Apica
  • Solutions

    INTEGRATIONS

    Integrate with any data source, notify any service, authenticate your way, and automate everything.

    Learn More
  • Products
  • Resources

    Resources

    Use cases
    Case studies
    Datasheets
    White papers
  • Company

    About Us

    Apica keeps enterprises operating. The Ascent platform delivers intelligent data management to quickly find and resolve complex digital performance issues before they negatively impact the bottom line.
    Learn More
  • Login

    Get Started Free

    Get Enterprise-Grade Data Management Without the Enterprise Price Tag Manage Your Data Smarter – Start for Free
    Learn More
Guided Tour
Schedule a Demo
Apica

Modern Infrastructure Observability

Kubernetes-Native Observability for Modern Infrastructure

Gain real-time visibility into cloud-native platforms with monitoring designed for the dynamic, distributed nature of container orchestration.

Alert Management

The Problem

Platform Complexity Outpaces Traditional Monitoring

Platform engineering teams managing modern Kubernetes environments face unprecedented observability challenges. Traditional monitoring tools were built for static infrastructure, not ephemeral containers that spin up and down in seconds. The dynamic nature of cloud-native platforms — combined with multi-cloud deployments and microservices architectures — creates visibility gaps that impact reliability and slow down incident response.

The platform operations challenge:

  • Dynamic infrastructure: Kubernetes pods are ephemeral; traditional monitoring loses track of short-lived containers
  • High cardinality explosion: Container orchestration creates millions of unique metric combinations that overwhelm legacy tools
  • Multi-cloud complexity: Managing observability across AWS, Azure, GCP, and on-premises infrastructure fragments visibility
  • Platform sprawl: Average organizations use 10+ monitoring tools creating operational overhead and blind spots
  • Resource optimization: Difficulty understanding actual resource utilization versus requests/limits leads to waste or performance issues

The result: Platform teams struggle to maintain reliability, optimize costs, and troubleshoot issues in cloud-native environments.

Our Solution

Elastic, Kubernetes-Native Observability

Apica delivers observability built from the ground up for cloud-native platform operations. Our Kubernetes-native architecture automatically adapts to dynamic infrastructure changes, handles high cardinality data efficiently, and provides unified visibility across multi-cloud and hybrid environments — giving platform engineering teams complete control without complexity.

Built for platform teams:

  • Kubernetes-native architecture: Purpose-built to monitor dynamic container orchestration at scale
  • High cardinality support: Advanced data handling designed for millions of unique metric combinations
  • Multi-cloud visibility: Unified observability across AWS, Azure, GCP, and on-premises infrastructure
  • Elastic scalability: Instant throughput on-demand matches your infrastructure growth
  • Platform engineering workflows: Tools designed for teams managing shared services and infrastructure

The Apica advantage: Monitor modern platforms with observability that scales and adapts as fast as your infrastructure does.

active observability

How It Works

Complete Platform Visibility

Apica delivers cost optimization through our unified telemetry pipeline platform, giving you 100% control over data collection, processing, storage, and routing.

Real-time insights into every layer of your platform infrastructure with automatic discovery and intelligent analytics.

Kubernetes Observability

  • Automatic discovery and monitoring of clusters, nodes, pods, and containers
  • Real-time visibility into ephemeral workloads without configuration overhead
  • Track resource utilization (CPU, memory, network, storage) at cluster, namespace, and pod levels
  • Monitor Kubernetes control plane health and performance
  • Support for multi-cluster environments with centralized visibility

Container & Microservices Monitoring

  • Distributed tracing across microservices architectures
  • Service mesh integration (Istio, Linkerd, Consul)
  • Container-level metrics correlated with application performance
  • Automatic service dependency mapping

Multi-Cloud Infrastructure Visibility

  • Unified monitoring across AWS, Azure, Google Cloud, and on-premises
  • Cloud-agnostic telemetry collection and analysis
  • Cost attribution and resource optimization across cloud providers
  • Consistent observability experience regardless of infrastructure location

High Cardinality Data Management

  • Efficiently handle millions of unique label combinations from dynamic environments
  • No artificial limits on dimensions or tags
  • Query performance that scales with data complexity
  • Built to handle the cardinality explosion from container orchestration

Dynamic data collection that adapts automatically to platform changes without manual overhead.

Kubernetes-Native Collection

  • Automatic adaptation to pod creation, scaling, and termination
  • DaemonSet and sidecar deployment patterns supported
  • Efficient resource usage minimizes impact on workload performance
  • Built-in service discovery for dynamic endpoints

Universal Agent Support

  • Works with Prometheus, OpenTelemetry, Datadog agents, and custom collectors
  • No need to replace existing instrumentation
  • Simplified management of diverse agents across hybrid infrastructure

Edge and Distributed Monitoring

  • Monitor platform infrastructure across edge locations and remote sites
  • Optimized telemetry collection for bandwidth-constrained environments
  • Centralized visibility with distributed deployment

100% pipeline control to manage telemetry from Kubernetes and cloud-native infrastructure.

Intelligent Data Routing

  • Route platform metrics to specialized tools (Prometheus for metrics, Elasticsearch for logs)
  • Multi-destination support allows best-of-breed tool combinations
  • Filter and route based on namespace, cluster, or environment

Cost-Efficient Processing

  • Sample high-volume metrics to control costs without losing visibility
  • Drop low-value data (debug logs from non-production) before expensive indexing
  • Optimize data flow to reduce egress costs in multi-cloud deployments

Enrichment & Normalization

  • Add business context (team ownership, cost center, environment) to platform telemetry
  • Normalize metrics across heterogeneous Kubernetes distributions and cloud providers
  • Correlate infrastructure events with application performance

Powered by InstaStore™ for infinite retention of platform metrics and logs.

Long-Term Platform Analytics

  • Store years of Kubernetes metrics for capacity planning and trend analysis
  • Instant access to historical data for incident investigation
  • Analyze seasonal patterns and long-term infrastructure efficiency

Cost-Optimized Storage

  • Leverage object storage for infinite data retention without scaling penalties
  • 100% data indexed for instant query performance
  • No expensive hot/warm/cold tier management

The Result

Platform Operations That Scale

Platform Engineering Efficiency

Organizations using Apica achieve:

  • 80% reduction in time spent managing observability tools and agents
  • 50% improvement in resource utilization through better visibility into actual usage
  • 70% faster troubleshooting in Kubernetes environments with automatic service mapping
  • 40% cost savings on observability infrastructure through efficient data handling
ModularDataIllustration 2 03

Real-World Impact

Case Study: Cloud-Native FinTech Platform

  • Challenge: Managing 100+ Kubernetes clusters across AWS and Azure with 50,000+ pods
  • Solution: Apica platform for unified multi-cloud Kubernetes observability
  • Results:
    • Single pane of glass visibility across all clusters and clouds
    • Automatic discovery of 200+ daily pod deployments without configuration changes
    • Resource optimization identified $500K in annual cloud waste
    • Platform team productivity increased 60% through consolidated tooling

Case Study: Global SaaS Infrastructure

  • Challenge: High cardinality from 5,000+ microservices overwhelming legacy monitoring; MTTR averaging 40 minutes
  • Solution: Apica Observe with native high cardinality support and distributed tracing
  • Results:
    • Handled 10M+ unique metric combinations without performance degradation
    • MTTR reduced from 40 minutes to 12 minutes (70% improvement)
    • Automatic service dependency mapping accelerated root cause analysis
    • Eliminated need for 4 separate monitoring tools, reducing operational overhead

Why Apica For Platform Operations

Kubernetes-Native Architecture

Built from the ground up for container orchestration. Elastic Kubernetes-native architecture provides instant throughput on-demand, scaling automatically with your infrastructure.

High Cardinality by Design

Observability is built into our DNA. We’re designed to handle high cardinality data up front versus handling it as an afterthought. No limits on labels, tags, or dimensions.

Never Block, Never Drop

Our guarantee for platform teams: Infinite data reservoir with InstaStore™ technology prevents data loss. Zero telemetry dropped during collection or processing, even during traffic spikes.

Multi-Cloud Without Complexity

Cloud-agnostic observability that works consistently across AWS, Azure, GCP, and on-premises. One platform, one interface, complete visibility.

OpenTelemetry & Cloud Native Standards

Full support for OpenTelemetry, Prometheus, and CNCF ecosystem tools. Cloud Native Computing Foundation member committed to open standards.

Get Started

See Platform Observability in Action

Schedule a demo showcasing Kubernetes monitoring, multi-cloud visibility, and high cardinality handling.

Schedule a Demo

Try Kubernetes Monitoring Free

Get hands-on with cloud-native observability designed for platform engineering.

Start Free Trial

Platform Operations Documentation

Technical guides for monitoring Kubernetes, service meshes, and multi-cloud infrastructure.

View Documentation

Download Platform Engineering Guide

Best practices for observability in cloud-native environments.

Get the Guide

Additional Resources

Blog Posts

Products