Overview new
Container Observability leverages open-source and cloud-native telemetry frameworks, eliminating the need for proprietary agents or custom code instrumentation. As illustrated in the architecture below, Container Observability is built upon an open ecosystem using standards such as OpenTelemetry (OTel) and native cloud provider tools, offering a future-proof and highly scalable observability solution.
Key Technical Advantages
Agentless Architecture: No proprietary agents or intrusive instrumentation are required, simplifying deployment and reducing system overhead.
Hybrid Compatibility: Supports observability across public cloud, on-premises, and hybrid environments through a unified platform interface.
Lightweight Data Collection: Requires only a single telemetry collector per data type per Kubernetes cluster, minimizing resource consumption and operational complexity.
Data Ownership and Flexibility: All telemetry remains within the application owner’s domain, allowing reuse across multiple analytical and operational use cases.
Cost Efficiency: Supports export to low-cost, object-based storage solutions (e.g., Amazon S3) instead of proprietary vendor backends, resulting in substantial cost savings.
Zero Egress Charges: Avoids additional cloud provider egress fees by maintaining in-cluster telemetry pipelines.
Flexible Deployment Models: Offers multiple deployment options including SaaS, on-premises installations, and air-gapped environments for secure or regulated use cases.
Insights with Container Observability
Once access to open-source and OpenTelemetry (OTel) telemetry is established, Container Observability leverages contextual correlation to unify and analyze data across all layers of the stack. The platform performs intelligent stitching of distributed telemetry streams—logs, metrics, traces, and events—to derive actionable insights.
Core Capabilities:
Full-Stack Auto-Discovery: Automatically maps service-to-service dependencies and links them to underlying infrastructure using a multi-layered topology view.
Unified Observability Interface: Offers a single UI that combines telemetry, performance metrics, configuration data, and system changes.
Real-Time Dependency Visualization: Enables Flow and Trace Analytics to expose inter-service dependencies and communication paths in real time.
Predictive Anomaly Detection: Uses ML models for early detection of anomalies, reducing the need for manual monitoring.
Automated Root Cause Analysis: Isolates fault domains and identifies contributing components without manual input.
Container Observability is a Kubernetes and Cloud Service observability platform designed for modern applications.
It leverages contextual machine learning to analyze real-time telemetry data, detect potential performance issues proactively, and predict degradations before they impact users. With automated causal analysis and remediation, Container Observability enhances operational efficiency and reduces manual effort. By integrating with leading open-source tools, it enables comprehensive, real-time visibility into cloud-native environments. Container Observability is purpose-built to accelerate innovation while maintaining the stability of Kubernetes-based workloads.
Rise of Microservices Architecture The shift toward microservices is largely driven by the need for greater agility and scalability in modern software development. Microservices break down applications into fine-grained, modular components that communicate via lightweight protocols. This modularity enhances clarity, simplifies development and testing, and improves resilience against architectural degradation. As a result, organizations can deliver updates more rapidly, supporting faster DevOps cycles and continuous improvement
Approach Container Observability provides a unified view of application interdependencies, operational flows, and component health—without relying on traditional agent-based instrumentation or code modifications. It simplifies the complexity of modern Kubernetes environments, making them easier to monitor, manage, and optimize.