ScienceLogic customers are well-aware of the challenges inherent with the growing complexity of their IT infrastructures. That’s why you’re making investments in digital transformation and adopted SL1 as your AIOps platform of choice for your IT operations monitoring and management strategy.

Financial services firms face three key network issues: maintaining compliance with an array of regulations, keeping a growing horde of financial data hungry hackers at bay, and earning the trust of users with an always-on responsive network. Financial data is so valuable, cybercriminals make getting it a top priority. And financial services networks are so interconnected and complex, there are all sorts of ways hackers can try to break in. The security threat to finance is more than bad.

This blog post discusses some of the best practices for balancing the costs of cloud traffic monitoring while maintaining a reasonable level of visibility. Progress Flowmon 12 has introduced the processing of native flow logs from Google Cloud and Microsoft Azure, plus it has enhanced support for Amazon Web Services (AWS) flow logs.

Having any form of application discovery can be of great benefit. With these capabilities, you can determine what is deployed within your infrastructure and better understand what monitoring to apply to each device. When you know which applications are running within your environment, you can group devices by their associated applications.

The jitter and latency are the characteristics related to the flow in the application layer. Jitter and latency are the metrics used to assess the network's performance. The major distinction between jitter and latency is that latency is defined as a delay via the network, whereas jitter is defined as a change in the amount of latency. Increases in jitter and latency have a negative impact on network performance, therefore it's critical to monitor them regularly.