I have seen many junior data scientists and machine learning engineers start a new job or a consulting engagement for a telecom company coming from different industries and thinking that it’s yet another project like many others. What they usually don’t know is that “It’s a trap!”. I spent several years forging telecom data into valuable insights, and looking back, there are a couple of things I would have loved to know at the beginning of my journey.

Portainer is an open source tool that allows for container deployment and management without the need to write code. In their recent publication, ‘How to deploy Portainer on MicroK8s’, the Portainer team share with the community how easy and fast it is to deploy Portainer on MicroK8s. In fact, the entire process only requires a single command! For a step-by-step walkthrough of the process, take a look at Portainer’s 5 minute video below. Install MicroK8s

Migrating to the cloud is a significant, complicated endeavor, one that requires a realistic migration plan for any application portfolios that will be mapped out first. To get started, a detailed technical analysis of each application's cloud readiness helps determine the best cloud migration approach and strategy to take. If this sounds like a daunting process, that’s because it often is! Let's understand why.

Data streaming is important for getting insights in real time and reacting to events as fast as possible. Its application is wide, from banking transactions and website click analytics to IoT devices and motorsports. The last example represents a really interesting use case.

The defense evasion category inside MITRE ATT&CK covers several techniques an attacker can use to avoid getting caught. Familiarizing yourself with these techniques will help secure your infrastructure. MITRE ATT&CK is a comprehensive knowledge base that analyzes all of the tactics, techniques, and procedures (TTPs) that advanced threat actors could possibly use in their attacks. Rather than a compliance standard, it is a framework that serves as a foundation for threat models and methodologies.

In this episode of Coffee & Containers, Bruno Andrade, Founder/CEO @ Shipa and Melissa McKay, Developer Advocate @ JFrog discuss some specific Kubernetes related obstacles.

Kubernetes provides abstraction and simplicity with a declarative model to program complex deployments. However, this abstraction and simplicity create complexity when debugging microservices in this abstract layer. The following four vectors make it challenging to troubleshoot microservices.

Peter Grant, Kalai Wei, Gustavo Franco, Corey Innis, and Alexandra McCoy contributed to this post. The VMware Customer Reliability Engineering (CRE) team is proud to announce an open source Reliability Scanner for Kubernetes! It includes an extensible set of reliability assessments, or checks, performed against various components of a cluster, such as Pods, Namespaces, Services, etc. Operators can then configure appropriate constraints for the checks on their clusters.

Kubernetes, also known as K8s, is a container-orchestration platform for automating deployment, scaling, and operations of applications running inside the containers across clusters of hosts. Google open-sourced the Kubernetes project in 2014. According to a recent CNCF survey, Kubernetes is the most popular container management tool among large enterprises, used by 83% of respondents. Containers are a good way to bundle and run applications.

As all developers know, when building software things don’t always go as planned. In fact, most of the time they don’t. With today’s modern distributed architectures it’s more important than ever to have the proper tools in your toolbelt. This allows us to automate as much of the software delivery lifecycle as possible and then be able to immediately triage issues when they arise.