Build Reliable Government Services with Application Observability & Kafka Monitoring
When a citizen portal times out during filing season, a single sign-on integration fails across agencies, or a Kubernetes node drops mid-shift, engineering teams have minutes to find out why before a service disruption becomes a public incident. KLogic centralizes logs across hybrid cloud, identity, and application layers, correlates them with metrics and traces, and uses AI to point to the root cause, so incidents get resolved before they reach citizens or auditors.
Why Observability Matters for Government Agencies
Application reliability in government isn't just an uptime metric. It affects citizen services, public trust, operational continuity, emergency response, and your ability to demonstrate compliance during an audit.
Downtime Becomes a Public Story
A failed benefits application or a tax portal outage during filing season isn't an internal metric, it's a headline. Citizen-facing reliability is directly tied to public trust in digital government.
Modernization Means Hybrid, Not Homogeneous
Most agencies run modern Kubernetes workloads alongside legacy and mainframe systems, connected through APIs and message queues. Any one layer can fail without the others showing an obvious signal.
Every Incident Needs a Paper Trail
Compliance audits and security reviews assume you can reconstruct exactly what happened, when, and who accessed what across application, identity, and infrastructure logs.
Two Products, One Government Infrastructure Stack
Atatus and KLogic are built to work together, one covers your citizen-facing applications and infrastructure, the other covers the logs and integration traffic connecting agencies and systems.
Full-Stack Observability & APM
Unified monitoring across citizen-facing portals, case management systems, and backend agency services, the layer where the public interacts with government platforms.
- Application performance monitoring for citizen and agency services
- Real user monitoring for citizen portals and self-service applications
- Infrastructure monitoring across cloud, on-prem, and Kubernetes environments
- Distributed tracing across modernized microservices
AI-Powered Log Management & Investigation
Purpose-built visibility into the logs and integration traffic that carry identity, benefits, and case data across agencies and legacy systems where generic APM stops looking.
- Hybrid cloud and legacy/mainframe integration log correlation
- AI-assisted root cause investigation
- Kubernetes and distributed system log correlation
- Structured, retained audit logs for compliance reporting
Why Government Engineering Teams Choose KLogic
Traditional log management tools store and search text. KLogic is built to answer the question engineers actually have during an incident: what changed, where, and why.
Ranks likely root causes from correlated log, metric, and trace signals instead of leaving you to search manually.
Logs are automatically linked to the deployment, pod, and trace context they occurred in.
Ingest logs, metrics, and traces through a standard OpenTelemetry pipeline without vendor lock-in.
Follow a single citizen-facing request across every microservice, agency integration, and legacy system it touches.
Unified log visibility across commercial cloud, Azure Government, and on-premises infrastructure.
Repetitive, low-signal log lines are filtered and grouped so engineers see what actually changed.
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.