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Efficient SLO event integration powers successful AIOps

Dynatrace

The first part of this blog post briefly explores the integration of SLO events with AI. Consequently, the AI is founded upon the related events, and due to the detection parameters (threshold, period, analysis interval, frequent detection, etc), an issue arose. See the following example with BurnRate formula for Failure rate event.

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Enhance efficiency and compliance with automated AWS tag change triggers: A step-by-step guide

Dynatrace

Cost optimization: Immediate responses to tag changes lead to informed decisions about scaling, shutting down unused instances, or fine-tuning resource efficiency. Verify event logging Check the EventBridge console to ensure your tag change triggered the appropriate event. Now, let’s get started with the setup!

AWS 147
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Using Event-Driven Ansible to Monitor Your Web Application

DZone

Event-driven automation enables systems to react instantly to specific triggers or events, enhancing infrastructure resilience and efficiency. A simple and effective method for implementing event-driven automation is through webhooks, which can initiate specific actions in response to events.

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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

These innovations promise to streamline operations, boost efficiency, and offer deeper insights for enterprises using AWS services. Gaining precise insights with Dynatrace integration for AWS EventBridge Now supporting a deeper integration with AWS EventBridge, Dynatrace is able to act as a consumer of AWS events.

AWS 298
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OpenPipeline: Simplify access to critical business data

Dynatrace

Business events: Delivering the best data It’s been two years since we introduced business events , a special class of events designed to support even the most demanding business use cases. Business event ingestion and analysis with log files. OpenPipeline: Simplify access and unify business events from anywhere.

Analytics 241
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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 251
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The keys to selecting a platform for end-to-end observability

Dynatrace

Part of the problem is technologies like cloud computing, microservices, and containerization have added layers of complexity into the mix, making it significantly more challenging to monitor and secure applications efficiently. Learn more about how you can consolidate your IT tools and visibility to drive efficiency and enable your teams.