Cloud Platform

SYDA

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

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

Roll-out

verification of SYDA with autoscaling activation