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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

Second, embracing the complexity of OpenTelemetry signal collection must come with a guaranteed payoff: gaining analytical insights and causal relationships that improve business performance. The missed SLO can be analytically explored and improved using Davis insights on an out-of-the-box Kubernetes workload overview.

Analytics 280
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Geek Reading - Week of June 5, 2013

DZone

These items are a combination of tech business news, development news and programming tools and techniques. Making Google’s CalDAV and CardDAV APIs available for everyone ( Google Developers Blog). Pandora launches new HTML5 site for TVs and gaming consoles, available now on PS3 and Xbox 360 ( The Next Web). Java EE 7 is Final.

Java 244
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Log auditing and log forensics benefit from converging observability and security data

Dynatrace

Let’s explore how a log auditing and log forensics program can benefit from the convergence of observability and security data. Log auditing is a crucial part of building a comprehensive security program. for example, collate which and how many Java applications were attacked) Did we lose any critical data? What is log auditing?

Analytics 185
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Mastering MongoDB® Timeout Settings

Scalegrid

For example, your payment history might be on one database cluster and your analytics records on another cluster. If your analytics server is down, then each operation will wait for a default of 30 seconds before failing (which may or may not be what you want). x+ in Java).

Java 130
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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Java applications use a similar mechanism.). This can saturate the client’s CPU and delay responses, as illustrated in the following diagram: ScaleOut StateServer Pro: Integrated Data Analytics. In-Memory Data Grids for Fast-Changing Data.

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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Java applications use a similar mechanism.). This can saturate the client’s CPU and delay responses, as illustrated in the following diagram: ScaleOut StateServer Pro: Integrated Data Analytics. In-Memory Data Grids for Fast-Changing Data.

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Scalable Annotation Service?—?Marken

The Netflix TechBlog

All data should be also available for offline analytics in Hive/Iceberg. Base schemas Just like in Object Oriented Programming, our schema service allows schemas to be inherited from each other. Unlike Java, we support multiple inheritance as well. Annotations can be versioned. Currently the service has around 1.9