Kloudfuse: Powerful Observability with a Unified Platform
The need for a powerful observability platform has never been greater. The rise of cloud-native technologies, microservices architectures, and distributed systems has significantly amplified the volume and complexity of data produced by modern infrastructures. Consequently, organizations face the formidable challenge of ingesting, storing, and analyzing extensive data to effectively monitor, track, and enhance application and infrastructure performance.
In response to this shift, companies are moving away from legacy, proprietary monitoring and observability solutions developed over a decade ago. Instead, they are adopting advanced, open standards-based observability platforms designed specifically for today's cloud-native environments. These platforms enable organizations to swiftly capture and leverage the ever-expanding wealth of data available to improve application and infrastructure performance and elevate customer experience.
This is where Kloudfuse’s Unified Observability platform is indispensable.
Designed to tackle the increasing complexities and volumes of telemetry and observability data efficiently, Kloudfuse’s Unified Observability platform transforms how businesses manage observability. By integrating all types of observability data—metrics, events, logs, and traces (MELT)—into a unified platform, Kloudfuse eliminates the need for manual integration of separate monitoring tools deployed across different layers of the stack. This approach simplifies engineering processes and accelerates both detection and resolution times.
"Our Unified Observability platform is a direct response to the escalating complexities of modern IT infrastructures. By consolidating metrics, events, logs, and traces into a single, powerful data lake, Kloudfuse eliminates the fragmentation and inefficiencies of traditional observability solutions. This approach not only accelerates detection and resolution times but also simplifies engineering and eliminates unnecessary costs of keeping multiple monitoring tools across different layers of the stack," says Pankaj Thakkar, CTO and co-founder of Kloudfuse.
Kloudfuse leverages existing agents and instrumentation from widely used tools like DataDog, New Relic, Splunk/SignalFx, Sumo Logic, Elastic, OTel, and Prometheus to eliminate the need for additional agents, simplifying onboarding and adoption.
In response to this shift, companies are moving away from legacy, proprietary monitoring and observability solutions developed over a decade ago. Instead, they are adopting advanced, open standards-based observability platforms designed specifically for today's cloud-native environments. These platforms enable organizations to swiftly capture and leverage the ever-expanding wealth of data available to improve application and infrastructure performance and elevate customer experience.
This is where Kloudfuse’s Unified Observability platform is indispensable.
Designed to tackle the increasing complexities and volumes of telemetry and observability data efficiently, Kloudfuse’s Unified Observability platform transforms how businesses manage observability. By integrating all types of observability data—metrics, events, logs, and traces (MELT)—into a unified platform, Kloudfuse eliminates the need for manual integration of separate monitoring tools deployed across different layers of the stack. This approach simplifies engineering processes and accelerates both detection and resolution times.
"Our Unified Observability platform is a direct response to the escalating complexities of modern IT infrastructures. By consolidating metrics, events, logs, and traces into a single, powerful data lake, Kloudfuse eliminates the fragmentation and inefficiencies of traditional observability solutions. This approach not only accelerates detection and resolution times but also simplifies engineering and eliminates unnecessary costs of keeping multiple monitoring tools across different layers of the stack," says Pankaj Thakkar, CTO and co-founder of Kloudfuse.
Kloudfuse leverages existing agents and instrumentation from widely used tools like DataDog, New Relic, Splunk/SignalFx, Sumo Logic, Elastic, OTel, and Prometheus to eliminate the need for additional agents, simplifying onboarding and adoption.
Observability data is integrated into Kloudfuse’s Data Lake and analytics engine to facilitate pattern discovery and root cause analysis of performance issues.
“We understand that customers often already use various agents and data collectors. Kloudfuse integrates seamlessly with existing agents or open-source frameworks, eliminating the need for additional instrumentation. This provides a unified observability solution that's easy to implement and use," states Thakkar.
The platform integrates with open telemetry (OTel) and supports a range of open source query languages—such as PromQL, LogQL, TraceQL, GraphQL, and SQL— for root cause analysis. This flexibility fosters agility and broad adoption among engineering teams, while also accommodating future stack adjustments and changes. From a cost-savings standpoint, the platform provides a control plane for customers to manage their cost-performance ratios, usage, storage optimization, and data retention policies to safeguard against budget overruns.
Kloudfuse excels at managing all observability data types—metrics, events, logs and traces—allowing businesses to effortlessly unify their observability data into a single data lake. Powered by advanced analytics and AI/ML, Kloudfuse enables the discovery of anomalies, patterns, and previously unknown insights.
Beyond flexible data acquisition and integration, Kloudfuse provides robust data shaping capabilities.
“We understand that customers often already use various agents and data collectors. Kloudfuse integrates seamlessly with existing agents or open-source frameworks, eliminating the need for additional instrumentation. This provides a unified observability solution that's easy to implement and use," states Thakkar.
The platform integrates with open telemetry (OTel) and supports a range of open source query languages—such as PromQL, LogQL, TraceQL, GraphQL, and SQL— for root cause analysis. This flexibility fosters agility and broad adoption among engineering teams, while also accommodating future stack adjustments and changes. From a cost-savings standpoint, the platform provides a control plane for customers to manage their cost-performance ratios, usage, storage optimization, and data retention policies to safeguard against budget overruns.
Deployed within individual VPCs, Kloudfuse prioritizes data privacy and avoids vendor lock-in. Its high-availability architecture supports dynamic scaling across multi-node, multi-region environments and is compatible with any cloud, including AWS, Azure, and GCP.Our Unified Observability platform is a direct response to the escalating complexities of modern IT infrastructures. Kloudfuse integrates seamlessly with existing agents or opensource frameworks, eliminating the need for additional instrumentation
Kloudfuse excels at managing all observability data types—metrics, events, logs and traces—allowing businesses to effortlessly unify their observability data into a single data lake. Powered by advanced analytics and AI/ML, Kloudfuse enables the discovery of anomalies, patterns, and previously unknown insights.
Beyond flexible data acquisition and integration, Kloudfuse provides robust data shaping capabilities.
This includes aggregating, filtering, and transforming high-volume, high-cardinality data into lower-cardinality formats tailored to meet specific client data types or monitoring requirements.
Kloudfuse’s proficiency in data privacy has made it a go-to partner for HealthTech and Fintech companies prioritizing data security and regulatory compliance. A notable engagement with a Healthcare Unicorn exemplifies its capabilities. In this instance, Kloudfuse implemented OpenTelemetry instrumentation and helped the company migrate from a fragmented solution stack, including New Relic, Grafana, and Elastic, to the unified Kloudfuse platform.
In this journey, the company needed a private cloud solution to ensure the security of their sensitive health and customer data. This setup allowed the company to retain control over their data while benefiting from a SaaS-like management experience that Kloudfuse delivers with its control plane for enhanced visibility into observability costs, capacity planning, and lifecycle management. Above all, the strategic shift to Kloudfuse's platform significantly lightened the workload of the customer's developer and observability teams.
Moving away from a patchwork of tools that demanded extensive maintenance and contributed to a high mean time to resolution (MTTR), the company now enjoys a more efficient workflow and a 70% reduction in MTTR. Ultimately, the Kloudfuse platform significantly advanced observability practices, simplified troubleshooting workloads, and drove cost efficiencies by 50%.
With its increasing adoption across sectors mandating stringent data security and compliance and its cost-effective approach for high cardinality, high volume data desirable across all industries, Kloudfuse is setting a new standard in observability to help businesses unlock the full potential of their observability while maintaining the utmost cost control and compliance.
"Kloudfuse has pioneered an observability platform to solve critical market challenges. By addressing high operational costs and data privacy concerns head-on, we empower businesses to unlock the full potential of observability. Deployed within virtual private clouds (VPCs), we ensure robust data security while offering a tightly integrated control plane and data plane to help organizations track and optimize the costs of their observability and drive sustainable growth," concludes Thakkar.
Kloudfuse’s proficiency in data privacy has made it a go-to partner for HealthTech and Fintech companies prioritizing data security and regulatory compliance. A notable engagement with a Healthcare Unicorn exemplifies its capabilities. In this instance, Kloudfuse implemented OpenTelemetry instrumentation and helped the company migrate from a fragmented solution stack, including New Relic, Grafana, and Elastic, to the unified Kloudfuse platform.
In this journey, the company needed a private cloud solution to ensure the security of their sensitive health and customer data. This setup allowed the company to retain control over their data while benefiting from a SaaS-like management experience that Kloudfuse delivers with its control plane for enhanced visibility into observability costs, capacity planning, and lifecycle management. Above all, the strategic shift to Kloudfuse's platform significantly lightened the workload of the customer's developer and observability teams.
Moving away from a patchwork of tools that demanded extensive maintenance and contributed to a high mean time to resolution (MTTR), the company now enjoys a more efficient workflow and a 70% reduction in MTTR. Ultimately, the Kloudfuse platform significantly advanced observability practices, simplified troubleshooting workloads, and drove cost efficiencies by 50%.
With its increasing adoption across sectors mandating stringent data security and compliance and its cost-effective approach for high cardinality, high volume data desirable across all industries, Kloudfuse is setting a new standard in observability to help businesses unlock the full potential of their observability while maintaining the utmost cost control and compliance.
"Kloudfuse has pioneered an observability platform to solve critical market challenges. By addressing high operational costs and data privacy concerns head-on, we empower businesses to unlock the full potential of observability. Deployed within virtual private clouds (VPCs), we ensure robust data security while offering a tightly integrated control plane and data plane to help organizations track and optimize the costs of their observability and drive sustainable growth," concludes Thakkar.
