The development of innovative technologies such as cloud computing, big data, the Internet of Things (IoT), 5G, and artificial intelligence (AI) continuously drives the deepening of digital transformation. Enterprise and government cloud adoption has become a crucial direction in this process. As the adoption of cloud services grows across various industries, organizations benefit from many advantages, but also face challenges that cannot be ignored:
The Challenge of Achieving Comprehensive and In-Depth Observability in Cloud Networks
Cloud networks are large-scale and generate enormous data volumes, placing high demands on data collection, processing, and analysis capabilities. Cloud environments involve diverse technology stacks and protocols, requiring observability tools to offer broad compatibility and deep analytical insights. The highly dynamic nature of cloud leads to frequent changes in network topology, making real-time monitoring and tracking exceptionally challenging.
Cloud Assets Form a Virtual Network “Black Box”
The dynamic and large-scale characteristics of cloud environments render traditional network monitoring tools ineffective at tracking and visualizing all network connections, data flows, and component statuses. It is difficult to achieve in-depth insight into cloud assets and to optimize cloud network resources, resulting in security blind spots and making it hard to discover malicious activities or abnormal behaviors in time, which increases the risk of data leakage or attacks.
Difficulties in Troubleshooting and Locating Cloud Network Faults
The vast scale and multilayered structure of virtual networks, along with the complex and dynamic dependencies and access relationships among containers, virtual machines, hosts, access points, core networks, and network services, lead to intricate troubleshooting scenarios. When network faults or performance degradation occur, inability to quickly identify affected components and traffic paths results in a time-consuming and inefficient problem investigation and resolution process.
Solution
The Colasoft Intelligent Cloud Network Analysis Solution is designed to deliver comprehensive and in-depth observability of cloud-based business operations, ensuring the reliable and stable running of cloud platforms and in-cloud applications. The solution incorporates the Colasoft Cloud Matrix Intelligent Cloud Network Analysis Platform (abbreviated as Colasoft Cloud Matrix, English abbreviation "CMC") and is equipped with an expert-grade, high-quality knowledge base. It provides extensive cloud network visualization and fault analysis capabilities, helping users gain deep insights into in-cloud communication behaviors and performance metrics, improving system stability, reducing fault response time, and significantly lowering the O&M threshold with a comprehensive and intelligent solution.
Cloud Network Observability
By leveraging cloud network traffic analysis capabilities, the solution enhances cloud observability, enabling full understanding of east-west traffic communication patterns and quality within the cloud, as well as analyzing communication behaviors and quality among networks, applications, and resources.
Business Observability
Automatically identifies in-cloud applications through eBPF and traffic characteristics, and builds service invocation chains in a fully or semi-automated manner, enabling non-intrusive observability of network and application-layer performance for business systems.
Communication Path Tracking
By utilizing end-user session information, the solution can trace the path through which a session traverses cloud gateways, host machines, virtual machines, container pods, container nodes, physical network devices, and more, providing visualized information for each path node, and supporting efficient analysis and fault localization in case of failures or performance issues.
Full Traffic Traceability
Provides traceability capabilities for intermittent faults, inefficient communication paths, unknown security issues, and unnecessary resource expenditure. This is foundational for cloud network O&M, security management, and cost control, and is also key to ensuring business continuity within the cloud.
Intelligent and Accurate Alerts
Through dynamic baseline learning algorithms, it fully automatically learns all network and application performance metrics of in-cloud monitoring objects, and cross-validates abnormal information with the built-in knowledge base, enabling accurate alerts while greatly reducing false alarm rates.
Solution Value
Unified O&M Across Cloud and On-Premises
From virtual resources within the cloud to SDN (Software-Defined Networking) outside the cloud, the comprehensive traffic analysis capability covers private lines, data center backbone networks, in-cloud networks, and cloud resources, achieving unified monitoring and O&M across networks, applications, and business layers for both cloud and on-premises environments.
Comprehensive Visibility of Cloud Assets
Capable of fully discovering both active and unknown assets in the cloud environment, mapping the communication relationships and dependencies among assets, monitoring resource allocation and asset changes, thereby enhancing asset visibility and control. This helps to improve security capabilities, operational efficiency, and cost-effectiveness.
Efficient Fault Location and Root Cause Analysis
Based on relational data, the solution utilizes graph algorithms combined with indicator logic to achieve rapid and intelligent fault location. Through intelligent algorithms such as recursive deduction, chained analysis, and cross-validation, it enables fast, intelligent root cause analysis.
Solution Advantages
Industry-Leading Full Traffic Analysis Technology
Leveraging more than 20 years of Colasoft expertise in full traffic analysis, our protocol support and indicator coverage are industry-leading, empowering deeper observability into networks and business systems.
Low Consumption, High Efficiency, Enhanced Productivity
Exceptionally low resource consumption and efficient data collection and utilization enable in-cloud traffic classification, ensuring focus, eliminating inefficiency, improving cloud-network component performance, and optimizing cloud platform operations.
Proven Intelligent O&M Technology
This solution incorporates intelligent capabilities such as automatic application identification, automatic business topology mapping, out-of-the-box intelligent baselines and alerts, and automatic fault scope deduction. These comprehensive and accurate features also significantly reduce monitoring costs.
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