Software product engineering
Monitoring & alerting
Building monitoring solutions for complex network environments
CodiLime helps companies build solutions for effective network monitoring in complex heterogeneous environments. Regardless of workload and device type, our solutions ensure 100% monitoring coverage.
Modern network environments can be very complex and include bare metals (on-prem solutions), data centers, private and public clouds. Additionally, automation, orchestration and SDNs can greatly enhance your network management, but at the same time add yet another level of complexity. All this poses great challenges to enterprises that want to build an effective network monitoring and analytics solution.
The two most common scenarios for such a solution include:
We have experience in both approaches.
Network applications generate tons of data that need to be analyzed quickly. The analysis should produce actionable insights that can be easily put into practice.
The brain processes visual data 60,000 times faster than it does text. Sound UX design with clear information-architecture can greatly improve the work of the operators of complex network monitoring systems and help them manage information-heavy environments.
A properly designed monitoring tool should have two characteristics. First, it should help users analyze the data. Second, it should navigate them towards the results they want to obtain. Data should be visualized so it adapts to the users’ actions and allows for an in-depth analysis, which is the ultimate goal of every data tool.
As the application complexity resulting from interconnected ephemeral, heterogeneous and distributed workloads grows exponentially, so too do concerns about the security of such applications. Using cloud and third-party services and exchanging sensitive information at Layer 7 over a network all create dangerous blind spots:
AIOps is the application of machine learning to network operations. Be it for detecting malicious nodes, predictive maintenance of networking devices, or traffic or IT infrastructure monitoring—AI-powered solutions can improve efficiency, reduce labor and human error, and tighten security.