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Apica Grows Global SI Partner Network

Apica announced a significant expansion of its Global Partner Program, with a focused investment in growing revenue for systems integrators (SIs). 

At the center of the SI opportunity are two products from Apica: Flow, purpose-built to solve the defining infrastructure challenge of the AI era, getting the right telemetry data to the right place, reliably, at any scale, and Wayfinder/Test Data Orchestrator, which solves the equally critical pre-production challenge of getting the right test data to development and QA teams fast enough to keep pace with modern software delivery. As AI workloads and agentic architectures drive 10–100x increases in telemetry volume and test data complexity across enterprise environments, Flow and Wayfinder/Test Data Orchestrator give SIs two proven solutions to bring into every customer conversation.

Apica Flow is more than a telemetry pipeline. It is the connective layer that makes every tool in a customer's observability ecosystem work better. Flow captures telemetry data at the source, before it reaches expensive platform ingestion, then transforms, enriches, filters, and routes it to exactly where the customer needs it to go. The scope of use cases Flow addresses is broad by design:

  • Observability cost reduction: Filter, compress, and route data intelligently to cut per-byte ingestion costs by up to 40% without sacrificing visibility
  • Cloud and tool migration: Migrate from legacy platforms like Splunk or Elastic with zero downtime by routing telemetry to new destinations while maintaining continuity to existing tools
  • AI and LLM observability: Natively collect LLM-specific telemetry including token usage, latency, and prompt metadata via OTel, with filtering and redaction built in for regulatory compliance
  • Compliance and data governance: Route sensitive data to compliant destinations, redact PII at the pipeline layer, and enforce data residency requirements before ingestion
  • Security data routing: Forward security logs and events to SIEM platforms in real time alongside APM and observability data, from a single unified pipeline
  • Incident response and replay: Replay historical telemetry to any target for investigation, compliance audits, or destination migrations without data gaps
  • High-cardinality metrics at scale: Handle billions of unique metric streams without performance penalties, cost overruns, or dropped data

For SIs, this breadth is a commercial advantage. Flow is not a point solution that fits one customer profile. It is an enterprise-grade telemetry pipeline that fits nearly every customer profile, making it repeatable across an SI's entire book of business. Flow gives SIs a complete telemetry pipeline story: The intelligent layer that ensures data arrives at every destination in the right shape, at the right cost, with nothing lost along the way.

Apica Flow is OpenTelemetry (OTel)-native, fully aligned with the open-source observability framework governed by the Cloud Native Computing Foundation (CNCF) and backed by Google, Microsoft, AWS, and every major observability vendor. OTel has become the de facto standard for vendor-neutral telemetry collection, and Apica's commitment to it is foundational, not cosmetic.

Because Flow is OTel-native, it inherits OTel's interoperability by design. It ingests data from any OTel-compatible source, processes it through a flexible rules and enrichment engine, and forwards it to any downstream destination: Splunk, Datadog, Elasticsearch, Kafka, Amazon S3, Loki, Prometheus, Grafana, SIEM and security platforms, custom targets, and more.

There are no proprietary agents to install, no vendor formats to conform to, and no lock-in to manage. SIs can deploy Flow on top of whatever stack a customer already has, then evolve that stack over time without being constrained by their pipeline vendor.

This openness is also what makes Apica a stronger long-term partner than pipeline vendors that rely on proprietary architectures. When customers want flexibility in their observability strategy, and increasingly they do, an OTel-native pipeline is the only defensible foundation.

Apica Wayfinder/Test Data Orchestrator addresses one of the most persistent bottlenecks in enterprise software delivery: Test data. Wayfinder/TDO is a self-service, AI-assisted test data orchestration platform that enables development, QA, and business teams to provision right-sized, compliant test data on demand without specialist skills or manual data team involvement. Using explainable AI, Wayfinder generates production-like synthetic data with full referential integrity, automatically masks sensitive data before it reaches non-production environments, and calculates optimal test coverage so teams can iterate faster. The result: Test data footprints reduced by 90% or more, non-production storage costs cut significantly, and release cycles that no longer stall waiting for data.

For SIs, Wayfinder/TDO is a repeatable practice opportunity across any enterprise customer managing complex testing environments, financial services, healthcare, retail, and beyond. It works with existing test data management tools including IBM Optim, enhancing their value rather than replacing them, and is built for agentic AI readiness, with agent-ready, API-enabled architecture compatible with IBM watsonx Orchestrate and other agentic platforms. Any customer running pre-production environments at scale is a Wayfinder conversation.

"Systems integrators need solutions that are wide enough to fit any customer and deep enough to solve real problems. Flow is both. Whether a customer is trying to cut their Splunk bill, migrate to a modern observability stack, get their AI agents the clean data they need, or route security logs to their SIEM without standing up a separate pipeline, Flow handles it. And because it's OpenTelemetry-native, it works with whatever that customer already has. Our partners don't have to sell around their customer's existing investments. They sell with them. Wayfinder/TDO gives our partners a second practice area which is just as repeatable: Any enterprise running complex pre-production environments is a conversation, and the outcomes speak for themselves, provisioning time down from weeks to minutes, storage costs cut by 60–80%, and compliance risk reduced by design," Matt Wilkinson, Chief Operating Officer of Apica.

The Apica partner program supports SI partners through two structured tracks. The Reseller track is designed for SIs that sell and support the Apica product suite directly, offering competitive commissions on new ACV, renewal ACV, and Apica Professional Services, with streamlined contracting and an annual subscription model that generates predictable recurring revenue. Dedicated Partner Manager support, technical enablement, and co-branded marketing resources reduce the cost of building an Apica practice, while a current focus on Flow and Wayfinder ensures SIs can address the most active enterprise telemetry and data management requirements.

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Apica Grows Global SI Partner Network

Apica announced a significant expansion of its Global Partner Program, with a focused investment in growing revenue for systems integrators (SIs). 

At the center of the SI opportunity are two products from Apica: Flow, purpose-built to solve the defining infrastructure challenge of the AI era, getting the right telemetry data to the right place, reliably, at any scale, and Wayfinder/Test Data Orchestrator, which solves the equally critical pre-production challenge of getting the right test data to development and QA teams fast enough to keep pace with modern software delivery. As AI workloads and agentic architectures drive 10–100x increases in telemetry volume and test data complexity across enterprise environments, Flow and Wayfinder/Test Data Orchestrator give SIs two proven solutions to bring into every customer conversation.

Apica Flow is more than a telemetry pipeline. It is the connective layer that makes every tool in a customer's observability ecosystem work better. Flow captures telemetry data at the source, before it reaches expensive platform ingestion, then transforms, enriches, filters, and routes it to exactly where the customer needs it to go. The scope of use cases Flow addresses is broad by design:

  • Observability cost reduction: Filter, compress, and route data intelligently to cut per-byte ingestion costs by up to 40% without sacrificing visibility
  • Cloud and tool migration: Migrate from legacy platforms like Splunk or Elastic with zero downtime by routing telemetry to new destinations while maintaining continuity to existing tools
  • AI and LLM observability: Natively collect LLM-specific telemetry including token usage, latency, and prompt metadata via OTel, with filtering and redaction built in for regulatory compliance
  • Compliance and data governance: Route sensitive data to compliant destinations, redact PII at the pipeline layer, and enforce data residency requirements before ingestion
  • Security data routing: Forward security logs and events to SIEM platforms in real time alongside APM and observability data, from a single unified pipeline
  • Incident response and replay: Replay historical telemetry to any target for investigation, compliance audits, or destination migrations without data gaps
  • High-cardinality metrics at scale: Handle billions of unique metric streams without performance penalties, cost overruns, or dropped data

For SIs, this breadth is a commercial advantage. Flow is not a point solution that fits one customer profile. It is an enterprise-grade telemetry pipeline that fits nearly every customer profile, making it repeatable across an SI's entire book of business. Flow gives SIs a complete telemetry pipeline story: The intelligent layer that ensures data arrives at every destination in the right shape, at the right cost, with nothing lost along the way.

Apica Flow is OpenTelemetry (OTel)-native, fully aligned with the open-source observability framework governed by the Cloud Native Computing Foundation (CNCF) and backed by Google, Microsoft, AWS, and every major observability vendor. OTel has become the de facto standard for vendor-neutral telemetry collection, and Apica's commitment to it is foundational, not cosmetic.

Because Flow is OTel-native, it inherits OTel's interoperability by design. It ingests data from any OTel-compatible source, processes it through a flexible rules and enrichment engine, and forwards it to any downstream destination: Splunk, Datadog, Elasticsearch, Kafka, Amazon S3, Loki, Prometheus, Grafana, SIEM and security platforms, custom targets, and more.

There are no proprietary agents to install, no vendor formats to conform to, and no lock-in to manage. SIs can deploy Flow on top of whatever stack a customer already has, then evolve that stack over time without being constrained by their pipeline vendor.

This openness is also what makes Apica a stronger long-term partner than pipeline vendors that rely on proprietary architectures. When customers want flexibility in their observability strategy, and increasingly they do, an OTel-native pipeline is the only defensible foundation.

Apica Wayfinder/Test Data Orchestrator addresses one of the most persistent bottlenecks in enterprise software delivery: Test data. Wayfinder/TDO is a self-service, AI-assisted test data orchestration platform that enables development, QA, and business teams to provision right-sized, compliant test data on demand without specialist skills or manual data team involvement. Using explainable AI, Wayfinder generates production-like synthetic data with full referential integrity, automatically masks sensitive data before it reaches non-production environments, and calculates optimal test coverage so teams can iterate faster. The result: Test data footprints reduced by 90% or more, non-production storage costs cut significantly, and release cycles that no longer stall waiting for data.

For SIs, Wayfinder/TDO is a repeatable practice opportunity across any enterprise customer managing complex testing environments, financial services, healthcare, retail, and beyond. It works with existing test data management tools including IBM Optim, enhancing their value rather than replacing them, and is built for agentic AI readiness, with agent-ready, API-enabled architecture compatible with IBM watsonx Orchestrate and other agentic platforms. Any customer running pre-production environments at scale is a Wayfinder conversation.

"Systems integrators need solutions that are wide enough to fit any customer and deep enough to solve real problems. Flow is both. Whether a customer is trying to cut their Splunk bill, migrate to a modern observability stack, get their AI agents the clean data they need, or route security logs to their SIEM without standing up a separate pipeline, Flow handles it. And because it's OpenTelemetry-native, it works with whatever that customer already has. Our partners don't have to sell around their customer's existing investments. They sell with them. Wayfinder/TDO gives our partners a second practice area which is just as repeatable: Any enterprise running complex pre-production environments is a conversation, and the outcomes speak for themselves, provisioning time down from weeks to minutes, storage costs cut by 60–80%, and compliance risk reduced by design," Matt Wilkinson, Chief Operating Officer of Apica.

The Apica partner program supports SI partners through two structured tracks. The Reseller track is designed for SIs that sell and support the Apica product suite directly, offering competitive commissions on new ACV, renewal ACV, and Apica Professional Services, with streamlined contracting and an annual subscription model that generates predictable recurring revenue. Dedicated Partner Manager support, technical enablement, and co-branded marketing resources reduce the cost of building an Apica practice, while a current focus on Flow and Wayfinder ensures SIs can address the most active enterprise telemetry and data management requirements.

The Latest

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...