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Google Cloud's Observability: Integrated Monitoring, Logging, and Trace Managed Services

Key Features

Google Cloud offers key features including real-time log management and analysis, built-in metrics observability at scale, a stand-alone managed service for running and scaling Prometheus, and monitoring and improving application performance. Cloud Logging allows for advanced performance, troubleshooting, security, and business insights using Log Analytics integrated with BigQuery. Cloud Monitoring provides visibility into performance, uptime, and health of cloud-powered applications, offering alerting capabilities. The Managed Service for Prometheus is built on a globally scalable data store, compatible with PromQL. Application Performance Management combines monitoring, troubleshooting, Cloud Trace, and Cloud Profiler for enhancing application efficiency.

Customers

Learn from customers like The Home Depot and Lowe’s on how they use Google Cloud's operations tools. These case studies showcase how large-scale retailers manage metrics across stores, evolve application development and deployment, and meet customer demands using Google SRE practices. Explore the success stories of other customers to understand the real-world applications and benefits of Google Cloud's Observability solutions.

What's New

Stay updated with Google Cloud's Observability through newsletters offering product updates, special offers, and event information. Access recent events like Twitter Space discussions on Log Analytics from Cloud Logging. Dive into blogs highlighting cloud computing stats, trends, and new features like Log Analytics going General Availability. By keeping informed on the latest updates, you can leverage the evolving features and enhancements of Google Cloud's Observability tools.

Documentation

Google Cloud provides comprehensive documentation on Observability, Cloud Monitoring, Cloud Logging, and related topics. Tutorials cover observability fundamentals, Cloud Monitoring features like metrics scopes and uptime checks, and Cloud Logging setup guides. Explore specialized documentation on monitoring and logging support for Google Kubernetes Engine, Google Cloud metrics, and hands-on labs to enhance your understanding and proficiency in utilizing Google Cloud's Observability tools.

Use Cases

Google Cloud's Observability caters to diverse use cases such as monitoring infrastructure and troubleshooting applications. For infrastructure monitoring, Cloud Logging and Cloud Monitoring offer out-of-the-box observability for IT Ops, SRE, and DevOps teams. Troubleshooting application performance includes reducing Mean Time to Recover (MTTR), optimizing application performance, and utilizing dashboards for insights and error identification. Explore tips, tutorials, best practices, and architectures tailored to specific use cases to maximize the effectiveness of Google Cloud's Observability suite.


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Enhancing Application Performance with Google Cloud's Observability Suite

Google Cloud's Observability Suite Overview

Google Cloud's Observability suite offers integrated monitoring, logging, and trace managed services that cater to applications and systems running on Google Cloud and beyond. This suite provides a comprehensive solution for enhancing application performance, improving reliability, and enabling efficient troubleshooting across various environments.

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Enhance Communication Services with Google Cloud Speech-to-Text

Benefits of Telecom Subscriber Insights

Telecom Subscriber Insights offers various benefits to communication service providers. It helps increase subscriber engagement by providing a holistic view of subscribers, which can improve the net promoter score. Additionally, it enhances Average Revenue Per User (ARPU) by enabling upsell and cross-sell opportunities. The platform also aids in retaining subscribers by facilitating conversions from prepaid to postpaid plans and promoting device upgrades.

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Enhancing Anti Money Laundering Measures with Google Cloud Speech-to-Text

Benefits of Anti Money Laundering AI

The Anti Money Laundering AI by Google Cloud Speech-to-Text offers a range of benefits to financial institutions. It significantly increases risk detection by detecting nearly 2-4 times more confirmed suspicious activities, thereby strengthening anti-money laundering programs. Moreover, it helps lower operational costs by eliminating over 60% of false positives, allowing investigators to focus on high-risk alerts. Additionally, the solution provides robust governance and defensibility, offering auditable and explainable outputs to support regulatory compliance and internal risk management.

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Accelerate Data Migration with Google Cloud Speech-to-Text Solution

Overview of BigQuery Migration Service

BigQuery is a unified AI-ready data platform designed to maximize value from data, supporting diverse analytics workloads and lakehouse capabilities. It offers a user-friendly interface for data professionals and is cost-effective, making it an ideal choice for businesses embracing AI technologies.

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Migrate to Virtual Machines - Seamless Cloud Migration by Google Cloud

Comprehensive Cloud Migration Solution

Migrate to Virtual Machines by Google Cloud offers an enterprise-grade migration solution for businesses of all sizes. Whether you are looking to move a single application or multiple enterprise-grade applications, this service empowers IT teams to smoothly transition their workloads to Google Cloud.

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