Alternatives to Soda

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

SodaPDF is the software solution that will help your business achieve any document goal quickly and easily. You can edit, create, convert and sign PDFs according to your requirements. Use the best PDF editor and converter to modify documents. Our PDF tools are easy to use and can be used to simplify any document workflow. Our Batch tool is the fastest Microsoft Office-to PDF converter on the market. It allows you to create multiple PDFs or convert them all at once. You can also add page numbers, watermarks and Bates numbers to multiple files or folders. Our E-Sign feature allows you to sign, manage and track electronic signatures remotely. OCR Edit saves time and eliminates the need to retype text. It allows you to quickly search, recognize and modify any image or scanned document. Access the entire Soda PDF suite of tools and services from your desktop or any device that has a web browser.

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.

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.

ServiceNow Cloud Observability provides real-time visibility and monitoring of cloud infrastructure, applications and services. It allows organizations to identify and resolve performance problems by integrating data from different cloud environments into a single dashboard. ServiceNow Cloud Observability's advanced analytics and alerting features help IT and DevOps departments detect anomalies, troubleshoot issues, and ensure optimal performance. The platform supports AI-driven insights and automation, allowing teams the ability to respond quickly to incidents. Overall, the platform improves operational efficiency while ensuring a seamless user-experience across cloud environments.

SodaGift is a global platform that gives happiness beyond borders. You can gift to the USA, Canada, or Korea from anywhere in the world. Gift cards and real gifts can be delivered right at your doorstep. SodaGift is available for you on all occasions, including holidays, birthdays, anniversaries and holidays. SodaGift offers gift cards and delivered goods to celebrate holidays, birthdays, and other occasions. Surprises everywhere! The gift would be delivered immediately to the provided number. The link to the gift certificate would be sent to your "My gifts" page. It can be shared whenever you wish. The gift will be delivered immediately to the email address you provide.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Small Hours is a platform powered by AI that helps identify the root cause of server exceptions, analyze their impact, and assign them to the appropriate person or team. Use Markdown to guide our assistant when debugging issues. OpenTelemetry is supported for seamless integration. Hook into alarms to identify critical issues. Connect your codebases to runbooks and use them as context and instructions. Your code and data is never stored. Intelligently triage issues, and generate pull requests. Optimized to enterprise scale and velocity. Automated 24/7 root cause analysis to minimize downtime and maximize efficiency.

Anodot uses AI to deliver autonomous analytics at enterprise scale across all data types and in real-time. We provide business analysts with the ability to control their business, without the limitations of traditional Business Intelligence. Our self-service AI platform runs continuously to eliminate blind spots and alert incidents, and investigate root cause. Our platform uses machine learning algorithms that are patent-pending to identify issues and correlate them across multiple parameters. This eliminates business insight latency and supports quick, smart business decision-making. Anodot serves over 100 customers in the digital transformation industry, including eCommerce, FinTech and AdTech, Telco and Gaming. This includes Microsoft, Lyft and Waze. Anodot was founded in 2014 in Silicon Valley and Israel. There are also sales offices around the world.

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.

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.

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

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.

Use a single tool for service availability with a centralized source of truth. Receive alerts when it matters with retries and sensitivity checks. Get a platform for monitoring website status to continuously assess uptime. Infraon uptime is a SaaS platform that allows you to monitor all of your websites, network devices and servers from a single location. Multi-location assessment allows you to keep a close eye on your business-critical remote IT infrastructure. You can also use integrated incident management features to quickly resolve any issues. Infraon's intelligent alerting system allows your teams to quickly identify downtime issues. Send updates and push notification to relevant teams via SMS, email, slack, etc. and get response time metrics. This will enhance your network and web performance monitoring capabilities. With a proactive monitoring dashboard, you can get data-rich insights that help track alerts, SLAs and more.

Multiple network management tools are unreliable. It's hard to find a service provider who has a dedicated knowledge of the network lifecycle. Low employee productivity because employees are constantly switching between tools. Multiple EMS/NMS with poor visibility of topology. Poor SLAs and poor reporting can lead to outsourcing problems. Additional training for staff could take 10-40 hours per year. Inability to identify problems and incidents. Event noise can lead to misinformation about network health. Identification of network problems faster. Reduced downtime when faults occur and custom data visualisation. Infraon ITSM, an AI-based program, is a software that boosts team communication and collaboration through prebuilt automated workflows. You can create a modernized workspace that includes quick resolutions, proactive tracking, intelligent alerts and more. Self-healing and integrated fault management capabilities to fix outages.

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.

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.

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.

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

When organizations invest in a platform that unifies data and insights across IT, they can solve problems faster and eliminate data silos. They can also eliminate resource-intensive warrooms and alert fatigue. Riverbed IQ unified observability enables rapid, effective decision making across business and IT. It codifies expert troubleshooting skills so junior staff members can achieve more first level resolutions. Broad-based Telemetry provides a unified view on performance and insights. This is the foundation for unified observability, upon which all other capabilities can be delivered. Riverbed IQ’s approach to unified observability starts with our full-fidelity telemetry – across the network and infrastructure, and including end-user experiences metrics.

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.

MIVU’s network monitoring services offer real-time statistics for performance issues, resulting in a comprehensive and continuous operation and reliability of your networks. MIVU's network monitoring services provide real-time statistical data for performance issues that result in comprehensive and continuous functioning and reliability of your network. It also increases the reliability of the system because most problems can be solved in advance. MIVU's monitoring tools help organizations to control potential performance bottlenecks in order to maintain continuous and efficient business process.

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.

Great service goes beyond engaging customers. To resolve customer service issues quickly and proactively, connect customer service with other departments. You can improve your customer service from the request to resolution.

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.

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.

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.

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.

The most comprehensive network observability solution available for modern data platforms. Provides unprecedented insights at any size. ElastiFlow enables organizations to achieve unprecedented levels in network performance, availability and security. ElastiFlow gives detailed information about network traffic, including IP addresses, ports and protocols, as well as the amount of data sent. This information allows network administrators gain a deeper understanding of the network's performance, and identify potential problems. ElastiFlow can be used to diagnose and troubleshoot network issues, such as congestion, packet loss, or high latency. Administrators can identify the root cause of a problem by analyzing network traffic and taking appropriate action. ElastiFlow allows organizations to improve their security posture and detect and respond more effectively to threats, while maintaining compliance with regulatory requirements.

ZEST Security is an AI-powered platform that redefines cloud remediation for security teams. ZEST Security, unlike traditional security solutions, which merely identify vulnerabilities and then connect the right team with the right fix to reduce the time between discovery and remediation. The platform offers full remediation coverage, comparing the planned DevOps with the actual runtime cloud state. This allows for seamless identification and remediation across managed and unmanaged clouds infrastructure. Automated root-cause analysis pinpoints issues to the asset and the originating lines of codes, allowing teams the ability to address multiple issues with minimal changes. AI-generated risk solution paths reduce the mean time to remediation by implementing dynamic remediation.

You can monitor and control all the actions of your data pipelines without changing any code. Monitor data and pipelines to prevent downtime proactively and quickly identify root causes. Optimize pipeline runs, job performance and cost to maintain SLAs and save money. Accelerate platform upgrades and code deployments while maintaining reliability and performance. Data & Performance checks in line with pipelines. Checking input data before pipelines are even run. Preemption of runs by automatic means. Definity eliminates the need to build end-to-end coverage so that you are protected in every dimension. Definity shifts observability into post-production in order to achieve ubiquity and increase coverage while reducing manual effort. Definity agents run automatically with every pipeline and leave no footprint. Every data asset can be viewed in a single view, including pipelines, infrastructure, lineage and code. Avoid async checking by detecting in-run. Preempt all runs, including inputs.

Riverbed NPM+, a SaaS service, collects packet data decrypted at each user and server endpoint. It fills the visibility gaps caused by encrypted channels in cloud-native and remote work environments. The use of an agent-based approach to deployment ensures flexibility, simplicity and scalability. Riverbed's AI-driven network observation is a revolution in detecting issues faster and increasing service availability. Smart, interactive workflows to streamline root cause analysis and diagnostics across network teams. Network observability is essential as organizations navigate through the complexities of diverse architectures, dynamic workloads and remote work models. Riverbed's solutions address these challenges. Riverbed can help you maximize the value of your digital investments.

AIOps allows you to predict issues, reduce user impact and automate resolutions. Automate and automate IT operations that are reactive. Cross-team automation workflows can help you identify anomalies and fix them before they happen. AIOps enables proactive digital operations. Stop chasing false positives, and identify anomalies faster. Telemetry data can be collected and analyzed for improved visibility and lower noise. Share actionable insights with other teams and identify the root cause of incidents. You can reduce outages by following guided recommendations. Rapidly implementing insights-based solutions can reduce recovery times. Pre-built playbooks and knowledge bases make repetitive tasks easier. Establish a culture that is performance-driven across all teams. DevOps and Site Reliability Engineers, (SREs), should have access to microservices in order to increase observability and speed up incident resolution. Manage the digital lifecycle beyond IT operations.

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.

Nutanix Prism, a multicloud management interface with a unified control plane, simplifies and streamlines management of all environments that run on the Nutanix cloud platform. It provides a centralized interface that is elegant and intuitive to discover and manage Nutanix apps across on-premises environments, edge environments, and cloud environments. Prism provides a comprehensive view of compute, network, and storage resources to enable efficient infrastructure management. It has features like machine-learning-driven alerts and intelligent resource scheduling that optimize performance and address issues proactively. Prism's self service capabilities also allow users to provision resource efficiently and securely, supporting scalability while maintaining strong security controls. Nutanix Prism's integration of these functionalities enhances operational efficiency, and simplifies the complexity associated with managing hybrid multicloud environments.

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.

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.

ServiceNow®, Problem Management allows you to quickly restore services, often preventing problems from ever happening. ServiceNow helps you eliminate recurring problems and minimize the impact of unplanned disruptions by providing a structured workflow that diagnoses and fixes root causes. Automated workflows enable problem managers to quickly document workarounds or solutions so IT teams can concentrate and get more done. IT can provide faster solutions and responses by having a comprehensive view of all incidents and any changes.