Curated articles, resources, tips and trends from the DevOps World.
In this post, we will take a look at how we can use Google Cloud Vision from a Spring Boot application. With Google Cloud Vision it is possible to derive all kinds of things from images, like labels, face and text recognition, etc. As a bonus, some examples with Python are provided too.
By leveraging Terraform and Google Kubernetes Engine, it is possible to have a Kubernetes cluster ready and running in a few minutes. Not only that, but also have it configured according to your needs.
If we have Eve installed, we need to spin up a MongoDB database. It all depends on You platform and Your setup but assuming You have docker installed You can for example use official mongo image: Now, all we need is two small files. One being let’s say app.py (or run.
In order to effectively manage and monitor your infrastructure, a web admin needs clear and transparent information about the types of activity going on within their servers. Server logs provide a documented footprint of all traffic and errors that occur within an environment.
I have written two blog posts about leveraging Managed Service Identity (MSI) for Azure web apps (here and here).
In this article, I would like to talk about how a day of Search Operations Engineer is. The first question comes to your mind could be what Search Operations Engineer is? I guess it’s not a common name you’ve heard from most of the companies.
Proxy (is a server) hides the identity of the client. The client will request to proxy and proxy will make the request to the server. So the server will never know who is the client. When the server responds to the proxy, proxy will route the traffic to the client (proxy has routing table).
Kubernetes is a container management technology developed in Google lab to manage containerized applications in different kind of environments such as physical, virtual, and cloud infrastructure. It is an open source system which helps in creating and managing containerization of application.
I’ve been using a config templating strategy for Vue recently and I love it because it simplifies the process of doing per-deployment configuration and requires zero additional build configuration on top of what comes out of the box from a vue-cli create project.
There are many ways to achieve the same thing in less lines but I prefer a more readable approach coming from a programming background myself.
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