InfluxDB Cloud wins Best Use of the Cloud in the Internet of Things category SAN FRANCISCO, February 8, 2022 – InfluxData, creator of the leading time series platform InfluxDB, today announced InfluxDB Cloud was named a winner in the 2021-22 Cloud Awards category for Best Use of the Cloud in the Internet of Things. Now in its 10th year, the Cloud Awards recognize innovation and excellence in cloud computing among startups and global enterprises.

In this article, we’ll deep dive into all the basics to help you decide if AWS RDS is the right decision for your architecture and help you hit the ground running if you do end up AWS RDS. For many decades now, relational databases (RDS) have been the place to store your data. They are pretty flexible often use some kind of SQL dialect, which is one of the main languages taught in computer science classes, and widely understood by the average developer.

It takes only a glance at the daily headlines to see that cybercriminals are using increasingly sophisticated methods to breach cloud defenses and access sensitive data. The complexity of cloud frameworks makes it extraordinarily difficult to detect nefarious activities. In many cases, attackers lurk in systems for weeks or months before pulling the trigger.

The future of financial services technology infrastructure is hybrid multi-cloud. Hybrid multi-cloud architecture provides financial institutions flexibility, portability, interoperability, and the control needed to consistently deploy and manage enterprise applications and workloads. By adopting hybrid cloud, finservs realise the benefits of effective cloud cost management, security, compliance, efficiency and agility. The hybrid cloud strategy starts with choosing the right enterprise Linux.

Kubernetes monitoring involves tracking application performance and resource utilization across cluster components, such as pods, containers, and services. The goal is to gain visibility into the health and security of your clusters. Kubernetes provides built-in features for monitoring, including the resource metrics pipeline that tracks several metrics like node CPU and memory usage and a full metrics pipeline.