Operations | Monitoring | ITSM | DevOps | Cloud

Artificial intelligence (AI) and machine learning (ML) are two cutting-edge technologies that are revolutionizing the field of website development. AI refers to the ability of computers to perform tasks that typically require human intelligence, such as recognizing speech, understanding natural language, and making decisions based on data. On the other hand, ML is a subset of AI that involves training algorithms to learn from data and make predictions or decisions based on that learning.

Developers and teams who want to deploy new code often and safely leverage feature flags to decouple code deployments from feature releases. Feature flags enable teams to release new features to a subset of users, making it possible to test a new feature’s impact on users and ensuring that developers can easily roll back the feature if it causes downstream issues.

The healthcare industry is one of the most complex and demanding industries in the world, with a wide range of products and supplies that must be carefully managed and tracked. Proper inventory management is critical to ensuring that hospitals, clinics, and other healthcare facilities have the supplies they need to provide the highest level of care possible.

In today's modern office environment, managing assets is a critical aspect of maintaining efficiency and productivity. From computer hardware and software to office furniture and equipment, there are countless assets that must be tracked and managed to ensure that they are used effectively and not lost or misplaced. This is where RFID (Radio Frequency Identification) technology comes into play, offering an innovative solution for effective asset management in the office environment.

Cloud native is the de facto standard approach to deploying software applications today. It is optimized for a cloud computing environment, fosters better structuring and management of software deployments. Unfortunately, the cloud native approach also poses additional challenges in code instrumentation that are detrimental to developer productivity.

Running your business using Teams isn’t without its challenges. We already did a post here about some of the Microsoft Teams alerts IT teams need to be alerted to sooner rather than later. But, because of how complex large Teams setups are, we’ve got a few more to add to the collection. Today, we’re focusing on the Microsoft-specific challenges you might face.

Sensu is the complete cloud monitoring solution for observability at scale, designed to give you rich insight and ensure that you know what’s going on everywhere in your system. With true multi-tenancy, an enterprise datastore that keeps pace as you scale, and streaming handlers to process all those events, you can rely on Sensu for cloud, container, and application performance monitoring that provides deep visibility into your entire infrastructure.

Let’s face it, enough chit chat, without monitoring, your computer walks on a tightrope, 30 floors high and without safety net: a false movement and BAM! It’s over! Brains omelette for the pigeons of your neighborhood! Therefore, today, in the sacred and glaucous Pandora FMS blog, we bring you a series of testimonies, of real cases, sent by our esteemed users, where we ask them to tell us their miseries in exchange for taking the only moral possible.