In the IT infrastructure serving increasingly digitized enterprises, the criticality of network quality of service is more than evident to ensure connectivity to everyone at any time. System and network administrators need to understand which technology enables efficient, reliable, and lowest latency data transmission between IT applications and services.

Subnetting is the process of dividing a network into several smaller, independent subnets. Each subnet is a portion of the core network that follows a specific logic. We know the definition of the use of subnets in local networks that we could use in our company, y, since the benefits of using subnetting are several.

The infrastructure must be “invisible” to the user, but visible to IT strategists to ensure the performance and service levels required by the business, where observability (as part of SRE or site reliability engineering) is essential to understand the internal state of a system based on its external results. For effective observability, there are four key pillars: metrics, events, logs, and traces, which are summarized in the acronym MELT.

In a business world increasingly oriented towards efficiency and mobility, network management becomes a critical factor for success. Cisco Meraki stands as an undisputed leader thanks to its ability to offer a fully cloud-based technology, allowing companies of any size to manage their network devices remotely and centrally.

We recently published the IT Topic “IT System Monitoring: advanced solutions for total visibility and security”, in which we present how advanced solutions for IT system monitoring optimize performance, improve security and reduce alert noise with AI and machine learning. We also mentioned that there are four golden signals that IT systems monitoring should focus on.

Learn the differences between SLA, SLO and SLI and how to implement these metrics to improve the quality of service offered by your company. Also, learn about the challenges and best practices for implementing them, along with some real-world examples.

Resilience in today’s liquid business environment demands flexibility. The term “observability” replaces monitoring, reflecting the need to adapt and be agile in the face of challenges. The key is to dissolve operations into the cloud, integrating tools and operational expertise for effective resilience. I remember that when I started my professional career (in a bank) one of the first tasks I was handled was to secure an email server exposed to the internet.

You drink tap water every day, right? Do you know who invented the filtering mechanism that makes water pure and clean?… Well, do you actually care? Do you know that this mechanism is exactly the same in all the taps of all the houses of any country? Do you know that this specialized piece is the work of an engineer who does it just because? Can you imagine what could happen if this person had a bad day?

Talking about too many cybersecurity alerts is not talking about the story of Peter and the Wolf and how people end up ignoring false warnings, but about its great impact on security strategies and, above all, on the stress it causes to IT teams, which we know are increasingly reduced and must fulfill multiple tasks in their day to day.

Today, many companies generate and store huge amounts of data. To give you an idea, decades ago, the size of the Internet was measured in Terabytes (TB) and now it is measured in Zettabytes (ZB). Relational databases were designed to meet the storage and information management needs of the time. Today we have a new scenario where social networks, IoT devices and Edge Computing generate millions of unstructured and highly variable data.