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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards. Database monitoring. This ensures the database queries are performant, while also identifying host problems. Cloud storage monitoring. Cloud monitoring types and how they work.

Cloud 214
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Reducing PostgreSQL Costs in the Cloud

Percona

Identifying which resources you can trim to reduce your monthly bill can be difficult, but looking at the right metrics will help you understand the application’s actual requirements. Configuration of the CPU metrics can be changed in the dashboard. Marked in red in Figure 1 is a server with less than 30% of CPU usage.

Cloud 116
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Conducting log analysis with an observability platform and full data context

Dynatrace

Logs highlight observability challenges Ingesting, storing, and processing the unprecedented explosion of data from sources such as software as a service, multicloud environments, containers, and serverless architectures can be overwhelming for today’s organizations. Grail enables 100% precision insights into all stored data.

Analytics 177
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Aurora vs RDS: How to Choose the Right AWS Database Solution

Percona

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52
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What is Google Cloud Functions?

Dynatrace

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Google Cloud Functions is a serverless compute service for creating and launching microservices. What is Google Cloud Functions?

Google 211
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Observability platform vs. observability tools

Dynatrace

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

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What is infrastructure monitoring and why is it mission-critical in the new normal?

Dynatrace

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.