AWS currently offers over 200 services. Some of those make up the AWS Cost Management suite. This group comprises AWS Cost and Usage Report (CUR), AWS Budgets, AWS Cost Explorer, AWS Cost Categories, and AWS Cost Anomaly Detection. Budgets and Cost Explorer are an excellent pair of complementary tools in this group. They have similarities that cause users to wonder if they need both and, if so, why. Here is a brief overview of the differences between AWS Budgets and Cost Explorer.

Are you migrating to Azure or another public Cloud? A client of ours did, and they didn’t use Galileo Cloud Compass. Do you know what happened? They didn’t experience the savings they expected, and their Azure invoices were a lot more than expected—about 60% more. There are a couple of reasons for this. One is that they didn’t have an accurate way to price their workload for the Cloud. Just think about understanding the pricing model for each of the major Cloud vendors!

Are you migrating to Azure or another public Cloud? A client of ours did, and they didn’t use Galileo Cloud Compass. Do you know what happened? They didn’t experience the savings they expected, and their Azure invoices were a lot more than expected—about 60% more. There are a couple of reasons for this. One is that they didn’t have an accurate way to price their workload for the Cloud. Just think about understanding the pricing model for each of the major Cloud vendors!

One of the benefits of deploying software on the cloud is allocating a variable amount of resources to your platform as needed. To do this, your platform must be built in a scalable way. The platform must be able to detect when more resources are required and assign them. One method of doing this is the Elastic Load Balancer provided by AWS. Elastic load balancing will distribute traffic in your platform to multiple, healthy targets. It can automatically scale according to changes in your traffic.

“It’s in the cloud!” Whether you’re talking about workplace technology or struggling to explain file-sharing to a technologically-challenged relative, we’ve all been trying to learn the ins and outs of cloud computing over recent years. It’s no easy task, as cloud computing has been changing rapidly – which brings us to the latest evolution: the distributed cloud.

InfluxDB is increasingly being used in IoT solutions to store data from connected devices. Now it can also be used on IoT edge gateways as a data historian to analyze, visualize and eventually transmit aggregated IoT data up to a centralized server. In this article we’re going to look at three simple ways you can connect an instance of InfluxDB on your IoT Edge device to another instance of InfluxDB in the cloud.

It's too difficult for product teams to find the right vendors. Vendors obscure details, promise everything or downright lie, have special pricing for those who know how to ask, and there are just too many of them! This problem is getting worse because of the "Cambrian explosion" in cloud tooling, a blossoming in the number of solutions and niche specializations.