
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
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...