[et_pb_section fb_built=”1″ admin_label=”Section” _builder_version=”4.22.0″ _module_preset=”default” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” locked=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_4,3_4″ _builder_version=”4.27.0″ _module_preset=”default” custom_padding=”50px||||false|false” custom_css_main_element=”z-index:0!important;” global_colors_info=”{}”][et_pb_column type=”1_4″ disabled_on=”on|on|off” _builder_version=”4.22.0″ _module_preset=”default” custom_padding=”||||false|false” sticky_position=”top” sticky_offset_top=”100px” sticky_limit_bottom=”section” motion_trigger_start=”top” global_colors_info=”{}”][et_pb_text admin_label=”indice” _builder_version=”4.27.5″ _module_preset=”default” custom_margin=”||0px||false|false” custom_padding=”||14px||false|false” link_option_url=”#1″ global_colors_info=”{}”]<\/p>\n
Sections<\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”4.27.0″ _module_preset=”default” custom_css_main_element=”z-index:0!important;” global_colors_info=”{}”][et_pb_text admin_label=”seccion” module_id=”1″ module_class=”ittopicscontent” _builder_version=”4.27.5″ _module_preset=”default” z_index=”0″ custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||false|false” hover_enabled=”0″ custom_css_main_element=”font-family:%22Pandora-Light%22;” locked=”off” global_colors_info=”{}” sticky_enabled=”0″]A clear and structured guide to understand what IT monitoring is, how it works, which metrics matter, and how to choose the most suitable software.<\/strong><\/p>\n In Top Gun: Maverick, Tom Cruise faces two superior fighter jets without instruments, relying only on instinct, skill, and eyesight. Even the movie acknowledges that if Hangman had not appeared, Cruise would have been blown to pieces. The same happens when we manage our technological infrastructure without instruments, without IT monitoring tools.<\/p>\n Because even without enemies on your tail, not having IT monitoring software is flying blind<\/strong>, hoping not to crash into a mountain you did not even know was there.<\/p>\n Because in real life, the cavalry never arrives, and we live in a time where fault tolerance is nonexistent\u2014and very expensive. In this scenario, a monitoring tool is not a luxury or a \u201cnice-to-have\u201d accessory; it is the central nervous system of any organization<\/strong>. This guide is the extinguisher and the antidote, where we will explore:<\/p>\n Let us begin with the foundations.<\/p>\n In recent years, we have gone from having a server in a storage closet to managing hybrid environments, where critical information flows between on-premise data centers, AWS clouds, or ephemeral containers that are born and die within seconds.<\/p>\n IT monitoring<\/a> in this context means observing, measuring, and analyzing<\/strong> the behavior of our technology to ensure it helps the business achieve its objectives.<\/p>\n However, here lies the usual trap.<\/p>\n Many organizations confuse having visibility with having operational control<\/strong>.<\/p>\n Installing a tool that reports a full hard drive after the server has already crashed is not controlling your infrastructure; it is performing an autopsy.<\/p>\n Modern monitoring aims to anticipate<\/strong>, understand trends, and correlate seemingly unrelated data to provide answers even before the question \u201cwhat is happening?\u201d is asked.<\/p>\n This is critical because modern infrastructure is complex and, like everything complex, fragile.<\/p>\n A failure in a forgotten microservice tucked away in a corner can trigger a cascade of errors that brings down your e-commerce platform. Without visibility into every link in that chain, the IT team becomes a group of firefighters putting out fires instead of architects building value.<\/p>\n Strictly speaking, IT monitoring is the continuous process of collecting, analyzing, and using information<\/strong> to control and optimize the performance, availability, and security of technological resources.<\/p>\n Put simply, monitoring is the act of constantly asking your systems: \u201cAre you okay? Are you working properly? Do you have enough capacity to keep doing so?\u201d And expecting an honest answer\u2014not the terrifying: \u201cI do not know, you figure it out…\u201d.<\/p>\n Everything. Because anything left in the shadows, no matter how small, can bring down the house of cards. It is about deeply understanding the health of:<\/p>\n This is the line that separates professionals from amateurs when it comes to monitoring:<\/p>\n The goal is to solve problems and keep the phone silent at three in the morning.<\/p>\n The variety of IT monitoring software is broad and often confusing. To make it simple without sacrificing accuracy, we can classify tools and strategies according to their primary focus. It focuses on interconnection devices<\/strong> (routers, switches, firewalls) and the traffic flowing through them. From the circulatory system we move to the system\u2019s organs. Application Performance Monitoring (APM) moves one level higher and no longer observes the machine, but the code running on it<\/strong>. The cloud is someone else\u2019s computer\u2026 which can send us an astronomical bill if we are not careful, or stop working while depending on external teams we do not control. This is the key for those in charge<\/strong>\u2014managers and clients\u2014because it translates bits into revenue and satisfaction<\/strong> (which should generate more revenue). Now that we understand the general picture, let us zoom in to see what is controlled and managed in each area.<\/p>\n Having millions of data points is noise, but IT monitoring is about extracting key information<\/strong> from that data to make the right decisions. These basic vital signs tell us whether our Frankenstein is alive\u2014and whether it is healthy or falling apart at the seams. Here we enter business logic and verify whether our system behaves correctly, controlling aspects such as:<\/p>\n Experience is everything, because it is what the human on the other side perceives\u2014and what will trigger support tickets<\/a> and complaints if it is not adequate, regardless of what technical data says. When evaluating monitoring tools, we all fall for bright lights and 3D charts. They are the first thing we see, and I will not deny that, in the real world, appearances matter. 1. Metric and log collection capabilities Detecting a failure is useless if nobody is notified. Why wake up a technician at 4 a.m. to restart a service if the software can do it automatically? Today you have 100 servers; tomorrow a Google subsidiary acquires you, and you must manage 10,000. Information must be processed and presented in a format that can be easily consumed. In IT we love debates like this, sometimes to the point of pedantry. Are monitoring and observability the same? Obviously not, although they are closely related. Do we need both? Yes.<\/p>\n The key to observability is answering: \u201cWhy is the system behaving this way?<\/strong>\u201d Even if we purchase the best tool on the market, monitoring is not a plug and play matter. Installing and forgetting is the fastest way to waste money, because implementation must not only be gradual, but monitoring must evolve alongside our infrastructure<\/strong>, or we will create blind spots as changes and expansions occur. We have just installed Pandora FMS and the possibilities are so extensive that we want to \u201cmonitor everything.\u201d The tool can do it without issue, but that would be a beginner\u2019s mistake. Now that we know what we want to observe, it is time to deploy our \u201ceyes\u201d into the system. This can be done in two main ways.<\/p>\n These types of tests are also available in Pandora FMS to complement comprehensive monitoring, but on their own they are not sufficient<\/strong>. This is where the magic happens (and where mediocre tools fail). The system receives millions of raw data points, but a good IT monitoring solution does not simply display them \u2014 it normalizes them and identifies patterns to generate actionable knowledge<\/strong>. Sooner or later, something happens and we must respond. Ideally, however, modern monitoring should be capable of deploying certain automatic mitigation measures<\/strong> to reduce workload on the team. Every incident is a lesson<\/strong>. In an ideal scenario, after resolving an issue, the team conducts a post-mortem analysis supported by monitoring data.<\/p>\n With this approach, monitoring is refined based on real operational experience<\/strong>. Thresholds are adjusted to reduce noise and new checks are added to cover blind spots discovered during incidents.<\/p>\n Each monitoring strategy is as unique as the need that motivates it. Here are some examples illustrating its diversity.<\/p>\n IT management is fueled by caffeine and horror stories. These should serve us like childhood tales \u2014 as warnings and lessons. This is how IT monitoring can become its own enemy, obscuring reality under the noise of a thousand trivial notifications. Using default values is a recipe for disaster. In many organizations, the network team has its own tool, the systems team another, and development uses a third for applications because someone on Reddit recommended it. IT exists to support the business, and business leaders do not think in terms of OSI models or server agents. If your report says \u201cRouter X12 in VLAN 4 is down,\u201d the CEO will call you into their office. Without sounding dramatic, choosing an IT monitoring tool is somewhat like getting married. If we choose poorly and must switch later, it will be painful and risky<\/strong>. The current trend is convergence. Ask: \u201cDoes the tool cover my entire current and future technology stack?<\/strong>\u201d Without invoking ghosts such as the VMware price increases we analyzed here<\/a>, being locked into a vendor is a strategic weakness<\/strong>. This is not only the license cost, but also the time and resources required<\/strong>, for example, if two engineers must dedicate themselves solely to keeping the monitoring system operational.<\/p>\n True scalability matters because every tool claims to scale \u2014 until you deploy 50,000 agents. This relates to hidden costs but deserves its own section because the best tool in the world is useless if no one uses it<\/strong>, whether due to lack of knowledge or frustration. I will not insult anyone\u2019s intelligence by claiming to be impartial. I am not. However, the reality is that Pandora FMS has been a multi-award-winning benchmark in monitoring\u2026 for more than 20 years<\/strong>. And of course, Pandora FMS embodies modern IT monitoring best practices, which are not reactive but proactive and predictive. Let us review some of the most common questions regarding monitoring.<\/p>\n No. Plain and simple.\n
Why IT monitoring is critical in modern infrastructures and distributed environments<\/h2>\n
\nUsers do not wait, and if an application takes three seconds to load, they leave. Or if a critical server goes down, losses per minute can reach thousands of euros<\/strong>.<\/p>\n
\nIt is the difference between sleeping peacefully, knowing your systems are watching over that sleep, or waking up at three in the morning with your phone on fire due to avoidable incidents.<\/p>\n\n
What IT monitoring really is<\/h2>\n
What we must monitor<\/h2>\n
\n
Reactive vs. proactive monitoring<\/h3>\n
\n
Types of IT Monitoring<\/h2>\n
\nAnd yes, the logical trend is the integration of these pieces (that is, \u201call-in-one\u201d tools), but it is crucial to understand them separately first.<\/p>\n1. Network Monitoring<\/h3>\n
\nThe mission is to identify bottlenecks, packet loss, or link failures.
\nThis monitoring<\/a> is the foundation of the pyramid we are building, because if the network fails, nothing else matters<\/strong>.
\nFor further details, here is more information about network monitoring<\/a>.<\/p>\n2. Server and Infrastructure Monitoring<\/h3>\n
\nWhether it is the server rattling in the basement, a virtual machine in VMware, or a cloud instance, we care about CPU usage, RAM consumption, remaining disk space, or hardware temperature, for example.
\nThis has long been the natural habitat of the system administrator, and you can find more details in how to monitor servers<\/a>.<\/p>\n3. Application Monitoring (APM)<\/h3>\n
\nWhy does that database query take five seconds instead of half a second? Which function is consuming memory like chocolate?
\nThe answer to questions like these is vital for developers<\/strong> and DevOps teams.<\/p>\n4. Cloud and Hybrid Monitoring<\/h3>\n
\nTo prevent those heart attacks, this type of monitoring, usually integrating with the provider\u2019s APIs, not only observes performance but also cost and resource usage<\/strong> of ephemeral resources (Kubernetes orchestration, serverless functions\u2026).<\/p>\n5. Business and SLA Monitoring<\/h3>\n
\nAt this level, effective monitoring does not speak to the CEO in terms of server latency (which neither interests nor helps them), but about billing that increased by 20%, or about failing to meet SLAs (Service Level Agreements), meaning contractual compensation must be paid to the client (who may threaten to leave).<\/p>\nWhat Is Monitored in an IT Environment<\/h2>\n
\nWe achieve this by collecting the correct metrics.<\/p>\n1. Infrastructure Metrics<\/h3>\n
\nThese vital signs usually include, among others:<\/p>\n\n
2. Application Metrics<\/h3>\n
\n
3. Service and Experience Metrics<\/h3>\n
\nThus, we measure aspects such as:<\/p>\n\n
What a Modern IT Monitoring Software Must Provide<\/h2>\n
\nBut we must go further, and the five pillars we should focus on<\/strong> as professionals are:<\/p>\n
\nThe tool must be able to speak many languages: SNMP<\/a> for networks, agents for servers, WMI for Windows, SSH for Linux, APIs for the cloud…
\nAnd not only when it comes to numbers, it must also be able to collect and interpret logs<\/a><\/strong>, which is often where the root cause of issues hides. This is the main challenge we encountered at Pandora, which is why from day one we focused on building Pandora FMS<\/a> not only as a centralized repository of information, but also as a universal log translator like in Star Trek<\/strong>, capable of turning millions of data points into intelligence and knowledge.<\/p>\n2. Alerts and Threshold Management<\/h3>\n
\nHowever, there is a dark side. Drowning in a sea of alerts<\/strong> is a primary cause of lost sanity among technicians.
\nThe system must allow intelligent thresholds. It is not just about: \u201cAlert me if CPU > 90%,\u201d but: \u201cAlert me if CPU > 90% for 5 minutes and it is Monday morning,\u201d so we know whether the system is about to slow down during the first rush of the week.
\nTherefore, the tool must support alert customization, escalation mechanisms, and multichannel notifications<\/strong> (email, Slack, WhatsApp, SMS…).<\/p>\n3. Automation and Corrective Actions<\/h3>\n
\nThe ability to execute self-healing scripts in response to specific events is what differentiates a pure observation tool from a management tool.
\nThat said, automation must be gradual, controlled, and start with less critical processes<\/strong>, until we verify that it does not replace work with trouble.<\/p>\n4. Scalability<\/h3>\n
\nMonitoring software cannot become the bottleneck. It must support distributed architectures, high availability, and avoid performance degradation<\/strong> as data volume or managed assets increase.<\/p>\n5. Dashboards and Visualization<\/h3>\n
\nA technician needs to see real-time disk I\/O graphs, but the IT Director does not. At that level, they need a red or green indicator showing the overall service status.
\nFlexibility in creating customized views and dashboards<\/a> for different audiences is non-negotiable today.<\/p>\nIT Monitoring vs. Observability<\/h2>\n
\n
\nIt goes one step beyond symptoms (knowing that the disk is full and failing) to analyze root causes (for example, an unnecessary log file generating gigabytes of data).
\nIf your system is monolithic or simple, monitoring covers 90% of the battle\u2014but we wish infrastructures were that simple. With distributed, hybrid, and multi-provider systems, a good monitoring platform must integrate observability principles, or we will be lowering the fever every day without curing the disease.<\/p>\nHow IT Monitoring Works in Practice<\/h2>\n
\nTherefore, monitoring in practice involves five interconnected phases<\/strong> that must be implemented under the principle of continuous improvement.
\nThese are the phases.<\/p>\nPhase 1: Planning and Defining What Is Critical for the Organization<\/h3>\n
\nWhen everything is important, nothing is important<\/strong>, and we will end up drowning in irrelevant data.
\nThat is why everything begins with an asset audit and the key question:
\n\u201cWhat processes would cause us the greatest financial and reputational loss if they failed?\u201d
\nThe order of importance of those processes determines monitoring priorities and the main KPIs (Key Performance Indicators) to define and track.
\nIf necessary, and if the organization is large, we divide the deployment into stages and apply phase 2 first to the most critical elements.<\/p>\nPhase 2: Detection and Data Collection<\/h3>\n
\n
\nLikewise, this data must be centralized for potential audits and regulatory compliance. A professional tool must also serve as a secure and unified repository of such data<\/strong>.<\/p>\nPhase 3: Correlation, Processing, and Analysis<\/h3>\n
\nFor example, the system detects that database latency has increased (symptom A) while firewall traffic has simultaneously spiked (symptom B).
\nCorrelation links these events to suggest that an unscheduled backup may be saturating the network, affecting the database. Without this phase, the administrator would only see unrelated red lights.<\/p>\nPhase 4: Response and Automation<\/h3>\n
\nOtherwise, we will have highly paid engineers typing \u201csudo reboot\u201d into the terminal.
\nThe response phase has two levels:<\/p>\n\n
Phase 5: Review and Continuous Improvement<\/h3>\n
\n
Common IT Monitoring Use Cases<\/h2>\n
\n
Common Mistakes and Best Practices in IT Monitoring<\/h2>\n
\nHere are the most common mistakes we must engrave in our minds.<\/p>\n1. Excessive Alerts (Alert Fatigue)<\/h3>\n
\nBest practice: <\/strong>An alert must always be actionable. If a notification does not require human intervention, it should not be an alert \u2014 it should be an entry in a weekly report.
\nThe philosophy should be: if monitoring wakes me up, it is because the house is on fire.<\/p>\n2. Static and Poorly Defined Thresholds<\/h3>\n
\nIf a database server is designed to consume nearly all available RAM to optimize caching, triggering an alert at 80% is absurd and only generates noise.
\nConversely, a file server reaching 90% disk usage may still have months of life left if growth is slow.
\nBest practice: <\/strong>Work with baselines and trends. What matters is not the absolute value, but deviation from normal behavior. Modern software must learn what \u201cnormal\u201d means for each specific system.<\/p>\n3. Lack of Correlation and Tool Silos<\/h3>\n
\nWhen the website slows down, the blame game begins.
\nNetworking claims traffic is normal, Systems says CPU usage is fine, and Development insists the code has not changed. No one sees the full picture.
\nBest practice: <\/strong>Centralize everything in a unified platform. The tool must ingest data from all sources and correlate it to show, for example, that the web slowdown coincided with an update.<\/p>\n4. Lack of Business Context<\/h3>\n
\nTranslating that into \u201cThe Madrid sales office cannot process orders due to a communications failure caused by obsolete equipment\u201d makes it a business issue.
\nBest practice: <\/strong>Translate or map infrastructure to business services. Monitoring should not only watch servers, but also \u201cBilling Service\u201d or \u201cOnline Store,\u201d understanding which physical and logical components support those services.<\/p>\nHow to Evaluate IT Monitoring Software<\/h2>\n
\nMonitoring forms part of your infrastructure\u2019s foundation, and you do not want to discover you built on sand after adding two floors.
\nBeyond marketing claims, vendors must be willing to provide a demo, and we must come prepared with a detailed list of requirements<\/strong> to rigorously validate all our concerns.
\nDuring this evaluation, consider:<\/p>\n1. Present and Future Capabilities<\/h4>\n
\nMany modern solutions excel at monitoring Kubernetes but cannot communicate with legacy systems. In Pandora FMS, for example, it does not matter whether it is Windows, BSD, AIX, or legacy systems such as HP-UX \u2014 there is an agent for everything.<\/p>\n2. Flexibility and Vendor Lock-in<\/h4>\n
\nDoes the tool offer flexibility? Does it provide an open and robust API? Without that, it cannot adapt to your business. Furthermore, is it open source like Pandora FMS<\/a> or a closed black box?<\/p>\n3. The Real Total Cost of Ownership (TCO)<\/h4>\n
4. True Scalability<\/h4>\n
\nThe issue is not just whether the database can handle the load, but whether the system performs consistently<\/strong> with 10 data points or 10,000.<\/p>\n5. Learning Curve and Usability<\/h4>\n
\nIf the learning curve resembles mastering Vim or building a dashboard requires a master\u2019s degree, the monitoring platform will gather dust \u2014 and preventable incidents will continue.<\/p>\nPandora FMS as IT Monitoring Software<\/h2>\n
\nThat is not achieved by chance, but by solving frustrations and addressing real-world challenges in the trenches of our clients\u2019 environments, with more than 50,000 installations across over 60 countries<\/strong>.
\nThis has been accomplished because it provides:<\/p>\n\n
\nAs always, talking (or writing, in this case) is easy \u2014 demonstrating is what truly matters. That is why we invite you to verify it with no obligation<\/a>.
\nThis way, nothing will happen in any corner of your infrastructure without you knowing about it \u2014 even before it happens, like in Minority Report.<\/p>\nFrequently Asked Questions about IT Monitoring Software<\/h2>\n
Is traditional monitoring sufficient in cloud environments?<\/h4>\n
\nIn contexts where cloud instances appear and disappear, and infrastructure is composed of heterogeneous components from multiple providers, tools must integrate with vendor APIs and keep pace with the rapid evolution of technology.<\/p>\nWhen does a company need to move from monitoring to observability?<\/h4>\n