Cloud Monitoring & Analytics
Harness the full potential of cloud insights. Ensure reliability, performance, and cost-efficiency with proactive monitoring and intelligent analytics.
Real-time Visibility, Intelligent Insights, and Resilient Infrastructure.sy
Unified Cloud Monitoring backed by Predictive Analytics to Strengthen Your Digital Ecosystem
Cloud Monitoring & Analytics by Warke Technologies offers a comprehensive suite that captures, analyzes, and visualizes your cloud workloads, applications, and infrastructure in real-time. With integrations into leading platforms and multi-cloud support, businesses can gain centralized visibility into their entire ecosystem with ease and precision.
We use advanced machine learning algorithms and telemetry analysis to provide intelligent alerts, detect performance anomalies, and forecast potential system failures—ensuring optimal health of your cloud assets. Our solution doesn’t just tell you what’s wrong, it helps you understand why and how to fix it before users are affected.
This empowers your teams to resolve issues faster, reduce mean-time-to-resolution (MTTR), optimize resource usage, and make informed architectural decisions that drive innovation and agility across your operations.
With over 50 best-in-class tools and platforms under our suite, Warke Technologies ensures you are always one step ahead. From performance metrics to advanced AI-driven observability, we bring unparalleled granularity and control across your entire cloud stack—so that your business can focus on what truly matters.sy
Unified Metrics Collection.
Utilize platforms like Prometheus, Zabbix, InfluxDB, and AWS CloudWatch to aggregate and visualize system metrics in real-time. Gain complete insight into CPU usage, memory allocation, and disk I/O across your instances and clusters.
Advanced Log Analytics.
Leverage ELK Stack, Sumo Logic, and Fluent Bit to centralize, parse, and analyze logs from containers, APIs, databases, and apps. Get end-to-end observability and quicker root cause analysis across microservices and workloads.
AI-Based Anomaly Detection.
AI/ML-backed platforms like Dynatrace, Moogsoft, and New Relic detect performance deviations and unusual activity, empowering teams to proactively address incidents before they impact end users.
Kubernetes & Container Monitoring.
Tools like Kube-State-Metrics, Lens, and Sysdig monitor pod health, node status, and container lifecycle events—providing deep visibility and control over your Kubernetes environments.
Serverless Function Tracing.
Gain deep insight into AWS Lambda, Azure Functions, and Google Cloud Functions using tools like Dashbird and Thundra. Monitor execution times, invocation errors, and throughput analytics in real-time.
Custom Dashboards & KPIs.
Use Grafana, Datadog, and Tableau to build real-time dashboards that showcase critical KPIs, SLOs, SLIs, and SLA trends. Enable data-driven decision making across business and operations.
Distributed Tracing Across Services.
Integrate Jaeger, OpenTelemetry, and AWS X-Ray to monitor request paths across APIs, databases, and microservices. Identify slow transactions and pinpoint failures in a service-oriented architecture.
Cloud Spend & Billing Visibility.
Visualize your multi-cloud spending patterns with tools like CloudHealth, Apptio, and FinOps. Monitor cloud budgets, forecast costs, and detect wastage across compute, storage, and network resources.
Security Monitoring & Compliance.
Track threat activity, security configurations, and access policies using platforms such as Splunk, Prisma Cloud, and Microsoft Defender for Cloud. Maintain audit trails, enforce compliance, and mitigate risks efficiently.
Incident Response & Auto-Remediation.
Integrate PagerDuty, OpsGenie, and Rundeck to build workflows for alert escalation and automated resolution. Minimize downtime with self-healing scripts, smart notifications, and defined SLAs.