An organization can control how much overage should be charged beyond its plan limit. Cap unexpected data ingestion costs with fixed amount or percentage limits to stay within budget.

See Controlling Overage Costs documentation to learn more.

capabilities by integrating additional performance and user-experience metrics to provide more comprehensive visibility into application behavior. Implemented deeper analysis of key indicators such as page load time, response time, error rates, user sessions, and geographic performance trends to identify performance bottlenecks and reliability issues.

Check out the RUM Interface documentation for full details.

Check out TimeSeries Panel and Bar Chart Panel documentation for full details.

Launched Synthetic Monitoring for proactive uptime and availability checks across endpoints and services from multiple regions.

Supports HTTP, SSL, DNS, TCP, UDP, gRPC, WebSocket, ICMP, and push ping tests with real-time alerts, detailed analytics, and maintenance windows.

Check out Synthetic Monitoring documentation for full details.

Released a dedicated APM module offering comprehensive high-level analysis and insights across services.

This provides unified visibility into service performance, dependencies, traces, metrics, and bottlenecks for easier troubleshooting and optimization.

See APM & Services documentation for full details.

Introduced customizable color options for time series charts, including adjustable stroke width and fill settings.

Added support for attaching clickable links to dashboard panels and individual values for seamless navigation to related resources.

Introduced KloudMate-AI to investigate issues, error logs, and traces with a single click.

This enhancement analyzes root causes and recommends appropriate responses, enabling faster troubleshooting and resolution.

See KloudMate-AI documentation for full details.

Introduced a dedicated page to monitor all Kubernetes components in one place.

This enhancement provides intuitive navigation across clusters, nodes, namespaces, pods, and workloads, with sortable tables for CPU, memory, and other resource metrics to quickly spot under‑ or over‑utilized resources.

Opening any resource (like a node or pod) shows in‑depth time‑series metrics, historical logs, and context to streamline troubleshooting and root cause analysis.

See Kubernetes Module documentation for full details.

Introduced the to minimize instrumentation time and enable rapid integration with the KloudMate platform.

These lightweight agents automatically gather metrics, logs, and traces from applications and systems, forwarding them to KloudMate for full observability with a simple setup on , , , or .

Refer to KloudMate Agents documentation for complete information.