Syslog dashboards

Syslog Data

Syslog is a widely used standard protocol for logging system events, errors, and other messages in computer systems. Syslog data can be incredibly valuable for detecting security breaches, identifying system errors, and tracking down performance issues. However, working with syslog data can be challenging, especially when dealing with large amounts of data. In this blog article, we'll explore the two main ways to work with syslog data: parsing the data and working with the raw data.

syslog man

Parsing the syslog data

One way to work with syslog data is to parse it and create dashboards with real-time analytics. Parsing the data involves breaking it down into its constituent parts, such as the timestamp, source IP address, message type, and severity level. This parsed data can then be stored in a database, and visualized in dashboards using tools like Viewtinet.

The benefits of parsing syslog data include:

  1. Real-time analytics: Dashboards can be created that provide real-time insights into system performance, security breaches, and other critical events.

  2. Better searchability: Parsed data can be easily searched and filtered, making it easier to identify specific events or patterns in the data.

  3. Reduced storage costs: Parsing data can often result in a smaller data footprint, which can help reduce storage costs.

Syslog dashboards

Working with syslog raw data

Another way to work with syslog data is to work with the raw data. In this case, the analytics tool needs to understand the different available values per log. Raw data is the unprocessed data that comes directly from the syslog source, without any parsing or manipulation.

The benefits of working with raw syslog data include:

  1. More flexibility: Raw data can be transformed and analyzed in a variety of ways, depending on the needs of the organization. This flexibility allows for more customized analytics and reporting.

  2. Deeper insights: Working with raw data allows for deeper insights into system performance, security breaches, and other critical events. This is because raw data can provide more detailed information than parsed data.

  3. More comprehensive coverage: Working with raw data can help organizations capture and analyze all available data, rather than just a subset of parsed data.

Raw syslog data

Which approach is best for syslog?

Deciding which approach to use depends on the needs of the organization. If real-time analytics and reduced storage costs are important, then parsing the data may be the best option. On the other hand, if flexibility and deep insights are more important, then working with the raw data may be the better choice.

Ultimately, it's important to have a solid understanding of the organization's needs and goals when working with syslog. By doing so, organizations can make more informed decisions about how to best work with their syslog data and achieve their desired outcomes.


Despite this, there may be some environments where the amount and complexity of data are so vast that the query response time may be too long. For these cases, the index logging will solve any performance issue. As a result of the indexing, you might not be able to drill down or follow different post-analysis troubleshooting. Nevertheless, if you already set the parameters that you want to analyze and correlate, index logging is the best method to get real-time results.

Using Viewtinet for syslog

The vision of Viewtinet has always been to create a flexible platform suitable for several and different use cases. Having said that, why limiting to one method when you can have both at the same time?

Viewtinet proposes an end-to-end solution. It is capable of integrating the data, store it and provide full analytics and observability. Thanks to the visual smart data broker, Viewtinet can integrate and parse syslog data from any vendor.

However, depending on the vendor and type of syslog data, or even if the company needs to keep the raw syslog data for regulatory reasons, Viewtinet can also work in this format. It has an intelligent layer to identify the different keys and we can select a key to identifiy the logs that content that key, and then filter by the available values.

Viewtinet chosen as a 2021 Top 100 Startup Winner

As 2021 comes to an end, it is time to look backward and analyze the year earns. We all started the year with optimism after the unusual previous 2020 but with a lot of doubts about how the pandemic was going to behave. We gave total freedom to work from home and we preferred to avoid face-to-face meetings and travels. This could be a handicap for a startup but the conclusion is that we have to be very proud of our team. The product improvements have been outstanding and the amount and size of companies that are trusting Viewtinet’s team and technology are increasing.

All this effort and work has had a very nice surprise before the year ends: Red Herring has chosen Viewtinet as a 2021 Top 100 winner in Europe.

Press Release

December 16th, 2021; - After much consideration, the Red Herring judging panel has announced its Top 100 Europe winners this evening, recognizing Europe’s leading private companies and celebrating these startups’ innovations and technologies across their respective industries.

Red Herring Top 100 Europe enlists outstanding entrepreneurs and promising companies. It selects the award winners from approximately 1,200 privately financed companies each year in the European Region. Since 1996, Red Herring has kept tabs on these up-and-comers. Red Herring’s Top 100 list has become a mark of distinction for identifying promising new companies and entrepreneurs. Red Herring’s editors were among the first to recognize that companies such as Alibaba, Facebook, Google,, Skype, SuperCell, Spotify, Twitter, and YouTube would change the way we live and work. Thousands of the most interesting and innovative companies have graced the Top 100 list over the years.

“In 2021, selecting the top achievers was by no means a small feat,” said Alex Vieux, publisher and CEO of Red Herring. “In fact, we had the toughest time in years because so many entrepreneurs had crossed significant milestones so early in the European tech ecosystem. But after much thought, rigorous contemplation and discussion, we narrowed our list down from hundreds of candidates from across Europe to the Top 100 Winners. We believe Viewtinet embodies the vision, drive and innovation that define a successful entrepreneurial venture. Viewtinet should be proud of its accomplishment, as the competition was very strong.”

Red Herring’s editorial staff evaluated the companies on both quantitative and qualitative criteria, such as financial performance, technological innovation, management quality, overall business strategy and market penetration. This assessment was complemented by a review of the track records and standings of similar startups in the same verticals, allowing Red Herring to see past the “hype” and make the list a valuable instrument of discovery and advocacy for the most promising new business models in Europe.

Following Viewtinet’s well-deserved win, they are then invited to showcase their company to the US market at the Top 100 North America event and compete internationally for the Top 100 Global in October. Red Herring is dedicated to following Viewtinet’s path to further success and innovation.


Index logging versus index-free logging

When searching for a log management solution, some providers are claiming the advantages of index logging, and others claiming the advantages of index-free logging. Which one is the best? In my opinion, it depends on different factors. In this article, I will try to bring some light to this.  

Index logging

With this method, the data is being processed upfront. It creates different tables that combine different indexing options. As a result, when querying the database, the result will appear instantly. Moreover, even when managing a vast amount of data, the index-logging leads to instant query results. Certainly, this method will induce a high-speed response. However, we must take into consideration that this upfront processing needs more CPU & RAM from the server. In addition, the servers need more disk space because of the tables created by the indexing. Also, you need to define upfront the searchable elements and/or correlations.

Index-free logging

In contrast, with index-free logging, the data is stored as a table on the fly. The ingestion process is quicker and does not consume additional CPU, RAM, or disk space. Furthermore, there are several mechanisms to speed up the queries results: containers, data compression & data aggregation. On the whole, thanks to the current state of the art, this method can provide real-time responses to heavy queries. Undoubtedly, the results will not appear at the same speed as index logging, but still, it seems likely that this experience is enough in most cases. Moreover, everything is searchable.


I’d say that depending on the use cases, the complexity of the data sets, and their sizes, the optimal approach could be one or the other. Evidently, index-free logging is less costly in terms of hardware. Not only it can ingest data faster with fewer resources but also unindexed tables can provide deeper analytics procedures. What I mean is that when you are investigating an issue, with unindexed tables you can drill down by any of the available dimensions.  So, if you are analyzing stored data, it seems like the best approach. Despite this, there may be some environments where the amount and complexity of data are so vast that the query response time may be too long. For these cases, the index logging will solve any performance issue. As a result of the indexing, you might not be able to drill down or follow different post-analysis troubleshooting. Nevertheless, if you already set the parameters that you want to analyze and correlate, index logging is the best method to get real-time results.

The Viewtinet approach

The vision of Viewtinet has always been to create a flexible platform suitable for several and different use cases. Having said that, why limiting to one logging method when you can have both? The Viewtinet style is to be easy to use and intuitive. Viewtinet has already integrations with most of the IT data sources in the market. The templates in the Visual Smart Data Broker have already taken into consideration the optimal logging method. So from the user experience, Viewtinet is already providing the most efficient configuration. With new or custom data sources, what Viewtinet does by default is index-free logging. This way, the system administrators can benefit from having all the data stored, to create any report, dashboard, and to drill down. After that, in case a report or several reports appear with some delay, with the visual interface, you can click the indexing option to switch from index-free logging to index-logging. This way, you may not know upfront how you are going to analyze the data. You will have all the possibilities. Then, once you design your dashboard you can optimize the performance by indexing specific reports if needed.
QoS Traffic Shaping IT Analytics

Viewtinet launches VN-1000-Smart Analytics & Control

I believe that it is difficult today to find the best vendor that matches the specific IT needs of an organization. There are several specialized vendors in each of the segments, but of course, the budget is never unlimited.  Certainly, one IT manager always wants to get the most recommended and best-positioned supplier to be backed up. However, the reality is that usually these technologies take advantage of their position and are far away from the budget.


At Viewtinet, we were thinking about the best way to help the companies with the different technologies that we provide, and how we could provide different solutions pretty much demanded. As a result, we developed the idea of providing most of our modules running together under the same appliance. This is how Viewtinet provides a packed IT observability and control platform, easy to deploy and with lower TCO.

QoS Traffic Shaping IT Analytics

Multiple functionalities, one single appliance


Viewtinet provides a very unique architecture. Its Smart Analytics tool, together with the smart data broker, provides a single interface for the entire Viewtinet ecosystem. As it happens, from the same GUI we will be able to manage all the log data, wire data, and to provide traffic control and optimization. Not only it is flexible and customizable to handle these different products but also very easy to use.


This device, the VN-1000-Smart Analytics and Control, includes the following features:

  • Log Data: integration and analytics of every IT data source. Includes SNMP, Netflow, Syslog, call detail records, etc.
  • Wire data: IP traffic analysis. Application recognition, network KPIs, QoE measurements, IP packet sniffer.
  • Traffic control and optimization: traffic shaping, QoS per application, subnet, etc.


Overall, Viewtinet is positioning a device that covers different technologies: network monitoring, analytics, IP probe, traffic sniffer, bandwidth management platforms, etc.  For this reason, it will significantly reduce operational costs, improve productivity, and reduce downtimes.

Network Observability with Viewtinet

Easy deployment, with passive bypass


The VN-1000-Smart Analytics and control are delivered with a passive bypass to avoid adding a pain point in the network. There are different versions of the platform to match the required number and types of interfaces.

The bypass is physically connected inline of the network. The VN-1000-SAC is connected both to the bypass (to analyze and control de traffic) and to the management network (to receive the logs and registers from the different IT actives of the network).

QoS IP Sniffer deployment



Many companies are avoiding the jump to IT observability due to its implementation costs. Other companies are searching for QoS vendors alternatives to substitute the end-of-life devices that are already in place (i.e. Packet Shaper). Many IT managers have also given up searching for affordable IP Sniffers. What Viewtinet is providing is a very unique platform that covers all these common needs, at a significantly lower TCO than acquiring these technologies separately.

Wire data analytics AND Traffic Optimization

Given the evolution of communication networks, their administration and supervision tasks usually lead the responsible team to work reactively, trying to solve application performance problems that have been reported by users.

It is not easy in a distributed environment, with applications hosted in the private cloud, and others in the public cloud, to be able to identify where the problem is. Is it in any of the elements that are part of the communication chain? Is it in the SaaS provider? Is it in my communications service provider? Is it a problem at the network level, internal or in the Internet exit?

Consequently, many organizations have adopted Wire Data solutions. This consists of network probes capable of identifying all applications using DPI (deep packet inspection), measuring their performance, and providing metrics of their quality of experience. Once the behavior of the network at level 7 is understood, we should move to the next level: if we identify network issues, latencies, bottlenecks, or low quality of experience, we must be able to act and improve the network performance

In the first place, it is vitally important to have an application control and management system. In order to avoid bottlenecks, it is necessary to grant different quality of service policies to different applications according to their nature. What’s more, nowadays, given the new scenario caused by the Covid-19, there is a need to ensure that all video call applications have the necessary assured bandwidth to operate in real-time. Similarly, if there is saturation in the network, it is convenient to decrease the priority of other less critical flows such as email applications, system updates, etc. and even block unwanted traffic on the network such as Thor, Netflix, etc. All these functionalities can be achieved with Viewtify QoS, the latest generation of bandwidth management products.

Secondly, part of the internet's success is due to the TCP protocol. However, in its initial design, it was not taken into account how the networks were going to be in the future. As a result, the TCP protocol is very conservative answering to discards, high latency or congestion, causing performance limitations. Until now, optimization solutions were understood to improve WAN performance and required one instance at each of the sides of the communication. This is because the approach was to tunnel the traffic in a different protocol. Therefore, this kind of implementations leads to extremely complex and expensive projects.

Viewtinet, with Viewtify TCPO, provides a disruptive technology, that allows optimizing TCP flows from a single point of communication. It does not break the TCP protocol, making it work even for HTTPS. That is why in environments where all users are connected by Wi-Fi, such as hotels and universities, it is turning out to be a tremendously effective technology, optimizing up to 200% the performance of many flows.

Taking all of the above into account, Viewtinet proposes a unique solution where, from a single appliance, all these needs can be met:

  • Network probe, Viewtimon, capable of identifying applications, providing network KPIs, and measuring the quality of experience. Besides, it can work as a sniffer to capture packets continuously 24x7.


  • Bandwidth manager, Viewtify QoS, to grant different priorities and quality of service rules to guarantee the efficiency of critical applications.


  • TCP optimization, Viewtify TCPO, capable of accelerating all TCP flows, increasing flow speed, and improving the quality of experience.


Now that PacketShaper has been discontinued, Viewtinet provides the most complete alternative, with advanced network analytics, intuitive management based in HTTPS with unlimited policy levels for QoS, and TCP optimization, everything under the same appliance.

Wire Data + Log Data: The Perfect Match

The advantages of using wire data and log data for network intelligence.