alt

Application Performance Management

  • Application Performance Management

    Maintain your system availability, enhance service performance and response time, and improve customer experience by tracking key application performance metrics by utilizing our monitoring software and telemetry data. Monitor everything from services, processes, hosts, logs, networks, and end-users that access these applications — including a company's customers and employees across the mobile applications, websites, and business applications.

    Modern mobile, websites, and business apps include hundreds of interconnected digital services and open-source solutions and run in containerized environments hosted across multiple cloud services.

    By using APM, you'll be able to locate the root cause of the issues in the application fast, so you can start solving the problem, enhance your app's efficiency and decrease its downtime, thus increasing your customer's satisfaction.

    According to Gartner, "Application performance monitoring is a suite of monitoring software comprising digital experience monitoring (DEM), application discovery, tracing and diagnostics, and purpose-built artificial intelligence for IT operations."

    The core features of APM:

    • Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments
    • End-to-end observability of an application's complete HTTP/S transactional behavior to understand the effect on business outcomes and user experience
    • Mobile and desktop application monitoring on mobile and desktop browsers to track user experience across platforms
    • Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution
    • Integration and automation with service management tools and third-party sources to keep pace with an expanding and evolving infrastructure
    • Business KPIs and user journey analysis (for example, log in to check out) to optimize user experiences and provide transparency into how changes impact KPIs
    • Endpoint monitoring to understand how mobile applications impact endpoint devices and identify issues with those devices.
    • Virtual desktop infrastructure (VDI) monitoring to maximize the productivity of employees using VDI

  • The core features of APM:

    • Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments
    • End-to-end observability of an application's complete HTTP/S transactional behavior to understand the effect on business outcomes and user experience.
    • Mobile and desktop application monitoring on mobile and desktop browsers to track user experience across platforms
    • Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution
    • Integration and automation with service management tools and third-party sources to keep pace with an expanding and evolving infrastructure
    • Business KPIs and user journey analysis (for example, log in to check out) to optimize user experiences and provide transparency into how changes impact KPIs
    • Endpoint monitoring to understand how mobile applications impact endpoint devices and identify issues with those devices.
    • Virtual desktop infrastructure (VDI) monitoring to maximize the productivity of employees using VDI
  • Advanced Cloud Observability

    Our service provides complete observability and automation even with microservices that generate their own telemetry data dynamically scaling across numerous hosts in a multi-cloud environment. We automatically provide performance metrics, logs, traces, entity relationships, user experience and behavior data, and data from the latest open source standards, including Open Telemetry, all in a single platform, with no configuration required.
    By using advanced cloud observability, you'll be able to:

    • Extend the three pillars of observability with UX and topology data.
    • Grasp the full context of the observed data from user impact through entity interdependencies.
    • Leverage root-cause analysis to identify issues and provide immediate answers.
    • Implement automatic configuration to ensure scalability and complete coverage in dynamic environments
    • Automatically discover all applications, containers, services, processes, and infrastructure, and instrument all system's components upon launch.
    • Utilize our smart baselining to automatically establish the standard baseline for your application performance and adapt to new changes.
    • Have enterprise-grade secure and automatic updates within the environment.
  • Continuous Automation

    Manually maintaining your app's performance is no longer achievable. Through utilizing our Continuous Automation, you can match the requirement of web-scale dynamic microservice environments, as the automation occurs through automatic deployment, configuration, discovery, topology, performance, and updates. Our solution has already learned everything it needs to know about your application, and it's constantly observing, analyzing, providing answers, and prioritizing what matters, saving you time, decreasing the operational time and cost, and increasing your revenue.
    By using continuous automation, you'll be able to:

    • Auto-deploy with a single agent, our agent discovers all the running processes on the host, automatically activates instrumentation specifically for your stack, and new components get auto-instrumented instantly.
    • Have a real-time dependency map, displaying the relationships and dependencies for all entities, both vertically up and down the stack and horizontally between services, processes, and hosts.
    • Receive triage-based proactive and reactive alerts with the root-cause issue to help you focus on what's critical now and work your way through the other alerts in time.
    • Have issue remedies automatically deployed by integrating with CMDB and continuous delivery tools.
  • AI Assistance

    Leverage AI to handle all the manual and redundant work to increase efficiency and help allocate that time to addressing more urgent issues. This technology also allows you to be proactive in dealing with issues. It also handles resolving issues and enhancing your application performance.
    By using AI Assistance, you'll be able to:

    • Have real-time dependency detection and distributed tracing
    • Map your entire application stack across a hybrid cloud environment
    • Detect root cause issues and automate operations automatically.
    • Triage the issues according to their severity and effect on your users and KPIs
    • Learn and account for all processes and data, whether from a mainframe, the infrastructure, a cloud platform, or the CI/CD pipeline.
  • Cross Team Collaboration

    Built for enterprise-scale deployments, leveraging a unified data platform with advanced analytics to produce one source of truth for biz, ops, app, and dev teams, thus eliminating silos and enhancing cross-team collaboration between the Dev and Ops teams.
    By using Cross Team Collaboration, you'll be able to:

    • Leverage AI so your teams can spend more time on innovating and less time on redundant manual tasks. AI will help your teams automate these tasks to free up time for innovation, thus enhancing your app and increasing your customer satisfaction.
    • Utilize observability, automation, and AI to accelerate the delivery, improve code quality, and increase DevOps throughput.
    • Create and monitor SLOs, track error budgets, and predict violations before they happen, so teams can fix issues before they happen.
  • User experience and Business Analytics

    Utilizing our AIOps, Real-User Monitoring, and Session Replay, your team can bridge between user experience and business results, including conversion rates, revenue, and key performance metrics, thus consistently improving and delivering advanced digital experiences and receiving profitable business results across all your channels.
    By using User Experience and Business Analytics, you'll be able to:

    • Use synthetic monitoring to discover problems in production and development environments before rolling out any updates to the customers, thus saving your user experience and the hassle of handling concerned and confused customers.
    • Use real-user monitoring to catch and find the root source of issues and fix them fast.
    • Use our all-in-one platform built on a unified data model to empower increased automation and intelligence.
    • Use the user session video recordings to understand where the user struggles and work on enhancing those areas in the user journey.
    • Monitor and analyze mobile user experiences across customer segments, app crashes, third-party components, and your entire cloud stack to create needed new app features that can take the user experience to a whole new level.
  • Application Security

    Leverage automatic vulnerability management protection and DevSecOps across your cloud-native application and container workloads to decrease enterprise-level risks.
    By using Application Security Analytics and solution, you'll be able to:

    • Automatically identify vulnerabilities in the production code.
    • Utilize using security and observability context to eliminate false positives and have your teams focus on critical issues that can affect your user experience and business results
    • Have runtime application and self-protection for key OWASP threats, including SQL and command injections.
    • Automatically open security tickets with added information and context to help your developers quickly triage and fix critical issues.
    • Leverage the built-in security and observability metrics in one dashboard and APIs to produce custom reports.
    • Give your teams more time to innovate and creatively collaborate to increase customer satisfaction and business revenue.
    • Get a snapshot for CISO reporting showcasing the vulnerabilities discovered, which are critical, and affected the systems in the past 30 days.
    • Utilize the AI engine to calculate an individual risk assessment for each vulnerability and provide actionable context, using security intelligence and real-time application context to decide if the vulnerability has public Internet exposure, access to sensitive data, and which other services or apps are dependent affected.