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Average Ratings 0 Ratings
Description
IBM Cloud® Code Engine is an entirely managed, serverless solution designed for developers. You can upload your container images, batch jobs, or source code, allowing IBM Cloud Code Engine to handle and safeguard the infrastructure beneath. There's no requirement for you to size, deploy, or scale your container clusters – everything is managed seamlessly. Additionally, you don’t need any expertise in networking, as IBM Cloud Code Engine takes care of deployment, management, and autoscaling. Say goodbye to the headaches of cluster administration, sizing, and concerns about over-provisioning. You only incur costs based on your actual usage, making it a cost-effective choice. Create impressive applications in your preferred programming language and deploy them in mere seconds on this serverless platform, eliminating the need for infrastructure management. All aspects of cluster sizing, scaling, and networking are efficiently managed. Furthermore, your applications are automatically protected with TLS and kept isolated from other workloads, enhancing their security. This innovative platform allows you to deploy and securely integrate web applications, containers, batch jobs, and functions with ease. It's the perfect solution for developers seeking a hassle-free deployment experience.
Description
Security and observability tailored for Kubernetes environments. Implementing security and observability as code is essential for modern cloud-native applications. This approach encompasses cloud-native security as code for various elements, including hosts, virtual machines, containers, Kubernetes components, workloads, and services, ensuring protection for both north-south and east-west traffic while facilitating enterprise security measures and maintaining continuous compliance. Furthermore, Kubernetes-native observability as code allows for the gathering of real-time telemetry, enhanced with context from Kubernetes, offering a dynamic view of interactions among components from hosts to services. This enables swift troubleshooting through machine learning-driven detection of anomalies and performance issues. Utilizing a single framework, organizations can effectively secure, monitor, and address challenges in multi-cluster, multi-cloud, and hybrid-cloud environments operating on either Linux or Windows containers. With the ability to update and deploy security policies in mere seconds, businesses can promptly enforce compliance and address any emerging issues. This streamlined process is vital for maintaining the integrity and performance of cloud-native infrastructures.
API Access
Has API
API Access
Has API
Integrations
API Agent
Calico Cloud
Calico Enterprise
FortiADC
Kubernetes
Pricing Details
$.5 per 1 million HTTP request
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/code-engine
Vendor Details
Company Name
Tigera
Country
United States
Website
www.tigera.io
Product Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
Product Features
Cloud Security
Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management
Cloud Workload Protection
Anomaly Detection
Asset Discovery
Cloud Gap Analysis
Cloud Registry
Data Loss Prevention (DLP)
Data Security
Governance
Logging & Reporting
Machine Learning
Security Audit
Workload Diversity
Container Security
Access Roles / Permissions
Application Performance Tracking
Centralized Policy Management
Container Stack Scanning
Image Vulnerability Detection
Reporting
Testing
View Container Metadata