Use Case Cloud Migration & Modernization

Migrate from Legacy Tools with Zero Downtime

Transition from Splunk, legacy platforms, and on-premises infrastructure to modern observability without business disruption and land in a cloud-native architecture that’s ready for the AI workloads driving your migration in the first place.

Zero

Data loss during migration with Never Block, Never Drop guarantee

40%

Observability cost reduction achievable during migration, not after

47%

Cost reduction achieved by month 4 in Apica customer migrations, while still running parallel systems

100%

Visibility maintained across legacy and cloud throughout multi-year programs

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Common scenarios we solve

Big-bang Splunk cutover — one failed migration window means hours of monitoring blackout

BEFORE

Dual-ship telemetry to both platforms simultaneously — zero data loss, roll back any time

AFTER

Lift-and-shift migration doubles observability costs — legacy inefficiencies carried into the cloud

BEFORE

40% cost reduction during migration — pre-Splunk filtering delivers savings from day one

AFTER

Hybrid infrastructure creates fragmented visibility — separate tools for on-premises and cloud

BEFORE

Unified view across legacy and cloud throughout multi-year migration — no blind spots, ever

AFTER

Cloud migration driven by AI readiness — but landing in a modern observability architecture that still can't handle agentic telemetry volumes

BEFORE

Pipeline-first architecture that's agentic-ready from day one — your observability migrates forward, not sideways

AFTER

The Problem

Cloud Migration Creates Observability Gaps

Organizations modernizing their infrastructure face a critical challenge: maintaining visibility during the transition. Migrating from legacy tools like Splunk or on-premises monitoring platforms to cloud-native observability creates risks — data loss during cutover, performance degradation due to unfamiliar tooling, compliance violations from data residency changes, and business disruption if monitoring fails during migration.

In 2025 and 2026, a new forcing function is accelerating cloud migration: AI readiness. Traditional on-premises infrastructure cannot support AI workloads that require elastic GPU access, petabyte-scale data processing, and the real-time telemetry pipelines that agentic systems demand. Organizations are migrating to cloud not just to modernize but to enable the AI agents that represent their next competitive frontier. That makes the observability layer you land in more consequential than ever. A migration that delivers cloud infrastructure without agentic-ready telemetry management is a migration that sets up the next disruption.

Business continuity risk

Switching observability platforms creates potential for monitoring gaps during critical transition periods.
Vendor lock-in

Legacy platforms like Splunk make migration expensive and complex through proprietary data formats.
Cost explosion

Lift and shift approaches to cloud often result in 2–3x increase in observability costs.
Tool sprawl

Organizations add cloud-native tools without removing legacy systems, creating operational overhead.
Hybrid complexity

Maintaining visibility across on-premises and cloud during multi-year migrations.
AI readiness gap

Migrating to cloud to enable AI workloads, then landing in an observability architecture not built for 10–100x agentic telemetry volumes, leaving teams to face the same architectural disruption again within 18 months.

Failed migrations result in observability gaps that impact reliability, compliance violations, and cost overruns that undermine cloud business cases.

The migration risk

Weeks to months

Typical parallel operation window when migrating observability platforms without a safety net, during which any gap creates irrecoverable data loss

Significantly higher

Observability costs when lift-and-shift migrations carry legacy inefficiencies into cloud environments; research finds post-migration costs typically run 20–25% above estimates in the first year without optimization

Zero tolerance

For monitoring gaps during migration: any interruption in a traditional cutover means lost telemetry that can't be recovered

8-12 months

Typical enterprise migration wave duration per current industry data; large multi-wave programs extend 18–24 months, requiring continuous observability throughout

Our Solution

Risk-Free Migration with Parallel Operations — Landing in an Agentic-Ready Architecture

Apica enables zero-downtime migration from legacy observability platforms to modern, cost-efficient telemetry management. Our approach doesn't force rip-and-replace. Instead, we run parallel with existing tools during migration, providing safety net visibility while you transition at your own pace. And when migration is complete, you land in a pipeline-first, agentic-ready architecture built to handle the AI workloads that are driving cloud modernization across the enterprise.

Before Apica

Big-bang cutover risk: Switching platforms creates monitoring gaps that expose critical systems
Vendor lock-in: Splunk and legacy proprietary formats make data portability expensive
Cost explosion: Lift-and-shift approaches carry legacy inefficiencies into cloud environments
Hybrid blind spots: Separate tools for on-premises and cloud create fragmented visibility
Skills gap: Teams trained on legacy tools struggle during platform transitions
AI readiness debt: Migrating to a modern observability platform that still isn't built for agentic AI telemetry volumes, setting up the next costly migration before the current one is finished

With Apica

Parallel operation: Dual-ship telemetry to legacy and new platforms simultaneously during transition
Incremental migration: Move workload by workload, team by team, at your own pace
Zero data loss: Never Block, Never Drop guarantee ensures complete visibility throughout migration
Cost optimization: Reduce overall observability spend 40% even while running parallel systems
Hybrid visibility: Unified platform for on-premises and cloud infrastructure during transition
Agentic-ready landing: Migrate into a pipeline-first architecture built for AI-era data volumes so the observability foundation you build today supports the AI workloads arriving tomorrow

The Apica advantage: We make migration safe, gradual, and economically beneficial, not a high-risk, big-bang event. And we make the destination worth arriving at.

How It Works

Parallel Migration Without Risk

Apica's dual-ship architecture lets you run legacy and modern observability in parallel, validating data parity before cutting over, with zero business disruption at every stage. And the architecture you migrate into is purpose-built for what comes next: Agentic AI workloads that demand elastic, pipeline-first telemetry management.

Dual-Ship Telemetry

Route the same telemetry to both legacy (Splunk, legacy TSDB) and Apica simultaneously
Validate data parity between old and new platforms before cutting over
Zero data loss during the entire migration period
Switch traffic gradually — 10%, 25%, 50%, 100% — with rollback at any point

Cost Optimization During Migration

Reduce observability spend 40% even while running both systems in parallel
Pre-Splunk filtering reduces ingestion volume before migration completes
Identify and eliminate redundant data streams early in the process
Business case improves month-over-month throughout the migration

Hybrid Infrastructure Visibility

Single platform for on-premises and cloud during multi-year migration programs
Consistent monitoring across legacy data centers and cloud-native workloads
Migration progress dashboards showing data flow between environments
Compliance continuity — data residency controls maintained throughout

Zero Data Loss Architecture

Never Block, Never Drop guarantee — all telemetry captured at every stage
Data replay capability covers any gaps from configuration changes during migration
Historical data accessible across both environments during parallel phase
Post-migration, full history available in Apica without re-ingestion

Agentic-Ready Architecture at Landing

The reason most organizations are accelerating cloud migration in 2025 and 2026 is AI. Traditional infrastructure cannot support AI workloads requiring elastic GPU access, petabyte-scale pipelines, and the 10–100x telemetry volumes that production AI agents generate. Apica ensures the observability architecture you migrate into is built for what's coming:

Pipeline-first design routes, filters, and governs AI agent telemetry before costly platform ingestion, from day one post-migration
Elastic, Kubernetes-native architecture scales instantly to accommodate AI-scale data volumes without reconfiguration
OpenTelemetry-native collection future-proofs instrumentation. Instrument once, route anywhere, eliminate the next migration pain
InstaStore™ provides infinite, instantly queryable retention for AI agent interaction histories, decision logs, and compliance records at object storage economics
Never Block, Never Drop guarantee extends to AI workloads. No telemetry dropped regardless of volume spikes from agentic systems

The Result

Migration That Pays for Itself

Zero

Data loss through every migration stage with Never Block, Never Drop

40%

Observability cost reduction achieved during migration, not after

47%

Customer-reported cost reduction by month 4, while still running parallel systems

100%

Visibility maintained across legacy and cloud throughout multi-year programs

Customer Results

Results based on Apica customer deployments. Individual results may vary based on environment complexity and implementation scope.

Enterprise SaaS: Platform Migration

Challenge

$8M annual Splunk spend. Migration needed without monitoring gaps during transition. 18-month program with 300+ services to move.

Solution

Apica parallel operation with dual-ship pipeline — telemetry routed to both Splunk and Apica simultaneously. Gradual 25/50/75/100% traffic shift over 8 months.

Results

47% cost reduction achieved by month 4 — still running both platforms
Zero monitoring gaps during entire 8-month migration
Data parity validated at each traffic milestone before progressing
Complete Splunk migration completed — $3.8M annual savings locked in

Customer Results

Results based on Apica customer deployments. Individual results may vary based on environment complexity and implementation scope.

Financial Services: Cloud Modernization

Challenge

12-year-old on-premises monitoring stack. Cloud migration required maintaining hybrid visibility for 2+ years during transition.

Solution

Apica hybrid deployment spanning on-premises data centers and AWS, with unified dashboards and alerting across both environments.

Results

100% visibility maintained across legacy and cloud environments throughout migration
Compliance data residency controls preserved during all migration stages
52% reduction in monitoring costs within 6 months of parallel operation
Full cloud migration completed with zero audit findings on observability continuity

Customer Results

Results based on Apica customer deployments. Individual results may vary based on environment complexity and implementation scope.

Emerging Use Case: Migrating to Enable Agentic AI

Challenge

For a growing share of organizations, cloud migration in 2025 and 2026 is fundamentally about AI readiness: Getting infrastructure and data pipelines into a state where AI agents can be deployed reliably at scale. Industry research confirms that traditional on-premises infrastructure cannot support the elastic GPU access, petabyte-scale data processing, and real-time telemetry pipelines that agentic systems require.

Solution

Apica supports this migration pattern directly.

Results

Migrate your observability infrastructure and your telemetry pipeline simultaneously, landing in an agentic-ready architecture rather than a modern-but-not-AI-ready one
Ensure the pipeline you build during migration can handle 10–100x telemetry growth from production AI agents without reconfiguration or additional cost
Use the migration moment to standardize on OpenTelemetry instrumentation so future model changes, agent deployments, or platform swaps don't trigger another migration cycle
Land with complete data ownership and open formats. No vendor lock-in that constrains AI data strategy as governance requirements evolve

The organizations that treat cloud migration as an AI readiness initiative, not just a platform modernization, will avoid the architectural debt that's already building up at competitors.

Why Apica

Migration That Protects Your Business — and Prepares It for What's Next

Unlike forced rip-and-replace migrations, Apica's parallel approach protects business continuity, reduces risk, and delivers cost savings during the migration itself. And unlike observability platforms that modernize your tooling without modernizing your architecture, Apica lands you in a pipeline-first, agentic-ready foundation built for the AI era.

Safety Net Architecture

Migration Approach

Dual-ship telemetry to both legacy and modern platforms simultaneously. Validate data parity, migrate workloads gradually, and roll back instantly — with full visibility at every stage.

ROI During Migration

Economic Benefit

40% cost reduction achievable even while running parallel systems. Pre-Splunk filtering and intelligent routing start delivering savings from day one — you don't have to wait for migration to complete.

Never Block, Never Drop

Reliability Guarantee

No data loss at any migration stage. Data replay covers configuration gaps. Complete historical context available across both systems throughout the transition period.

Hybrid by Design

Platform Capability

Built for the realities of multi-year migration programs. Unified visibility across on-premises and cloud environments. Compliance and data residency controls maintained throughout.

Agentic-Ready at Landing

Architecture Principle

The destination matters as much as the journey. Apica's pipeline-first architecture means the observability foundation you build during migration is already designed for the AI workloads that are driving cloud modernization across the enterprise. Elastic, Kubernetes-native, Never Block Never Drop and built for 10–100x telemetry growth without reconfiguration. Migrate once. Don't migrate again.

Additional Resources