IT Central Station is now PeerSpot: Here's why

Top 8 IT Operations Analytics Tools

SplunkDevoMoogsoftPalantir FoundryScienceLogicAppDynamics Application AnalyticsNew Relic InsightsExtraHop Reveal(x) for IT Operations
  1. leader badge
    It is the best tool if you have a complex environment or if data ingestion is too huge. The indexing and data collection are valuable.
  2. The querying and the log-retention capabilities are pretty powerful. Those provide some of the biggest value-add for us.The most powerful feature is the way the data is stored and extracted. The data is always stored in its original format and you can normalize the data after it has been stored.
  3. Buyer's Guide
    IT Operations Analytics
    June 2022
    Find out what your peers are saying about Splunk, Devo, Moogsoft and others in IT Operations Analytics. Updated: June 2022.
    607,127 professionals have used our research since 2012.
  4. There are AI features in Moogsoft. Moogsoft has one wonderful feature that allows you to convert multiple alarms into situations. Generally, all other MoM tools get the alarms, and then convert it into an incident directly. There is one extra layer they have added before converting any alarm into an incident. Suppose there are multiple alarms that are somehow all related to a single source of issue. It converts all the alarms into a single situation, which then gets converted into an incident.
  5. The solution offers very good end-to-end capabilities. The interface is really user-friendly.
  6. I'm satisfied with ScienceLogicfor for what they can offer today because they can offer both serverless connectivity and agent connectivity.It is very easy to configure because we are using an agent-less version. You can very quickly implement a collector for monitoring device servers.
  7. Provides good overall application performance and transaction errors.All the metrics are baselines in networks, infrastructure, application, and user experience. AppDynamics offers its own query language. It is called ADQL. You can write code of any kind to do queries and analysis and you can use those within the reporting or within other research.
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  9. The solution is scalable, and it is easy because all the documentation is available.
  10. Not only can you look at the protocol import level. It also has a live PCAP analysis.The most valuable features are security detections, perimeter detection, dashboards, and alerts.

Advice From The Community

Read answers to top IT Operations Analytics questions. 607,127 professionals have gotten help from our community of experts.
Rony_Sklar - PeerSpot reviewer
PeerSpot (formerly IT Central Station)

Hi community members,

I have some questions for you: 

What is ITOM? How does it differ from ITSM? 

Which products would you recommend to make up a fully defined ITOM suite?

reviewer277275 - PeerSpot reviewer
reviewer277275IT operations management (ITOM) software is intended to represent all the tools… more »
6 Answers
Evgeny Belenky - PeerSpot reviewer
Evgeny Belenky
PeerSpot (formerly IT Central Station)
Hi community, Here are the rankings reflected in this MQ: 3 Leaders: Microsoft Tableau Qlik 7 Visionaries: ThoughtSpot Tibco Software Oracle Sisense SAS SAP Yellowfin 3 Challengers: Google (Locker) Domo MicroStrategy 7 Niche Players: Amazon Web Services IBM Al...
Read More »
Claudine Beron - PeerSpot reviewer
Claudine BeronGartner is pay to play. In other words, if you don't pay Gartner a fee, they… more »
8 Answers

IT Operations Analytics Articles

Shibu Babuchandran - PeerSpot reviewer
Shibu Babuchandran
Regional Manager/ Service Delivery at ASPL Info Services
What Is AIOps? AIOps is the practice of applying analytics and machine learning to big data to automate and improve IT operations. These new learning systems can analyze massive amounts of network and machine data to find patterns not always identified by human operators. These patterns can bo...
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Jairo Willian Pereira - PeerSpot reviewer
Jairo Willian PereiraI always like this order a lot: "Consider People and Process" and only after… more »
Evgeny Belenky - PeerSpot reviewer
Evgeny BelenkyGreat article, @Shibu Babuchandran! Thank you for sharing your knowledge with… more »
Shibu Babuchandran - PeerSpot reviewer
Shibu Babuchandran
Regional Manager/ Service Delivery at ASPL Info Services
What Is Intelligent Process Automation? Intelligent process automation (IPA) refers to tasks that are automated or optimized in part by artificial intelligence and machine learning algorithms. IPA tools can reduce human intervention in a variety of business processes. IPA solutions go beyon...
Read More »
Shibu Babuchandran - PeerSpot reviewer
Shibu Babuchandran
Regional Manager/ Service Delivery at ASPL Info Services
IT Operations Management (ITOM) refers to the administration of technology and application requirements within an IT organization. Under the ITIL framework, ITOM’s objective is to monitor, control, and execute the routine tasks necessary to support an organization’s IT infrastructure. In add...
Read More »
William Linn - PeerSpot reviewer
William LinnI have done the product for 22 plus years, whenever it was called OpC.  Some… more »
1 Comment
Tjeerd Saijoen - PeerSpot reviewer
Tjeerd Saijoen
CEO at Rufusforyou
End-users can connect with different options: by cloud (AWS, Microsoft Azure or other cloud providers), by a SaaS solution or from their own datacenter. The next option is Multi Cloud and hybrid - this makes it difficult to find reasons for a performance problem.  Now users have to deal with m...
Read More »

IT Operations Analytics Topics

Why is IT operations analytics important?

Many companies are using artificial intelligence (AI) tools to improve operations because IT operations analytics (ITOA) tools can simplify day-to-day IT Ops.

Integrating IT Operational Analytics gives organizations an organized way to improve efficiency. By implementing ITOA practices and tools, companies can streamline processes, thus reducing cycle time and costs.

Organizations usually gather data for compliance or reporting purposes. Still, many companies don’t yet understand the importance of leveraging operational data. Every operation contains a gold mine of useful information that, if analyzed, can provide pinpoint detail over productivity, efficiency, security, and many more applications.

Integrating ITOA practices and tools means taking a proactive approach, monitoring and analyzing operations data to detect and identify bottlenecks and problematic patterns before they stall operations.

ITOA also enhances security. Let’s say you are under a DDoS (Distributed Denial of service) attack. Finding the root cause quickly is key to stopping it. An ITOA tool can give you visibility over the entire environment to spot changes and identify the vulnerability that gave way to the attack. IT operations analytics can also help prevent threats because it can detect potential vulnerabilities in the system, allowing you to fix them before an attacker can exploit them.

How do IT operations analytics tools work?

ITOA software can be provided on premises or via a cloud provider. The tool gathers and analyzes all the data from disparate live running sources, including log, agent, and wire data. For instance, it collects data from operating systems, hypervisors, applications, databases, network devices, and the web. ITOA uses Big Data principles to extract, correlate, combine, and analyze data to derive useful insights under data-driven monitoring practices.

So, how do ITOA tools work? These artificial intelligence-powered tools monitor the entire system, collecting information from disparate IT operations sources such as wire data, agent data, machine data (event logs), and transactional operations. Next, the tool stores and indexes the data in a data store.

The next step involves processing, normalizing, and turning the data into useful information. The software creates a baseline, learning what is normal for the system or environment, then combining and correlating different data sets to detect abnormal patterns.

Finally, the tool sends alerts with recommendations on the issues it found.

This provides organizations with a heads-up over operations, enabling them to diagnose, prioritize, and resolve issues quickly and efficiently. ITOA tools leverage automation to solve low-level or common problems, saving time and effort from IT Ops.

Common applications for ITOA systems are:

  1. Root cause analysis: Helps pinpoint unknown root causes of system behavior problems.
  2. Problem assignment: Provides insights on how these problems may be resolved.
  3. Service impact analysis: Enables organizations to determine the potential impact of the issues so they can be fixed in the most timely and effective way.
  4. Control of service performance and availability: Predicts the state of the system and how the issues can affect performance.
  5. Application behavior learning in real time: Correlates and compares the behavior of applications, creating a baseline for future comparisons.
IT Operations Analytics Features

Since ITOA as a technology is still growing, there is no “common core of features” for all vendor offerings. However, there are some desirable features to look for that will make your work easier:

  • Establishes a baseline: The tool should be able to analyze historical data and establish what is normal for the system, network, or environment as a baseline for future comparison.
  • Provides automated log analysis and predictive analysis: Including machine-learning-based automated behavior analysis to derive insights from past events and predict when such problems may happen in the future.
  • Enables cross-domain collection and reporting: The ITOA tool can search, gather, and analyze live and logged data from disparate sources, including multiple environments such as on-premises and cloud.
  • Easy to set up and use: In this fast-paced digital world, ITOA software that takes weeks to set up is not very useful. It must be easy to install in order to get quick operational advantages. Additionally, the system should be easy to use, with clear and customizable dashboards that enable full visibility.
  • Grows with your business: If the volume of your operations increases, the ITOA tool should be able to handle the increased workload without downtime.
IT Operations Analytics Benefits

Analyzing operational data can be extremely helpful in order to acquire actionable information for data-driven decisions. ITOA tools gather, compare, correlate, and analyze operational data from disparate sources - live and logged - to detect potential issues and recommend solutions.

Some of the benefits of implementing ITOA tools and practices include:

  • Detecting, troubleshooting and predicting problems in IT Operations. The system simplifies and automates the finding and fixing of common operational issues.
  • Optimizes IT service performance. It gives a broad view of operations by analyzing data from various sources within the business.
  • Collects and monitors logs and running data for abnormalities, enabling them to be fixed in real-time.

IT Operation Management teams can then leverage ITOA tools to:

  • Solve issues quickly and efficiently.
  • Have references to previous problem resolutions that can be optimized in future cases.
  • Save time and effort by automating low-level troubleshooting.
  • Have an encompassing view of the state of the system operations in terms of efficiency, productivity and security.
Buyer's Guide
IT Operations Analytics
June 2022
Find out what your peers are saying about Splunk, Devo, Moogsoft and others in IT Operations Analytics. Updated: June 2022.
607,127 professionals have used our research since 2012.