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IT Observability
IT OBSERVABILITY
Softron offers the IT Observability software platform to enhance Availability and Performance of Business Applications or Services.
The IT Observability SaaS platform integrates and automates various essential functionalities such as infrastructure monitoring, application performance monitoring, log management, and real user monitoring. Its comprehensive toolkit provides full-stack visibility across their clients’ technological stack.
Widely adopted by organizations of all sizes and industries, these solutions facilitate digital transformation efforts and cloud migration. They promote collaboration among development, operations, security, and business teams, accelerating application time-to-market and reducing time required for issue resolution.
These solutions are crucial for securing applications and infrastructures, understanding user behavior, and tracking key business metrics, ultimately empowering businesses to thrive in today’s dynamic digital landscape.
Application Performance / APM
Leader in Gartner’s Magic Quadrant, delivers end-to-end visibility across modern hybrid clouds, from microservices to mainframes. Enables full-stack automatic instrumentation, generates highly reliable data for all transactions with complete detail and no blind spots. Includes a comprehensive dependency map and facilitates precise root cause determination. Our APM offering includes cloud infrastructure monitoring and AIOps to provide instant responses across the entire stack.
Automatically detect and monitor microservices:
Automatically discovers and monitors dynamic microservices running within containers. See how they are performing, communicating with each other, and immediately detect underperforming microservices.
Code-level tracing:
Automatically capture real-time code-level context for transactions at all levels. Dive deep to analyze response times and identify method-level entry points.
Hybrid cloud, from mainframe to mobile:
Has the broadest coverage of any monitoring solution, including supported languages, application architectures, cloud-native, hybrid on-premises applications, enterprise, SaaS monitoring, and more.
SQL / NoSQL databases:
Automatically detect and monitor databases, understand how applications use them, and obtain detailed health metrics for each SQL entity. Identify and resolve database issues affecting application performance.
CI/CD analytics for metric-driven innovation:
Track every build moving through your release pipeline, each deployment into operations, all user behavior, and the impact on supporting infrastructure. This way, you can reliably and quickly introduce new code into production.
Infrastructure Monitoring
Generates events and logs based on Artificial Intelligence (AI) in native and hybrid cloud environments, with continuous automatic discovery of configuration items. It is an all-in-one cloud infrastructure solution that includes AIOps for accurate and instant responses to anomalies and performance degradations.
Hosts, VMs, containers, networks, events, and logs:
See it all: Not only monitor your physical, virtual, and cloud hosts, but also much more. Provides observability through PaaS and container technologies like Kubernetes, OpenShift, and Cloud Foundry, process detection, resource usage and performance, network monitoring, logs monitoring, and even third-party data and event integration.
Expand monitoring with custom log metrics:
Extend infrastructure observation capability to everything written in a log file with custom log data-based metrics. Consolidate isolated toolsets and gain broad visibility of infrastructure.
Consolidate tools with an all-in-one approach:
Infrastructure Monitoring is just part of our full-stack monitoring solution. See everything, from the application, the infrastructure supporting it, and the experience of all users, all in context, automated with a single agent installation.
Reduce MTTI by 75% with artificial intelligence:
Thanks to understanding all relationships and dependencies that make up your application and infrastructure, our AI engine can analyze billions of dependencies to tell you exactly what happened and why, drastically reducing mean time to identify and mean time to repair incidents.
Simple and direct integration with ITSM systems:
Integrates with ITSM solutions like ServiceNow for real-time CMDB synchronization and optimized incident management.
Digital User Experience
Optimization of the user experience and knowledge of the business impact of each digital experience. It considers real and synthetic user monitoring, combined with 4k movie-like session playback, providing application optimization, improved customer experience and customer support across all digital channels. The digital experience includes AIOps, which provides intelligence to improve each user’s experience.
Real user monitoring for each customer journey:
Get a 360-degree view of all activities performed by each mobile and web application user, across all devices and browsers. Real-time analysis based on artificial intelligence on user journey data allows you to assess satisfaction, detect issues, and proactively resolve them before they negatively impact your customers.
Proactive synthetic monitoring across a global network:
Simulate, measure, and compare your mobile and web channels using industry-leading synthetic (robotic) monitoring. Measure performance and compare it with competitive sites in the geographies where your customers are located. Emulate real user behavior.
4K movie-like session playback:
Identify, analyze, and intuitively resolve customer issues with an easy-to-use solution that captures, indexes, and visually replays the entire digital experience for each user. Understand your customers like never before, with the industry's highest-fidelity session playback.
Digital Business Analytics
Real-time responses, based on artificial intelligence, that allow business metrics to be linked with digital experience and application performance data. Digital business analytics includes AIOps to deliver instant insights into conversions, orders, churn, launch validation, customer segmentation, and more.
Integrate user experience and transaction performance data within a complete business context:
Automatic tracking, segmentation, and data extraction from business transactions, providing a complete view and business outcomes.
Analytics provide accurate answers to improve revenue and customer experience:
AI-driven analysis, exploration, and queries of user experience and application data to gain relevant business insights.
Minimize abandonment and optimize conversions:
Visualize and collaborate using relevant business metrics such as conversions and revenue performance by product, customer segment, geography, and more.
Automatically resolve issues before they impact business:
Anomaly detection using AI, root cause determination, and alerts to trigger both business workflows and/or technical remediations.
Artificial Intelligence IT Operations (AIOPs)
The artificial intelligence engine provides instant responses when a problem that affects users arises, specifying the root cause in detail. When an issue that affects users arises, you will be the first to know and provide an accurate root cause solution. AIOps is included with every module on the platform.
Automatic remediation and intelligent orchestration:
The deterministic AI engine automatically delivers accurate responses to resolve operational changes. Works with your continuous delivery (CD) tools to optimize performance and self-healing before users notice.
Reach precise root cause:
Because it processes billions of dependencies in milliseconds, it accurately indicates the root cause of the incident and completely eliminates "alert noise." It even knows which deployment or configuration change is responsible for the error. Unlike machine learning approaches, there are no guesses or repetitive learning models. Provides precise problem identification, enabling faster decision-making and greater IT resource optimization.
Automated dependency detection:
Continuously automatically discovers your changing environment in real-time. We don't need time to learn how things relate; we detect them at startup with zero manual configuration. Even processes in containers are automatically instrumented. Our approach provides real-time observability and accurate responses at all times.
High-quality data:
The best answers start with the best data. Collects high-fidelity data from every entity in your environment through full-stack, from end-users to infrastructure. Open APIs provide easy ingestion of external data sources from your CI/CD pipeline, ITSM tools, and cloud platforms for even broader AI processing.
Consulting and Professional Services
Datadog Implementation and Configuration
At Softron, we have certified specialists with experience in regional implementations. We offer installation, integration, configuration, specific dashboard building, etc. Also, operational services and evolutionary maintenance for those customers who require it.
For organizations that have already reached a level of managed monitoring maturity, the next step is to advance in exploiting the most advanced features.
At Softron, we offer specialized services to exploit and extend its use to other areas of the organization (development, QA, Business). Integrate with other solutions for data ingestion or information delivery (APIs, Logs, Plugin, Funnel), etc.
Monitoring
In order to provide our clients with recommendations in a short term, an evaluation is carried out with the team in charge of monitoring, incidents operation and management. Based on the findings, improvement initiatives are presented.
The result is a Plan of initiatives to improve Processes, People and Technology that can be used in the formulation and evaluation of budgets, programs and projects.
Digital Data Analytics
Acquire techniques to analyze and understand your customers' data and their digital operations.
Service design and data capture from IT and social media areas, to analyze and integrate them with the results of customer journeys, cycles or digitalization initiatives in order to verify the results of scheduled changes, facilitate decision making and track business requirements compliance.
The results are an analysis of digital transformation initiatives, and IT support for the business. This service also includes monitoring corrective plans against deviations and their constant tracking.
Application analysis and stability
Move to cloud infrastructure and services, ensuring application stability and increasing productivity in service delivery and deployment.
The journey to the cloud requires full support to evaluate, plan and manage the migration of application platforms to cloud computing environments and ensure that business objectives are met.
The result is the accompaniment of both planning and prioritization activities for each application journey, as well as the continuous validation of results (user experience, performance, error detection and bottlenecks) throughout the transition process, to finally establish how to Manage Cloud Monitoring.
The implementation of agile methods and the reduction of Time to Market has resulted in the need to deliver and integrate software continuously (DevOps), thereby increasing the risk of failures in delivery and the stability of applications.
The result is to establish objectives of business services stability in development and production, together with the implementation of indicators, controls and information aimed at the software factories or cells to minimize the occurrence of recurrent incidents and vulnerabilities in production, increasing at the same time the performance of the transition processes of services to operations together with feedback artifacts regarding integration, delivery, and monitoring activities.
Managed Monitoring
Businesses are increasingly dependent on technology platforms, requiring ensuring the availability and performance of IT services supporting business.
We offer an expert service in monitoring of applications and IT services, with monitoring command center operation (8×5, 12×5, 24×7, etc.), on-site or remote, with predefined processes integrated into customer operations (Event, incident and problem management), with special focus on the use of monitoring tools that allow identification of root cause, event centralization and correlation, preventive detection of issues that may become incidents, and a constant orientation to automation and self-remediation.
