Below is the list of blog posts with the “strategy” category.

Every application depends on the network, yet networks are often the hardest part of the stack to diagnose when something goes wrong. Devices are up, utilization looks normal, and yet users report slowness or disconnections with no obvious cause in sight. The instinct is to rely on metrics alone: poll devices at regular intervals, watch the dashboards, set thresholds. That approach catches obvious outages, but it struggles with the harder questions: Why did latency spike when nothing looked congested?

Ever tried to analyze IIS logs manually across dozens of web servers during a security incident? If so, you know the challenge: massive log files across multiple systems, cryptic log entries, and no easy way to correlate events. When running Microsoft Internet Information Services (IIS) across large infrastructures, log data accumulates quickly, increasing the risk of missing critical events. IIS log analysis software is designed to collect, parse, and analyze IIS web server logs to monitor activity, troubleshoot performance issues, detect threats, and demonstrate compliance.

As organizations collect more telemetry data, their pipelines grow in complexity and scale. Telemetry pipelines are dynamic, continually adjusted to improve data quality, reduce costs, and meet evolving observability requirements. At this scale, even small configuration changes can significantly affect how much data moves through your pipeline. Without clear visibility, you rely on assumptions. Did the new filtering rule actually reduce the amount of data you’re sending to the SIEM?

Telemetry data is the stream of measurements that instrumented devices, applications, and services continuously emit to a central system so engineers can monitor behavior, diagnose problems, and make informed decisions in real time and over the long term. In this article, we’ll look at what telemetry data means in practice for modern software, networks, and cloud platforms: how it’s produced, what kinds of signals it carries (logs, metrics, traces, and more), and why it has become essential for observability, performance, and security at scale.

OpenTelemetry has become the de facto standard for telemetry data. Nearly 50% of surveyed cloud-native end-user companies have adopted it, and the project ranks as the second-highest-velocity initiative in the CNCF, behind only Kubernetes. The direction is clear: if your infrastructure doesn’t speak OpenTelemetry, it will increasingly be left out of the observability conversation. But adopting OpenTelemetry across an entire infrastructure is a different problem than adopting it in a greenfield application.

Collecting, processing, and forwarding logs and metrics at scale. OpenTelemetry provides a common instrumentation model that makes it easier to collect telemetry data across distributed systems, and many modern applications are adopting it as a standard for generating logs and metrics. However, in practice, you still need to collect, process, and shape the data before it becomes useful. You cannot simply forward raw telemetry data downstream without risking that your observability platform becomes expensive storage instead of a means of maintaining visibility into your environment.

Centralized log management is the practice of collecting logs from across an environment, including applications, servers, containers, networks, and cloud services, and storing them in a single location where they can be searched and analyzed. For operations and security teams, centralized logging is now a core requirement. Without it, logs are scattered across hosts, ephemeral containers, cloud consoles, and disconnected tools. This fragmentation slows troubleshooting, complicates incident response, and limits visibility during security investigations.

A practical approach to converting existing logs into modern observability. OpenTelemetry promises a vendor-neutral standard for observability, consistent telemetry, and the flexibility to change backends without rewriting everything. In practice, however, OpenTelemetry adoption often runs into a familiar obstacle: reality. Here’s a common scenario. You’re eager to improve observability, but your environment includes a mix of legacy applications, network devices, and third-party systems. Many of these were never designed for modern instrumentation, and changing them is risky, expensive, or simply not an option.

Some still think telemetry is a futuristic concept, but it isn’t. It’s already integral to the smooth running of everything from websites, e-commerce platforms and mobile apps to manufacturing, traffic control and much, much more. And it all begins with the humble data log. From the earliest days of computing, programmers have recorded useful information — often in a file — to help track and react to potential threats and understand what’s going on "under the hood" of their IT infrastructures.

In the past, we’ve written about monitoring file access in Windows. However, monitoring file access events alone doesn’t capture the full lifecycle of changes that matter for security and compliance. To gain true end-to-end visibility, you need to track not only when a file is accessed, but also when it’s modified, renamed, or deleted. In this guide, we’ll show how combining File Integrity Monitoring (FIM) with Windows Security Auditing delivers a complete file monitoring solution and how NXLog Agent ties these log sources together.

As system and network administrators know, DNS logs are essential for understanding what’s happening across your infrastructure, whether you’re troubleshooting slow lookups, investigating odd traffic patterns, or monitoring your security posture. We recently had the opportunity to help a customer set up monitoring for BIND9 logs and discovered that the two main options, syslog and dnstap, offer very different experiences in setup, performance, and the level of DNS visibility they provide.

It’s Halloween season, and while everyone else is worried about ghosts and goblins, you—the sysadmin holding the fort—know the real terror: that dusty print server in the corner that’s been running firmware from 2014. Or the Raspberry Pi someone set up to monitor the server room temperature "temporarily" three years ago. Or the CEO’s personal tablet that absolutely must connect to the internal network because "it’s just easier this way.

Organizations invest heavily in sophisticated monitoring platforms, deploy countless agents across their infrastructure, and build elaborate dashboards to track every metric imaginable. Yet amid this pursuit of comprehensive visibility, a dangerous blind spot often emerges: the observability system itself becomes unobservable. This meta-problem represents one of the most insidious risks in modern infrastructure management. When telemetry collection fails silently—​whether due to misconfiguration, infrastructure changes, or system failures—​operations teams continue making critical decisions based on incomplete or stale data, unaware that their digital nervous system has developed gaps in coverage.

The AI gold rush has arrived, and organizations worldwide are making unprecedented investments in cutting-edge accelerator hardware. GPU clusters worth millions of dollars are being deployed at breakneck speed, with companies betting their competitive futures on these silicon powerhouses. Yet beneath the excitement of acquiring the latest H100s or MI300s lies a sobering reality: the most expensive part of your AI investment isn’t the initial purchase—​it’s ensuring that hardware delivers value every single moment it’s operational.

Do you ever feel like you’re drowning in data? From endpoint logs and firewall events to database auditing and cloud metrics, the sheer amount of data is overwhelming. While telemetry data is crucial for threat detection, incident response, and compliance, it also brings a major challenge: log noise. Log noise obscures meaningful security signals. If left unchecked, you risk increased false positives, overloading security tools, higher SIEM licensing costs, and, most importantly, SOC alert fatigue.

Today, most enterprises use a security log analytics solution or SIEM (Security Information & Event Management), but analytics are only as good as the data fed into your solution. If you’re missing data sources or are failing to extract full value from the data, you won’t see the big picture. This is an issue new customers commonly mention to NXLog. That’s why one of our key goals is to provide a solid data collection layer that ensures all relevant data is collected and properly fed into the SIEM.

Nation-state-sponsored hacking stories are everyone’s favorite Hollywood movies — until our personal or corporate sensitive data shows up on the dark web for sale, being compromised. In real life, cyber espionage groups’s activities trigger security enforcement. First in the government sector, then the government standards slowly shift industry norms starting by gently forcing vendors who are also selling into government contracts. In the case of the recently announced playbook on MICROSOFT EXPANDED CLOUD LOGS IMPLEMENTATION PLAYBOOK, issued by the US Cybersecurity and Infrastructure Security Agency (CISA), it all started in July 2023, when the Chinese cyber espionage group Storm-0558 exploited a vulnerability in Microsoft’s Outlook email system to gain unauthorized access to email accounts belonging to U.

Are you looking to replace Snare? Here’s how NXLog Agent compares in real-world environments. This article will help if you consider a new log collection solution or evaluate alternatives to your existing deployment. It answers key questions from organizations that have migrated from Snare to NXLog solutions. Feature comparison - Snare Agent vs. NXLog Agent Multiple log collection agents are available on the market. While both Snare Agent and NXLog Agent serve similar use cases, NXLog Agent provides broader platform support, more advanced log processing, and greater flexibility in integration.

Imagine trying to buy tickets for your favorite band’s concert, only to find the website down just minutes before they sell out. Or logging into the cloud to look through your cherished digital photos and discovering they’ve been lost because of a data center failure. These scenarios are — at best — frustrating for you. But, for your customers, they can erode trust and damage your business’s reputation. That’s why organizations invest in strategies like high availability (HA) and fault tolerance (FT).

People think about logs as one of the biggest chores in the IT industry. Well, that does not necessarily need to be true. If you adhere to some fundamental log management best practices, the value you could get out of them quickly outweighs the effort put into managing them. Logs can easily become the best friend of IT teams looking to keep their systems secure, meet compliance requirements, and maintain a smoothly running network.

Logs play a critical role in IT infrastructure, and choosing the right log management solution is key to effective operations. This guide explores the core principles for selecting a solution that aligns with your log collection and management needs. Given the wide range of options available, we categorize them into three main groups for clarity. End-to-end Log Management Solutions Security Information & Event Management (SIEM) Application Performance Monitoring and Observability (APM)

One of the challenges that security-conscious Windows administrators face is collecting and centralizing Windows event logs. One of the obvious solutions that come to mind is the native Windows Event Forwarding (WEF) feature available on all modern Windows operating systems. WEF offers the convenience of forwarding Windows events to a central event collector without installing and managing agents. To objectively portray the role this valuable technology plays in the larger scope of enterprise log collection, we have written several articles that discuss it:

Data logging and event monitoring have become essential to provide security and performance monitoring of business operations. However, the vast volume of logs generated can lead to significant challenges, including high costs and inefficiencies. Many companies collect an excessive number of logs, often missing out on the most critical security-related events. The majority of these logs, known as log noise, offer little to no value to security analysts and can obstruct timely access to high-priority security events.

An excellent way to get started in a new technology area or refresh our knowledge is to devise a solution based on a small idea or need. This blog post covers such a situation, with a small personal project demonstrating how to use NXLog’s powerful features. I embarked on a small pet project centered around a cloud machine running Debian 10. It connects telemetry from my home, country house, and notebook.

In an increasingly digitalized world, protecting your business’s digital assets is becoming more urgent by the day. Realizing the need to protect data from malicious actors, researchers created encryption. And I am not talking about the Enigma here, but software-based encryption algorithms, with their public and private signing keys, and so on. Like every other technology, encryption methods have evolved throughout the years. However, the goal remained the same: encryption is there to secure our digital communications.

On February 26, 2024, the U.S. National Institute of Standards and Technology (NIST) officially released Cybersecurity Framework (CSF) 2.0. This release has had the most significant changes since its inception in 2014. Let’s quickly walk through the updates it brought and how log collection supports the functions of the renewed framework. What is NIST CSF The U.S. NIST Cybersecurity Framework is one of the most widely used security frameworks (with ISO27001, CIS, and others), helping organizations estimate, manage, and reduce their cybersecurity risks.

I always wondered what happens to our software when a company purchases it. Okay, I know they will install it and use it. But where do they install it? On what kind of machines? In what kind of environment? And why is it important for them to collect and handle logs? The possibilities are endless. We have customers worldwide; from shoemakers to telecom companies, NXLog is everywhere. But where are the most remarkable places NXLog Agent is employed?

European electric power system operators supply around 2800 TWh of electricity per year and manage around 10 million kilometers of power lines - more than ten round trips to the Moon. Such electric travel is impossible without electric substations, an essential component of a power grid. Its automation becomes ultimately digitalized, so requires proper monitoring both for operational and security purposes. Let’s take a look at how a unified log collection pipeline embeds into power automation systems and helps make sure the lights stay on.

Event logs are our breakfast, lunch, and dinner at NXLog. Before NXLog, I worked on an API that collected software usage logs. And before that, on a centralized log management application. Today, after a career of dealing with logs, I wondered, "How did our world come to rely so much on event logging?" I mean, in the vast landscape of technological progress, the history of event logging is only a minor subplot.

NXLog Enterprise Edition 5 has been with us for nearly four years. That’s four years of being an industry-leading log collection tool adored by engineering teams and Fortune 100 customers around the globe. And while the NXLog Enterprise Edition 5 story isn’t yet over, it needs to move forward to keep pace with modern technologies and new demands. Like any good muscle car, NXLog EE 5 has its limits, and so back in 2022 we came face-to-face with a problem - it required too much to change under the hood to stay modern and effective.

The U.S. Federal Trade Commission (FTC) approved amendments to its Safeguards Rule that require FTC-regulated non-banking financial institutions to report data breaches and other security events directly to the FTC. It was originally proposed to add a breach notification requirement back in late 2021. The rule requires financial institutions to report “notification events” to the FTC within 30 days of discovery of the notification event where the private information of 500+ consumers is involved.

It was late March 2021 when a phishing email was sent to a network administrator of TTEC Healthcare Solutions, Inc. (TTEC HS) - an integrated healthcare CX solutions provider - and a threat actor gained highly privileged access to the network. On September 12, 2021, a common ransomware scenario was triggered, with approximately 1,800 devices compromised via the access channel obtained almost 5 months earlier. Prior to executing the ransomware attack, the threat actor successfully exfiltrated data from the TTEC HS network, containing non-public information (NPI) of current and former employees of TTEC HS, and for individuals who were insured by one of TTEC HS’s clients, including, importantly, some New York residents.

If you are capturing Windows Event Logs on a large scale, you know that the more logs you collect, the more resources you need. Thus, the more expensive your SIEM becomes. The main issue is a large amount of the log data you are sending to your SIEM contains no valuable information. This means you waste a sizable portion of your cost on what the industry calls “log noise”.

Since the Wright brothers' first flight, the aviation industry has been advancing at an unprecedented rate. But it has always been a step behind other sectors in some areas, for safety and security reasons. Engineers are only allowed to apply well-matured technologies thoroughly trialed in different industries. Civil aviation, especially from the IT and IT security perspective, is a bit like Debian among the Linux operating systems. It does not always include all the latest inventions, but it aims to be safe and very stable in return.

The analysis of events produced by various systems and applications can offer insights into the infrastructure health and the operational resilience of an enterprise. From an Infosec perspective, the end-goals are: threat detection, forensics and remediation. However, we can’t query or analyse data that we haven’t collected in the first place! Before threat hunting and incident response are even possible, security events need to be collected from various sources, parsed, transformed, and then forwarded to data sinks such as security information and event managements (SIEM), security analytics platforms, cloud ecosystems and long term storage.

The U.S. Health Insurance Portability and Accountability Act (HIPAA) was introduced in 1996 to protect the privacy and security of health information. HIPAA’s Privacy, Security, and Breach Notification rules require healthcare providers and their partners to protect electronic protected health information (ePHI) through robust access controls, breach reporting, and documentation practices. A critical part of this compliance effort involves maintaining detailed audit logs that track who accessed, modified, or disclosed PHI, and retaining HIPAA logs for at least six years.

Understanding how NXLog Agent allocates memory is essential to optimize your configuration for performance and utilize system resources efficiently. NXLog Agent is designed for high-performance log collection and processing and is optimized to use system resources efficiently. However, various external factors affect how NXLog Agent uses system resources, including memory, which can impact NXLog Agent’s and its host’s performance. Misconfiguration is the leading factor we see when troubleshooting excessive memory consumption.

In Feb 2021, a major cybersecurity incident was declared when a hacker gained malicious access to the water treatment system of Oldsmar, Florida. Officials said the hacker tried to increase the level of sodium hydroxide in the city’s water supply, putting thousands at risk of being poisoned. Fortunately, it was quickly confirmed that this potential terroristic act did not come to fruition. Two years later, we still have no details on the malicious actor.

File access auditing is the process of tracking who reads, modifies, or deletes files on a system, providing a record of user activity for security and compliance purposes. On Windows systems, this is especially important for monitoring sensitive or business-critical files, such as financial records, HR data, or confidential customer information, where unauthorized access could result in a data breach or regulatory violation. In this post, I’ll show you how to enable file access auditing on Windows and use NXLog Agent to collect and forward file access events to help you protect sensitive data and meet compliance requirements.

The three characteristics your data must possess at all times, as dictated by your IT Security Policy, are: It must be confidential It must be available and It must not have any unauthorized modifications Your log policy will only be as good as the IT Security policy infrastructure behind it. And as much as we love talking about logs, that’s part of a more considerable general discussion about security policies.

PowerShell scripts can be used with NXLog for generating, processing, and forwarding logs, as well as for generating configuration content. In this article, we will take a look at how to execute PowerShell directly from NXLog. You can run a PowerShell script in multiple NXLog instances without using any PowerShell script file, and is achievable through having the script code directly in NXLog’s exec modules. This is ideal because if you need to make any change to the script, it’s easier to modify just the NXLog module rather than change the script on every computer used.

A multi-factor authentication (MFA) fatigue attack is a form of a social engineering cyberattack strategy where attackers repeatedly try to make second-factor authentication requests to the target’s email, phone, or other registered devices to gain access to the system. You may also hear about MFA Fatigue attack as MFA Bombing, 2FA fatigue, MFA push spam, MFA Spamming, or prompt bombing. Technology administrators are always playing a never-ending battle of cat and mouse when it comes to threat actors.

Log collection is essential to managing an IT department because it allows administrators to research historical events throughout a network. Therefore, it’s critical to understand a few key points about collecting logs; the why, and what. We’ll look at a few specific examples of collecting log events efficiently, like incorporating threat modeling to enhance our collection. Implementing log collection policies and procedures is as fun as watching anti-phishing videos. But at the end of the day, the effort put in at the beginning will be worth it.

The global Security Information and Event Management (SIEM) market is big business. In 2022, it was valued at $5.2 billion, with analysts projecting that it will reach $8.5 billion dollars within five years. It’s a highly consolidated market dominated by a few major players in the information security field. They want your business, and they don’t want to lose it. As companies ship more and more data to their respective solutions and make use of more and more features, they become specialized and dependent on a vendor.

There are several reasons you might want to start a particular NXLog module with a delay. You can think of it like delaying the start of a Windows service. In most cases, you need to do this for performance reasons. But there might be other scenarios where you would want to do this, such as collecting logs during a specific time frame. If you have, for example, a less critical module block, you can prioritize the more important one by delaying the less important one.

This post is the first in a series of answers to questions that our customers asked. Clarifying EPS EPS stands for Events Per Second and is considered a standard for measuring the speed of event processing. More precisely, it tells how many events can flow through a particular system in a second. In our case, the number relates to how many events NXLog receives, handles, and outputs in one second.

NXLog Agent supports filtering, enriching, and forwarding logs directly to Splunk Enterprise for further analysis. If you landed on this blog post, you are likely looking for a new log collection solution or seeking to improve an existing Splunk deployment. If so, we hope this article provides you with the information you need to take the next step toward a better log collection strategy. NXLog Agent and Splunk Universal Forwarder feature comparison Several log collection agents are available on the market, and Splunk Universal Forwarder is one of them.

With open war in Europe for the first time since 1945, nations across the continent have been busy shoring up their information security defenses. The European Union is stepping up to the plate, releasing a Cyber Defence Policy to, in its words, "boost EU cyber defence capabilities and strengthen coordination and cooperation between the military and civilian cyber communities." However, bolstering cyber defenses across a collection of countries, home to 450 million people and spanning four million square kilometers, is no easy feat.

So, it happened again. You got an internal audit finding or a regulatory notice. Or you just had a nagging feeling and found customer data somewhere it shouldn’t have been. Morale sinks. Are you forced to choose between serving your customers and addressing compliance weaknesses? Nobody said IT Compliance was easy. But don’t sign up to do any more work than is necessary. Use Frameworks to identify the activities, like logging, that demonstrate compliance for multiple domains and get the absolute best coverage without extra work.

The Windows DNS debug log contains valuable information on DNS queries and activity that is especially useful for monitoring and analyzing malicious traffic. This requires some configuration changes for the DNS service in order to enable debug logging. Here is a short description on how to enable debug logging for the DNS service on windows, this also applies to Windows Server 2008 and later. It is possible to specify the file and path name of the DNS debug log file as well as the maximum size of the file.

Logs are a record of the internal workings of a system. Nowadays, organizations can have hundreds and, more regularly, thousands of managed computers, servers, mobile devices, and applications; even refrigerators are generating logs in this Internet of Things era. The result is the production of terabytes of log data—​event logs, network flow logs, and application logs, to name a few—​that must be carefully sorted, analyzed, and stored. Without a log management tool, you would need to manually search through many directories of log files on each system to access and extract meaning from these millions of event logs.

Compliance mandates are frameworks that organizations must implement to meet industry regulations. Some of these mandates provide guidelines and best practices, while others may be tied to legislation. With the constant and rapid changes in technology, ensuring that your organization adheres to the relevant regulations is an ongoing process. So why should you comply? Simply put, not complying might cost you more than implementing processes to meet regulatory requirements. By not complying, you might be violating the law, and in case of a data breach, you may face litigation from affected parties.

When considering your log collection strategy, a decision you have to make is which transport protocol to use to transfer logs from source to destination. The choice is often between the two most commonly used protocols, UDP (User Datagram Protocol) and TCP (Transfer Control Protocol). Which one to use depends on the type of logs you need to transfer, and whether performance or reliability is more important. This blog post will compare these protocols, discuss why TCP is usually the preferred choice, and provide some options to further increase log delivery reliability with NXLog.

How does NXLog compare to the IBM QRadar WinCollect event forwarder? IBM QRadar SIEM collects, processes, and aggregates log data to provide real-time monitoring and automated response to network threats. With its powerful correlation engine and specialized modules for risk and vulnerability management, it is no surprise that it is among the highest-rated tools on Gartner Peer Insights. To get the best out of a platform like IBM QRadar, you need to ensure that you send the proper amount of data in a format that it can process efficiently.

If you’re a cyber security enthusiast, you’ve probably heard a lot about Windows Management Instrumentation (WMI) lately. There’s a good reason why this topic has gained popularity, however, this technology has been integrated into Windows operating systems for over 20 years now. In this blog post, we will delve into how WMI works, the risks resulting from misuse, and how to audit it with NXLog. A standardization effort The first thing to clarify about WMI is that it’s not a Windows-only technology.

The value of log aggregation There is no denying the importance of log aggregation for multi-million-dollar enterprises worldwide. But just what is log aggregation? And how can it help your organization? Well, log aggregation is the process of standardizing and consolidating your log data from distributed systems across your network into one centralized server. By doing so, you have a unified view of what occurs across your entire IT infrastructure.

Features of NXLog Enterprise Edition you must have So, it turns out that your organization needs a reliable solution that can collect, parse, forward, and aggregate your log data. This need might be based on any number of reasons. Perhaps it is due to regulatory compliance mandates. Maybe your security analysts have realized that collecting security logs is the best way to detect potential cyber attacks. These are all valid reasons.

In this post, we will look at how to use Raijin Database Engine as a backend in a centralized logging environment for collecting and aggregating Windows security events. We will also show you how to integrate Raijin with an open source data exploration tool. Finally, you will see how you can track suspicious network activity and identify specific types of intrusion on Windows hosts using these tools. A low-cost, lean and mean data discovery solution Although the combination of tools we present here cannot compete with a full-fledged SIEM solution, they do offer quite a few advantages for security analysts who need a responsive, highly customizable data discovery solution that accepts ad hoc SQL.

So, you managed to read through all the compliance mandates that are required for the industry you are in. And, during the mandatory consultation you had with your company’s IT security expert and network manager you came to an agreement on which logs to collect and carefully selected their final destination. Which — in most cases — is usually some kind of analytics system or SIEM technology where log data can be analyzed and stored based on your business requirements.

Unquestionably, Microsoft Windows is the number one desktop operating system in the world, as well as having a significant share of the server operating system market. Multi-million-dollar organizations rely heavily on Windows Server and Active Directory to provide a safe, secure networked environment for their business operations. Such an enterprise infrastructure alone can generate thousands of events per second that range anywhere from benign user authentication events to logs indicating a severe software failure, or even more serious events such as DoS attacks or intrusion attempts.

Modbus is a simple and flexible protocol used by a wide variety of industrial and automation equipment. Its simplicity has made it attractive for many manufacturers, but it also poses a number of challenges in terms of security and traffic analysis. In this post, we’ll show you how to use NXLog to capture, process, and extract useful security information from Modbus traffic. What makes Modbus traffic analysis challenging? Modbus is a low-level protocol that effectively uses only two data types: bits (in the form of coils), and 16-bit words (in the form of registers), which are also the only form of data that can be natively addressed with most devices.

Windows Event Forwarding (WEF) is a service available on Microsoft Windows platforms which enables the forwarding of events from Windows Event Log to a central Windows Event Collector. Since the technology is built into the operating system, this means you can centralize log collection without having to install third party software on each Windows node. You can also use Group Policy for configuring clients to forward their events. This approach not only standardizes client management but also streamlines it.

IT security should be one of the main focus points of all enterprises. In today’s world, when digital transformation is taking place at an unprecedented pace, securing online data is vital for all kinds of businesses. This is why most companies are utilizing SIEM (Security Information and Event Management) solutions that help them identify threats before they can do any harm. Even though SIEM tools are perfect for event correlation and analytics, it is not part of their core functionality to manage log collection, filtering, distribution, and formatting.

One of the harder decisions revolve around implementing agent-based vs agentless log collection. This post covers the two methods - their advantages and disadvantages - and provides some quick and actionable implementation notes. Why does log collection agent choice matter? When deploying a log collection strategy, administrators usually tend to zone in on already selected solutions that answers fundamental questions, such as "Will this solution collect and ship these types of log sources?

Windows Event Forwarding (WEF) provides log centralization capabilities that are natively supported in Windows-based systems. It is straightforward to set up since it is already built into Windows, and only a few pre-requisites are required, such as having a dedicated event server with a group policy object (GPO). Despite its ease of use and native support, WEF has some limitations. This post covers the advantages of using Windows Event Forwarding for centralized log collection, followed by limitations of WEF and its subsequent solutions.