Cloud Ctrl Blog
Cloud Ctrl has an advanced machine learning engine and has proven 95% predictive accuracy that continually increases over time. Our predictive model is continually updated, in real-time, based on data from hundreds of customers, and thousands of service instances across our cloud providers- AWS, Azure, Google and IBM. Our predictive analytics and machine learning is unique to Cloud Ctrl, other billing cost management platforms are yet to incorporate machine learning and provide true predictive analysis.
The Cloud Ctrl auditing feature was specifically inbuilt to meet the needs of our government customers. By establishing a connection between Cloud Ctrl and Azure Resource Manager, you unlock additional features within Cloud Ctrl such as Auditing. There are a number audit features including the ability for users to correlate changes with the graphs and charts on the UI interactively. You can pinpoint exactly what event caused a change in cost (up or down), and who made changes as an example.
We are pleased to announce the public preview of the Cloud Ctrl API.
You can now get the primary functions of Cloud Ctrl for programmatic access through a RESTful API: functions such as configuring integrations, querying multi-cloud usage, and creating custom events.
Worldwide spending on public cloud services and infrastructure is forecast to reach US$160 billion in 2018, representing an increase of 23.2 per cent over 2017.
Specific to technology, software-as-a-service (SaaS) will be the largest cloud computing category, capturing nearly two thirds of all public cloud spending in 2018 and will make up more than half of all public cloud services spending through 2019.
The only way to manage this increase in cloud spend within your organisation and predict where you will be in 2019 is with Cloud Ctrl. Deep insights and cloud billing management across multi cloud providers in a single dashboard. Trial it today for free cloudctrl.com.au