Despite the siren song of AI in the keynotes, visitors were far more focused on solving real-world problems. These are the issues that have plagued IT practitioners for years, if not decades: troubleshooting and validating performance and availability of their applications, services, and infrastructure.

As per a survey by Comcast Business, around 85% of IT leaders trust AI networking tools for meeting their organization’s goals. This stat alone is enough to show how big of a role AI is playing in network monitoring. And it’s just the beginning, with rapid development in Artificial Intelligence, we might see a lot more sophisticated AI use cases for network monitoring. But how exactly does AI help in network monitoring? What its roles, benefits, challenges, and how to implement it?

Businesses adopting new technologies are looking for a digital transition that assures streamlined performance upgrades while cutting costs. Servers, an important endpoint of the network, have a great influence on both aspects. Given its significance, proactively monitoring server traffic trends, bottlenecks, and optimizing the network to lessen outages or downtime is indispensable. However, monitoring without powerful strategies and tools that fulfill your business objectives is a lost cause.

Canonical announced today that it has joined the board of the OpenAirInterface Software Alliance (OSA) as a Strategic Member. By working together, both organisations aim to develop an end-to-end, open source and open API wireless software stack, and to deliver turnkey solutions for customers and partners.

Monitoring your network performance is important for many reasons and can help in detecting network issues such as bandwidth congestion, latency, packet loss, or hardware failures. By continuously monitoring your network, you can identify areas where improvements can be made, allowing for optimization of resources, better allocation of bandwidth, and overall enhancement of network efficiency.

Inspired by our own conversations with you at AWS re:Invent 2023, here’s what we think should be on your radar for 2024.

In the intricate landscape of contemporary network management, comprehensive and insightful tools have never been more critical. One tool that stalwartly deciphers the complexities of network traffic is NetFlow. Developed by Cisco Systems, NetFlow is a robust protocol that serves as a cornerstone for understanding, monitoring, and optimizing the flow of data within a network.

Cloud-based services have changed how individuals and businesses get things done. That doesn’t mean it’s all positive — there are some tradeoffs and compromises that come with cloud services and the internet. One major tradeoff is speed. For instance, if your website fails to load within three seconds, 40% of your visitors will abandon your site. That’s a serious dent for anyone doing business online. The culprit here is latency.

Continuing from my previous blog on the series, What you can’t do with Kubernetes network policies (unless you use Calico), this post will be focusing on use case number five — Default policies which are applied to all namespaces or pods.