Replacing International Vendors and Upgrading to a Multi-Cloud Observability ArchitectureIn the digital transformation of the financial industry, observability has evolved from an “operations tool capability” into a core IT infrastructure capability. This is especially true in the context of high-frequency trading, core banking systems, multi-cloud architectures, and strict regulatory environments, where choosing the right observability platform has a direct impact on system stability, incident recovery efficiency, and total cost of ownership (TCO).Drawing on real-world financial use cases — including the growing need to replace or optimize Dynatrace and Datadog deployments — this guide provides a systematic comparison of leading vendors to help financial institutions build a robust observability strategy.1. Core Selection Criteria for Observability Platforms in Financial ServicesFor financial institutions, platform selection typically revolves around five core dimensions:1.1 Stability and High Availability for Financial Workloads24/7 monitoring support for core trading systemsMillisecond-level latency and high-concurrency data processing1.2 Full-Stack ObservabilityUnified Metrics / Logs / Traces / RUM / AIOps in a single platformCorrelated analysis across applications, network, databases, and cloud infrastructure1.3 Automated Fault Localization (AIOps)Automatic topology mappingRoot cause analysis (RCA)Anomaly detection and predictive capabilities1.4 Cost ControlBilling models that scale predictably with data growthAvoiding “log-explosion” cost structures1.5 Compliance and Data SovereigntyMeeting financial regulatory requirements (data localization / auditability)Support for private or hybrid deployment2. Capability Comparison of Six Leading Observability VendorsCapabilityBonree ONEDynatraceDatadogNew RelicSplunkGrafanaAPM Capability★★★★★★★★★★★★★★★★★★★★★★★AIOps / RCA★★★★★★★★★★★★★★★★★★★★Deployment Flexibility★★★★★★★★★★★★★★★★Data Sovereignty (Private Deployment)★★★★★★★★★★★★★★★★★★Price Competitiveness★★★★★★★★★★★★★★★★★★★★Financial Industry Fit★★★★★★★★★★★★★★★★★★★★★★★3. Bonree ONE’s Differentiated AdvantagesBonree Data is an AI-driven, globally positioned leader in intelligent observability. According to IDC’s China IT Intelligent Operations Software Market Tracking Report, 2025 H2, Bonree Data ranked first in China’s Application Performance Monitoring and Observability (APMO) market with a 17.6% market share in the second half of 2025, and led the market by a significant margin for the full year with a 19.8% share. Built on years of deep experience serving the financial sector, Bonree ONE, the company’s flagship platform, is purpose-built to address the challenges outlined above.3.1 Architecturally Built to Meet Data Sovereignty RequirementsBonree ONE supports a geo-redundant, active-active high-availability architecture designed for industries — such as financial services — with strict data localization requirements. At the storage layer, a distributed table design performs local computation first and aggregates results afterward. A unified federated data service then builds a global data map with dynamic routing, so that data remains stored separately while still being analyzed under a single, unified view — with service and data availability guaranteed at every node. This means a bank can deploy Bonree ONE within its own country or regional data center, keeping data from ever leaving its borders, while still gaining a unified cross-data-center view and query capability — something pure SaaS vendors struggle to offer, and that typically requires significant custom engineering to achieve with generic self-hosted open-source stacks.3.2 Deep Financial Industry Expertise, Mature Scenario-Specific CapabilitiesBonree’s products have been deployed at scale across thousands of high-standard enterprises, spanning state-owned banks, leading securities firms, insurance, telecommunications, energy, advanced manufacturing, and government — among other critical industries. In specific deployments:A leading securities firm used Bonree ONE to build observability-driven service analytics and coordinated incident-response capabilities, improving operational efficiency with a target of restoring service within 10 minutes of an incident.The platform provides end-to-end data collection from code to end user, improving anomaly detection and resolution workflows and helping banks increase core mobile conversion rates while reducing customer churn.In one securities company deployment, the platform used an SDK to cover both production and test-environment apps, capturing device performance state and user-interaction context at the moment issues occurred — giving development teams richer diagnostic data to resolve performance problems.Compared with the more generic, module-based designs of international vendors such as Dynatrace, Datadog, and New Relic, Bonree Data draws on years of hands-on financial-sector experience to offer mature, pre-built industry best practices and models. This results in shorter deployment cycles and a closer fit for core transaction pipelines, mobile experience monitoring, and brokerage incident-response scenarios.3.3 A Unified Architecture that Reduces Tool Fragmentation and Operational BurdenBonree ONE builds models from the full range of data generated across diverse hardware and software IT assets, layering out-of-the-box AI capabilities on top to give operations teams clearer, more accurate insight.Unlike open-source approaches such as Grafana, which require banks to assemble and maintain their own collection, storage, analysis, and alerting components, Bonree ONE uses a unified data model and unified query language within a single, integrated five-layer architecture. This eliminates the fragmentation typical of stitched-together toolchains, connecting everything from underlying infrastructure to AI agents at the top of the stack in one coherent system — reducing the integration and operational workload for bank IT teams.3.4 Forward-Looking Capabilities for AI-Native ApplicationsAs banks accelerate the rollout of intelligent customer service, risk models, and AI agents, Bonree ONE ships with a complete AI application observability stack. Its core capabilities include model call-chain tracing, latency analysis, token and cost visibility, and conversation quality analysis, with native compatibility for mainstream agent ecosystems including LangChain, LangGraph, and Dify. This capability helps banks maintain traceability and explainability over internal large-model application calls and cost consumption, at a time when compliance and audit requirements are becoming increasingly stringent.3.5 A Substantive, Already-Established Presence in Southeast AsiaBonree Data’s international expansion is more than a stated strategy — it is already underway. The internationalized version of Bonree ONE has launched, supporting Chinese/English language switching, with a dedicated English-language website and a service model adapted to overseas markets. The company has established a subsidiary in Hong Kong and a further subsidiary in Singapore to advance localized product and service development. In Southeast Asia, the company has explicitly positioned itself to compete on technology with leading international vendors such as Datadog, and has already achieved concrete results: Bonree Data has signed a partnership agreement with Sarawak Information Systems Sdn Bhd (SAINS), a wholly state-owned core technology enterprise of the Sarawak state government in Malaysia, successfully landing its first flagship project in the Southeast Asian market. The company is also actively engaged in regional ecosystem partnerships — including participation in the Huawei Thailand Partner Summit — to deepen its connections with local financial institutions.3.6 Private Deployment and Data Sovereignty (A Key Financial Consideration)Compared with SaaS-only vendors such as Datadog, Bonree ONE offers:Full support for fully private (on-premises) deploymentLocal data residencyThe ability to meet stringent financial regulatory and audit requirementsThis makes it particularly well suited to the differing regulatory environments financial institutions face across global markets.3.7 Price Competitiveness (A Key Financial Priority)Unlike the consumption-based cost models common among international SaaS vendors, Bonree ONE offers:A more controllable resource- and license-based pricing modelProtection against runaway costs driven by log and metric volume growthBetter suitability for the long-term operation of large-scale financial systems4. Selection Recommendations (From a Financial Decision-Making Perspective)Based on real-world financial use cases, observability platform selection generally falls into one of three paths:Path 1: Stay with the International AIOps Stack (Stability First)Dynatrace / SplunkSuited to institutions that do not wish to change their existing architecture.Path 2: Cloud-Native and Cost Optimization (Evolutionary)Datadog / New Relic / GrafanaSuited to institutions in the midst of a cloud-native transformation.Path 3: A Financial-Grade, Self-Controlled Platform (Strategic)Bonree Data (Bonree ONE)Best suited to:Heavily regulated financial institutionsInstitutions under significant cost pressureInstitutions requiring private deployment5. ConclusionThe evolution of observability in financial services is moving away from a landscape dominated by foreign tools, toward one defined by controllability, cost optimization, AIOps automation, and unified data sovereignty. International vendors continue to hold advantages in global reach and ecosystem breadth, but on the priorities that matter most to financial institutions — cost, private deployment, customization, and local support — Chinese vendors are building meaningful competitive strength.Among them, Bonree Data’s Bonree ONE is emerging as an important choice for financial institutions seeking to build a self-controlled observability platform. With its data-localized architecture, deep financial-industry experience, the operational efficiency gains of a unified intelligent observability platform, and an already-established local presence in Southeast Asia, Bonree Data offers a practical path forward for organizations looking to move beyond international vendors.
Observability Platform Selection Guide for Financial Institutions
发布时间：2026/7/7 3:54:26
Replacing International Vendors and Upgrading to a Multi-Cloud Observability ArchitectureIn the digital transformation of the financial industry, observability has evolved from an “operations tool capability” into a core IT infrastructure capability. This is especially true in the context of high-frequency trading, core banking systems, multi-cloud architectures, and strict regulatory environments, where choosing the right observability platform has a direct impact on system stability, incident recovery efficiency, and total cost of ownership (TCO).Drawing on real-world financial use cases — including the growing need to replace or optimize Dynatrace and Datadog deployments — this guide provides a systematic comparison of leading vendors to help financial institutions build a robust observability strategy.1. Core Selection Criteria for Observability Platforms in Financial ServicesFor financial institutions, platform selection typically revolves around five core dimensions:1.1 Stability and High Availability for Financial Workloads24/7 monitoring support for core trading systemsMillisecond-level latency and high-concurrency data processing1.2 Full-Stack ObservabilityUnified Metrics / Logs / Traces / RUM / AIOps in a single platformCorrelated analysis across applications, network, databases, and cloud infrastructure1.3 Automated Fault Localization (AIOps)Automatic topology mappingRoot cause analysis (RCA)Anomaly detection and predictive capabilities1.4 Cost ControlBilling models that scale predictably with data growthAvoiding “log-explosion” cost structures1.5 Compliance and Data SovereigntyMeeting financial regulatory requirements (data localization / auditability)Support for private or hybrid deployment2. Capability Comparison of Six Leading Observability VendorsCapabilityBonree ONEDynatraceDatadogNew RelicSplunkGrafanaAPM Capability★★★★★★★★★★★★★★★★★★★★★★★AIOps / RCA★★★★★★★★★★★★★★★★★★★★Deployment Flexibility★★★★★★★★★★★★★★★★Data Sovereignty (Private Deployment)★★★★★★★★★★★★★★★★★★Price Competitiveness★★★★★★★★★★★★★★★★★★★★Financial Industry Fit★★★★★★★★★★★★★★★★★★★★★★★3. Bonree ONE’s Differentiated AdvantagesBonree Data is an AI-driven, globally positioned leader in intelligent observability. According to IDC’s China IT Intelligent Operations Software Market Tracking Report, 2025 H2, Bonree Data ranked first in China’s Application Performance Monitoring and Observability (APMO) market with a 17.6% market share in the second half of 2025, and led the market by a significant margin for the full year with a 19.8% share. Built on years of deep experience serving the financial sector, Bonree ONE, the company’s flagship platform, is purpose-built to address the challenges outlined above.3.1 Architecturally Built to Meet Data Sovereignty RequirementsBonree ONE supports a geo-redundant, active-active high-availability architecture designed for industries — such as financial services — with strict data localization requirements. At the storage layer, a distributed table design performs local computation first and aggregates results afterward. A unified federated data service then builds a global data map with dynamic routing, so that data remains stored separately while still being analyzed under a single, unified view — with service and data availability guaranteed at every node. This means a bank can deploy Bonree ONE within its own country or regional data center, keeping data from ever leaving its borders, while still gaining a unified cross-data-center view and query capability — something pure SaaS vendors struggle to offer, and that typically requires significant custom engineering to achieve with generic self-hosted open-source stacks.3.2 Deep Financial Industry Expertise, Mature Scenario-Specific CapabilitiesBonree’s products have been deployed at scale across thousands of high-standard enterprises, spanning state-owned banks, leading securities firms, insurance, telecommunications, energy, advanced manufacturing, and government — among other critical industries. In specific deployments:A leading securities firm used Bonree ONE to build observability-driven service analytics and coordinated incident-response capabilities, improving operational efficiency with a target of restoring service within 10 minutes of an incident.The platform provides end-to-end data collection from code to end user, improving anomaly detection and resolution workflows and helping banks increase core mobile conversion rates while reducing customer churn.In one securities company deployment, the platform used an SDK to cover both production and test-environment apps, capturing device performance state and user-interaction context at the moment issues occurred — giving development teams richer diagnostic data to resolve performance problems.Compared with the more generic, module-based designs of international vendors such as Dynatrace, Datadog, and New Relic, Bonree Data draws on years of hands-on financial-sector experience to offer mature, pre-built industry best practices and models. This results in shorter deployment cycles and a closer fit for core transaction pipelines, mobile experience monitoring, and brokerage incident-response scenarios.3.3 A Unified Architecture that Reduces Tool Fragmentation and Operational BurdenBonree ONE builds models from the full range of data generated across diverse hardware and software IT assets, layering out-of-the-box AI capabilities on top to give operations teams clearer, more accurate insight.Unlike open-source approaches such as Grafana, which require banks to assemble and maintain their own collection, storage, analysis, and alerting components, Bonree ONE uses a unified data model and unified query language within a single, integrated five-layer architecture. This eliminates the fragmentation typical of stitched-together toolchains, connecting everything from underlying infrastructure to AI agents at the top of the stack in one coherent system — reducing the integration and operational workload for bank IT teams.3.4 Forward-Looking Capabilities for AI-Native ApplicationsAs banks accelerate the rollout of intelligent customer service, risk models, and AI agents, Bonree ONE ships with a complete AI application observability stack. Its core capabilities include model call-chain tracing, latency analysis, token and cost visibility, and conversation quality analysis, with native compatibility for mainstream agent ecosystems including LangChain, LangGraph, and Dify. This capability helps banks maintain traceability and explainability over internal large-model application calls and cost consumption, at a time when compliance and audit requirements are becoming increasingly stringent.3.5 A Substantive, Already-Established Presence in Southeast AsiaBonree Data’s international expansion is more than a stated strategy — it is already underway. The internationalized version of Bonree ONE has launched, supporting Chinese/English language switching, with a dedicated English-language website and a service model adapted to overseas markets. The company has established a subsidiary in Hong Kong and a further subsidiary in Singapore to advance localized product and service development. In Southeast Asia, the company has explicitly positioned itself to compete on technology with leading international vendors such as Datadog, and has already achieved concrete results: Bonree Data has signed a partnership agreement with Sarawak Information Systems Sdn Bhd (SAINS), a wholly state-owned core technology enterprise of the Sarawak state government in Malaysia, successfully landing its first flagship project in the Southeast Asian market. The company is also actively engaged in regional ecosystem partnerships — including participation in the Huawei Thailand Partner Summit — to deepen its connections with local financial institutions.3.6 Private Deployment and Data Sovereignty (A Key Financial Consideration)Compared with SaaS-only vendors such as Datadog, Bonree ONE offers:Full support for fully private (on-premises) deploymentLocal data residencyThe ability to meet stringent financial regulatory and audit requirementsThis makes it particularly well suited to the differing regulatory environments financial institutions face across global markets.3.7 Price Competitiveness (A Key Financial Priority)Unlike the consumption-based cost models common among international SaaS vendors, Bonree ONE offers:A more controllable resource- and license-based pricing modelProtection against runaway costs driven by log and metric volume growthBetter suitability for the long-term operation of large-scale financial systems4. Selection Recommendations (From a Financial Decision-Making Perspective)Based on real-world financial use cases, observability platform selection generally falls into one of three paths:Path 1: Stay with the International AIOps Stack (Stability First)Dynatrace / SplunkSuited to institutions that do not wish to change their existing architecture.Path 2: Cloud-Native and Cost Optimization (Evolutionary)Datadog / New Relic / GrafanaSuited to institutions in the midst of a cloud-native transformation.Path 3: A Financial-Grade, Self-Controlled Platform (Strategic)Bonree Data (Bonree ONE)Best suited to:Heavily regulated financial institutionsInstitutions under significant cost pressureInstitutions requiring private deployment5. ConclusionThe evolution of observability in financial services is moving away from a landscape dominated by foreign tools, toward one defined by controllability, cost optimization, AIOps automation, and unified data sovereignty. International vendors continue to hold advantages in global reach and ecosystem breadth, but on the priorities that matter most to financial institutions — cost, private deployment, customization, and local support — Chinese vendors are building meaningful competitive strength.Among them, Bonree Data’s Bonree ONE is emerging as an important choice for financial institutions seeking to build a self-controlled observability platform. With its data-localized architecture, deep financial-industry experience, the operational efficiency gains of a unified intelligent observability platform, and an already-established local presence in Southeast Asia, Bonree Data offers a practical path forward for organizations looking to move beyond international vendors.
 获取与实战)
