Power Digital Banking with Application Observability & Kafka Monitoring
When a payment fails, a login times out, or a trading order doesn't confirm in time, your engineering team has minutes, sometimes seconds to find out why. Atatus gives you full-stack observability across your applications and infrastructure. KLogic gives you purpose-built monitoring for the Kafka pipelines that move transactions, fraud signals, and events between them.
Why Observability Matters in Financial Services
Financial services companies run on systems that cannot fail quietly. A five-minute outage in a consumer app is an inconvenience. A five-minute outage in a payment authorization pipeline or a stalled Kafka topic feeding your fraud engine is declined transactions, abandoned checkouts, and a call from a partner bank asking what happened.
Uptime is revenue and trust
Every failed transaction or timed-out login is a moment where a customer questions whether your platform is safe to use with their money. Reliability is the product experience.
Systems are distributed
Core banking, payment gateways, and fraud engines increasingly communicate through Kafka. A stalled consumer group or a lagging partition can silently delay fraud checks or ledger updates for minutes before anyone notices.
Regulators expect a paper trail
SOC 2, PCI DSS, and internal risk frameworks assume you can reconstruct what happened, when, and why across both the application layer and the event pipelines connecting it.
Two Products, One Financial Infrastructure Stack
Atatus and KLogic are built to be used together, one covers your applications and infrastructure, the other covers the Kafka backbone connecting them.
Full-Stack Observability & APM
Unified monitoring across your web, mobile, and backend applications, the layer where customers interact with your banking, payments, and trading products.
- Application performance monitoring (APM) for backend services
- Real user monitoring for customer-facing banking and trading apps
- Infrastructure monitoring across cloud and Kubernetes environments
- Error tracking and distributed tracing across microservices
- Synthetic monitoring for uptime and availability
Kafka Monitoring & Event Pipeline Intelligence
Purpose-built visibility into the Kafka pipelines that carry transactions, fraud signals, and ledger events between services where traditional APM tools stop looking.
- Consumer lag and partition-level health monitoring
- Broker performance and rebalance tracking
- Event flow tracing including stalled, dropped, or out-of-order messages
- AI-powered anomaly detection on topic-level throughput
- Correlation of Kafka pipeline events with downstream service logs
Why Engineering Teams Choose Atatus + KLogic
Traditional log management tools were built to store and search text. Atatus and KLogic are built to answer the question engineers actually have during an incident: what changed, where, and why, whether it happened in the application or in the pipeline connecting it.
Both products are built to get engineers from alert to root cause fast, not just to collect logs.
Application events and Kafka events are correlated automatically, not left in separate dashboards.
Surfaces the likely root cause directly, turning a 45-minute investigation into minutes.
Filters and groups repetitive, low-signal log noise so engineers see what changed.
Keeps the signal-to-cost ratio favorable as transaction and event volume grows.
Less context-switching between application tools and Kafka-specific tooling during incidents.
Explore Our Products
We needed application monitoring (APM and client side) for some of our internal applications and have finally been able to check all the boxes with Atatus at an affordable price. Easy to deploy and configure, immediately valuable and detailed metrics, and bonus--no extra charges for integrations, 2FA, and SSO. Wins all around.
Frequently Asked Questions
Let's build something worth measuring
Evaluating full-stack observability or Kafka monitoring? Talk to the team building both, not a reseller of either.