Operations | Monitoring | ITSM | DevOps | Cloud

We know that artificial intelligence (AI) is here to stay. It has improved daily business processes across all sectors: teams can save time, avoid repetitive tasks, and achieve greater productivity overall with the help of AI software. AI software has changed how companies operate, make decisions, and interact with customers. This article explores various AI software solutions designed to meet diverse business needs.

Server Management is a critical aspect of IT infrastructure. As enterprises increasingly rely on robust and reliable server systems to power their digital operations, the role of Server Management has become increasingly important for maintaining business productivity and preventing downtime. The article covers the basics of understanding and implementing effective Server Management practices.

Kubernetes has revolutionized how developers deploy, manage, and scale their applications. One of its key features is the ability to scale deployments seamlessly. This article explores various aspects of using the kubectl scale deployment command, including how to scale deployments up and down, scale all deployments in a namespace, managing replica sets, and more.

The promise of version control for teams is enticing: better collaboration, more organized workflows, and easier tracking of changes – just to name a few. But, as with anything else, it’s not a perfect fix. Merge conflicts, inconsistent coding practices, and communication issues are just a few of the all-too-common hurdles that teams can face on their version control journey.

Business monitoring is a necessary process, no matter what. It is crucial in supply chain management, too. Monitoring your supply chain can ensure fresh products, speedy deliveries, and sustainable production. This article will explore supply chain monitoring, critical metrics for various supply chain use cases, and how to monitor your supply chain with MetricFire.

Network automation has now become mandatory for the current IT environment in cases related to formulating a deep IT base or scheduled maintenance tasks. This becomes apparent as the various networks become more complex and extensive; the IT systems’ overall management and setup cannot occur manually. The solution is attained through network automation that automates numerous network application services including configuration, provisioning, monitoring, and diagnosing.

Monitoring the state of your services and running processes is crucial for ensuring system reliability and early detection of issues, allowing for timely interventions to prevent downtime. It also helps maintain optimal performance by identifying and resolving inefficiencies or errors in the system's operations. In this article, we'll detail how to use the Telegraf agent to collect systemd service statistics, and forward them to a data source.

Modern Applications can use a lot of external services, some of those interactions are expected, others not so much. There could be many reasons for those unexpected interactions, ranging from security vulnerabilities and various malware to outdated code and various reporting and statistics software may report to its creator or a third party. These unexpected interactions can be a security risk, and may also raise privacy concerns.

Every Python developer has heard about the GIL (Global Interpreter Lock) This lock simplifies memory management and ensures thread safety, but it also limits the performance of multi-threaded, CPU-bound programs because threads can’t run Python code in parallel. Here is a great explanation of why Python requires the GIL by Python’s creator, Guido van Rossum: Guido van Rossum: Will Python ever remove the GIL? | Lex Fridman Podcast Clips.