Operations | Monitoring | ITSM | DevOps | Cloud

Deploying an application is an intricate process that requires managing environment variables and secrets. These variables and secrets help applications access essential resources such as API keys, database credentials, and more. However, manually managing these variables and secrets can be challenging and time-consuming, especially for engineering teams that manage multiple applications. Fortunately, Qovery has a solution for this.

Nowadays, when most people think about the term “machine learning,” they think of advanced, refined applications such as Chat-GPT, the chatbot-based deep learning text generator, or AlphaGo, the computer program that’s currently the “world's best player” of the board game Go.

A mock server can prove useful in many circumstances. Imagine you’re an engineer working on optimizing a feature inside of an existing API that relies on multiple other microservices to function properly. To fully test the optimizations, you’ll have to set up test versions of all the dependencies, which quickly proves to be quite a task in and of itself. This is where a mocks—a server that simulates the behavior of a real server—can be very beneficial.

Mattermost v7.8 Extended Support Release is generally available today. With this latest release, we’ve added improved filters and groups for Boards. More options for viewing your boards means more ways to break down the data to understand your team’s workload, report on progress, and quickly see what is in flight for a given sprint.

Tech-based businesses benefit from well-executed platform migrations. Learn how to run a successful migration and ensure operational efficiency.

As more and more applications move to the cloud, it becomes increasingly important to design them for high availability, scalability, and reliability. One of the key components of building such applications is message queuing, which allows you to send and receive messages between different parts of your application. Azure Queues is a service provided by Microsoft Azure that enables developers to build highly scalable and distributed applications that can handle large volumes of messages.

As your engineering teams grow and commit code more frequently, it becomes increasingly difficult to release high-quality, secure code while achieving your desired development velocity. To create smoother developer workflows that ensure high standards for code quality and security, it’s critical for developers to detect and remediate issues earlier in the software development lifecycle— without switching tools or contexts.

You can use CircleCI’s cloud resources to run your CI/CD jobs, but there may be times you want to run them on your infrastructure. If your team imposes privileged access and control requirements, a self-hosted infrastructure might be best for running your jobs. CircleCI’s self-hosted runners lets you do exactly that. It is easy to get started and start using self-hosted runners.

This article explains what Azure Hybrid Integrations is, what are, all the challenges faced by the users in monitoring the Hybrid integration solutions, and what are all the available solutions to monitor the Hybrid integration solutions.

Netdata is committed to making it simpler and easier for everyone to monitor and troubleshoot their infrastructure. With that goal in mind, we're excited to announce the launch of our new "Functions" feature, which allows Netdata Agent collectors to expose "functions" that can be executed in run-time and on-demand.