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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. In most cases, especially with more complex queries, Grail gives you answers at five to 100 times more speed than any other database you can use right now.”

Analytics 191
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Ingesting JMeter, temperature and humidity metrics: A Dynatrace innovation day report

Dynatrace

In this blog, I want to give you two examples of internal innovation projects at Dynatrace which leverage this new API, to truly show you the power – and the fun-ness of this new metric ingest ??. So stay tuned. The idea was inspired by an innovation day project of our lab in Klagenfurt. Goal: sending metrics to Dynatrace.

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Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Dynatrace

No observability, no gains All these factors have made ARM an attractive computing architecture for innovative companies. Now you have the additional value of log data informing your Dynatrace root cause analysis should a problem arise on this host. In the following example, a synthetic monitor is set up for webpage uptime monitoring.

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A three-step implementation guide to answer-driven SLO-based release validation

Dynatrace

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. Dynatrace news. And it’s not just the release validation.

DevOps 245
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Dynatrace Application Security detects and blocks attacks automatically in real-time

Dynatrace

In today’s world, the speed of innovation is key to business success. Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation and drive agility. We will further enhance the detection and blocking capability to cover additional attack types, so stay tuned for updates!

Traffic 237
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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. “Logging” is the practice of generating and storing logs for later analysis. Accelerated innovation. Dynatrace news. More automation.

Analytics 214
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Dynatrace launches automatic end-to-end observability via traces for AWS Lambda (Preview program)

Dynatrace

By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda. Serverless functions extend applications to accelerate speed of innovation. So please stay tuned! Improved mapping and topology detection.

Lambda 300