Alternatives to Soda

Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear and before anyone else is impacted. -Depth of Checks: Provides both foundational observability (automated checks for data freshness, volume, schema changes) and deep data quality monitoring (automated checks for data consistency and correctness). -Automation: Use unsupervised machine learning to automatically identify missing and anomalous data. -Easy for everyone, no-code UI: A user can generate a no-code check that calculates a metric, plots it over time, generates a time series model, sends intuitive alerts to tools like Slack, and returns a root cause analysis. -Intelligent Alerting: Incredibly powerful unsupervised machine learning intelligently readjusts time series models and uses automatic secondary checks to weed out false positives. -Time to Resolution: Automatically generates a root cause analysis that saves users time determining why an anomaly is occurring. Our triage feature orchestrates a resolution workflow and can integrate with many remediation steps, like ticketing systems. -In-VPC Development: Data never leaves the customer’s environment. Anomalo can be run entirely in-VPC for the utmost in privacy & security

Sematext Cloud provides all-in-one observability solutions for modern software-based businesses. It provides key insights into both front-end and back-end performance. Sematext includes infrastructure, synthetic monitoring, transaction tracking, log management, and real user & synthetic monitoring. Sematext provides full-stack visibility for businesses by quickly and easily exposing key performance issues through a single Cloud solution or On-Premise.

Spend more time creating great software than fighting it. Raygun, a cloud-based platform, provides error, crash and performance monitoring for web and mobile apps. Raygun's powerful suite allows teams to have complete visibility into issues their users face, and can provide code-level details into the root causes. Raygun's products cover three main areas: APM, Crash Reporting and Real User Monitoring. They are all fully integrated to each other to provide powerful insights unlike anything your team has ever experienced. Raygun allows you to see how your users actually use your software. You can quickly detect, diagnose, and fix performance issues faster.

Digna is a solution powered by AI that addresses the challenges of data quality management in modern times. It is domain agnostic and can be used in a variety of sectors, including finance and healthcare. Digna prioritizes privacy and ensures compliance with stringent regulations. It's also built to scale and grow with your data infrastructure. Digna is flexible enough to be installed on-premises or in the cloud, and it aligns with your organization's needs and security policies. Digna is at the forefront of data quality solutions. Its user-friendly design, combined with powerful AI analytics, makes Digna an ideal solution for businesses looking to improve data quality. Digna's seamless integration, real time monitoring, and adaptability make it more than just a tool. It is a partner on your journey to impeccable data quality.

There is nothing to install. Select a URL and select the type of alert that you wish to receive. Notifications will be sent immediately if your network or web performance is affected. A simple dashboard that displays the status of every website being monitored, lists all events, and allows you quickly to modify your account settings. Clear, real-time graphical reports show uptime, downtime, and crashes. To pinpoint the root cause of downtime and performance issues, you can select time and date parameters. You can see how your site is performing by looking at graphical reports that show the average response time for a specific time period. As an additional user, add service provider team members to your site. They will be notified of any dips in performance and connectivity issues and can help fix them.

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.

Arize's machine-learning observability platform automatically detects and diagnoses problems and improves models. Machine learning systems are essential for businesses and customers, but often fail to perform in real life. Arize is an end to-end platform for observing and solving issues in your AI models. Seamlessly enable observation for any model, on any platform, in any environment. SDKs that are lightweight for sending production, validation, or training data. You can link real-time ground truth with predictions, or delay. You can gain confidence in your models' performance once they are deployed. Identify and prevent any performance or prediction drift issues, as well as quality issues, before they become serious. Even the most complex models can be reduced in time to resolution (MTTR). Flexible, easy-to use tools for root cause analysis are available.

Expertune PlantTriage, a PID tuning software that has won numerous awards, was developed by a team of people with hundreds of years of experience in controls. It continuously monitors your plants to detect any issues. Expertune PlantTriage prioritizes information based on economic and technical factors. It helps to identify the root cause of problems and provides a complete set analysis tools to solve the problem. Monitor - Expertune PlantTriage monitors your processes 24 hours per day, 365 days per year. It detects problems as they arise in real-time Prioritize - Quickly identify loops that have the greatest impact on your business' profitability, production, reliability, quality, and profitability. Diagnose - The root cause finder uses Big Data to quickly identify the root cause for upsets Resolve – Active Model Capture Technology allows control loops to be automatically tuned to achieve the best performance. It simulates the exact response profile that you desire and finds the best tuning in minutes.

Data-driven organizations are constantly striving to become more data-driven. They build dashboards, analytics and data pipelines throughout the modern data stack. Unfortunately, data reliability issues are a major problem for most organizations, leading to poor decisions and a lack of trust in the data as an organisation, which directly impacts their bottom line. Resolving complex issues is a time-consuming and manual process that involves multiple teams, all of whom rely on tribal knowledge. They manually reverse-engineer complex data pipelines across various platforms to identify the root-cause and to understand the impact. Pantomath, a data pipeline traceability and observability platform, automates data operations. It continuously monitors datasets across the enterprise data ecosystem, providing context to complex data pipes by creating automated cross platform technical pipeline lineage.

Opster's AutoOps platform optimizes mapping, stabilizes operations, and improves resource utilization to reduce hardware costs and improve performance. Orchestration, management capabilities, and ticket-based support are not enough. AutoOps provides all the support you need, in real time. AutoOps can diagnose issues in all aspects of Elasticsearch operations. The system provides precise root cause analysis and also helps to resolve the problem. AutoOps can perform advanced optimizations, such as shard rebalancing and blocking heavy searches. It can also optimize templates. These optimizations will ensure your cluster operates at its peak performance and maximum resilience. Opster's AutoOps platform enables customers to dramatically reduce the hardware required for their deployment by optimizing mapping, stabilizing operations, and improving resource utilization.

OTT Operations hub to monitor performance at scale and improve QoS. The unique CDN data-sharing relationships between Touchstream and CDN allow for the quick identification of root causes. VirtualNOC, an end-to-end monitoring system, collects data from all video delivery chains and monitors them 24/7. This allows operators to see issues clearly and take immediate action before they impact viewers. Direct data sharing with CDNs in real-time eliminates disagreements with technology providers. Keep everyone focused on the problem and work together to solve it as quickly and efficiently as possible. VirtualNOC, a cloud-based service that allows you to work from anywhere via an internet connection, is available for all users. Your operations team will have the visibility they need to manage complex workflows, no matter where they may be. To improve long-term QoS, you can replay errors from the past and identify root causes. Your operators will have full visibility into their workflow, reducing error margins.

Reduce false positives by using machine learning (ML), to detect anomalies in business metrics. Grouping outliers that are similar can help you identify the root cause of any anomalies. Summarize root causes, and rank them according to severity. Integrate AWS databases, storage services and third-party SaaS apps seamlessly to monitor metrics and detect anomalies. Automate the sending of customized alerts and taking appropriate actions when anomalies are detected. Automatically detect anomalies in metrics and identify their root causes. Lookout for Metrics uses ML for diagnosing and detecting anomalies in business and operational data. It is difficult to detect unexpected anomalies using traditional methods that are manual and error-prone. Lookout for Metrics uses ML without the need for any artificial intelligence (AI). You can identify unusual variances in subscriptions and conversion rates so you can keep up with sudden changes.

With full-stack visibility and prebuilt analytics, you can monitor, analyze, and manage multicloud applications and infrastructure environments. Automation is possible with Oracle Cloud Observability Management Platform. You have complete visibility through infrastructure monitoring, real user experience and distributed tracing. You can quickly monitor and troubleshoot problems faster using interactive, intuitive dashboards that analyze data from any source. Unified monitoring, capacity planning and database administration capabilities for both on-premises as well as cloud databases. Terraform-based automation allows you to deploy and manage Oracle Cloud resources. You can also manage data exchanges. App performance visibility is achieved through real user experience, synthetic monitoring and distributed tracing. Unified database monitoring and administration capabilities, both for cloud and on-premise databases. You can easily review log data and diagnose issues.

Scalable, self-managed applications that are resilient and self-managed can be achieved by combining observability and automated orchestration. Monitoring and observability tools generate huge volumes of data every second. They capture metrics, logs and traces on all aspects of dynamic, complex applications. It's up to humans to make sense of and troubleshoot all this data. They are stuck in a never-ending loop of responding to alerts and identifying root causes before deciding the best course of action. The process hasn’t changed much in decades and is still labor-intensive and reactive. Causely eliminates the need for manual troubleshooting, by capturing causality within software. This closes the gap between observability to action. For the first time ever, the entire lifecycle for detecting, root cause analysis and remediation of application defects is fully automated. Causely identifies and resolves defects in real-time so that applications can scale at high performance.

Measure and improve the technology experience of your employees. Make it easy for employees to self-solve problems and engage with IT if extra support is required. Use the data that ServiceNow already has to complement the information collected by your end users through their apps and devices. Digital End-User Experience is built on the Now Platform®, which is a single system for action in the enterprise. Connect your employees to self-service tools that will allow them to quickly diagnose and resolve IT issues. Simplify IT communications. Now Platform®, the cloud-based application platform that all ServiceNow products are built on, is the only one. Automate, simplify and connect work across your enterprise to move forward.

A single pane of glass provides end-to-end visibility into network and application performance. LiveNX – Enterprise Network Monitoring Software Platform: Get complete visibility across the entire network - branch, campus, data center and public Cloud, WAN, SD-WAN, and WAN. You can be confident that your network meets your business objectives and that it is cost-effectively operating. Fully scalable and customizable network monitoring solutions can optimize IT network management. Superior user experience through insights into the network infrastructure, policies, protocols, and policies that enable the delivery of critical applications. You can see the true performance of applications across multiple network segments, domains, or fabrics. You can see the real-time effects of network issues on application delivery and performance. Effectively diagnosing and resolving performance issues in applications can reduce MTTR.

Network Performance Monitor (NPM), by SolarWinds, provides advanced network troubleshooting using critical path hops-by-hop analysis for hybrid, on-premises, and cloud services. This modern network monitoring software is powerful and affordable. It allows IT organizations to quickly identify, diagnose, and fix network outages and problems, improving their network performance. SolarWinds Network Performance Monitor features include a performance analysis dashboard, NetPath critical paths visualization, intelligent alerts, multi-vendor network monitoring and Network Insights for Cisco ASA.

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

Network Watcher allows you to monitor and diagnose network issues without having to log in to your virtual machine (VM). Set alerts to trigger packet capture and access real-time performance data at the packet level. You can dig deeper into an issue to make a better diagnosis. Use virtual network flow logging and network security group flow logging to gain a better understanding of your network traffic patterns. Flow logs provide data that you can use for compliance, auditing, and monitoring of your network security profile. Network Watcher allows you to diagnose the most common VPN gateway issues and connection problems. You can not only identify the problem but also use the detailed logs to further investigate.

You can innovate faster in the cloud, improve user experience and future-proof applications. Splunk is designed for cloud-native enterprises and helps you solve current problems. Splunk helps you detect any problem before it becomes a customer problem. Our AI-driven Directed Problemshooting reduces MTTR. Flexible, open-source instrumentation eliminates lock-in. Optimize performance by seeing all of your application and using AI-driven analytics. You must observe everything in order to deliver an excellent end-user experience. NoSample™, full-fidelity trace ingestion allows you to leverage all your trace data and identify any anomalies. Directed Troubleshooting reduces MTTR to quickly identify service dependencies, correlations with the underlying infrastructure, and root-cause errors mapping. You can break down and examine any transaction by any dimension or metric. You can quickly and easily see how your application behaves in different regions, hosts or versions.

Real-time insight allows for full visibility and analysis, optimization of operations, enhanced security, and enhanced customer journeys across payments transactions, applications, infrastructure. Real-time, actionable insights provide real-time insight into the transaction flow and system performance. High uptime, successful deployments and easy integrations will help you exceed customer expectations and increase retention. With dynamic thresholds and customizable alerts, you can quickly troubleshoot and fix performance issues so they don't impact customers. Quickly identify and fix performance problems. You can monitor your transactions in real time and get feedback through dynamic alerting and proactive monitoring. You can prevent customers from being affected by problems by addressing the root causes. From one view, drill down to queue status, transaction volumes, bottlenecks, and more. Transform complex data into intelligence to uncover amazing insights

With the increase in mobile workforce, IT departments now have to provide remote support for employees across multiple locations. Remote Access connects teams. Remote Access allows you to easily deploy software updates, diagnose and solve IT problems, and collaborate with colleagues.

Put AI in your engineers' hands to automatically detect, investigate & resolve quality problems, months faster. AI with high precision automatically catches issues and contextualizes them as soon as trends are detected by your customers. Your team can solve complex problems without having to spend hours manually analyzing text or disconnected data. Your team can gain visibility, collaborate across departments and geographical regions to understand the full scope and impact of an emerging problem. Your team can focus on identifying and implementing countermeasures for increased customer satisfaction and profitability by utilizing automatic issue detection and priority.

Instrumental is trusted by engineering teams to expedite product delivery and reduce quality issues. Instrumental provides AI-powered proactive defect detection, end-to–end failure analysis tools and remote build monitoring all within a single cloud platform. Instrumental provides a single, unified data record that can be traced back to identify and resolve issues right from the beginning of your EVT builds. Unify your product data and use AI to solve previously unsolvable problems. Instrumental unifies product data to provide the information you need when and where you want it. This allows you to quickly find and fix problems. Industrial AI automatically ranks and ranks every defect. This speeds up failure analysis and keeps your builds on the right track. With the right data, faster issue resolution begins. Instrumental provides a complete product record, including photos, parametric tests, and measurements, right at your fingertips.

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.

You can empower teams by routing alerts the right people to facilitate fast collaboration and issue resolution. You can reduce the time it takes to resolve incidents by delivering the right alerts to people. ChatOps integration with your existing tools, incident timelines, and reporting for post-incident reviews are all part of the complete ChatOps experience. Engage people wherever they work. Mobile-first experiences use machine learning to make it easy to get on-call wherever you are. Splunk OnCall automates incident handling, reducing alert fatigue, and increasing uptime. Splunk OnCall streamlines your on-call schedules, escalation policies, and more We automate everything, from rotations to overrides. Our software captures all the necessary remediation data and provides contextual alert information.

Gisual provides outage intelligence to telecoms and service providers. No more manually diagnosing commercial power outages and correlating them with complaining customers, or other issues with down networks. Gisual's outage alerts will notify you when third-party outages affect your equipment or customers. In seconds, you can diagnose and correlate outages. Don't waste time looking for information to diagnose root causes. Situational awareness is available in seconds. You can view any 3rd party outages on an interactive map or integrate our outage feed into your existing systems. Connect directly to the NOCs and partners you trust. Get real-time information about outages, including updates on restoration times, root cause, affected area, and exact customers that were affected. Easy integration of Gisual's data in your organization. Integration takes on average 1 hour.

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.

Weave Cloud is an automation platform and management platform that supports development and DevOps teams. Built-in GitOps workflows provide the foundation for increased development velocity through continuous delivery, and greater reliability through observability. Weave Cloud reduces the complexity of operating Kubernetes clusters by automating continuous delivery pipelines, observability and Prometheus monitoring. Developers and operators can ship faster with version-controlled continuous deliveries thanks to our developer-centric approach to operations. You can run efficiently with full-stack visibility through workload dashboards, alerts, and performance monitoring. Troubleshooting dashboards make it easy to diagnose application performance issues in real time. Use the developer tools that you are familiar with to operate confidently. DevOps and development teams can create automated pipelines with built-in GitOps workflows. It works by using Git to be the single source of truth for declarative applications and infrastructure.

Our easy-to-use monitor builder allows you to create customized monitors for your machinelearning models. Get alerts for issues such as concept drift, model performance degradation and bias. Aporia can seamlessly integrate with any ML infrastructure. It doesn't matter if it's a FastAPI server built on top of Kubernetes or an open-source deployment tool such as MLFlow, or a machine-learning platform like AWS Sagemaker. Zoom in on specific data segments to track the model's behavior. Unexpected biases, underperformance, drifting characteristics, and data integrity issues can be identified. You need the right tools to quickly identify the root cause of problems in your ML models. Our investigation toolbox allows you to go deeper than model monitoring and take a deep look at model performance, data segments or distribution.

Most customers today expect that organizations will offer a self-service experience as part of the customer experience. A solid knowledge management system is the key to a positive, highly effective self service experience. Knowledge Management ensures that the content available via self-service channels are well-written and well-organized, and contain the right information delivered to the correct parties at the right time across all channels and touchpoints. A knowledge management system that is optimized can make self-service channels more effective, reduce the time it takes to resolve issues and create a rewarding customer experience. Data analytics can be used to diagnose and address usability in order to improve self-service processes and the customer experience. By redirecting real-time interactions towards relevant sources of information, transactional support costs can be reduced from dollars to pennies.

RTEAM is a powerful, user-managed tool that allows you to create exceptions and alerts in real time. Alerts are real-time notifications of issues that require immediate action in the field, operations, or dispatch. Exceptions can be captured in real-time to be reviewed and analysed. A workflow process allows for the timely collection of information, improving the quality and accuracy of the data required for root cause analysis. The metrics that can be used to identify training opportunities include response time, turnaround time and chute time. An easy-to-use workflow allows you to monitor exceptions and assign a reason code. The collective results can be used to determine the root cause of the problem and to recommend a course.

AWS Personal Health Dashboard provides technology and tools to monitor, manage and optimize your AWS environment. AWS Personal Health Dashboard offers alerts and guidance for remediation when AWS experiences events that could impact you. The Service Health Dashboard shows the general status of AWS services. However, the Personal Health Dashboard provides a customized view of the performance and availability for the AWS services that underpin your AWS resources. The dashboard provides timely and relevant information to help manage events in progress and proactive notification to help plan for planned activities. Personal Health Dashboard alerts are triggered when AWS resources become unwell. This gives you visibility into the event and provides guidance to quickly diagnose and fix problems. AWS Personal Health Dashboard allows you to set permissions based upon event metadata.

Shift Left allows you to shift incident resolution earlier in your support cycle. Allow L1, L2, field support, and L3 techs to view and take action on common user and devices support issues without having to leave the ServiceNow incident form. By removing the requirement for privileged access to disparate systems such as Active Directory and Microsoft Configuration Manager (MCM), LAPS, MBAM and others, you can increase first-call resolution. Shift Left allows your help desk to resolve issues without escalating them beyond the support desk. This includes the ability to reset passwords, unlock account, view logged in devices, and more. Diagnose and resolve more tickets in the first call without leaving ServiceNow's incident form. Save time by identifying troubleshooting procedures already completed for an issue.

Plutoshift's Operational Data Platform, (ODP), provides automated performance monitoring and predictive analytics for physical infrastructure. This helps to improve efficiency, reduce waste, and build more resilient, sustainable businesses. The most difficult part of delivering value is often extracting and processing raw data. Plutoshift can ingest, process, and curate all your business and third-party data to create a foundation for insights. We automate and manage the entire data pipeline without additional IT resources. Plutoshift gives organizations a continuous view of their operations at every level, including site, enterprise, and workflow. Operators can see trends and key performance indicators for each process and asset. Teams can quickly identify and fix problems with configurable alerts, response tracking and contextual reports.

No machine learning knowledge is needed to embed AI-powered monitoring tools. Azure AI Metrics Advisor is a part Azure AI Services that allows you to monitor the performance of your company's growth engines. This includes sales revenue, manufacturing operations and more. You can quickly identify and fix issues with a powerful combination that combines monitoring in near real time, adapting the models to your scenario and providing granular analysis, diagnostics, and alerting. AI Metrics advisor interface allows for end-to-end data monitoring management. It integrates with popular time-series database and supports stream monitoring. All dimension combinations are analyzed in order to pinpoint the affected areas and send alerts. You can customize the service according to your needs with a guided autotuning.

Only a small subset of the millions of vulnerabilities found in the cloud can be exploited for real-world attacks. To secure the cloud, it is crucial to identify this subset. Even the most dedicated teams will reach their limits. The presence of a security vulnerability on an asset that is externally exposed or in the KEV Database does not make it critical. You can seamlessly integrate your cloud environment and get a clear view of your security landscape within minutes. Our analysis of attack chains will help you to know exactly where to focus your attention. Averlon performs a detailed graph analysis of your cloud, including assets, network connections and access policies. Focus on assets and problems that pose the greatest risk. Averlon continuously monitors and identifies real-world threats. Averlon accelerates the mean-time-to-remediate by reducing alerts into root causes and suggesting precise fixes.

Platform for developing use-case specific solutions powered by cloud native AI powered Decision Automation platform. Incedo LighthouseTM harnesses AI's power in a low-code environment to deliver action recommendations and insights every day by leveraging the superfast Big Data capabilities. Incedo LighthouseTM allows you to increase your revenue potential by optimizing customer experiences, and delivering hyper-personalized recommendation. Our AI- and ML-driven models allow personalization throughout the customer lifecycle. Incedo LighthouseTM can help you reduce costs by speeding the process of problem discovery, insight generation, and execution of targeted actions. Our ML-driven metric monitoring and root cause analysis models power the platform. Incedo LighthouseTM monitors data quality and uses AI/ML to resolve some quality issues. This improves trust in data.

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.

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

Diagnose and resolve service issues quickly, accurately, and more profitably. Neuron7's AI predicts issue categories and resolution steps to help your newest team members perform as well as experienced call center agents and field service technicians. Deflect calls, increase first time resolutions, and reduce parts wastage while capturing expert knowledge. Neuron7's AI continually learns to find the best resolution paths and guide people to success quickly, despite having 1000s of agents and 1000s product configurations.

The TrustLogix Cloud Data Security Platform eliminates silos between data owners and consumers, security owners and data owners. It also simplifies data access management and compliance. Cloud data access issues and risk can be discovered in 30 minutes without having to see the data. Deploy finely-grained attribute based access control policies (ABAC) or role-based control policies (RBAC) to centrally manage data security postures across all cloud and data platforms. TrustLogix continuously monitors new risks and noncompliance, such as suspicious activities, over-privileged account, ghost accounts, new dark data, or data sprawl. It alerts you and empowers you to take action quickly. Alerts can also be sent to SIEM systems and other GRC solutions.

SQL Detecta is a comprehensive monitoring and diagnostic solution for your SQL Server environment. Protect your environment by gaining a deep understanding of your SQL instances and identifying potential problems early. It's easy to install and use. You can even customize alerts! The Detecta SQL Server monitoring tool replaces custom monitoring scripts. We take away the hassle and time involved in creating and maintaining custom scripts. Detecta provides a comprehensive solution for monitoring the operations of your SQL Server environment. Learn more here

Organizations can solve problems faster by investing in an observability platform that unifies insights, data, and actions across IT. They can also eliminate alert fatigue, resource-intensive war rooms, silos, and resource-intensive warrooms. Alluvio IQ unified observability enables quick, effective decision-making across IT and business. It codifies expert troubleshooting knowledge so that junior staff can achieve higher-level resolutions. This facilitates digital innovation and continually improves the digital experience for customers as well as employees. Broad-based Telemetry provides a unified view and insight of performance, which is the foundation for unified observability. Alluvio IQ’s approach to unified observability starts with full-fidelity telemetry - across network and infrastructure, and including end-user experiences metrics.

Openlayer will accept your data and models. Work with the team to align performance and quality expectations. You can quickly identify the reasons behind failed goals and find a solution. You have all the information you need to diagnose problems. Retrain the model by generating more data that looks similar to the subpopulation. Test new commits in relation to your goals, so that you can ensure a systematic progress without regressions. Compare versions side by side to make informed decisions. Ship with confidence. Save time on engineering by quickly determining what drives model performance. Find the quickest ways to improve your model. Focus on cultivating high quality and representative datasets and knowing the exact data required to boost model performance.

Protect your website elements for compliance and quality. Fully automated tests save time for developers and quality management. Continuous test coverage and real-time alerts, including full KPI history. Crawler-based testing allows for website testing at the user layer. Quick configuration of complex issues allows you to control a permanent monitoring and testing setup for resilient quality. Investigate and solve the root causes for technical website issues. Auditing incidents is made easier with the full data drill-down of failed tests. The automated SEO monitoring also includes all Audisto crawler functions. This allows you to see errors in context, and follow problems from alerts to extensive technical analyses.

Our Mission To assist hospital systems in maximizing their investment in Cerner®, Millennium™. Our Vision To provide innovative solutions for complex problems. We combine industry knowledge and software to solve complex problems. This allows us to achieve greater results than either of them can on their own.

Enterprise observability for all of your teams at scale Traditional tools only detect simple threshold-based anomalies. This makes it difficult to distinguish between real issues and false alarms. VMware Tanzu Observability from Wavefront allows you to create smart alerts that dynamically filter out noise and capture true anomalies. It is difficult to troubleshoot distributed cloud applications because of many moving parts, dependencies on other applications, and frequent code changes. Wavefront tracks all metrics from your cloud applications, infrastructure, and clouds. It can be difficult to find the right needle when dealing with thousands of metrics from containerized microservices and distributed cloud applications. AI Genie™, which automatically identifies "unknown unknowns", allows you to quickly find the root cause of an incident - isolate applications, infrastructure, and cloud.

BindPlane is a unique IT operations data management platform which can deliver a relationship-aware stream real-time logs and metrics. This is the best way to ensure that your performance monitoring platform always has the most accurate data across your entire stack. All your stack data in one place. More than 150 high-fidelity technology connections for apps, infrastructure, and cloud resources are instantly connectable to your favorite monitoring software. Dimensional data can help you identify the root cause of performance problems up to 33% quicker than traditional methods. It allows you to see the inter and intra relationships among different layers of your IT stack. Get immediate insight using our best-practice-based KPIs, data visualizations, and other tools. Share full-stack dashboards and standardize deployment automation using rich APIs. Access to the most popular enterprise technologies and a constantly updated library of plugins will improve analytics accuracy.

Kensu monitors data usage throughout the day in real-time. This allows your team to prevent data incidents. It is important to understand how you use your data, not just the data. A single comprehensive view allows you to analyze data quality and lineage. Real-time insight into data usage across all of your systems, projects, or applications. Instead of relying on ever-increasing numbers of repositories, monitor data flow. With catalogs, glossaries and incident management systems, share lineages, schemas, and quality information. To prevent data catastrophes from spreading, identify the root causes of complex data issues at a glance. You can generate notifications about specific data events and their context. Learn how data was collected, copied, and modified by any application. Analyze historical data information to detect anomalies. Use historical data information and leverage lineage to determine the cause.