Alternatives to Causely

Epsagon allows teams to instantly visualize, understand, and optimize their microservice architectures. With our unique lightweight auto-instrumentation, gaps in data and manual work associated with other APM solutions are eliminated, providing significant reductions in issue detection, root cause analysis and resolution times. Epsagon can increase development speed and reduce application downtime.

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.

Komodor simplifies the troubleshooting process for Kubernetes, equipping you with all the essential tools to resolve issues confidently. It oversees your entire Kubernetes ecosystem, detects problems, reveals their underlying causes, and provides the necessary context for effective and independent troubleshooting. The platform automatically identifies anomalies, deployment failures, misconfigurations, bottlenecks, and various health-related issues. It enables you to recognize potential problems before they escalate and impact end-users. By utilizing pre-designed playbooks, you can enhance root cause analysis, avoid disruptive escalations, and conserve valuable developer time. Moreover, it offers clear remediation guidance that empowers every team member to act like a seasoned troubleshooting expert, fostering a more resilient operational environment. This proactive approach not only enhances team efficiency but also significantly improves overall system reliability.

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

Safeguard business service-level agreements by utilizing dashboards that enable monitoring of service health, troubleshooting alerts, and conducting root cause analyses. Enhance mean time to resolution (MTTR) through real-time event correlation, automated incident prioritization, and seamless integrations with IT service management (ITSM) and orchestration tools. Leverage advanced analytics, including anomaly detection, adaptive thresholding, and predictive health scoring, to keep an eye on key performance indicators (KPIs) and proactively avert potential issues up to 30 minutes ahead of time. Track performance in alignment with business operations through ready-made dashboards that not only display service health but also visually link services to their underlying infrastructure. Employ side-by-side comparisons of various services while correlating metrics over time to uncover root causes effectively. Utilize machine learning algorithms alongside historical service health scores to forecast future incidents accurately. Implement adaptive thresholding and anomaly detection techniques that automatically refine rules based on previously observed behaviors, ensuring that your alerts remain relevant and timely. This continuous monitoring and adjustment of thresholds can significantly enhance operational efficiency.

Traversal is an innovative AI-driven Site Reliability Engineering (SRE) solution that functions round the clock, autonomously identifying, addressing, and even preventing production issues. It meticulously analyzes logs, metrics, traces, and your codebase to pinpoint the root causes of errors or delays, quickly highlighting the impacted areas, critical bottleneck services, and potential root causes with relevant evidence in a matter of minutes. Leveraging advancements in causal machine learning, reasoning from large language models, and intelligent AI agents, Traversal proactively resolves problems before alerts are triggered, ensuring seamless operations. Tailored for complex organizations and vital infrastructure, it accommodates diverse data types, supports bring-your-own models, and offers optional on-premises deployment for added flexibility. With its straightforward integration into existing systems requiring only read-only access—without the need for agents, sidecars, or any write operations to production—Traversal guarantees data privacy and control. By effortlessly fitting into your observability framework, it not only accelerates the resolution process but also significantly reduces downtime, further enhancing operational efficiency and reliability. Furthermore, its ability to adapt to various environments makes it a versatile asset for businesses striving for uninterrupted service delivery.

Longbow streamlines the evaluation and correlation of challenges identified by Application Security Testing (AST) tools, effectively bridging the divide between security personnel and remediation teams while suggesting optimal actions to minimize risk with minimal investment. Positioned at the cutting edge of automating the assessment and prioritization of security vulnerabilities and remediations, Longbow extends its capabilities beyond AST tools to encompass VM, CNAPP tools, and beyond. Our platform is adept at pinpointing and addressing the fundamental sources of security vulnerabilities, delivering customized remediation options that can be promptly implemented. This functionality is essential in a landscape overwhelmed by various vendor solutions and an unclear roadmap for tackling security issues. By empowering security, application, and DevOps teams, our product enhances their ability to address risks efficiently on a larger scale. Furthermore, we integrate, normalize, and consolidate cross-service contexts across all your cloud security tools, ensuring a cohesive approach to security management. This holistic strategy not only enhances operational efficiency but also fosters a more resilient security posture.

Small Hours serves as an AI-driven observability platform designed to diagnose server exceptions, evaluate their impact, and direct them to the appropriate personnel or team. You can utilize Markdown or your current runbook to assist our tool in troubleshooting various issues effectively. We offer seamless integration with any stack through OpenTelemetry support. You can connect to your existing alerts to pinpoint critical problems swiftly. By linking your codebases and runbooks, you can provide necessary context and instructions for smoother operations. Rest assured, your code and data remain secure and are never stored. The platform intelligently categorizes issues and can even generate pull requests as needed. It is specifically optimized for enterprise-scale performance and speed. With our 24/7 automated root cause analysis, you can significantly reduce downtime while maximizing operational efficiency, ensuring your systems run smoothly at all times.

BMC Helix Operations Management serves as a comprehensive, cloud-native solution for observability and AIOps, specifically engineered to address the complexities of hybrid-cloud environments. Adopting a service-oriented perspective towards observability data is crucial for achieving effective AIOps results. It facilitates the integration of third-party observability inputs, including metrics, events, logs, incidents, changes, and topologies, into a unified IT data repository. This enables users to monitor service health and enhances the capacity for pinpointing root causes through automatically generated dynamic business service models. The AI-driven features improve the signal-to-noise ratio by employing event suppression, de-duplication, and correlation, all aimed at generating actionable insights. Users can quickly identify root causes with AI probability assignments to key causal nodes based on comprehensive data and service models. Additionally, the platform aids in preventing future incidents through proactive Business Service Health monitoring and AI-driven outage predictions. Troubleshooting is expedited via enriched logs and advanced analytics, while users can conveniently request and implement automations through BMC or other third-party tools, making management seamless and efficient. Ultimately, this solution empowers organizations to enhance their operational resilience and streamline management processes.

Deductive AI is an innovative platform that transforms the way organizations address intricate system failures. By seamlessly integrating your entire codebase with telemetry data, which includes metrics, events, logs, and traces, it enables teams to identify the root causes of problems with remarkable speed and accuracy. This platform simplifies the debugging process, significantly minimizing downtime and enhancing overall system dependability. With its ability to integrate with your codebase and existing observability tools, Deductive AI constructs a comprehensive knowledge graph that is driven by a code-aware reasoning engine, effectively diagnosing root issues similar to a seasoned engineer. It rapidly generates a knowledge graph containing millions of nodes, revealing intricate connections between the codebase and telemetry data. Furthermore, it orchestrates numerous specialized AI agents to meticulously search for, uncover, and analyze the subtle indicators of root causes dispersed across all linked sources, ensuring a thorough investigative process. This level of automation not only accelerates troubleshooting but also empowers teams to maintain higher system performance and reliability.

StackPilot is a next-generation incident response solution designed to reduce engineering toil and accelerate bug resolution. Acting as an AI-powered copilot, it plugs into your monitoring and logging ecosystem to immediately act on alerts. When issues occur, StackPilot cross-references code commits, stack traces, and system data to identify root causes with precision. It then auto-generates a pull request containing a recommended fix, saving engineers countless hours of manual debugging. Beyond incident resolution, the platform builds real-time incident timelines and turns troubleshooting steps into standardized runbooks for future use. Setup takes just minutes, requiring only a GitHub and monitoring tool connection. The platform is built with privacy-first principles—your data never leaves your environment and is not used for AI training. Teams using StackPilot benefit from reduced mean time to resolution (MTTR), stronger reliability, and higher developer productivity.

Empower your teams to take initiative in recognizing potential risks by enhancing the incident reporting process and offering a real-time overview of safety throughout the organization. Scout enables all employees, including those who do not have user accounts, to report injuries, incidents, near misses, and safety observations from any device they choose. To facilitate this, dedicated QR codes can be placed on posters or stickers for easy access to reporting. After incidents are reported, safety leaders can work together on investigations and conduct Root Cause Analysis (RCA) activities. Scout’s innovative data exploration tools shift incident management from a reactive stance to a proactive approach. This allows safety leaders to analyze trends, identify troubling areas, and disseminate insights across various locations. Additionally, site leaders can efficiently meet OSHA Recordkeeping requirements while generating essential reports like 300, 300a, and others. Through email notifications and time-stamped event logs, Scout ensures that accountability and transparency are upheld at every level of the organization. Ultimately, this comprehensive approach fosters a culture of safety and vigilance among all team members.

Revolutionizing observability brings context and performance into a unified space, suitable for any stack and scale. Achieve thorough end-to-end visibility by effortlessly monitoring applications, infrastructure, databases, and more from a single, user-friendly dashboard. With just a few clicks, trace and analyze digital journeys seamlessly from browsers and applications to the infrastructure layer. Discover invaluable insights into user experiences, identify where dropouts occur, and highlight critical aspects of business transactions through in-depth user analytics and real user monitoring (RUM). This allows for quick adaptation, optimization, and innovation powered by real-time visibility and swift root-cause analysis. Additionally, our dedicated team of experts is available 24/7, 365 days a year, ensuring you receive prompt assistance and tailored support for your unique requirements, which further enhances your operational efficiency. The combination of these features empowers businesses to stay ahead in a rapidly evolving digital landscape.

You can quickly and easily examine machine data to identify the root cause of IT problems faster. Log aggregation, filtering, filtering, alerting, and tagging are all part of this intuitive and powerfully designed system. Integrated with Orion Platform products, it allows for a single view of IT infrastructure monitoring logs. Because we have experience as network and system engineers, we can help you solve your problems. Log data is generated by your infrastructure to provide performance insight. Log Analyzer log monitoring tools allow you to collect, consolidate, analyze, and combine thousands of Windows, syslog, traps and VMware events. This will enable you to do root-cause analysis. Basic matching is used to perform searches. You can perform searches using multiple search criteria. Filter your results to narrow down the results. Log monitoring software allows you to save, schedule, export, and export search results.

Protect your cloud-native runtime environments against external threats, misconfigurations, and insider risks. By leveraging eBPF technology, Spyderbat generates a comprehensive map of activities across cloud systems and containers, illustrating their causal connections. This CausalContext map enables Spyderbat to identify workload behaviors, enforce security protocols, prevent attacks without relying on signatures, and deliver instant insights into root causes. The A3C Engine from Spyderbat efficiently compiles data into a visual representation that highlights these causal relationships for both real-time analysis and historical reference. Moreover, it automatically generates behavior fingerprints of workloads, transforming them into actionable policies that can alert or even obstruct anomalous behaviors, ensuring robust security measures. This proactive approach enhances overall cloud security and provides organizations with the tools to respond effectively to emerging threats.

InsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved.

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.

With ServerInternals, users have immediate access to all critical information, facilitating swift diagnostics that lead directly to identifying the underlying issues and implementing appropriate solutions. There's no longer a necessity to utilize Performance Monitor and ponder which counter values to gather, nor to check Services for failures, or to delve into Event Viewer and create intricate filters to sift through extraneous data. Additionally, connecting to the server to examine CPU usage, memory consumption, and running processes via Task Manager is rendered unnecessary. The integration of performance metrics, event logs, service statuses, and process details, paired with intuitive drill-down navigation, ensures a streamlined and effective root-cause analysis of any issues that arise. If needed, corrective measures can be executed straight from the ServerInternals interface. The use of color-coded status indicators, gauges, charts, and lists allows for a comprehensive presentation of a wide array of information, enhancing user experience and operational efficiency. This holistic approach not only saves time but also empowers users to manage server performance proactively.

Luciq is an advanced mobile observability platform powered by AI, tailored for app developers and enterprises, enabling them to effectively monitor, diagnose, and enhance mobile applications with ease. This comprehensive solution integrates bug reporting, crash analytics, session replay, and performance monitoring within a single SDK that accommodates Android, iOS, web, and hybrid applications. Users can collect extensive device logs, network traces, annotated screenshots, videos, and user feedback, while machine learning automatically correlates events and errors to prioritize issues based on their impact. By offering developers insights into user sessions where problems occurred, they can replicate defects through replay and expedite issue resolution via integrations with tools like JIRA, Slack, Zapier, and Zendesk. Luciq's “Agentic Mobile Observability” methodology not only highlights the most pressing issues but also identifies potential root causes and suggests remediation strategies, empowering teams to boost their efficiency, enhance application stability, and improve the overall user experience. Ultimately, this platform transforms the way teams approach mobile app development and maintenance, ensuring they stay ahead of potential challenges.

Achieve flexible resource management through the implementation of automation guided by standardized policies for data center operations. By ensuring consistent policy administration across various on-premises and cloud environments, you can enhance security, governance, and compliance. This approach guarantees business continuity, effective disaster recovery, and secure networking under a zero-trust security framework. Moreover, it transforms Day 2 operations into a proactive model that automates troubleshooting, root-cause analysis, and remediation tasks. This not only optimizes performance but also allows for single-click access to facilitate automation and centralized control. Extend your on-premises ACI networks seamlessly to remote sites, bare-metal clouds, and colocation facilities without the need for additional hardware. Cisco's Multi-Site Orchestrator plays a crucial role by offering provisioning, health monitoring, and management of Cisco ACI networking policies, among other functionalities. This comprehensive solution streamlines network connectivity, maintains uniform policy management, and simplifies operations across various multicloud settings, ultimately enhancing operational efficiency and scalability for enterprises.

Calico Enterprise offers a comprehensive security platform designed for full-stack observability specifically tailored for containers and Kubernetes environments. As the sole active security solution in the industry that integrates this capability, Calico Enterprise leverages Kubernetes' declarative approach to define security and observability as code, ensuring that security policies are consistently enforced and compliance is maintained. This platform also enhances troubleshooting capabilities across various deployments, including multi-cluster, multi-cloud, and hybrid architectures. Furthermore, it facilitates the implementation of zero-trust workload access controls that regulate traffic to and from individual pods, bolstering the security of your Kubernetes cluster. Users can also create DNS policies that enforce precise access controls between workloads and the external services they require, such as Amazon RDS and ElastiCache, thereby enhancing the overall security posture of the environment. In addition, this proactive approach allows organizations to adapt quickly to changing security requirements while maintaining seamless connectivity.

RTEAM is an innovative real-time platform that empowers users to effectively set up alerts and manage exceptions. The alerts serve as instant notifications for urgent issues that require prompt action across various sectors like fieldwork, operations, and dispatch. Simultaneously, exceptions are recorded in real time for subsequent review and analysis. The platform includes a structured workflow process that ensures the timely gathering of pertinent information, which significantly boosts the quality and precision of data essential for conducting root cause analyses. Key performance indicators such as response time, turnaround time, chute time, nature of the problems, and instances of transport refusals are crucial for identifying areas where training could be beneficial. Users can seamlessly monitor exceptions as they arise and assign reason codes through a user-friendly workflow. By analyzing the aggregated results, teams can identify underlying causes and devise effective action plans to address them, ultimately improving operational efficiency and service quality. This comprehensive approach facilitates continuous improvement in processes and enhances overall effectiveness.

This instrument serves senior management by promoting alignment within the organization through transparency and self-management practices. It emphasizes directing teams towards achieving Objectives and Key Results (OKRs) rather than merely completing tasks, and it ensures that objectives are intricately connected to various initiatives and backlog items. Additionally, it acts as a valuable resource for Product Owners, featuring a multi-tiered hierarchy for user story mapping using visual cards that encompass business initiatives, themes, epics, features, and user stories. The tool also facilitates project scheduling through well-structured roadmaps and supports both release and sprint planning. It stands out as a streamlined Scrum project management solution for development teams, incorporating essential elements such as the product backlog, sprint planning sessions, daily scrums, and sprint reviews. Scrum teams can efficiently monitor their tasks using Kanban boards, which allow for easy drag-and-drop functionality and workflow customization while also managing impediments effectively. Furthermore, it serves the needs of Scrum Masters by promoting a culture of continuous improvement, enabling the facilitation of both online and in-person retrospectives, where team members can vote on the most impactful ideas. The tool includes a comprehensive selection of 14 retrospective techniques, along with methods to analyze intricate problems, such as root cause analysis, causal loop diagrams, mind maps, and the 5 Whys technique, to drive meaningful reflections and insights. Ultimately, this versatile tool enhances collaboration and efficiency across all levels of the organization.

Security and observability tailored for Kubernetes environments. Implementing security and observability as code is essential for modern cloud-native applications. This approach encompasses cloud-native security as code for various elements, including hosts, virtual machines, containers, Kubernetes components, workloads, and services, ensuring protection for both north-south and east-west traffic while facilitating enterprise security measures and maintaining continuous compliance. Furthermore, Kubernetes-native observability as code allows for the gathering of real-time telemetry, enhanced with context from Kubernetes, offering a dynamic view of interactions among components from hosts to services. This enables swift troubleshooting through machine learning-driven detection of anomalies and performance issues. Utilizing a single framework, organizations can effectively secure, monitor, and address challenges in multi-cluster, multi-cloud, and hybrid-cloud environments operating on either Linux or Windows containers. With the ability to update and deploy security policies in mere seconds, businesses can promptly enforce compliance and address any emerging issues. This streamlined process is vital for maintaining the integrity and performance of cloud-native infrastructures.

Seagence's unique execution pathway technology, combined with machine learning, allows you to receive realtime alerts that pinpoint the root cause of any defects in your Java production applications. You can fix your code without any debugging. When you start your application, attach a lightweight runtime Java agent. Seagence agent tracks data about how requests are processed as users access the application. Seagence needs to have enough sample for analysis within 24 hours. Seagence's analytics engine receives the data in realtime. It detects defects and alerts when they occur. Seagence can uncover all defects in your application, even those that are not obvious. Seagence provides defect and root cause information to help you fix your code. Seagence monitors your production application continuously and finds defects and root causes in real-time. This eliminates the need to debug.

Compliance Manager is a SaaS platform designed to facilitate the oversight of various operational elements: Documents - Users can add, update, archive, and manage their Policies, Procedures, Forms, and Templates efficiently. Projects - The application streamlines project management and documentation, enabling team members to collaboratively share essential project details. Tasks - It allows for effective management of tasks, audits, nonconformities, corrective and preventive actions, complaints, and incidents. Alerts - The system includes email alert management to ensure timely completion of corrective and preventive actions. Incidents - Users can effectively manage incidents, conduct investigations, implement resolutions, and perform root cause analysis. Training - It offers tools for overseeing employee records, tracking training logs, and conducting appraisals. Suppliers - The platform assists in managing supplier records and evaluating their performance. Reports - Users can generate comprehensive reports on Audit Results, Root Cause Analysis, Training, and Supplier Performance, thus enhancing overall operational efficiency. With its robust features, Compliance Manager ultimately supports organizations in maintaining compliance and improving their overall performance.

FortiNDR effectively detects ongoing cybersecurity threats by analyzing unusual network behavior, which accelerates the investigation and response processes to incidents. This solution offers comprehensive protection across the network lifecycle, combining detection and response capabilities. Utilizing AI, machine learning, behavioral analytics, and human insight, it scrutinizes network traffic to help security teams recognize malicious activities and take swift action against them. FortiNDR excels in providing in-depth analysis of network traffic and files, determining the root causes of incidents, and assessing their scope, all while equipping users with the necessary tools to address these threats promptly. One of its standout features is the Virtual Security Analyst, designed to pinpoint harmful network activities and files, allowing for the immediate identification of complex threats, such as zero-day vulnerabilities. Additionally, FortiNDR Cloud enhances security measures by merging machine learning and AI with human expertise to bolster overall security and minimize false alarms. The expertise of seasoned threat researchers at FortiGuard Labs plays a crucial role as they monitor the activities of cybercriminals, conduct reverse engineering, and continually refresh detection protocols to stay ahead of emerging threats. This ongoing effort ensures that organizations can react effectively and maintain robust defenses against various cyber risks.

Sensai offers a cutting-edge AI-driven platform for detecting anomalies, performing root cause analysis, and forecasting issues, which allows for immediate problem resolution. The Sensai AI solution greatly enhances system uptime and accelerates the identification of root causes. By equipping IT leaders with the tools to effectively manage service level agreements (SLAs), it boosts both performance and profitability. Additionally, it automates and simplifies the processes of anomaly detection, prediction, root cause analysis, and resolution. With its comprehensive perspective and integrated analytics, Sensai seamlessly connects with third-party tools. Users benefit from pre-trained algorithms and models available from the outset, ensuring a swift and efficient implementation. This holistic approach helps organizations maintain operational efficiency while proactively addressing potential disruptions.

A pay-as-you-go security and observability software-as-a-service (SaaS) solution designed for containers, Kubernetes, and cloud environments provides users with a real-time overview of service dependencies and interactions across multi-cluster, hybrid, and multi-cloud setups. This platform streamlines the onboarding process and allows for quick resolution of Kubernetes security and observability challenges within mere minutes. Calico Cloud represents a state-of-the-art SaaS offering that empowers organizations of various sizes to secure their cloud workloads and containers, identify potential threats, maintain ongoing compliance, and address service issues in real-time across diverse deployments. Built upon Calico Open Source, which is recognized as the leading container networking and security framework, Calico Cloud allows teams to leverage a managed service model instead of managing a complex platform, enhancing their capacity for rapid analysis and informed decision-making. Moreover, this innovative platform is tailored to adapt to evolving security needs, ensuring that users are always equipped with the latest tools and insights to safeguard their cloud infrastructure effectively.

Autointelli Inc, a leader in AIOps, delivers innovative solutions that revolutionize modern IT operations through a combination of automation and advanced machine learning techniques. Our focus on providing solutions has led us to create an AIOps platform designed to streamline data center automation. By utilizing the Autointelli AIOps platform, you can effectively minimize alert noise, pinpoint root issues, and reallocate your team to focus on more critical IT responsibilities. Partner with us to enhance your digital workplace experience. The Autointelli AIOps platform accelerates event correlation and seamlessly escalates complex incidents to the appropriate engineers. Furthermore, it includes a robust self-service automation feature, enabling users to design countless workflows for automation purposes. The platform's root cause analysis capability allows for the identification of core issues affecting both hardware and software. Additionally, our analytics tools are engineered to boost your business performance by gleaning valuable insights from all significant data sources, ensuring you remain competitive in a rapidly changing landscape. As technology evolves, having an intelligent AIOps solution becomes essential for sustained operational success.

Our BlackBerry® Optics, designed for cloud-native environments, deliver comprehensive visibility and on-device detection and remediation of threats throughout your organization in just milliseconds. Our endpoint detection and response (EDR) strategy effectively seeks out threats while minimizing response delays, making a crucial difference between a minor security issue and one that spirals out of control. By utilizing AI-driven security measures and context-aware threat detection rules, organizations can quickly identify security risks and initiate automated on-device responses, significantly shortening both detection and remediation times. With a unified, AI-enhanced view of all endpoint activities, businesses can achieve greater awareness and bolster their capacity for detection and response across both online and offline devices. Additionally, our platform supports threat hunting and root cause analysis through an intuitive query language and offers data retention options of up to 365 days, ensuring that teams have access to the necessary information for thorough investigations. This comprehensive approach empowers organizations to stay ahead of potential threats and maintain robust security postures.

opConfig offers a comprehensive automation solution that encompasses everything from configuration pushes to alerting on modifications and ensuring compliance with industry standards. By integrating operational delegation within your organization, you can enable troubleshooting capabilities for your network devices while maintaining strict control by not granting 'root' access. Our platform allows for the effective implementation of compliance policies such as PCI-DSS, HIPAA, and COBIT, utilizing either prebuilt industry-standard rule sets like Cisco-NSA or enabling you to create customized rules tailored to your needs. It efficiently collects and backs up configuration information across all environments, supporting a wide range of vendors' hardware and software, whether they are cloud-based, on-premises, or hybrid. With opConfig, you can design powerful command sets that assist in diagnosing the root causes of network issues. Our scalable software solutions can be expanded both horizontally and vertically, having already supported monitoring and management for over 200,000 nodes. You can also compare current configuration data with previous versions or with other devices, ensuring that all configurations are aligned. By utilizing compliance policies as a task checklist, you can systematically guarantee that all devices meet compliance requirements without compromising security. Furthermore, this approach enhances overall network integrity and fosters a culture of accountability within your organization.

IBM® Z® Operations Analytics is a powerful tool designed to facilitate the searching, visualization, and analysis of extensive structured and unstructured operational data within IBM Z environments, encompassing log files, event records, service requests, and performance metrics. By utilizing your analytics platform alongside machine learning, you can enhance enterprise visibility, pinpoint workload issues, uncover hidden challenges, and expedite root cause analysis. Machine learning aids in establishing a baseline of typical system behavior, enabling the detection of operational anomalies efficiently. Additionally, you can identify nascent issues across various services, allowing for proactive alerts and cognitive adjustments to evolving conditions. This tool offers expert recommendations for corrective measures, enhancing overall service assurance. Furthermore, it helps in spotting atypical workload patterns and reveals common problems that may be obscured in operational datasets. Ultimately, it significantly diminishes the time needed for root cause analysis, thereby capitalizing on the extensive domain knowledge of IBM Z and applying its insights effectively within your analytics framework. By harnessing these capabilities, organizations can achieve a more resilient and responsive operational environment.

Apollo Root Cause Analysis™ is a method grounded in principles that aids individuals in mastering effective strategies for problem-solving. When paired with the RC Pro® software, it enables the development of a comprehensive, evidence-based comprehension of any issue encountered. Such an understanding of the root causes and their effects fosters solutions that gain acceptance across the entire organization. The Apollo Root Cause Analysis™ approach promotes the establishment of a shared understanding through collaboration with all relevant stakeholders, resulting in a solid evidence-based perspective on the problem at hand. This methodology guarantees that the solutions implemented tackle verified causes, thereby minimizing the chances of future occurrences. It simplifies the problem-solving process and equips trained individuals with the necessary skills to tackle real-world challenges more efficiently and effectively. Additionally, RC Pro serves as a versatile root cause analysis software solution that can be customized for businesses of any scale and in various sectors. By utilizing RC Pro, organizations can enhance and integrate their problem-solving capabilities, leading to improved outcomes. Ultimately, this synergy between Apollo Root Cause Analysis™ and RC Pro empowers teams to create lasting solutions that foster continuous improvement.

Functions independently to manage regular alerts and actions, thereby minimizing escalations and mitigating burnout. It intelligently modifies thresholds and dashboards to proactively avert incidents and updates runbooks with each new occurrence. This efficiency can save on-call engineers as much as 20 hours weekly, allowing them to focus on development tasks. It manages all alerts, conducts root cause analysis, resolves incidents, and ensures that the on-call experience is stress-free. By automating root cause analysis and incident response, it can reduce Mean Time to Resolution (MTTR) by up to 80%. With comprehensive incident summaries and hypotheses accessible prior to logging in, users will enjoy quicker response times and significantly enhanced uptime. Getting started is quick and easy with production-ready AI that is secure and adept in utilizing all necessary production tools just like a seasoned software engineer. Additionally, it automatically maps your production environment, comprehends code, and tracks modifications seamlessly without requiring any prior training. This innovative approach not only streamlines operations but also enhances overall productivity and efficiency within the team.

Collect, merge, contextualize, consolidate, and represent data visually. Analyze the connections between cultivation factors and target results. Conduct root cause investigations to uncover practical insights for enhancement. Explore, interpret, and convey significant data trends and patterns. The Adopt agriculture management team, along with its advisory board, possesses extensive expertise in creating sophisticated agricultural analytics and managing thriving enterprises. Simplify complex data and scientific findings into a clear and comprehensible score. Adopt is actively working on the data necessary to revolutionize the agricultural supply chain, emphasizing agribusiness-centric yields and practices tailored to consumer demands. This innovative approach aims to create a more efficient and responsive agricultural system.

Shield34 stands out as the sole web automation framework that ensures complete compatibility with Selenium, allowing users to seamlessly continue utilizing their existing Selenium scripts while also enabling the creation of new ones through the Selenium API. It effectively tackles the notorious issue of flaky tests by implementing self-healing technology, intelligent defenses, error recovery protocols, and dynamic element locators. Furthermore, it offers AI-driven anomaly detection and root cause analysis, which facilitates a swift examination of failed tests to identify what changed and triggered the failure. By eliminating flaky tests, which often present significant challenges, Shield34 incorporates sophisticated defense-and-recovery AI algorithms into each Selenium command, including dynamic element locators, thereby reducing false positives and promoting self-healing alongside maintenance-free testing. Additionally, with its real-time root cause analysis capabilities powered by AI, Shield34 can swiftly identify the underlying reasons for test failures, minimizing the burden of debugging and the effort required to replicate issues. Ultimately, users can relish a more intelligent version of Selenium, as it effortlessly integrates with your existing testing framework while enhancing overall efficiency.

Vision is easy to implement and use, featuring a streamlined architecture that minimizes expenses while delivering action-oriented, instantaneous root cause analysis. Its software-based probes possess unlimited scalability across the network, presenting broadcasters, network operators, and content distributors with a cost-effective solution for achieving direct analytical insights at the critical last mile. By elevating content distribution reliability, Vision allows for the monitoring of more points than ever before in real-time, ensuring an unparalleled level of fault tolerance and redundancy through hot-swap backups, load balancing, and clustering. Built for continuous operation, Vision facilitates comprehensive root cause analysis, capturing video of each incident 24/7 and maintaining a time-correlated trend history. When implemented across the entire network, Vision reveals an accurate perspective on channel delivery all the way to the last mile, empowering users to make informed decisions and enhance overall performance. This innovative approach not only strengthens operational efficiency but also significantly improves service quality for end-users.

ExtraView serves as a comprehensive software solution designed for enterprises, focusing on business process management and global quality management systems, particularly in areas like CAPA, adverse event reporting, food safety, bug tracking, change management, and customer support. Users can choose between pre-built solutions or tailor their own specifications to meet unique needs. It can be deployed as a cloud service or installed on local servers, making it versatile for various operational environments. The platform is user-friendly, allowing for easy configuration while also supporting the implementation of fully validated systems for incident management, CAPA, adverse event reporting, root cause analysis, clinical trial data management, and food safety initiatives. Additionally, it facilitates the establishment of bug-tracking, customer support, requirements management, and other vital issue-tracking systems. A noteworthy aspect is that many users can benefit from a robust, free downloadable version of the software. Furthermore, financial organizations often utilize ExtraView to enhance their systems for auditing, ensuring corporate governance, and managing risks effectively. This adaptability makes it an essential tool for a wide range of industries looking to streamline their workflow processes.

Harness the power of AI for anomaly detection and root cause analysis focused on the key metrics that impact your business. Avora employs machine learning to oversee your business metrics around the clock, promptly notifying you of critical incidents so you can respond within hours instead of waiting for days or weeks. By continuously examining millions of records every hour for any signs of unusual activity, it reveals both potential threats and new opportunities within your organization. The root cause analysis feature helps you identify the elements influencing your business metrics, empowering you to implement swift, informed changes. You can integrate Avora’s machine learning features and notifications into your applications through our comprehensive APIs. Receive alerts about anomalies, shifts in trends, and threshold breaches via email, Slack, Microsoft Teams, or any other platform through Webhooks. Additionally, you can easily share pertinent insights with your colleagues and invite them to monitor ongoing metrics, ensuring they receive real-time notifications and updates. This collaborative approach enhances decision-making across the board, fostering a proactive business environment.

The EAA-Performance and Fault Management system integrates performance and fault management into a single solution, effectively tackling the difficulties presented by intricate, disaggregated, and distributed 5G networks. With features such as real-time dashboards, detailed reporting, and immediate root cause analysis, it establishes a robust framework that ensures both high performance and reliable network operations. In addition, EAA-Automation streamlines NOC/SOC operations for complex 4G/5G environments, thereby minimizing operational challenges and enhancing the speed of remediation. Furthermore, the collaborative offering from MYCOM OSI and Oracle—Network Orchestration and Assurance—provides automated, closed-loop service fulfillment and assurance, as well as closed-loop optimization of network resources, facilitating real-time orchestration of both networks and services. This comprehensive approach not only enhances operational efficiency but also significantly contributes to the overall reliability and performance of modern telecommunications networks.

TraceRoot.AI serves as an open-source, AI-driven observability and debugging platform that aims to assist engineering teams in swiftly addressing production challenges. By merging telemetry data into a unified correlated execution tree, it offers essential causal insights into failures. AI agents leverage this structured representation to summarize problems, identify probable root causes, and even propose actionable solutions or generate GitHub issues and pull requests. Users can engage in interactive trace exploration, featuring zoomable log clusters and detailed views on spans and latency, complemented by insights linked to the code itself. Additionally, lightweight SDKs for Python and TypeScript facilitate effortless instrumentation via OpenTelemetry, accommodating both self-hosted and cloud-based deployments. A key aspect of the platform is its human-in-the-loop interaction, which allows developers to influence the reasoning process by selecting relevant spans or logs, enabling them to validate the agent's reasoning with traceable context. This collaborative approach not only enhances debugging efficiency but also empowers teams with greater control over the issue resolution process.

Designed for multi-unit retailers, manufacturers, pharmacies and hospitality businesses, Bindy is a cloud-based platform that helps streamline inspection workflows, identify issues and assign corrective actions to ensure compliance with brand standards. Administrators can schedule visits on a calendar and create customizable inspection checklists or forms to collect data from sites and add attachments in them for reference. Key features of Bindy include audit management, root cause analysis, data visualization, task management, collaboration and more. The software allows managers to automatically generate action plans using identified non-compliant items and designate users for each task to streamline issue resolution processes. Additionally, the built-in monitoring functionality enables supervisors to login-in and check the work progress across teams to view outstanding tasks. Bindy offers an API, which enables businesses to integrate the platform with various third-party data export applications. Pricing is available on monthly subscriptions and support is extended via FAQs, email, phone and other online measures.

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.

Our innovative, patent-pending graph-based technology facilitates the proactive identification and resolution of both recognized and unidentified threats in your systems. This includes handling misconfigurations, inadequate configurations, overly permissive policies, and Common Vulnerabilities and Exposures (CVEs), allowing your teams to effectively tackle and eradicate all potential risks to your cloud infrastructure. By prioritizing the most urgent concerns, your team can concentrate on the most critical tasks at hand. Furthermore, our root cause analysis significantly minimizes the volume of alerts and overall findings, ensuring that teams can focus on the most essential issues. Safeguard your cloud ecosystem while progressing in your digital transformation journey. The solution provides a correlation between the Kubernetes and cloud layers, integrating effortlessly with your current workflows. Additionally, you can obtain a quick visual evaluation of your cloud environment utilizing established cloud vendor APIs, tracing from the infrastructure level all the way down to individual microservices, thereby enhancing your operational efficiency. This comprehensive approach not only protects your assets but also streamlines your response efforts.