Operations | Monitoring | ITSM | DevOps | Cloud

Generative AI or Generative Artificial Intelligence, in its simplest form, means being capable of generating text, images, or any data using generative models, mostly in response to prompts. You would have all heard of OpenAI’s ChatGPT. It is generative AI in action. Essentially, What do you do in ChatGPT? You type in a topic or a question, and the robot replies with structured answers.

Broadcom offers two robust solutions for network operations: DX NetOps and AppNeta. These solutions work together to provide active, passive, and infrastructure monitoring, giving you continuous, end-to-end visibility into your networks. Our vision is to bring DX NetOps and AppNeta closer together to offer experience-driven NetOps—providing a unified solution that delivers comprehensive network visibility and network path analytics.

February 20, 2024 We’re excited to announce the latest enhancements to Anodot’s Cloud Cost platform, bringing cutting-edge improvements in anomaly detection and budgeting capabilities. Our commitment to innovation continues to shape the way businesses approach data analysis and financial planning.

As individuals become increasingly conscious of their personal data and how it is used, compliance with data protection regulations is a top priority for organizations worldwide. However, a challenge arose with cross-border transfers of personal data between the EU and the US following the Schrems II ruling by the Court of Justice of the European Union, leading to the creation of a new privacy framework.

Managed Service Providers (MSPs) have traditionally been focused on IT services, offering solutions like network management, data backup, and cybersecurity. However, the evolving market demands and the increasing complexity of business operations have pushed MSPs to diversify their service offerings beyond traditional IT solutions. This expansion reflects the need to adapt to the needs of businesses. Of course, there are several moving parts to this type of MSP differentiation.

Monitoring systems are invaluable for detecting incidents before they spiral into catastrophes. However, there's a hidden danger lurking within even the most robust monitoring setups: false alarms. When systems are overly sensitive, they raise alerts for incidents that don't actually exist. While this may seem harmless on the surface, hyper-sensitive monitoring can quietly drain time, money, and morale in ways that only become apparent over time.

Incident management isn't just about technology; it's about people too! Understanding the human factors—psychology, communication, and team dynamics—is just as crucial. Let's explore how these elements are essential in incident management.

$1.81 trillion—that’s how much software operational failures cost US companies in 2022. But you can avoid such software mishaps. How? With robust incident management! However, running an incident management is no easy feat. It comes with its fair share of challenges. The following are some typical problems you might face when managing incidents: Let’s dive into the nitty-gritty of what causes these problems, their consequences, and how to fix them.

Just as an atom is the building block of all matter, a network packet is a basic unit of data transmitted over a network. But to visualize how atoms makeup a piece of metal, scientists need an electron microscope. Likewise, to visualize, observe, and, most importantly, understand the behavior of network packets in a network, a specialized tool is needed: a network path analysis tool. This tool can visually trace the path taken by network traffic from source to destination.