Operations | Monitoring | ITSM | DevOps | Cloud

Every day, employees and leaders of enterprise IT organizations make multiple decisions that affect their company’s success or failure. To stay ahead of the competition and drive innovation, an increasing number of organizations are turning to decision intelligence (DI), a relatively new field combining data science, decision theory and artificial intelligence, to augment and improve decision-making.

The Apache Kafka community is pleased to announce the release of Apache Kafka 3.8.0. As a release manager for this version, I want to personally thank all users and the team of 200+ contributors for the release of Apache Kafka 3.8.0. This was truly a community effort to bring new features and improvements to an open source streaming platform used by thousands of organizations worldwide.

MSPs working in the cloud are pretty popular these days. About 73% of businesses using cloud-based MSP solutions plan to increase their usage. For MSPs, that’s both good and bad news. The good news is that more organizations are using MSPs to scale their business profitably. The bad news? It also means tracking several customers at once and managing their accounts. MSPs need a cloud management solution to handle multi-cloud setups.

IT and security teams dealt with massive changes a few short years ago. New deployment environments added to the monitoring toil, while architectural shifts complicated IT operations’ cost and performance effectiveness. On the security side, the protected perimeter expanded exponentially. These factors resulted in a huge increase in data volumes and complexity, leading teams to turn to tooling and platforms to cope with their data.

AWS has Savings Plans and Reserved Instances, two very different opportunities for users to save big on your cloud spend budget. But which of these two plans is best for you, and how can you start saving on your cloud management? In this guide, we’ll cover both options so you can make the best choice when using AWS.

The Internet of Things (IoT) is rapidly reshaping the world. From smart devices in our homes to connected sensors in industrial settings, the amount of data generated is rapidly increasing. But what use is this data if we can’t collect and analyze it in real-time to gain key insights? This is where the MING stack (which includes Mosquitto/MQTT, InfluxDB, Node-RED, and Grafana) comes in. This powerful combination of open-source tools is intended to simplify IoT data management.