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What is Tigera?
Security and observability specifically designed for Kubernetes ecosystems are crucial for the success of contemporary cloud-native applications. Adopting security and observability as code is vital for protecting various elements, such as hosts, virtual machines, containers, Kubernetes components, workloads, and services, ensuring the safeguarding of both north-south and east-west traffic while upholding enterprise security protocols and maintaining ongoing compliance. Additionally, Kubernetes-native observability as code enables the collection of real-time telemetry enriched with contextual information from Kubernetes, providing a comprehensive overview of interactions among all components, from hosts to services. This capability allows for rapid troubleshooting through the use of machine learning techniques to identify anomalies and performance challenges effectively. By leveraging a unified framework, organizations can seamlessly secure, monitor, and resolve issues across multi-cluster, multi-cloud, and hybrid-cloud environments that utilize both Linux and Windows containers. The capacity to swiftly update and implement security policies in just seconds empowers businesses to enforce compliance and tackle emerging vulnerabilities without delay. Ultimately, this efficient approach is essential for sustaining the integrity, security, and performance of cloud-native infrastructures, allowing organizations to thrive in increasingly complex environments.
What is Sift?
Sift functions as an all-encompassing observability platform tailored for modern, mission-critical hardware systems, providing engineers with the essential infrastructure and tools needed to effectively ingest, store, normalize, and analyze high-frequency, high-cardinality telemetry and event data originating from design, validation, manufacturing, and operations, all consolidated into a singular, coherent source of truth rather than depending on fragmented dashboards and scripts. By merging diverse data types, Sift synchronizes signals from various subsystems and structures information to support swift searches, visual evaluations, and traceability, which empowers teams to detect anomalies, perform root-cause analyses, automate validation tasks, and troubleshoot hardware accurately in real-time. Moreover, it boosts automated data reviews, facilitates no-code visualization and querying of large datasets, promotes continuous anomaly detection, and integrates smoothly with engineering workflows, including CI/CD pipelines and tools, thus enhancing telemetry governance, collaboration, and knowledge retention across previously disconnected teams. This integrated methodology not only elevates operational efficiency but also equips teams to make well-informed decisions grounded in rich, actionable insights drawn from their telemetry data. Furthermore, the platform's ability to adapt and scale with evolving engineering processes ensures that teams remain agile and responsive to the challenges of modern hardware development.
Integrations Supported
Calico Cloud
Calico Enterprise
FortiADC
Kubernetes
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Tigera
Company Location
United States
Company Website
www.tigera.io
Company Facts
Organization Name
Sift
Company Location
United States
Company Website
www.siftstack.com
Categories and 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
Categories and Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery