In the ever-evolving landscape of data integration and architecture, organizations grapple with many challenges, from controlling exponentially growing observability data to the complexities driven by hybrid clouds, data migrations, integration of new AI/ML services, and the need for swift time-to-market strategies.
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In this article, we are going to have a quick introduction to Logstash, a very popular application for collecting, processing and filtering log data – and see how it works. We will review plugins, installation and configuration of Logstash, we will briefly mention Beats, and also compare Logstash to other log collectors and review Logstash alternatives.
The days of logging as a mere troubleshooting mechanism are past gone. Nowadays, log management is a must. In today’s post, we’ll present you with a list of 11 log management solutions worth checking out. Let’s dig in. The first tool in our list is Splunk, which is a comprehensive utility very well-known by sysadmins. It’s available as a downloadable tool for Linux, Windows, and macOS X. A cloud version also exists, as well as a free version with limited capabilities.
What do you think is the most important aspect of a company? Performance? Perhaps you’re thinking of profits. True, performance and profits are crucial. But security tops the list. Every company caters to different users regularly. But does the necessity of security change whether the user base is narrow or wide? Users have access to a lot of information, and often, this leads to the risk of unauthorized access and data breach.
All you telecom engineers out there must have already heard of fault management, right? Well, those of you who haven’t yet heard of it and need to understand what it’s about, worry no more! I’ll help you. Let’s start by defining the term.
Logging is vital to the success of any IT project. With solid logging practice, you can troubleshoot errors, find patterns, calculate statistics, and communicate information easily. With the size and complexity of modern systems, performing these actions involves various analysis activities. One of these important analysis activities is anomaly detection. What is anomaly detection, and where does it fit in all of this? That’s what this post is about.
Let’s start with a simple picture and a question. You are involved in the day-to-day running of a complex and hybrid cloud of IT systems and applications. These systems, technologies, applications, processes and other platforms perform a number of critical business functions.
For those out there searching for “What is syslog?,” this post has answers to all of your questions. Simply put, syslog handles a very important task—collecting events—and is present in almost all systems and peripherals out there. It’s the standard used to collect events in an ever-growing number of devices. Syslog can often be related to Ubuntu and servers, but it’s certainly much more than that.
All you telecom engineers out there must have already heard of fault management, right? Well, those of you who haven’t yet heard of it and need to understand what it’s about, worry no more! I’ll help you. Let’s start by defining the term.
