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Dynamic monitoring for your ephemeral containerized resources.

Scalable, dynamic monitoring for ephemeral containerized resources alongside your hybrid cloud infrastructure. Get visibility into your Kubernetes and Docker applications in a single monitoring platform that scales with you.


  • Monitor a growing number of containers without compromising performance.
  • Automatically track and adapt to changes in container resources.
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Hybrid monitoring to correlate containers with on-premise infrastructure


Hybrid monitoring to correlate containers

As businesses modernize and refactor workloads in the cloud, containers become invaluable for scaling applications. Our solution provides hybrid monitoring to correlate containers with your on-premise infrastructure, ensuring comprehensive visibility and control.

Monitor: Track container performance and health in real-time.


Visualize: Understand the impact of containers within the context of your entire infrastructure.


Alert: Set up alerts for aggregate service-level data to stay informed of any issues that may arise.

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Keep your containerized applications healthy

Ensuring the health and performance of containerized applications is essential for organizational success. Bigtecsys offers comprehensive insights and monitoring capabilities to support your container environment.

Unified Monitoring Platform: Bigtecsys presents insights alongside your existing monitored hybrid infrastructure in a unified platform. This integration provides a holistic view of your entire IT ecosystem, including containerized applications and traditional infrastructure components.


Focus on Service Health and Performance: Focus on the overall health and performance of your services, regardless of changes in underlying resources at both the cluster and application levels.

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Monitor and track dynamic services and ephemeral resources

Managing dynamic services and ephemeral resources like containers and pods requires specialized monitoring capabilities to ensure continuous visibility and control. Bigtecsys provides robust solutions tailored for these challenges.

Event-Based Discovery: Bigtecsys employs event-based discovery to accurately track ephemeral resources. This approach ensures that containers and pods, which can appear and disappear rapidly and unpredictably, are effectively monitored.


Automatic Resource Management: Cluster resources, including containers and pods, are automatically added or removed from monitoring based on Kubernetes events or changes in microservices.


Dynamic Grouping: Bigtecsys allows you to dynamically group together containers and other ephemeral resources that support common microservices.

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Event-based Kubernetes monitoring: a new level of clarity

Event-based Kubernetes monitoring revolutionizes the management of ephemeral resources by addressing common monitoring challenges with advanced capabilities

Automatic Addition and Removal: Cluster resources, including nodes, pods, and services, are dynamically added or removed from monitoring based on Kubernetes events.


No Agent on Every Node: By eliminating the need for deploying agents on every node, the monitoring overhead is reduced while maintaining comprehensive visibility across your Kubernetes environment.


Underutilized Resource Identification: Gain insights into underutilized resources such as CPU and memory.

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Container Monitoring and Observability


Successful cloud migration can transform your organization by offering numerous benefits. Bigtecsys provides tools to benchmark and optimize the performance of on-premises workloads before and after migration, ensuring a smooth and efficient transition

Hybrid Cloud Observability

Self-hosted observability to take you from reactive to proactive across on-prem and hybrid IT environments.


  • Deployment to meet your needs, whether behind your firewall or self-hosted in AWS®, Microsoft® Azure, or GCP®
  • Flexible licensing – allocate nodes across multiple instances – and optimal scalability
  • Built from our years of network management leadership and enhanced with machine learning

Bigtecsys Observability

SaaS-delivered observability to simplify management of cloud-native and hybrid IT environments.


  • Visibility across your hybrid IT landscape, including custom apps, microservices, Kubernetes, and containers
  • Accelerate insights with unified data across metrics, traces, logs, and user experience
  • Extensible with open-source framework, public API, and out-of-the-box third-party integrations

Database Performance Analyzer

Cross-platform database monitoring and management software built for SQL query performance monitoring, analysis, and tuning


  • Agentless and designed to be easy to install with quick time-to-value and low overhead of 1% or fewer
  • Runs on either Windows® or Linux® servers, in Azure, or as an AWS subscription
  • Goes beyond problem analysis by providing expert advice with table tuning and query advisors