The world’s first synaptic autoscaler, set to revolutionize cloud infrastructure management.
Thanks to a proprietary technology based on artificial intelligence and inspired by the extraordinary adaptability of cerebral synapses, SYDA revolutionizes cloud resource management, dynamically optimizing operational costs and efficiency like never before
User Application
SYDA is a synaptic autoscaler that processes telemetry from cloud applications, mimicking the typical activity of neurons that regulate the strength of their synapses to maintain optimal performance levels.
KEY FEATURES
1
It is aplug & play technology: it connects to the application in minutes and starts analyzing it right away
2
Sets automatic allocation rules using real-time predictive tracking
3
Optimizes resource usage based on a performance target defined by the user
4
Does not access code or user data (only telemetry of managed resources)
5
Based on state-of-the-art predictive models for performance and cloud traffic
6
Compatible with leading public cloud providers and private cloud solutions
1
It is aplug & play technology: it connects to the application in minutes and starts analyzing it right away
2
Sets automatic allocation rules using real-time predictive tracking
3
Optimizes resource usage based on a performance target defined by the user
4
Does not access code or user data (only telemetry of managed resources)
5
Based on state-of-the-art predictive models for performance and cloud traffic
6
Compatible with leading public cloud providers and private cloud solutions
SYDA
comparison with leading autoscaler
P = Predictive U = Utilization T = Throughput RT = Response Time AR = Automatic Rules
Supported Environments
How SYDA works
(Example: Azure)
SYDA taps into the cloud to monitor resources
Reads data from Azure Monitor to analyze workload
AUTOMATICALLY adjusts parameters before performance degrades
Optimizes resources to ensure THE DESIRED PERFORMANCE AT THE BEST COST.
Syda results
SYDA implementation phases
SET-UP bringing in line with target application
TRAINING REPORT assessment of the degree of optimality of the application and indication of the margin of improvement achievable with SYDA (analysis conducted off-line)
STEALTH-MODE REPORT verification of SYDA’s ability to predict application behavior based on traffic not used in training
ROLL-OUT verification of SYDA with autoscaling activation
15 DAYS
15 Days
Set-Up
bringing in line with target target application
Training report
Evaluation of the degree of optimality of the application and indication of the margin of improvement achievable with SYDA (analysis conducted off-line)
Stealth-mode report
Testing SYDA’s ability to predict application behavior based on traffic not used in training