the JetBrains Python Developers Survey in 2019, it found that one of the most popular things developers use Python for is web development, with Flask and Django fighting for the top web framework.

At one time Python was my main language of choice. For the past few years, I’ve primarily been a Java …

Dan Dobrin July 30, 2020

Your cloud-native application has been designed, built, and tested locally, and now you’re taking the next step: deployment to Kubernetes.

Isolated environments can be provisioned as namespaces in a self-service manner with minimal human intervention through the Kubernetes scheduler. However, as the number of microservices increases, continually updating and replacing applications with newer versions, along with observing and monitoring the success/failure of deployments, becomes an increasing burden.

Deployment processes are performed while allowing for zero or some downtime, at the expense of increased resource consumption or support of concurrent app versions.

What options do you have to turn deployments into a predictable, repeatable, consistent, easy to observe process? Kubernetes with declarative deployments.

What Are Declarative Deployments in Kubernetes?

The concept of deployment in Kubernetes encapsulates the upgrade and rollback processes of a group of containers and makes its execution a repeatable and automated activity.

The declarative nature of a Kubernetes deployment allows you to specify how the deployed state should look, rather than the steps to get there. Declarative deployments allow us to describe how an application should be updated, leveraging different strategies while allowing for fine-tuning of the various aspects of the deployment process.

The …

Santiago Vasquez July 22, 2020

Throughout most of my career as a developer, I have written code using .NET (mostly C#). But lately, I have been spending more time with Spring, and I keep hearing comments about exciting changes in .NET around containers. I decided it was time to go back and check out what I had missed. This article highlights some of these changes, emphasizing the ones most relevant to containers and microservices; after all, I am part of the VMware Tanzu Portfolio.

Microsoft released .NET Core 3.0 on Sept. 23, 2019, and a couple of months later, on Dec. 3, 2019, version 3.1 followed. Version 3.0 had already reached its end of life, while version 3.1, with its LTS designation, will have support until Dec. 3, 2022 (more details here).

.NET Core 3.1 contains a tiny number of changes compared to version 3.0. These are mainly related to Blazor and Windows Desktop, in addition to the LTS designation. The bulk of significant changes were in version 3.0. I have selected a subset of items that I believe have a more significant impact on my day-to-day role at VMware Tanzu Labs. For the complete list of changes, go here and here.

From Container-Friendly to Container-Aware

Before version 3, running .NET Core in a container was not for the faint of heart. CoreCLR was inefficient when allocating GC heaps and quickly ran into Out-of-Memory situations. The new version of .NET Core has made significant …

Brian McClain July 17, 2020

When you’re first learning how Kubernetes works, or are developing code that leverages Kubernetes, you’re likely to find yourself looking to one of the many options available to run it locally. As with almost anything in technology, there are more options than you probably know what to do with, which can leave you asking yourself which one you should use. Minikube? Kind? Microk8s? Even Docker Desktop ships with the ability to spin up Kubernetes.

Consider a scenario in which you need to develop and test on Kubernetes locally. For example, Spring Cloud Kubernetes gives you tools such as service discovery, which enables you to look up Kubernetes services, as well as the ability to set properties in your code using ConfigurationMaps. This post will use a simple two-tier application that has a frontend (written in Spring) that looks up where the backend service is (also written in Spring) by looking up the service name that exposes it. The backend service presents a REST API that reports inventory information about an imaginary grocery store, and the frontend application visualizes it.

Since the whole point is to develop locally, you’ll deploy the backend, then get a shell into another pod that mounts a volume from your local machine containing the frontend code. This will allow you to rapidly iterate changes to the code without building and deploying a new container every time. …

Chris Splinter July 8, 2020

You can start to build modern, cloud native apps today using the latest innovations from Spring, Cassandra and Kubernetes. This blog will show you code samples and a fully working demo to get you up to speed in minutes with these open-source technologies.

Context

There’s no shortage of buzzwords, such as “digital transformation”, “cloud native” and “serverless,” being thrown around the internet. Peeling back a layer of the buzzword onion, we do see significant changes in the technology world that have inspired these terms. First, most companies are becoming technology companies as having a presence in the digital space grows as a requirement for survival. Second, the mad dash to the cloud is showing no signs of slowing down. Third, time to market for new applications matters more than ever.

So, how has this affected technology practitioners? Well, the developer population is multiplying rapidly and the pressures for faster delivery of these new digital experiences are getting more extreme by the day. It’s now a fundamental expectation that applications will be there whenever, wherever and however users want to engage. The cloud movement is creating complex architectures that span on-premises and cloud environments, not to mention the pure amount of data coming through these services is exploding. Sounds fun!

Open-source technology …

Ivan Tarin June 29, 2020

open source image @freddygthatsme see sources

Understanding the way containers communicate will make your life easier in many ways. Technologies like Kubernetes and Docker abstract away details that make containers special, but can also abstract away intuition and understanding. Without that knowledge, challenges arise—educated problem-solving adds confidence to decision-making!

In this post, we will demystify containers and cover some networking basics by explaining how to create two rudimentary containers and connecting them with a virtual network so they can talk to each other. The host machine, which is the machine where the network lives, views this network as if it were completely external. So, we will connect the network to the host. We’ve also included a bonus section about connecting the network to the internet so your containers can reach Google. You do not need a Linux machine to run through the exercises.

Containers and Networks: What Are They?

A container can be considered synonymous with a Linux network namespace. Keep this in mind. Essentially, a container is a namespace.

Each container runtime uses a namespace differently. For example, containers in Docker get their own namespace, while in CoreOS’ rkt, groups of containers share namespaces, each of which is called a pod.

Containers are based on Linux networking, and so insights learned in either can be applied to both. You can apply these concepts to …

Ray Chuan Tay June 23, 2020

If you’re like me and you’ve worked with Git for some time, you might have a couple of commands committed to your memory—from git commit for recording your changes, to git log for sensing “where” you are.

I have found git checkout to be a command that I reach for pretty frequently, as it performs more than one operation. But a single command doing more than one thing might produce a suboptimal user experience for someone learning Git. I can almost picture an XKCD strip:

Learner: What do I run to change the branch I’m on?
You: Use git checkout <branch>.
Learner: What can I run to discard changes to a file?
You: Use…git checkout <file>.
Learner: OK…

Even if you have the commands memorized, there have likely been times when you had to pause after typing a git checkout command while you tried to match it with the operation you had in mind (e.g., “I just typed git checkout … to do X, but I thought git checkout does Y, does this really do what I want?")

Let’s take a look at what git checkout can do, and an alternative (or two) that can make for a friendlier user experience in Git.

Quick, what does `git checkout` do?

Perhaps you were trying something out and made some changes to the files in your local Git repository, and you now want to discard those changes. You can do so by calling git checkout with one …

Tyler Britten May 29, 2020

While running software in containers is very popular, it can be a little confusing to figure out the best way to get your code into a container. Now that the industry is mostly unified on Open Container Initiative (OCI) Standard container image formats, they can be built in any number of ways.

Building via Dockerfiles is the most commonly used approach, but there are also other tools that can make it easier with less learning upfront and some other advantages.

Dockerfiles

If you’re not familiar with the specification for Dockerfiles, you can find it here. The basic layout looks something like this:

FROM debian:latest

ADD my-app-file /app/

CMD /app/my-app-file

The first thing we need is a starting point, and in this case, we’re using a debian image, and the latest version. There are also ones that are language-specific like python or golang and ones tied to specific distributions.

The next lines include whatever steps we need to prepare the image, and the last line tells the image what command to run when the image is executed. There are a lot of variations of this but these are the basics. How can we make it better? Well a real application that is a bit more complicated would make this easier. Here’s a very simple golang http server application:

package main
import (
"fmt"
"net/http"
)
func main() {
http.HandleFunc("/", func (w http. …

David Dieruf May 21, 2020

Your app is destined for the cloud, but it’s going to meet some challenges along the way. First stop is the always fun whiteboarding session(s). Then come the sticky notes, which inevitably yield a backlog. Only when those two steps are complete does the Zen art of coding begin.

But ask yourself this: While whiteboarding the app’s design, how often is the developer’s local environment considered? Probably never. In fact, I bet during design a local environment doesn’t even make into the afterthoughts. Instead, it’s just one of those “figure it out” things.

Take, for example, the design of a microservice. Most likely it’s going to be dependent on an external configuration, like Spring Config. Ever consider how a developer is going to test on a config server locally? Do they have access to local containerization, like Docker? Or are they left to waste countless hours rigging up environment variables, only to find a totally different schema when the app is pushed to its platform?

I’ve been there and done that. It’s frustrating, wasteful, and breaks one of the most important of the 12 factors: No. 10, parity between environments. It’s also a personal favorite, and one I’ve been known to be ornery about.

The goal is not about following a good or bad design (although there’s plenty of room for bad decisions). It’s about …

Bryan Friedman May 7, 2020

Developers and VMware. The pairing might not make sense to you at first. As an application developer, maybe you have only limited experience working with VMware software. It’s probably just the place where your software runs on-premises. Or it’s the thing you get access to a couple of days after putting in that infrastructure request ticket.

But make no mistake, VMware Tanzu is for you. If you are a developer working in a large enterprise, or even a small- to medium-sized business, you are now being asked to build “modern” applications or to “modernize” your existing apps. VMware Tanzu is a collection of software created expressly to help you with this application modernization effort. It brings together innovations via VMware’s acquisitions of Heptio, Bitnami, Wavefront, and Pivotal with lots of open-source DNA from projects like Kubernetes and Cloud Foundry. And don’t worry, this site isn’t about infrastructure software like vSphere or NSX. Instead, it covers the topics you need to know to write modern software: Spring, .NET, Python, RabbitMQ, Kafka, CI/CD platforms, and much more.

App modernization

So now you see how a VMware-hosted developer site can be focused on app modernization. But what exactly is meant by “app modernization”? Is it simply the latest in a long line of technology fads that just means more work for you?

It can sometimes feel like that. Change is hard, …

RSS

Tanzu Developer Center Blog

Martin Perez & Raquel Campuzano Godoy December 21, 2021

Layla Porter November 30, 2021

Introducing the new Global Using Directive!

Creating a global usings file

Steven Pousty November 18, 2021

What this post covers (and what it doesn’t)

Raquel Campuzano & Juan Ariza November 15, 2021

Why Should Every Cluster Controller Use Sealed Secrets to Protect Their Deployments?

Dodd Pfeffer November 5, 2021

Rich Lander November 3, 2021

Assemble a Development Team to Build the Operator

Mauricio Salatino October 14, 2021

Rich Lander October 6, 2021

Grant Shipley October 4, 2021

Tony Vetter September 27, 2021

Raquel Campuzano Godoy September 23, 2021

Advanced Features for Tanzu Users

Ivan Tarin September 21, 2021

Interactive labs with real containers, on real K8s clusters on the latest Spring open source and Tanzu + open source

Tony Vetter September 13, 2021

Raquel Campuzano Godoy August 5, 2021

What is the Docker Verified Publisher Program?

Rich Lander July 2, 2021

Reduce operational toil with Kubernetes operators

Cora Iberkleid June 28, 2021

What Is Dockerfile?

Raquel Campuzano Godoy June 11, 2021

A bit of History: What is Kubeapps?

Brian McClain June 1, 2021

Tanzu.TV

Workshops

VMware Tanzu Labs Practices

Tony Vetter April 30, 2021

Greetings KubeCon + CNC Europe Attendees!

Carvel

Knative

Buildpacks

Haytham Mohamed April 22, 2021

Dan Florea April 15, 2021

What is a URL Slug?

VMware Tanzu Labs March 22, 2021

Immeasurability and the Concept of Measurement

The Concept of Measurement Misconception

Tyler Britten February 22, 2021

Knative Eventing

Kubernetes Events

Brian McClain January 19, 2021

The Problem with the Hammer

Thomas Kraus January 8, 2021

Using JupyterHub

Thomas Kraus January 7, 2021

Michael Coté November 23, 2020

Computers are awesome!

Brian McClain November 16, 2020

What Are RabbitMQ and Apache Kafka?

Tiffany Jernigan November 11, 2020

Keynotes

Sponsored

Day 2

Day 4

Scott Rogers November 4, 2020

What Is Observability?

Sam Foo October 15, 2020

Before You Begin

Create an NGINX Deployment

VMware Tanzu Labs October 7, 2020

Our tips

Jorge Morales Pou September 22, 2020

Create your own local CA

Ivan Tarin September 17, 2020

Eric Tsiliacos August 19, 2020

How to Write Commit Messages First

Brian McClain August 11, 2020

Dan Dobrin July 30, 2020

What Are Declarative Deployments in Kubernetes?

Santiago Vasquez July 22, 2020

From Container-Friendly to Container-Aware

Brian McClain July 17, 2020

Chris Splinter July 8, 2020

Quick, what does `git checkout` do?