Log visualization tools

Products Network Management. Systems Management. Database Management. IT Security. IT Service Management. Application Management.

All Products. View All Network Management Products. Unify log management and infrastructure performance with SolarWinds Log Analyzer. View All Systems Management Products. Easy-to-use system and application change monitoring with Server Configuration Monitor. View All Database Management Products. Monitor your cloud-native Azure SQL databases with a cloud-native monitoring solution.

Web Help Desk Basic On-Premises ticketing software to help manage tickets from request to resolution. AppOptics SaaS-based infrastructure and application performance monitoring, tracing, and custom metrics for hybrid and cloud-custom applications. Loggly Fast and powerful hosted aggregation, analytics and visualization of terabytes of machine data across hybrid applications, cloud applications, and infrastructure. Papertrail Real-time live tailing, searching, and troubleshooting for cloud applications and environments.

Pingdom Real user, and synthetic monitoring of web applications from outside the firewall. Web Performance Monitor Web application performance monitoring from inside the firewall. View All Application Management Products. Remote Monitoring. Humans can identify nearly 7,, different colors , and data visualization techniques make use of this feature. You also have the option to use different shapes and sizes to distinguish trends and facilitate decision making.

Basically, data visualization techniques use our inherent nature to look for outliers and hidden trends in data, even subconsciously. Interactive data visualization tools help you visualize a huge amount of data by transforming numbers into diagrams within minutes. Since humans interpret and understand diagrams better than numbers, these tools are externally useful.

So how do you use these tools? You can choose from a lot of options, depending on your business requirements and objectives. For example, the monthly sale of the commodity X as the particular financial year progresses. Bar Charts are a simple way to take data sources and depict quantitative data in a differentiable manner. With Pie Charts, you break down data into portions of a pie. Venn diagrams demonstrate the possible type of relationships between 2 or more datasets.

It helps in assessing data and displaying how it correlates to one another. Basically, Venn diagrams help depict the commonalities between two data sources. Gantt charts are essential in the course of any business, be it B2B or B2C. It demonstrates the different stages of the advancement of a project and sheds insight on the rate of completion of projects on deadlines. Source: teamgantt. This chart depicts the time it takes for a business to complete different phases of its operations.

Make sure to check your data visualization tool to see if they have Gantt charts, or opt for a Gantt chart maker for your projects. If you want to study the trends of a dataset over time and notice crests and troughs, line charts can be helpful.

They are mostly popular for financial studies and stock markets. One of the best ways to judge a visualization tool is by analyzing how efficient and user-friendly the dashboard is. For example, some business intelligence tools offer advanced charts like treemaps, vector graphics, and custom reports via JavaScript and JSON which require a steeper learning curve.

It presents charts, bar diagrams, infographics, timelines, and more in a single frame, facilitating actionable insights and fast decision making. Every business is different, and needs will vary, but some of the features needed are similar across industries. You need Big data to drive real business insights. After this, you need to embed those derived insights into your web pages or any social media channel to demonstrate everything to your target audience adequately.

When embedded seamlessly into business software, these tools can facilitate easy, actionable, real-time decision making that will ultimately benefit the business. The right tools can make the process of sharing and embedding the reports easy and straightforward.

Real-time decision making necessitates real-time inter-team and intra-team collaboration in any business. It helps draw conclusions that each team member can access instantly, offers better visibility, and keeps everyone on the same page.

The motive of any business is sustainability and profitability. You can achieve it only if you continue to grow and scale up your business. Your business may be small today, but the tool you use needs to be able to scale-up and meet the growing demands of your business.

AI is the next big step in technology. It can facilitate easier data analysis and can help predict trends and prescribe necessary changes. Therefore, integration with AI in your visualization tool can prepare your business for the future. Apart from these, some of the other features you should look for include customer service, streaming data support, interactive exploration, dynamic infrastructure, and more.

Used by over , developers across 28, companies, FusionCharts is one of the best in the market right now. However, there are still a few warning, error, and fatal logs, all of which warrant further investigation:.

We can click on the popularity-contest spike and use the Show Logs button to view log entries originating from the service:. The solution to this problem was to disable the popularity-contest service. This resulted in slightly faster startup times, less network traffic, and lower log volumes. In addition to detecting unusual behavior, we can use visualization tools to track application performance metrics including response times, response sizes, and request volumes.

It would be useful for your logging graphing engine to calculate and chart statistics for these metrics including averages, minimum and maximum values, sums, differences, and percentiles. For example, our web application logs the size of each response in bytes. After the restart, the average response size started off significantly higher than usual.

Shortly after, the response size fell to a low and steady average:. Using percentiles, we can track metrics that fall far outside of the average, such as unusually large responses. As with other charts, we can drill-down into each data point to see the relevant log messages. As it turns out, the large responses were caused by users having to re-cache an asset-heavy page after the application was restarted.

Once users stopped caching this page, the extremes fell to within 2—3 KB of the average. We can mitigate this by reducing the size of the page, updating the web server caching configuration, or by placing the server behind a content delivery network. Visualizing your log data is an important step in understanding your infrastructure. While this post doesn't cover every possible use case, it does show how you can start extracting valuable insights from your logs in a matter of minutes.

To get started, sign in to your LogDNA account and open the graphs tab, or sign up for a free trial account. If you want to learn more about LogDNA's graphing tools, you can read our announcement on the latest version or view the documentation. Announcing beta access to Log Data Restoration. It helps take a proactive approach to ensure security, compliance, and troubleshooting.

The company offers only paid plans but you get to test it with a day free trial. EventLog Analyzer is a log management solution that has the basic functionalities of a SIEM product but it features impressive log analysis capabilities as well.

Easy to set up and use. EventLog Analyzer can collect, parse, and analyze event logs from all the devices in your network from database platforms, routers, and firewalls to hypervisors, Linux and Unix systems, Endpoint Security Solutions, and so on. Some of its other features include real-time alerting and event correlation, file integrity monitoring, and privileged user monitoring, to help you detect and avoid server errors and attacks.

You can instantly generate various reports, including user activity reports and historical data trends. EventLog Analyzer offers only paid options, but you can get a day free trial to try it out. Pricing is available upon request. Primarily a cloud-hosted log management software, Papertrail includes great features for efficient log analysis.

Easy to use, Papertrail features a live tail search to help detect issues faster and trace back the chain of events to identify the root cause immediately. Filter log events by source, date or time,. You can then chart or graph them using third-party integrations to quickly spot trends and patterns.

LogDNA is a log management service available both in the cloud and on-premises that you can use to monitor and analyze log files in real-time. You can search, save, tail, and store data from any app or system, including AWS, Heroku, Elastic, Python, Linux, Windows, or Docker , being able to handle one million log events per second.

It features real-time searching, filter, and debugging capabilities and a robust algorithm to help connect issues with their root cause. LogDNA offers a free version and multiple paid options , as well as a day free trial. Datadog is another log analysis software you can use to record, search, filter, and analyze logs from all your devices and applications in real time.

Datadog has rich and sophisticated log analytics dashboards that you can further customize by drag-and-drop. It allows you to correlate logs, metrics, and request traces to get a clear view of your systems and easily spot performance trends over time.

The solution features smart alerting that uses machine learning to identify abnormal log patterns and errors faster. You can try it free of charge for 14 days. Logstash is one of the most popular log collection and processing engine for log data and events.

It collects and parses logs from various sources across your infrastructure and sends them to your preferred destination.