What is IT operations analytics (ITOA)? IT operations analytics is a group of practices and processes to monitor systems in order to gather, process, analyze, and interpret data from IT operations to guide decisions and manage risks.
This artificial intelligence-powered analytics process gives you actionable insights in near-real time so you can detect, fix, and prevent operational issues with IT applications and infrastructure. By using automation, these tools can help an organization make sense of the information generated by daily IT operations and apply the insights to improve processes’ agility.
Companies today generate massive amounts of data from their daily operations, and this data can be used for multiple purposes. You can gather data from monitoring resource usage, operating system functions, network and applications logging, and then use it to improve operational efficiency and optimize the usage of IT resources.
Operational analytics combines data analysis, business intelligence, artificial intelligence, and machine learning to optimize processes. It allows organizations to make data-driven decisions, ultimately lowering costs and improving the bottom line.
There are five types of analytics technologies:
Splunk Enterprise Security is a SIEM, log management, and IT operations analytics tool. The solution provides users with the ability to secure their information and manage their data in the cloud, data centers, or other applications. Splunk Enterprise Security also offers visibility from different areas, levels, and devices, rather than from a single system, thus, providing its users with flexibility. Splunk Enterprise Security can monitor data and analyze, detect, and prevent intrusions. This benefits users as it provides alerts to possible intrusions, helps users to be proactive, and reduces risk factors.
Devo is the only cloud-native logging and security analytics platform that releases the full potential of all your data to empower bold, confident action when it matters most. Only the Devo platform delivers the powerful combination of real-time visibility, high-performance analytics, scalability, multitenancy, and low TCO crucial for monitoring and securing business operations as enterprises accelerate their shift to the cloud.
New Relic is a versatile tool that can be customized to fit the needs of different organizations. Its primary use cases include performance monitoring, time series analysis, infrastructure monitoring, synthetic monitoring of APIs, and providing insight into UI performance. New Relic APM is a popular application monitoring tool that provides in-depth observability of an application's performance, including database queries, website response times, and page load times.
ScienceLogic is a hybrid IT infrastructure monitoring tool that is designed to help organizations digitally transform their companies by making the management of complex, distributed IT services easier. Using the solution’s discovery techniques, users can find everything they need in a network, gaining visibility across all vendors and technologies that are run in the cloud or data centers. In addition, the ScienceLogic solution can help users seamlessly monitor and manage cloud environments, monitor network resources, manage storage, and monitor app health and performance.
Palantir Foundry is an enterprise data management platform offering comprehensive tooling for working with big data. Because it is an operating system made for modern enterprises, it is highly available and a continuously updated platform.
Palantir Foundry is a fully managed SaaS platform that spans from cloud hosting and data integration to flexible analytics, visualization, model-building, operational decision-making, and decision capture. It equips technical and non-technical users to make data-driven operational decisions.
Moogsoft is an AI-based solution that ensures continuous availability and prevents downtime by utilizing machine learning and advanced correlation on your organization’s stack. Moogsoft detects incidents before they can escalate, notifies the proper response teams, and applies machine learning in order to understand patterns to help prevent similar issues in the future.
Application Analytics refers to the real-time analysis and visualization of automatically collected and correlated data to get insights into IT operations, customer experience and business outcomes. With this next generation of IT operations analytics platform, IT and business users are empowered to quickly answer more meaningful questions than ever before, all in real-time.
The ExtraHop Application Performance Management Solution Delivers Unified Visibility Across the IT Environment w/ Proactive Alerts & Accelerated Troubleshooting
Oracle Log Analytics Cloud Service is a software-as-a-service solution that monitors, aggregates, indexes, and analyzes all log data from your applications and infrastructure (running on-premises or in the cloud). It enables users to search, explore, and correlate this data to troubleshoot problems faster and derive operational insight to make better decisions.
A key component of the Event Management process is consolidation of events from across the enterprise. By consolidating disparate events into a single solution, they can be de-duplicated and correlated. For example, network failure events can be correlated with system failures, and then prioritized based on service impact.
NetBackup IT Analytics delivers unified backup and storage insights for heterogeneous IT environments across on-prem and cloud services. Gain actionable insights through a single-pane of glass for enterprise data wherever it resides.
Improve IT operations with machine learning (ML) to drive resource service levels, utilization and automation at lower costs. Obtain operational visibility from virtual machines, servers, SAN switches to shared storage resources to optimize an application’s full data path.
Apica offers a unified perspective on the entire technology stack, encompassing logs, metrics, traces, and APIs. This operational data fabric facilitates quick identification and resolution of performance issues throughout an enterprise's infrastructure. The platform's user-friendly features, including a drag-and-drop interface for dashboards and seamless integrations with tools like Prometheus and Elasticsearch, enhance ease of use and management. Apica's active observability swiftly analyzes telemetry data in real-time, enabling prompt issue resolution, while automated root cause analysis, powered by machine learning, streamlines troubleshooting in complex distributed systems. The platform's advanced data management centralizes observability data, simplifying storage, search, and analysis, thereby unveiling valuable insights and patterns. Apica also ensures compliance and governance, providing audit trails to help enterprises meet regulatory requirements. Whether for enterprises of all sizes or those with intricate distributed systems, Apica emerges as a robust tool to elevate technology stack observability and performance.
There are two main flows in IBM SmartCloud Analytics - Log Analysis - data ingestion and querying.
Axway Sentinel delivers the real-time visibility that enables IT managers to manage SLAs, ensure regulatory compliance and avoid losses and penalties that can run into the hundreds of millions of dollars.
gen-E OpsCenter empowers you to predict, analyze and resolve network problems while cutting redundant costs before they impact your customers and your business.
Oracle IT Analytics Cloud Service is a software-as-a-service solution that provides you with 360-degree insight into the performance, availability, and capacity of your applications and infrastructure investments. It enables line-ofbusiness executives, analysts, and administrators to make critical decisions about their IT operations based on comprehensive system and data analysis. Organizations can now become more proactive by identifying systemic issues, analyzing resource usage across application tiers, and forecasting future demand for services based on historical performance trends.
Indeni collects data from IT infrastructure components and analyzes them according to known best practices, crowdsourced from industry experts and Fortune 1000 companies from around the globe. Indeni customers receive pre-emptive alerts with information about what the issue is going to be avoiding network downtime. It is like having an extended virtual expert team working for you.
Trusted by enterprises everywhere, the True Visibility Suite includes dozens of management packs that allow cloud management teams to use VMware vRealize’s powerful machine learning and capacity planning engine across their entire hybrid cloud environment.
Glassbeam Big Data Platform and applications helps your support teams troubleshoot faster, allows your engineering teams to build better
products and provides up-sell visibility for sales teams to increase revenues.
Nyansa is a fast-growing innovator of advanced IT infrastructure analytics software. The company is credited with developing the first cloudsourced, vendor-agnostic network analytics platform, called Voyance. Nyansa provides customers operational assurance for users, clients, and IoT devices connected to enterprise networks.
By extracting, sorting and merging relevant SMF records into logical job groupings, eSMF provides a simple yet complete way of tracking all z/OS-executed processes. The software identifies every step performed during every production run, then collects this data and consolidates it into a clear, detailed and publishable format. The solution's archiving capabilities make it practical to store years of SMF records.
An efficient service desk keeps people, processes and technology in sync for operational efficiency. Evolving your service desk into a New-Age digital service desk has become a mandate for the modern digital enterprise. Zero Incident Framework TM focuses on the end-user experience rather than traditional SLAs to evaluate service desk performance. A Digital Service Desk captures user experience and provides insights to help improve it.
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.
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:
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:
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:
IT Operation Management teams can then leverage ITOA tools to:
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.
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:
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:
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:
IT Operation Management teams can then leverage ITOA tools to:
