Operations | Monitoring | ITSM | DevOps | Cloud

An often-overlooked, powerful feature of DX UIM (Unified Infrastructure Management) is the Alarm Enrichment probe. Deployed on the Primary Hub as part of the standard installation, this feature has significant, often untapped potential to enhance the effectiveness of alarms generated by DX UIM.

Across regions and industries, organizations are continuing to expand their use of SD-WAN technologies. This move is happening for good reason. With SD-WAN, organizations are realizing reduced costs, improved communication security, and enhanced flexibility. One of the ways SD-WAN delivers these benefits is through an intelligent layer of abstraction that manages network traffic and dynamically controls the flow of data.

With all the hype surrounding AI, it’s critical to focus on building resilient networks capable of handling the performance demands that AI will introduce. As I often say, if your network observability solution isn’t detecting packet loss, neither will your AI engine. When you ask, “What’s the status of our global network health this morning?” a flawed or incomplete response could jeopardize critical decisions.

Keeping your network monitoring solution current is vital for several reasons. From a security perspective, outdated software may contain known vulnerabilities that attackers can exploit, putting your organization's data and operations at risk. Regular updates ensure the latest security patches are applied timely, efficiently protecting your systems against cyber threats.

Building on Broadcom’s innovative domain tools, the AIOps and Observability team’s thinking and use of topology has advanced significantly in recent years. To illustrate these innovations and their benefits for IT operations, we continue in this blog where the previous blog left off. In this post, we cover services—and the services layer—as an extension to AIOps topology. This allows us to achieve service observability and, in the process, business observability.

It happens often that an application, when running on bare metal, performs well. However, after the application is packed into an image, tested on Docker/Podman, then migrated to Kubernetes, performance plummets. With an increasing number of database calls issued by the application, the application response times increase. This common situation is often due to data transfer induced I/O delays.

Businesses, like pretty much all of us, continue to grow ever more reliant upon network connectivity. When that connectivity falters, it can be extremely disruptive—and very costly. According to a report in PCMag, an internet shutdown of one minute can cost a business like Amazon almost $978,000 in revenue losses. For Alphabet, the number is $538,000.

Applications today are more portable and distributed than ever before. We’re witnessing businesses accelerate their migration to cloud-based infrastructure and software as a service (SaaS). Yet, amid this cloud adoption wave, a noticeable “cloud exit” trend is emerging as organizations seek an optimal balance between cloud and on-premises infrastructure.