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Application Performance Monitoring (APM) is a process that maintains and measures the performance, availability, and user experience of software applications by collecting and monitoring data on the application's speed, transaction times, error rates, and other related metrics. APM is designed to detect, isolate, and diagnose problems that could negatively impact an application's performance, thus aiding in minimizing downtime and ensuring optimal performance.

With our Managed Observability service you can identify and address performance bottlenecks and errors before they impact to your customers, ensuring a seamless and reliable digital experience. Our APM captures and analyzes errors, offering a comprehensive view of error frequency, handling, and resolution. APM visualizes how different services interact, enabling businesses to optimize workflows, and giving detailed insights into application behavior, allowing your teams to focus efforts on the most impactful improvements.

APM is not just a technical tool; it's a strategic asset for Customers looking to optimize performance, delight their end customers, and drive success in the digital landscape.

Infrastructure monitoring involves the ongoing examination of a system's underlying components, including servers, databases, networks, and other hardware or software resources. It aids in pinpointing bottlenecks, foreseeing system failures, and guaranteeing smooth operation. Moreover, it can offer insights into server utilization, storage capacity, network latency, hardware errors, among other critical metrics.

With our Managed Observability service you can leverage user-friendly dashboards and prebuilt visualizations provide a visually stunning experience, ensuring that stakeholders — from DevOps to business owners — can easily interpret and act upon crucial data. You gain a competitive edge with real-time insights into your entire infrastructure stack, benefit from a unified platform that eliminates the need for multiple tools, reducing complexity and streamlining operations. Whether it's on-premises, in the cloud, or a hybrid mix, monitor and adapt to changes dynamically for uninterrupted business growth.

System logs are generated by a system during its operation. These logs capture valuable information about system activities, such as operational processes, events, errors, and transactions. Logs can provide insights into system performance, behaviors, and potential issues. Analyzing system logs helps in troubleshooting problems, monitoring system health, detecting security threats, auditing system usage, and ensuring regulatory compliance.

With our Managed Observability service you can supercharge your log management strategy by combining the strengths of logs and traces; logs for comprehensive visibility and traces for deep insights into transactions. Unlock the power of structured logs by benefiting of predefined formats, making troubleshooting, security, and compliance management a breeze.

You can also take advantage of Machine Learning algorithms for anomaly detection, and explore the potential of trace data for improved troubleshooting and forecasting. Simply achieve operational efficiency and cost-effectiveness while gaining insights for your applications and infrastructure.

Continuous Profiling constantly monitors and analyzes the performance of an application at the code level. It records the frequency and duration of every function call, allowing teams to understand the resource usage and efficiency of their software. Continuous profiling helps to identify performance bottlenecks, CPU and memory usage hotspots, and inefficient code paths that may impact the application's performance and reliability.

Our Managed Continuous Profiling is not just a profiling tool; it's a game-changer providing whole-system visibility, allowing you to gain insights into every line of code executing on your servers. It effortlessly captures the intricate mix of custom software functions, third-party libraries, networking software, and more. The tool provides a clear visualization of the impact of any function, showcasing its execution time, associated costs in chosen currency, and even carbon emissions. This allows you to optimize not only for performance but also for cost and environmental impact.

AIOps involves the use of Machine Learning and data analytics to analyze large volumes of operational data, automatically detect anomalies, predict potential issues, and trigger responses to rectify them. AIOps helps in automating routine tasks, reducing noise in alerts, identifying patterns and dependencies, and enhancing decision-making.

With our Managed Observability service you can unlock the future of IT Operations with AIOps - optimize your IT resources with AIOps, ensuring that your systems run efficiently, resulting in cost savings and improved overall operational performance. Identify and address potential issues proactively before they impact business, resulting in improved customer satisfaction and loyalty.

Additionally, you can customize your offering comprehensive solutions that align with your unique business needs and goals. Thus, gain a competitive edge by embracing the capabilities of AIOps, harness the power of AI and machine learning to make data-driven decisions.

SIEM (Security Information and Event Management) provides real-time analysis of security alerts and events. It collects and aggregates log data from various systems, applications, and network hardware, and then correlates and analyzes that data to identify patterns indicative of a potential security incident. SIEM also is required for completion of regulatory compliance of an organisation.

With our Managed Observability SIEM service you will stay informed with the security of your infrastructure. You can dive into detailed host and network security event analysis with SIEM App, with an intuitive user interface tailored to the needs of security practitioners. Our SIEM provides a unified platform for managing diverse security data sources and complex tasks, as well as cost-effective approach to save security data to the long-term retention.