Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Detailed view on Azure Function Custom Handlers

Custom Handler is a feature in Azure Functions which lets you bring your own command, script, or executable, and hook it up to Azure Functions Triggers and Bindings. Custom Handler implements a lightweight Web Server. In other words, you can write your own APIs, in any language i.e. it need not be a language supported by Azure functions. You can just hook up your Azure function host with your custom API and let your function act as a proxy.

GitKraken vs Sourcetree

Software developers, students, and a few sea creatures have spoken. GitKraken is the most popular Git GUI in the world—named the most used graphical user interface for Git in the 2020 State of the Software Development Report. You might, however, be on the fence; maybe you’re Git-curious, but not sure whether to ‘commit’ (sorry) to a GUI. After all, there are several out there. Which one should you choose?

Introducing the Datadog Operator for Kubernetes and OpenShift

As more environments run on Kubernetes—including our own— Datadog has been making it easier to get visibility into clusters of any scale. To minimize load on the Kubernetes API server, the Datadog Agent runs in two different modes. The node-based Agent queries local containers or external endpoints for data, while the Cluster Agent fetches cluster-level metadata from the API server.

DevOps Automation Best Practices for Automotive Software Delivery

In this webinar you will learn:

  • How DevOps helps solve the challenges around Automotive and Embedded software delivery
  • What a modern CI/CD pipeline and toolset look like in the Automotive industry
  • DevSecOps best practices: How to ensure security and compliance as an integral part of your pipeline
  • Patterns for reducing the footprint/latency of last-mile deployments to speed-up releases and minimize service interruption
  • Hard-won tips and tricks around increasing developer producti

How to deploy an app to AWS: App security

AWS security is an ongoing battle that you must address during every release, every change, and every CVE. When you’re first launching your production application, it’s impossible to check all the boxes; you simply don’t have the time. Until your application gets more adoption, you only have the time to do the bare essentials of security.

Using NGINX as a Queue for JSON Payloads

Request Metrics is a performance analytics tool. As such, we need to build a data ingestion pipeline that will consume performance data and process it. One common approach to ingest is to shove incoming data into a queue. We like simple things, and figuring out fancy distributed queues is anything but. So we're going to eschew best practices and use NGINX as our queue!

Why GOPROXY Matters and Which to Pick

Starting with Go 1.13, Go modules are the standard package manager in Golang, automatically enabled on installation along with a default GOPROXY. But with other GOPROXY options like JFrog GoCenter, as well as your own Go module packages you need to keep secure from public view, what kind of configuration should you choose? How can you keep your public and private Golang resources from becoming a tangled knot?

Patching Operating Systems While Working from Home

IT leaders need a well-defined strategy for managing patches and upgrades for software applications and technologies. Planned patch management rollouts help combat security vulnerabilities as unpatched systems are highly vulnerable to data breaches and attacks from hackers. During Covid-19, IT organizations have struggled to keep systems updated using remote teams, especially as software vendors have recently released a record number of patch fixes and upgrades.

Kubernetes and the Enterprise Knowledge Graph

In today’s enterprises, we spend much of our time dealing with information, whether it’s data, knowledge or analytics. Just like the assembly line workers of last century, today’s knowledge workers deal with similar logistics of taking raw materials as an input and producing a finished product as an output. Only in this case, the raw material is all the unorganized and sometimes random information at our disposal, and the finished product is structured information.