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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. What is Prometheus?

Metrics 183
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Extend business observability: Extract business events from online databases (Part 1)

Dynatrace

Dynatrace business events provide precise, real-time business metrics that support fine-grained business decisions and auditable business reporting. There are also many cases where business data—transactional, inventory, or financial—is at rest or in use , stored in a database. This can be accomplished using Dynatrace extensions.

Database 231
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Automating Success: Building a better developer experience with platform engineering

Dynatrace

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

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Dynatrace announces support of Google Cloud’s AlloyDB for PostgreSQL metrics ingest

Dynatrace

AlloyDB is a fully managed, PostgreSQL-compatible database service for highly demanding enterprise database workloads. With this Google Cloud Ready integration, Dynatrace ensures that AlloyDB for PostgreSQL users can now ingest metrics along with existing Google Cloud data.

Google 225
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Intelligent observability for Oracle and SQL databases

Dynatrace

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure.

Database 243
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2019 Database Trends – SQL vs. NoSQL, Top Databases, Single vs. Multiple Database Use

Scalegrid

Wondering which databases are trending in 2019? We asked hundreds of developers, engineers, software architects, dev teams, and IT leaders at DeveloperWeek to discover the current NoSQL vs. SQL usage, most popular databases, important metrics to track, and their most time-consuming database management tasks.

Database 255
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2019 Database Trends – SQL vs. NoSQL, Top Databases, Single vs. Multiple Database Use

High Scalability

Wondering which databases are trending in 2019 ? We asked hundreds of developers, engineers, software architects, dev teams, and IT leaders at DeveloperWeek to discover the current NoSQL vs. SQL usage, most popular databases, important metrics to track, and their most time-consuming database management tasks.

Database 278