Monitoring Windows event and activity Logs is one of the most important aspects of Windows log management. Windows Event Logs contain all the crucial information about system health, security events, application and errors which helps in gaining insight into your operating system.

Rust has claimed the title of ‘most desired programming language’ for the past 8 years in a row in StackOverflow’s annual developer survey. The language was created less than 20 years ago, yet when users work with Rust, they always seem to want to work with it again. This consistent growth in popularity has, in part, driven the need for effective monitoring practices, particularly Rust tracing.

When telemetry data (collected from system sources in observability) is analyzed collectively it provides insights into the relationships and dependencies within a distributed system. OpenTelemetry standardizes the collection and transmission of telemetry data to backend platforms, closing visibility gaps by offering a unified instrumentation format across all services.

Monitoring Apache logs is crucial to ensure the health, security, and performance of web servers running the Apache HTTP Server software. Analyzing these logs continuously will, in turn, provide invaluable insight into web server activities related to web traffic patterns, user behavior, server errors, potential security threats, and performance metrics.

Zabbix is an open-source monitoring solution designed for real-time monitoring and management of IT infrastructure, including networks, servers, virtual machines, and cloud services. Whilst Zabbix is a powerful monitoring tool that can be utilized for a range of use cases, the solution is primarily used for network monitoring.

If you use the programming language C# there’s a chance that you’re already familiar with.NET (pronounced ‘dot net’), an open-source application platform supported by Microsoft. C# is the programming language for.NET but the platform can run programs written in multiple languages. Microsoft’s ambition with.NET is to offer developers one platform to solve any problem.

Debugging Python code is crucial for guaranteeing the uptime and performance of your application, and logging in Python is a great solution to streamline your debugging workflow. Python, a general-purpose programming language, includes a logging module in its standard library, offering a flexible framework for generating log messages from Python programs.

Filebeat is a straightforward log shipper that enables you to begin logging, rapidly. With observability solutions like Logit.io, this can be achieved in as little as 5 minutes, following our integration guide. To understand more about using Filebeat with Logit.io, this article will define what it is, how it works, and how to integrate Filebeat with Logit.io to ship logs from local files to one or more destinations.

Node.js is an open-source runtime environment, frequently used for backend development, and enables developers to build scalable, high-performance apps that can easily handle a vast amount of simultaneous connections. The solution is suitable for network applications scalable for real-time web apps, RESTful APIs, microservices, and chat apps.

Java is a popular programming language, developed almost 30 years ago by Sun Microsystems, based on the main theory of ‘write once, run anywhere’ (WORA). Due to Java having been around for a long time, numerous learning resources are available for new developers which further adds to its popularity. Also, Java code can operate on any underlying platform like Windows, Linux, iOS, or Android without rewriting.

Linux is an open-source operating system kernel originally created in 1991. It has a reputation for being versatile, stable, and secure, hence its wide use on computing devices, beginning from servers and mainframes down to desktop computers, smartphones, and embedded devices. The broad uses for Linux and its popularity have led to the demand for effective monitoring.

Logstash serves as a real-time event processing engine within the OpenSearch ecosystem, which comprises OpenSearch, Beats, and OpenSearch Dashboards. Logstash acts as a centralized pipeline that collects data from numerous sources before forwarding it to OpenSearch.

Developed in the mid-1990s, Ruby is a dynamic, open-source programming language. The tool has grown in popularity from its initial release, having been used in modern systems covering a variety of corporate and academic use cases. Ruby gained further traction after the release of Ruby on Rails, a powerful web application framework written in pure Ruby.

Docker is a popular platform that enables developers to package, distribute, and run applications within isolated environments called containers. Logs play an important role in the use of Docker for numerous reasons. For example, The running of Docker containers in isolation makes it difficult to handle troubleshooting issues and monitor application behavior effectively in the absence of detailed logging.

Designed in the early 1990s Python was built to emphasize code readability and on the principle that there should be one way to do things. Python is one of the most popular programming languages and is utilized for a range of purposes including machine learning, web applications, and data analysis.

System logging protocol, abbreviated as Syslog, is a standard protocol used for message logging. Put simply, it is a standard for collecting and storing log information. A Syslog server collects, parses, stores, examines, and dispatches log messages from devices including routers, switches, firewalls, Linux/Unix hosts, and Windows machines.

With the continual rise of website applications and cloud-based microservices effective API monitoring has become crucial. APIs outline the methods and data formats that applications can utilize to request and exchange information. They allow developers to access the functionality of a software component or service without needing to comprehend its internal workings.

Serilog offers users a streamlined logging framework for.NET applications and cloud services. The tool enables users to adjust logging levels, enrich log events with additional properties, and switch between different sinks without modifying the application code. The simplicity of Serilog, its support of structured logging, and compatibility with asynchronous applications and systems are a selection of the tool's features that have led to it being commonly used across a variety of organizations.