Compare the Top AIOps Tools and Platforms using the curated list below to find the Best AIOps Tools for your needs.
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Site24x7 provides unified cloud monitoring to support IT operations and DevOps within small and large organizations. The solution monitors real users' experiences on websites and apps from both desktop and mobile devices. DevOps teams can monitor and troubleshoot applications and servers, as well as network infrastructure, including private clouds and public clouds, with in-depth monitoring capabilities. Monitoring the end-user experience is done from more 100 locations around the globe and via various wireless carriers.
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Edge Delta
Edge Delta
$0.20 per GB 10 RatingsEdge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment. -
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New Relic
New Relic
Free 2,461 RatingsAround 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability. -
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Netreo is the best full-stack IT infrastructure management and observation platform. Netreo is a single source for truth for proactive performance monitoring and availability monitoring of large enterprise networks, infrastructure, and applications. Our solution is used by: IT executives should have full visibility of the business service, right down to the infrastructure and network that supports them. IT Engineering departments are used as a decision support system to plan and architect modern solutions. IT Operations teams can have real-time visibility into what is going wrong in their environment, which bottlenecks exist, and who it is affecting. All of these insights are available for systems and vendor mix in large heterogeneous environments that are constantly changing. We have a growing list of vendors that we support (over 350 integrations), including network vendors, storage, virtualization, and servers.
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Splunk Cloud
Splunk
1 RatingSplunk is a secure, reliable, and scalable service that turns data into answers. Our Splunk experts will manage your IT backend so you can concentrate on your data. Splunk's cloud-based data analytics platform is fully managed and provisioned by Splunk. In as little as two days, you can go live. Software upgrades can be managed to ensure that you have the most recent functionality. With fewer requirements, you can tap into the data's value in days. Splunk Cloud is compliant with FedRAMP security standards and assists U.S. federal agencies, their partners, and them in making confident decisions and taking decisive actions at rapid speed. Splunk's mobile apps and augmented reality, as well as natural language capabilities, can help you increase productivity and contextual insight. Splunk solutions can be extended to any location by simply typing a phrase or tapping a finger. Splunk Cloud is designed to scale, from infrastructure management to data compliance. -
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We have nearly 20 years of experience helping enterprises and managed service providers (MSPs), worldwide to better manage their SAP and Cloud landscapes. We know what it takes for businesses that rely on SAP to get better service, innovation, and compliance. We are a Swiss company founded in Switzerland and have a global presence in the USA, UK, Germany, Australia and Germany. We are well-positioned to support the largest SAP customers as Managed Service Providers.
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Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.
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Splunk Enterprise
Splunk
2 RatingsSplunk makes it easy to go from data to business results faster than ever before. Splunk Enterprise makes it easy to collect, analyze, and take action on the untapped value of big data generated by technology infrastructures, security systems, and business applications. This will give you the insight to drive operational performance, and business results. You can collect and index logs and machine data from any source. Combine your machine data with data stored in relational databases, data warehouses, Hadoop and NoSQL data storages. Multi-site clustering and automatic loads balancing scale can support hundreds of terabytes per day, optimize response time and ensure continuous availability. Splunk Enterprise can be customized easily using the Splunk platform. Developers can create custom Splunk apps or integrate Splunk data in other applications. Splunk, our community and partners can create apps that enhance and extend the power and capabilities of the Splunk platform. -
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AppDynamics
Cisco
$6 per month 1 RatingWe help you solve your most pressing business problems with simple, flexible and scalable packages that will make your digital transformation a reality. Get started today with our top business observability platform. AppDynamics or Cisco business lenses provide full-stack visibility. Prioritize the most important things for your business and your employees so that you can share, see and take action in real-time. With a deeper understanding and appreciation of user behavior and applications, you can turn performance into profit. You can quickly fix issues before they affect your bottom line by integrating full stack performance with key business metrics, such as conversions. -
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Aisera is at the forefront of innovation. It has introduced a revolutionary solution which redefines how businesses and customers thrive. Aisera's cutting-edge AI offers a proactive experience that is personalized and predictive. It automates support and operations across many sectors, including HR and IT, sales and customer service. Aisera empowers its users by providing self-service solutions that are similar to those offered by consumers. Aisera accelerates your journey to a more streamlined future by unleashing the power of digitalization. Aisera automates tasks, actions and critical business processes by leveraging user and service behavioral insights. Aisera seamlessly integrates with leading platforms like Salesforce, Zendesk and ServiceNow. It also works with Microsoft, Adobe, Oracle SAP, Marketo Hubspot and Okta.
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IBM®, Netcool®, Operations Insight powered by AI and Machine Learning capabilities helps reduce event noise and automatically groups events that are related to the same issue. This provides context to help you work smarter, and not harder. It gives you a comprehensive view of your hybrid, cloud, and local environments. It also provides actionable insight into the performance and dynamics of IT infrastructures and networks. With greater insight into dynamic environments and the option of containerized deployment on IBM Cloud Private, you can modernize and simplify IT operations.
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LogicMonitor
LogicMonitor
LogicMonitor is the leading SaaS-based, fully-automated observability platform for enterprise IT and managed service providers. Cloud-first and hybrid ready. LogicMonitor helps enterprises and managed service providers gain IT insights through comprehensive visibility into networks, cloud, applications, servers, log data and more within one unified platform. Drive collaboration and efficiency across IT and DevOps teams, in a fully secure, intelligently automated platform. By providing end-to-end observability for enterprise businesses, LogicMonitor connects coders to consumers, customer experience to the cloud, infrastructure to applications and business insights into instant actions. Maximize uptime, optimize end-user experience, predict what comes next, and keep your business fearlessly moving forward. -
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CloudFabrix
CloudFabrix Software
$0.03/GB Service assurance is a key goal for digital-first businesses. It has become the lifeblood of their business applications. These applications are becoming more complex due to the advent of 5G, edge, and containerized cloud-native infrastructures. RDAF consolidates disparate data sources and converges on the root cause using dynamic AI/ML pipelines. Then, intelligent automation is used to remediate. Data-driven companies should evaluate, assess, and implement RDAF to speed innovation, reduce time to value, meet SLAs, and provide exceptional customer experiences. -
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StormForge
StormForge
FreeStormForge is the only platform that combines Enterprise-Grade Performance-Testing-as-a-Service with Machine Learning powered resource tuning to deliver optimal Kubernetes application performance at the lowest possible cloud cost. StormForge customers see a 50% improvement in application performance and 50% less cloud-resources within 3 days. -
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Sedai
Sedai
$10 per monthSedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos. -
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Loom Systems
Loom Systems
$20/server/ month Loom Systems' patent-pending AIOps solution prevents and predicts problems for businesses that are undergoing digital transformations or cloud migrations. Loom's AIOps can detect IT problems before they affect customers and provide insights and solutions in plain English. This not only keeps operations moving smoothly and improves business productivity but also reduces the time spent reading logs and allows operations to focus on more valuable IT tasks. -
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Zenoss
Zenoss
Zenoss Cloud, the first SaaS-based intelligent IT operation management platform, streams and normalizes all machine information. This unique feature allows for the creation of context to prevent service disruptions in complex, modern IT environments. Zenoss allows enterprises to focus on their business growth by removing the burden of managing operations and architecture. Zenoss helps organizations eliminate infrastructure blindspots, predict business service impacts before they cause outages, and respond faster to incidents -- whatever size the business requires. -
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cPacket
cPacket Networks
cVu-V - $21,000/year cPacket provides network-aware application performance for distributed hybrid-IT environments and security assurance. Our single-pane of-glass analytics enable machine learning-based AIOps. cPacket allows you to manage, secure, and future-proof your network, enabling digital transformation. This industry's most comprehensive, yet simple network visibility stack offers all you need to manage your hybrid network across branch and data center, as well as the cloud. -
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Seerene
Seerene
Seerene's Digital Engineering Platform uses software analytics and process mining technology to analyze and visualize your company's software development processes. It uncovers weaknesses and transforms your company into a well-oiled machine that delivers software efficiently, cost-effectively and quickly with the highest quality. Seerene gives decision-makers the information they need to drive their organization towards software excellence at 360deg. Reveal code that is often broken and kills developer productivity. Reveal features that are not executed by end-users or have a mismatch in developer time and created user value. -
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BigPanda
BigPanda
All data sources, including topology, monitoring, change, and observation tools, are aggregated. BigPanda's Open Box Machine Learning will combine the data into a limited number of actionable insights. This allows incidents to be detected as they occur, before they become outages. Automatically identifying the root cause of problems can speed up incident and outage resolution. BigPanda identifies both root cause changes and infrastructure-related root causes. Rapidly resolve outages and incidents. BigPanda automates the incident response process, including ticketing, notification, tickets, incident triage, and war room creation. Integrating BigPanda and enterprise runbook automation tools will accelerate remediation. Every company's lifeblood is its applications and cloud services. Everyone is affected when there is an outage. BigPanda consolidates AIOps market leadership with $190M in funding and a $1.2B valuation -
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meshIQ
meshIQ
Middleware Observability & management software for Messaging, event processing, and Streaming Across Hybrid Clouds (MESH). - 360 degree situational awareness® with complete observability of Integration MESH - Manage configuration, administration and deployment in a secure manner and automate them. - Track and trace transactions, messages, and flows - Collect data, monitor performance, and benchmark it meshIQ provides granular controls for managing configurations in the MESH, reducing downtime and allowing quick recovery after outages. It allows you to search, browse, track and trace messages in order to detect bottlenecks, speed up root cause analysis, and detect bottlenecks. Unlocks integration blackbox for visibility across MESH infrastructure in order to visualize, analyse, report and predict. Delivers the capability to trigger automated action based on predefined criteria or intelligent AI/ML actions. -
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Voyance
Nyansa
Voyance, an AIOps platform, goes beyond traditional infrastructure monitoring. It combines powerful network analytics with IoT security in one platform. Voyance provides visibility into the behavior of network clients and a wide range of data sources. This data is processed by an AI-powered analytics engine to provide actionable information and recommendations that will allow you to optimize your network and prevent problems. Voyance is a robust platform that integrates technology and vendors to increase data collection and add value across the enterprise. Voyance can, for example, analyze data directly from Citrix virtual environments and Unified Communications (UC), solutions. The platform can integrate with external frameworks like SIEM solutions, Cisco Platform Exchange Grid pxGrid (aruba clearpass), and Cisco Platform Exchange Grid pxGrid. ServiceNow native integration automates trouble ticket generation -
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BMC Helix Operations Management
BMC Software
BMC Helix Operations Management, a cloud-native, fully integrated, observability, and AIOps system, is designed to address hybrid-cloud environments. For truly effective AIOps, adopt a service-centric approach for observability data. Combine third-party observability data, such as metrics, events logs, incidents and changes, into a central IT storage data store. Service health can be viewed and root cause isolation can be achieved using dynamic business service models that are auto-generated. Increase signal-to-noise ratio through AI event suppression, deduplication and correlation to create actionable circumstances. With data and service models, AI probability assignments to causal nosdes using data and models allow for root cause isolation. Business Service Health monitoring and AI outage prediction can help you prevent problems from ever happening. Log enrichment and analytics make it easy to troubleshoot quickly. Automate your tasks with BMC or third-party tools. -
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Federator.ai
ProphetStor Data Services
ProphetStor's Artificial Intelligence for IT Operations (AIOps), Federator.ai® provides intelligence to orchestrate container resource on top of VMs or bare metal. This allows users to run applications without having to manage the underlying computing resources. Kubernetes has become the standard for container management platforms. Container adoption is increasing. The operational overhead for container adoption is huge, regardless of whether it takes place on-premises or in public clouds. Federator.ai®, which uses AI/Machine Learning technology to predict workload and resource requirements for containerized applications, makes these predictions. It helps IT administrators predict the computing resource requirements of applications and manage computing resources without sacrificing performance. -
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Alluvio Aternity Digital Experience Management
Riverbed Technology
The Alluvio Aternity Digital Experience Management Platform provides AI-powered analytics, self-healing control, and customer satisfaction to increase employee productivity and customer satisfaction. It also helps to get to market quickly with high-quality apps, reduce the cost of IT operations, and minimize the risk of IT Transformation. Alluvio Aternity Digital Experience Management Platform provides business context to each end-user, application, and activity. This helps to improve productivity, reduce costs, and inform remediation. Alluvio Aternity provides the only complete digital experience for customers, employees, and business. You have visibility and self-healing for every cloud, SaaS or thick client in your portfolio. This can be done on any device. Simple, high-definition monitoring that is scalable and easy to deploy. It unifies APM visibility across end user, applications, networks, as well as the cloud-native ecosystem. -
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Selector Analytics
Selector
Selector's software-as-a-service employs machine learning and NLP-driven, self-serve analytics to provide instant access to actionable insights and reduce MTTR by up to 90%. Selector Analytics uses machine learning and artificial intelligence to perform three essential functions and provide actionable insight to network, cloud, or application operators. Selector Analytics can collect any data, including configurations, alerts and metrics, events, logs, and logs, from heterogeneous sources. Selector Analytics can harvest data from router logs or device or network metrics. Selector Analytics collects data and normalizes, filters and clusters it. Selector Analytics also uses pre-built workflows that allow for actionable insights. Selector Analytics then uses machine-learning-based data analytics to analyze metrics and events and detect anomalies. -
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Unravel
Unravel Data
Unravel makes data available anywhere: Azure, AWS and GCP, or in your own datacenter. Optimizing performance, troubleshooting, and cost control are all possible with Unravel. Unravel allows you to monitor, manage and improve your data pipelines on-premises and in the cloud. This will help you drive better performance in the applications that support your business. Get a single view of all your data stack. Unravel gathers performance data from every platform and system. Then, Unravel uses agentless technologies to model your data pipelines end-to-end. Analyze, correlate, and explore all of your cloud and modern data. Unravel's data models reveal dependencies, issues and opportunities. They also reveal how apps and resources have been used, and what's working. You don't need to monitor performance. Instead, you can quickly troubleshoot issues and resolve them. AI-powered recommendations can be used to automate performance improvements, lower cost, and prepare. -
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IBM Turbonomic
IBM
Reduce infrastructure costs by 33%, decrease data center refresh costs of 75%, and get 30% back in engineering time through smarter resource management. Complex applications are becoming more prevalent in your business. They can also make it difficult for your team to keep up with dynamic demand. Teams often react at a human speed after the fact when application performance drops. You may overprovision resources to avoid disruption. These estimates can be costly and not always pay off. This can be eliminated with the IBM® Turbonomic® Application Resource Management platform. It will save you both time and money. Automate critical actions continuously in real-time, without human intervention. This allows you to proactively make the most of compute, storage, and network resources for your apps at each layer of the stack. -
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TrueSight Operations Management
BMC Software
TrueSight Operations Management provides end-to-end performance monitoring, event management, and event management. It uses AIOps technology to dynamically learn, correlate, analyze and prioritize event data. This allows IT operations teams to predict, find, and fix problems faster. Predictively alert to identify data anomalies and fix issues before they impact service. TrueSight Infrastructure Management allows you to detect and correct performance anomalies before they affect your business. It automatically detects abnormalities in your infrastructure and alerts you when they need attention. This allows you to focus on the most important events for IT and business. TrueSight IT Data Analytics uses machine assisted analysis to analyze log data, metrics and events. With a single click, you can automatically sort through millions of messages to find the right solution faster. -
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Rackspace Fabric
Rackspace Technology
Our proprietary software platform delivers a single experience across all multicloud solutions. Consistent. It is manageable. Efficient. Rackspace Fabric is our technology platform that solves your problem: How to unify all cloud platforms, thereby enabling consistency in multicloud. This service layer allows us to provide common governance, ticketing and billing across multicloud estates. We are not replacing your native cloud technology access, but unifying the service layers between them. This allows customers to access cloud resources from multiple providers faster and more consistently, allowing them to achieve the transformative capabilities of cloud faster. Rackspace Fabric is unique because we have combined our over 20 years of experience in all these threads with the most recent cloud technologies and woven it together into one platform. -
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Moogsoft
Moogsoft
Are you having trouble processing all those tickets and alerts? Moogsoft AIOps reduces the noise and helps you detect issues earlier. Don't let a flood alerts slow down your day. We automatically remove all the annoying alerts that could distract you. Never look at another ticket. Instead of sending you tickets, we only send you "Situations" which are actionable work items that you can use to solve problems quickly before your customers complain. Stop wasting your time switching between tools. We bring all your tools together so that you can manage any incident regardless of its source. -
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Micro Focus OpsBridge
Micro Focus
Micro Focus®, Operations Bridge (OpsBridge), monitors your IT environment, consolidates data from existing tools, and provides analytics. It automates data discovery, monitoring, analysis, and remediation across traditional, private and public, multi-cloud, container-based infrastructure. OpsBridge automates AIOps using machine learning and analytics. This reduces the number of events and speeds up root cause identification and remediation. Executive stakeholders get actionable insight into their mobile devices through tailored dashboards that show key status, business and IT KPIs. Hybrid IT is quickly becoming the norm, and IT operations teams must be able to meet the business's needs. They must be able offer both cloud and on-premises options to support critical business services and applications. They must be able to adapt quickly to new technologies and seamlessly adopt new cloud vendors and other services selected by the business. -
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JFrog Insight
JFrog
CloudMunch has been acquired by JFrog and we are now integrating our solutions to enhance your experience with DevOps BI/analytics. We cannot do it without you feedback and we welcome you to be one of the first to try JFrog Insight. It will be easy to manage and monitor DevOps value. JFrog Insight provides continuous intelligence and configuration solutions to enterprising DevOps. This universal tool will give you a complete picture about your DevOps process and ecosystem. It will also collect key metrics and correlate them across different systems. This will give you actionable insights for compliance officers, development managers, and operations teams. Our R&D team is currently integrating CloudMunch into JFrog’s tools stack to bring you JFrogInsight - the next generation DevOps bringing BI analysis to your organization. -
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OpsRamp
OpsRamp
Reduce IT operations. Digital Transformation Acceleration OpsRamp is ready to integrate with any environment. It has pre-built APIs and tools to create custom integrations with your DevOps and ITSM tools. OpsRamp is your digital operations command centre. It provides operational insights across multiple platforms and point tools, allowing for a holistic view. Stop managing infrastructure and begin delivering end-to–end IT services. -
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Autointelli AIOps Platform
Autointelli Systems
Autointelli Inc is an AIOps company that provides solutions for modern IT operations (ITOps). This includes a combination of automation and machine-learning. We are a solution-oriented company that excels in the development of an AIOps platform to simplify data center automation. Automate them using Autointelli AIOps platform. Reduce alert noise, identify root causes, and free up resources for high-value IT tasks. With us, you can create a better digital workplace. Autointelli AIOps Platform automatically correlates events and escalates tedious incidents to the appropriate engineers. Autointelli AIOps Platform includes a self-service automation feature which allows you to create as many workflows as you wish. Root cause analysis is used to determine the root cause of a problem in hardware or software. Analytics can improve your business performance and provide insights from all data sources. -
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StackState
StackState
StackState's Topology & Relationship-Based Observability platform allows you to manage your dynamic IT environment more effectively. It unifies performance data from existing monitoring tools and creates a single topology. This platform allows you to: 1. 80% Reduced MTTR by identifying the root cause of the problem and alerting the appropriate teams with the correct information. 2. 65% Less Outages: Through real-time unified observation and more planned planning. 3. 3.3.2. 3x faster releases: Developers are given more time to implement the software. Get started today with our free guided demo: https://www.stackstate.com/schedule-a-demo -
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Mosaic AIOps
Larsen & Toubro Infotech
What is AIOps, or Artificial Intelligence for IT Operation? There are many definitions of the term on the internet. Let's not forget to look at the original definition. Gartner, Inc. states that AIOps platforms use big data, modern machine-learning and other advanced analytics technologies to directly or indirectly enhance IT operations (monitoring, automating and service desk) functions with proactive, personalized and dynamic insight. AIOps platforms allow simultaneous use of multiple data sources, data collection techniques, analytical (real time and deep) technologies and presentation technologies. AIOps's basic concept is to harness the full potential of artificial intelligence to manage the IT environment proactively, using the power of Artificial Intelligence. -
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Digitate ignio
Digitate
Transform your domain operations using AI and automation to create an autonomous enterprise for greater resilience, assurance, customer satisfaction, and increased customer satisfaction. Digitate's ignio solves your operational problems for an agile, resilient and autonomous enterprise. Businesses can quickly adapt to change, evolve digitally, and unleash innovation to sustain their growth. ignio can transform your IT and business operations from reactive to proactive. Learn how enterprises can improve their IT operations strategy and business strategy to become an autonomous enterprise. Start your journey from traditional to automated to autonomous operations. Autonomous Operations, powered by AI and Machine Learning, allows enterprises to reduce manual effort, adapt to business and IT changes efficiently, and focus on innovation. -
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Learn how to get started on your AIOps journey with IBM Cloud Pak® for Watson AIOps. IBM Cloud Pak®, for Watson AIOps, is an AIOps platform that deploys advanced AI across the ITOps toolchain. This allows you to confidently assess, diagnose, and resolve incidents across mission critical workloads. IBM Cloud Pak® for Watson AIOps will allow you to continue your entitlements for IBM Netcool®, Operations Insight, or any other IBM IT management offerings. All relevant data sources can be correlated. Detect hidden anomalies, anticipate problems and resolve them faster. Automate runbooks to reduce risk and improve efficiency. AIOps tools allow you to connect a large amount of structured and unstructured data in real-time. Keep teams focused by incorporating insights and recommendations into existing workflows to keep them on track. Automate across applications components by creating policy at the microservice level.
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Dashboards can be used to monitor service health, troubleshoot alarms, and conduct root cause analysis. Reduce MTTR by integrating ITSM and orchestration tools with real-time event correlation and automated incident prioritization. Advanced analytics such as adaptive thresholding, predictive health scores and anomaly detection can be used to monitor KPI data and prevent problems up to 30 minutes before they occur. Pre-built dashboards allow you to monitor performance and visually correlate services with the underlying infrastructure. Side-by-side comparisons of multiple services can be used to identify root causes. Machine learning algorithms and historical service scores can be used to predict future incidents. You can automatically update your rules using adaptive thresholding or anomaly detection based on historical and observed behavior. This will ensure that your alerts never go out of date.
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XiteiT
XiteiT
A centralized platform that integrates all production events, runbook governance and automations with advanced analytics to manage your cloud operations will help you control the flow of your cloud operations. Designed to increase productivity and help every member of the team achieve more. Whether you're a cloud native or a scale-up company, XiteiT makes it easy to manage the daily complexities of your cloud operations team. CloudOps automation platform and orchestration platform that integrates all the organization's productivity tools, monitoring, and automation platforms. All your cloud operations tasks can be managed from one place, allowing 360o visibility and operational consistency. This platform also makes use of existing people and processes to improve incident response and production management. Operational visibility is key to ensuring that decisions are made quickly and that remediation times are reduced. -
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HPE InfoSight
Hewlett Packard Enterprise
You won't have to spend days searching for the root cause of your hybrid environment. HPE InfoSight collects data every second from more than 100,000 systems around the world and uses this intelligence to make each system smarter and self-sufficient. HPE InfoSight automatically predicts and resolves 86% customer issues. To achieve always-on, fast apps, infrastructure must provide greater visibility, intelligent performance suggestions, and more autonomous autonomous operations. HPE InfoSight app insights is the answer. AI can help you go beyond traditional performance monitoring and quickly diagnose and predict problems across all apps and workloads. HPE InfoSight uses AI to create autonomous infrastructure. -
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Cybus Connectware
Cybus
Connect your IT systems and the most complex production environments through a central software. Large-scale configuration enables rapid and streamlined deployments. Automated scalings allow you to standardize and digitize the connectivity layer across multiple production sites. Your team can implement use cases quickly, independently and cost-effectively with direct access to industrial data in real-time from IT and OT. Build a solid data infrastructure and rely on a highly available and holistic industrial connectivity. Integrate all applications and systems seamlessly. Integrate shop-floor assets quickly and easily to deliver real time data insights. Drive business by executing initiatives quickly that require production data. -
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Optanix
Optanix
Are you struggling to keep up with a growing number of projects, new environments, and new technology options? Optanix provides a forward-looking solution to help service providers and enterprises adapt to new technologies in dynamic and distributed environments. Are you having trouble integrating multiple IT infrastructure management tools with disconnected event, performance, and application data? Optanix is a complete monitoring system that includes innovative features such as Predictive Analysis and AIOps. This gives you a unified, intelligent, and business-aligned view on your IT services and infrastructure. The Optanix Platform was developed with modern software principles in mind, as well as operational requirements. We also have extensive experience in service assurance. -
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HEAL Software
HEAL Software
Your enterprise's self-healing IT solution. HEAL's unique cognitive capabilities prevent IT system failures from ever happening, allowing you to focus your energy on other areas of your business. It's not enough to flag incidents after they happen in a fast-paced world. HEAL, a self-healing tool that predicts and prevents instead of fixing what's broken is a new age IT tool. It uses AI algorithms and machine learning to help enterprises run smoothly. HEAL uses a patented technique called workload-behavior correlation'. It analyzes all aspects that contribute to the smooth running an IT system (the cumulative volumes, composition, and payload) and responds to any abnormal behavior. This action can either be a healing or scaling action depending on the root cause. -
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TorqCloud
IntelliBridge
TorqCloud was designed to help users source data, move it, enrich it, visualize, secure and interact with that data using AI agents. TorqCloud is a comprehensive AIOps tool that allows users to create or integrate custom LLM applications end-to-end using a low code interface. Built to handle massive amounts of data and deliver actionable insights, TorqCloud is a vital tool for any organization that wants to stay competitive in the digital landscape. Our approach combines seamless interdisciplinarity, a focus on user needs, test and learn methodologies that allow us to get the product to market quickly, and a close relationship with your team, including skills transfers and training. We begin with empathy interviews and then perform stakeholder mapping exercises. This is where we explore the customer journey, behavioral changes needed, problem sizing and linear unpacking. -
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ScienceLogic
ScienceLogic
Find all components in your enterprise, both standard and unique, across physical, virtual, and cloud. A data lake that is clean and normalized can be used to collect and store diverse data. Understanding the relationships between infrastructure, business services and applications. This context will provide you with actionable insights. In real-time, integrate and share data across technology and your IT ecosystem. Multi-directional integrations are used to automate proactive and reactive actions at cloud scale.
AIOps Tools Overview
AIOps tools are technology solutions that use analytics and machine learning algorithms to automate IT operations. They provide real-time visibility into enterprise infrastructure and applications, enabling organizations to quickly pinpoint performance issues and take appropriate corrective action. With AIOps tools, businesses can identify patterns in data faster than ever before, anticipating service disruptions or system outages before they occur.
AIOps platforms offer a centralized platform for managing various types of IT of data. This includes log files, performance metrics, user feedback and events from IT systems and networks. The platform processes huge volumes of data that can be used to detect anomalous behavior or alert teams to early signs of failure. The platform then applies automated decision-making capabilities to determine the best course of action based on the insight gained from this analysis.
The main advantage AIOps offers is its ability to help reduce mean time to resolution (MTTR). By analyzing data from across the entire IT environment — including application performance, infrastructure components and customer sentiment — AIOps delivers meaningful insights that guide teams towards corrective actions in a timely manner. This means businesses are able resolve problems more quickly and with less manual effort, thereby reducing costs associated with downtime and improving customer satisfaction levels.
In addition, AIOps automates routine tasks such as incident management so teams can focus on higher-value activities like developing new features for customers or creating innovative solutions for business needs. Finally, AIOps provides teams with greater access to predictive analytics capabilities which enable them to anticipate future changes in system behavior or customer demand so they can adjust their operations accordingly.
All in all, AIOps provides organizations with a powerful toolset for enhancing their overall operational efficiency while minimizing costs associated with downtime or service interruptions due to mismanagement or poor resource allocation decisions.
What Are Some Reasons To Use AIOps Tools?
- Increase Efficiency: AIOps can quickly identify errors and issues, address them with automated solutions, and help speed up the time-to-resolution of service outages or other problems caused by IT infrastructure. This can significantly reduce the amount of time spent on manual troubleshooting efforts.
- Proactive Problem Management: With AI-driven analytics, AIOps can identify potential performance degradation before they become serious problems. By proactively monitoring for anomalies it is possible to anticipate problems and take preventative action ahead of time avoiding costly downtime or customer dissatisfaction.
- Improve Service Quality: By combining incident management with machine learning algorithms, organizations can take advantage of intelligent analytics that allow them to quickly analyze data from various sources and make better-informed decisions about future service strategies. This helps improve service quality for customers over time as well as providing insights into customer preferences that could lead to profitable changes in product development or customer experience programs..
- Cross Team Collaboration: Unlike traditional problem resolution methods which rely heavily on manual labor, AIOps enables teams access real-time data meaning they no longer need to depend on hypothesizing or guesswork when trying to figure out what the root cause of a problem is or how best to solve it. This simplifies collaboration across technical departments, enabling faster response times which leads to improved customer satisfaction levels in turn helping organizations foster team work and productivity between teams working together on different projects at once.
The Importance of AIOps Tools
AIOps tools are becoming increasingly important in the modern digital world. With the large amount of data generated by every technology interaction, it becomes a challenge to identify and address abnormalities in business operations quickly, often times leading to system outages or other unexpected activity. AIOps tools use Artificial Intelligence (AI) technologies such as Machine Learning (ML), Natural Language Processing (NLP), and analytics to help organizations manage their IT operation effectively.
The goal of AIOps is to improve the speed and efficiency with which organizations can analyze data and detect anomalies that could be impacting their operations. By using AI-based Computational Analysis, IT teams can gain real-time insights into performance issues that might have been overlooked with traditional manual processes. This allows them to take corrective action before an issue impacts customers or business operations. Additionally, AIOps helps reduce time spent on mundane administrative tasks so resources can be focused more efficiently on mission critical functions that require direct human oversight.
AIOps tools also provide predictive analytics capabilities which allow for better planning of future traffic patterns and resource usage strategies, helping companies allocate resources most cost-effectively yet balances the need for optimal service levels. Predictive analytics also allows IT teams to quickly spot potential problems before they become larger incidents that cause costly downtime or customer dissatisfaction. Further still, AIOps can monitor system status 24/7; thus providing earliest identification of any faults or service providers so users don’t experience a drop in quality over time due to network latency or possible application bugs or failures in connection points outside one's organization boundaries (cloud services etc.).
In summary, using an AIOops tool helps organizations streamline IT operations while reducing costs and maximizing agility while optimizing service delivery. It provides valuable predictive forecasting capabilities used across Hardware/Software monitoring platforms and networks that deliver improved results quicker than ever - enabling faster problem resolution with fewer resources required overall - resulting in less disruption of normal business activities as well increased return on investments from existing infrastructure investments.
AIOps Tools Features
- Automated Data Analysis: AIOps tools are designed to rapidly analyze large amounts of complex data. They combine machine learning, AI and Big Data technologies to identify patterns and anomalies in the data, allowing for faster identification of potential problems or opportunities for improvement.
- Event Correlation & Aggregation: AIOps tools are able to quickly correlate events across multiple systems and applications. This feature is useful for identifying root causes of incidents since it allows users to examine correlations between events that would otherwise take a much longer time to detect manually.
- Automated Alerts & Notifications: Automating the process of alerting IT teams when issues occur can be crucial in ensuring that they’re resolved as quickly as possible. AIOps solutions enable automated alerts and notifications so that IT staff can focus on resolving the underlying problem instead of tracking down the source of an issue themselves.
- Automation & Optimization: AIOps solutions enable automation and optimization of certain tasks, such as provisioning workloads on a cloud-based platform or scaling up resources in response to increased demand for services provided by an application platform or website. By automating these processes, administrators can spend less time managing systems and more time optimizing their use for better performance and user experience overall.
- Predictive Analytics: One great feature about modern-day AIOps tools is their ability to generate predictions about future events based on historical data analysis and statistical models generated from this analysis—allowing IT teams to stay one step ahead when it comes to anticipating potential issues without needing any manual intervention from its administrators.
Types of Users That Can Benefit From AIOps Tools
- Business Decision Makers: AIOps tools can provide high-level analytics and insights into IT operations, enabling business leaders to make better decisions and optimize system performance.
- Database Administrators: AIOps tools can help DBAs identify potential issues before they become a problem, allowing them to anticipate system performance issues before they impact end users.
- DevOps Professionals: By automating routine tasks, DevOps professionals have more time to focus on innovation and improvement of the overall IT infrastructure.
- Monitoring Teams: AIOps tools can help monitoring teams quickly detect changes in setup that may cause system outages or decreased performance.
- Enterprise Architects: AIOps tools enable enterprise architects to easily assess their current systems architecture without having to perform manual checks. This helps them quickly evaluate their existing solutions against best practice applications for scalability, security, and other factors.
- Support Teams: AIOCs provides support teams with real-time analysis of user activity which enables them to predict client requirements quickly as well as provide more accurate customer service tickets with fewer delays. It also allows for proactive troubleshooting of customer-facing problems before they escalate too far.
- Security Analysts: With predictive analytics capabilities, AIOCs enables security analysts to detect malicious activities or potential threats earlier than would be possible through manual checks alone. Additionally, it reduces false positives that often plague enterprise networks due to human error or complex environments which require specialized knowledge of security technologies and protocols.
How Much Do AIOps Tools Cost?
The cost of AIOps tools varies greatly and depends on several factors, such as the functionality and features offered by a particular tool. Generally speaking, costs can range from hundreds to thousands of dollars per month or even more depending on the vendor and scale of usage. Some vendors offer subscription-based pricing models, while others provide one-time license fees; in both cases, customers may need to purchase additional licenses if they require higher performance for their operations.
When considering the cost of an AIOps tool, it is important to think about potential savings in operational costs associated with improved efficiency from AI automation capabilities. For example, some tools may help organizations reduce labor costs by automating manual tasks or responding more quickly to service requests. In some cases, savings from reduced downtime could far outweigh any initial capital investment in new software technology. Additionally, many AIOps solutions come with dedicated support services that can help users leverage them for maximum efficiency and cost reduction over time.
Ultimately, each organization will need to look carefully at its specific needs before deciding how much an AIOps tool should cost them - but keeping these various considerations in mind can help ensure that organizations make an informed purchasing decision that best meets their unique circumstances and budget requirements.
Risk Associated With AIOps Tools
- Data privacy issues, as AI algorithms, process large sets of data in order to uncover insights. There is a risk of data breaches if there are security lapses.
- Incorrect decision-making by AI-driven automation, resulting in unexpected system failures or incorrect detections.
- Difficulty integrating legacy systems and processes into an AI-driven framework. As legacy systems may not be compatible with the AIOps platform, complex manual workarounds may need to be implemented in order to make them work together.
- High costs and time involved when implementing an AIOps platform due to complexity and training requirements.
- Potential bias in artificial intelligence analytics, meaning that decisions could be based on incorrect assumptions or prejudices unfolding from the underlying data sets used for analysis.
What Software Can Integrate with AIOps Tools?
AIOps tools can integrate with a variety of different types of software, such as IT service management (ITSM), application performance monitoring (APM), log management, user experience monitoring (UEM), cloud cost optimization, and security. By integrating all these tools into one platform, AIOps can provide predictive analytics to monitor system behavior in real time and detect anomalies, providing more efficient incident resolution. It also helps improve overall operations by enabling cost optimization, improved scalability and faster problem resolution times. As the technology advances, organizations are able to further streamline their operations through automation and optimize their IT infrastructure for better results.
What Are Some Questions To Ask When Considering AIOps Tools?
- How does this AIOps tool help improve my organization's performance and operations?
- What data sources does the tool integrate for monitoring, analysis and insights?
- Is the tool able to capture both structured and unstructured data?
- How quickly is it able to analyze large volumes of data?
- Does the tool provide automated alerts, notifications, or recommendations in response to data changes?
- Can it easily identify correlations between disparate datasets?
- Does the platform offer any advanced analytics capabilities such as machine learning or artificial intelligence?
- Does the AIOps solution have built-in security features that ensure data safety and privacy compliance?
- What kind of support services (e.g., training, technical advice) does it offer when onboarding a new customer or using its tools/features for existing customers?
- What are the scalability options available with this particular AIOps platform (e.g., cloud-based, on-premise)?