Table of Contents
Introduction
In today’s Data-Driven world, Enterprises are constantly generating petabytes of Data. Around 30-40% of Data is Unstructured Data, which might be Log Data and Customer Feedback Data. NLP-Driven or No-Code Log Analytics platform might sound technical and complex but fear not – in this blog post, we’re going to break it down Log Analytics in Plain English, without any tech jargon.
So, What are Logs?
Logs are like digital diaries or records that computers or software systems keep collecting. They collect everything that happens within these systems. These Logs contain valuable information about what the software is doing, any issues it might be facing, and even security-related concerns.
Now, let’s imagine you run an e-commerce store. Your website generates Logs every time someone visits, adds an item to their cart or wishlist, or buys something. These Logs capture crucial Data, such as who the customer is, what they bought, and when they did it.
Understanding this Data can help you improve your website’s and business performance, make better business decisions, and enhance the customer experience.
Now, Why do we need to Analyze Logs?
Log Data, as mentioned earlier are very important information. But without proper Analysis, it’s like having a locked box – you know it’s there, but you can’t make a decision out of it and take the benefits. Here’s why Log Analytics is very crucial:
Problem Solving:
Logs can show the issues and errors in your systems. By analyzing them, you can identify and fix those problems accordingly, minimizing downtime and maintaining a pretty smooth user experience.
Performance Optimization:
Logs provide insights into how your system or website is performing. You can kill the bottlenecks, resource issues, or areas that need improvements, ensuring your business runs efficiently.
Business Intelligence:
Log Analytics also offers valuable insights into customer behavior and sales/marketing and whatnot, helping you make Data-Driven Decisions to improve products or services and boost the profitability of the organization.
What are No-Code Log Analytics Tools?
Now that you know what Logs are and why analyzing them is crucial, you might wonder how to make sense of all this Log Data. That’s where Log Analytics Tools come into play.
No-Code Log Analytics tools are like skilled detectives, capable enough to Analyze massive amounts of Log Data to create insights out of it. They provide user-friendly interfaces that allow anyone regardless of their technical background to explore and understand Log Data in Real-time just in Plain English.
AI-Generative Log Analytics Tool: Log Quester
NewFangled has introduced Log Quester, which is a No-Code Log Analytics tool designed to simplify the process of Log Analysis for Non-Technicals.
Log Quester is a game-changer in the world of Log Analytics. Here’s why it’s worth your Organization’s need Log Quester:
No Technical Expertise Required
Log Quester is designed with AI/ML. Now you don’t need to be a technical guru to use Analyze Log Data. It empowers Admin, Developers, and DevOps with Conversational capabilities for their Logs.
AI-Driven Insights
Log Quester leverages the power of artificial intelligence and its Conversational feature enables Businesses to deep dive into their Log Files. It also has AI-enabled Dashboards where Businesses can create any Dashboards for Log Data without coding or design hassles. It saves you time and effort by doing the heavy lifting for you.
Scalability
Log Quester’s unified Platform stores all types of Logs like System Logs, Application Logs, SYS Logs, API Logs, and DB Logs in one place and the platform can be Linearly Scaled for Petabytes of Logs over Commodity Hardware. It’s flexible and adaptable, making it suitable for businesses of all sizes.
Real-time Monitoring
Log Quester provides a Real-Time Log Monitoring capability, allowing you to stay on top of your system’s health and security. You can set up alerts to be notified of critical events as they happen.
No-Code Platform Log Quester enables Organizations to create the Streaming Data Pipeline within an hour for moving Logs to the Centralized Logging Warehouse. This next-gen Architecture empowers Organizations to take action for any fault or error in Real-Time.
How Log Quester Works?
Using Log Quester is as easy as 1-2-3, Go:
Data Collection
Log Quester can collect Log Data or Files from various sources, such as servers, applications, and cloud platforms. You just need to configure it to Ingest Data from your preferred sources.
Analysis
Once the Data is collected, Log Quester’s Gen-AI feature gets to work. It automatically analyzes the Logs, identifying patterns, outliers, and potential issues.
Visualization
The tool presents the results of the analysis in a user-friendly interface. You can explore the Data through interactive Charts, Graphs, and Reports, gaining insights that can drive your business forward to generate new avenues.
Conclusion
Log Analytics plays a crucial role in ensuring the smooth operation of systems, maintaining security, and making informed Data-Driven Decisions. But you don’t need to be a technical expert to Harness the Power of Log Data.
Tools like Log Quester from NewFangled make Log Analytics accessible to everyone within an Organization.
So, whether you’re running a small online store or managing a large enterprise, consider integrating Log Quester into your system. It’s the key to unlocking the valuable insights hidden within your Log Data, which can be done in Plain English, without any tech jargon.
Apoorva is a passionate and driven individual who accidentally found her interest in Business Intelligence and Data Analysis while studying Travel and Tourism. Despite her first love for being Content Writer and Blogger, she now creates compelling content on NLP-driven decision-making and a No-Code Data Platform that influences businesses. Her commitment to making Data accessible and Democratized for everyone has led her to work with NewFangled Vision on NLP-based Conversational Driven Data Analysis.