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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

No expertise required! Our Kubernetes Management platform allows you to create clusters in minutes. Every feature of our platform has been designed to automate DevOps. We ensure that every component is tightly interconnected by building everything from scratch. This allows us to achieve the best performance and reduce complexity. Syself Autopilot supports declarative configurations. This is an approach where configuration files are used to define the desired states of your infrastructure and application. Instead of issuing commands that change the current state, the system will automatically make the necessary adjustments in order to achieve the desired state.

Description

Zipher is an innovative optimization platform that autonomously enhances the performance and cost-effectiveness of workloads on Databricks by removing the need for manual tuning and resource management, all while making real-time adjustments to clusters. Utilizing advanced proprietary machine learning algorithms, Zipher features a unique Spark-aware scaler that actively learns from and profiles workloads to determine the best resource allocations, optimize configurations for each job execution, and fine-tune various settings such as hardware, Spark configurations, and availability zones, thereby maximizing operational efficiency and minimizing waste. The platform continuously tracks changing workloads to modify configurations, refine scheduling, and distribute shared compute resources effectively to adhere to service level agreements (SLAs), while also offering comprehensive cost insights that dissect expenses related to Databricks and cloud services, enabling teams to pinpoint significant cost influencers. Furthermore, Zipher ensures smooth integration with major cloud providers like AWS, Azure, and Google Cloud, and is compatible with popular orchestration and infrastructure-as-code (IaC) tools, making it a versatile solution for various cloud environments. Its ability to adaptively respond to workload changes sets Zipher apart as a crucial tool for organizations striving to optimize their cloud operations.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Apache Airflow No 
Argo CD Yes 
Azure Data Factory No 
ClickHouse Yes 
Databricks No 
Google Cloud Platform No 
Hetzner Yes 
Istio Yes 
Kubernetes Yes 
MariaDB Yes 
Microsoft Azure No 
MongoDB Yes 
MySQL Yes 
PostgreSQL Yes 
Redis Yes 
Slack No 
Terraform No 
dbt No 

Integrations

Amazon Web Services (AWS) Yes 
Apache Airflow Yes 
Argo CD No 
Azure Data Factory Yes 
ClickHouse No 
Databricks Yes 
Google Cloud Platform Yes 
Hetzner No 
Istio No 
Kubernetes No 
MariaDB No 
Microsoft Azure Yes 
MongoDB No 
MySQL No 
PostgreSQL No 
Redis No 
Slack Yes 
Terraform Yes 
dbt Yes 

Pricing Details

€299/month
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Syself

Founded

2020

Country

Germany

Website

syself.com

Vendor Details

Company Name

Zipher

Founded

2023

Country

United States

Website

zipher.cloud/

Product Features

Container Management

Access Control No 
Application Development No 
Automatic Scaling No 
Build Automation No 
Container Health Management No 
Container Storage No 
Deployment Automation No 
File Isolation No 
Hybrid Deployments No 
Network Isolation No 
Orchestration No 
Shared File Systems No 
Version Control No 
Virtualization No 

Alternatives

Alternatives

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