Real-time log management and analysis
Cloud Logging is a fully managed service that performs at scale and can ingest application and platform log data, as well as custom log data from GKE environments, VMs, and other services inside and outside of Google Cloud. Get advanced performance, troubleshooting, security, and business insights with Log Analytics, integrating the power of BigQuery into Cloud Logging.
Built-in metrics observability at scale
Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Collect metrics, events, and metadata from Google Cloud services, hosted uptime probes, application instrumentation, and a variety of common application components. Visualize this data on charts and dashboards and create alerts so you are notified when metrics are outside of expected ranges.
Stand-alone managed service for running and scaling Prometheus
Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring solution, built on top of the same globally scalable data store as Cloud Monitoring. Keep your existing visualization, analysis, and alerting services, as this data can be queried with PromQL or Cloud Monitoring.
Monitor and improve your application's performance
Application Performance Management (APM) combines the monitoring and troubleshooting capabilities of Cloud Logging and Cloud Monitoring with Cloud Trace and Cloud Profiler to help you reduce latency and cost so you can run more efficient applications.
meshIQ is an advanced middleware observability and management platform tailored for complex IT environments. It empowers teams to efficiently manage hybrid, multi-middleware infrastructures, providing clarity and control for seamless modernization without disruption.
meshIQ offers comprehensive multi-middleware observability and specialized Kafka management. It supports seamless observability and control, whether dealing with legacy systems like IBM MQ or streaming technologies such as Apache Kafka. By ensuring uninterrupted transitions from legacy to modern platforms, it reduces downtime risks. meshIQ's unified interface consolidates performance insights, enabling real-time analytics and proactive monitoring to swiftly resolve issues and optimize operations.
What features define meshIQ?
- Kafka-Specific Management: Offers specialized tools for managing Kafka environments effectively.
- Seamless Migration: Ensures zero downtime during transitions from legacy to modern middleware.
- Unified Observability: Provides real-time analytics and performance insights across middleware ecosystems.
- Cost Efficiency: Utilizes automated workflows and monitoring to decrease operational costs significantly.
- Operational Agility: Simplifies complex tasks to enhance middleware system reliability and responsiveness.
What benefits and ROI should you expect?
- Reduced Downtime: Guarantees minimal service interruption during migrations.
- Cost Savings: Achieves up to 50% reduction in middleware support expenses.
- Enhanced Reliability: Increases operational resilience and reliability of middleware environments.
- Improved Efficiency: Provides rapid issue resolution, decreasing MTTR.
meshIQ is implemented across industries to manage middleware landscapes that integrate legacy and modern systems like Apache Kafka. This adaptability allows industries to maintain resilience and optimize middleware for both current and future technological demands.
