Chronosphere
Purpose built for cloud-native’s unique monitoring challenges. Built from day one to handle the outsized volume of monitoring data produced by cloud-native applications. Offered as a single centralized service for business owners, application developers and infrastructure engineers to debug issues throughout the stack. Tailored for each use case from sub-second data for continuous deployments to one hour data for capacity planning. One-click deployment with support for Prometheus and StatsD ingestion protocols. Storage and index for both Prometheus and Graphite data types in the same solution. Embedded Grafana compatible dashboards with full support for PromQL and Graphite. Dependable alerting engine with integration for PagerDuty, Slack, OpsGenie and webhooks. Ingest and query billions of metric data points per second. Trigger alerts, pull up dashboards and detect issues within a second. Keep three consistent copies of your data across failure domains.
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Uptycs
Uptycs is the first unified CNAPP and XDR platform. Reduce risk by prioritizing responses to threats, vulnerabilities, misconfigurations, sensitive data exposure, and compliance mandates. With Uptycs, you can protect your entire enterprise, from laptops and servers to public and private cloud infrastructure. The platform streamlines your response to threats and offers a single UI and data model for easy management. Uptycs ties together threat activity as it traverses on-prem and cloud boundaries, delivering a more cohesive security posture. If you're looking for a powerful security solution that eliminates silos and tool sprawl, Uptycs is the answer.
Looking for acronym coverage? We have you covered, including CNAPP, CWPP, CSPM, KSPM, CIEM, CDR, and XDR. Start with your Detection Cloud, Google-like search, and the attack surface coverage you need today. Be ready for what’s next.
Shift up with Uptycs.
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Prometheus
Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API.
Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.).
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Dash0
Dash0 is an OpenTelemetry-native observability platform for developers and SRE teams. Metrics, logs, traces, and resources sit in one place, linked by OpenTelemetry semantic conventions, so you move from a slow trace to the logs around it without switching tools.
Telemetry arrives over OTLP. No proprietary agent, nothing to re-instrument, and your data stays portable. Dash0 ingests Prometheus metrics alongside OpenTelemetry, supports PromQL, and imports existing Prometheus alerting rules and Grafana dashboards. A Kubernetes operator handles collection across clusters.
Dashboards are built on Perses and defined as code, so they live in Git alongside your infrastructure. Log AI infers severity, extracts patterns, and groups records, making unstructured third-party logs searchable. Trace triage uses the SIFT framework to narrow a failing request toward a cause.
Spend is visible in-product: see which services and log volumes drive cost, and cut them at the source.
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