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Create compelling insights into business and operational KPIs through metric calculations in the Data explorer

Dynatrace

Metrics matter. But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. Examples of metric calculations. Dynatrace news.

Metrics 246
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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

A Kubernetes-centric Internal Development Platform (IDP) enables platform engineering teams to provide self-service capabilities and features to their DevSecOps teams who need resilient, available, and secure infrastructure to build and deploy business-critical customer applications. Ensure that you get the most out of your product.

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Extend business observability: Extract business events from online databases (Part 2)

Dynatrace

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Dynatrace users typically use extensions to pull technical monitoring data, such as device metrics, into Dynatrace.

Database 274
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Optimising Largest Contentful Paint

CSS Wizardry

This genuinely surprises me, because LCP is the simplest metric to improve. The metrics above don’t matter in and of themselves, but it’s going to help your LCP if you can get them as low as possible. For the purposes of this article, I built a series of reduced demos showing how each of the LCP types behave. First Paint.

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Exploring Data @ Netflix

The Netflix TechBlog

Dynomite is a high-speed in-memory database, providing highly available cross datacenter replication while preserving Redis-like semantics. Browsing your accessible clusters in different environments and regions Schema Designer Writing CREATE TABLE statements can be an intimidating experience for new Cassandra users.

Metrics 152
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Dynatrace adds support for VPC Flow Logs to Kinesis Data Firehose

Dynatrace

automating ingestion of logs, metrics, and traces and continuous dependency mapping with precise context across hybrid and multicloud environments. Log Metrics create metrics from log data or log metadata that allow users to add to a dashboard or create custom alerting from each metric created.

Traffic 221
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Efficient SLO event integration powers successful AIOps

Dynatrace

Let’s assume we created a service-availability SLO, monitoring the request failure count against the overall request counts. Data Explorer “test your Metric Expression” for info result coming from the above metric. Contact us for a free demo. What characterizes a weak SLO? Interested in learning more?