Every organization has a process for building and releasing software. Smaller organizations may run a few automated tests before releasing, while larger organizations may have 100s of scans, validations, and approvals spanning everything from technical to legal. Whatever the process is, the end goal is the same: software that’s mature enough for release. The challenge is that this process is complicated, messy, and often created in an ad hoc way, changing as organizations evolve.

The Canonical Data Fabric team is pleased to announce the first beta release of Charmed Spark, our solution for Apache Spark. Apache Spark is a free, open source software framework for developing distributed, parallel processing jobs. It’s popular with data engineers and data scientists alike when building data pipelines for both batch and continuous data processing at scale.

Docker Compose is a tool for defining and running multi-container Docker applications. It allows developers to streamline the process of configuring, building, and running multiple containers as a single unit with a docker-compose.yml. This configuration file specifies the services, networks, and volumes required for an application, and their relationships and dependencies. The docker-compose logs command displays the logs of all services defined in the docker-compose.yml file.

Patch management is a term that’s familiar to all within the depths and boundaries of endpoint security. While the addition of “automation” to this term might make it seem like one among the thousands of other automated tasks, cybersecurity experts have been going gung ho over it in the last few years. If you’re reading this, it probably doesn’t make sense to explain to you what patch management automation or automated patch management is.

Are you thinking about switching from platform engineering to DevOps? You're not alone. In order to remain competitive, many organizations are making this crucial change as the world of software development and operations continues to change. This article will discuss the reasons behind the transition, what it implies, and most importantly, how your organization may successfully manage the change.

Take back control of your Monitoring with Levitate - a managed time series data warehouse.

Understanding the performance of Android applications, user interactions, and problem-solving is significantly reliant on data monitoring. As the realm of mobile technology continues to expand, developers are tasked with managing an increasingly large amount of data. When this data is correctly harvested and scrutinized, it can yield valuable insights that inform strategic choices and lead to improvements in the app.

A “Parent” is a Netdata Agent, like the ones we install on all our systems, but is configured as a central node that receives, stores and processes metrics data from other Netdata “Child” nodes in our infrastructure. Netdata Parents are flexible. You can have one big active-active cluster of Netdata Parents, or you can spread a lot of independent Parents across the infrastructure. This “distributed still centralized” setup provides a lot of benefits.

Managing compliance can seem like a losing game. It seems like you'll never be ahead – like you'll always be fixing drift after it happens, only for your configurations to inevitably slip again. Managing compliance becomes a vicious cycle of scanning to hunt down drift, fixing it as best you can, and waiting for it to happen again.

Azure Logic Apps have revolutionized how organizations automate their workflows and integrate various applications and services. They provide a robust and scalable platform for designing, orchestrating, and automating business processes and workflows. With Azure Logic Apps, organizations can harness the full potential of integration and achieve unparalleled efficiency in their operations.