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Protect your organization against zero-day vulnerabilities

Dynatrace

Typically, organizations might experience abnormal scanning activity or an unexpected traffic influx that is coming from one specific client. Log4Shell is a widespread software vulnerability that occurred in December of 2021 in Apache Log4j 2, a popular Java library for logging error messages in applications.

Java 187
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Dynatrace Application Security detects and blocks attacks automatically in real-time

Dynatrace

WAFs protect the network perimeter and monitor, filter, or block HTTP traffic. Compared to intrusion detection systems (IDS/IPS), WAFs are focused on the application traffic. RASP solutions sit in or near applications and analyze application behavior and traffic. How to get started.

Traffic 234
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured. We chose Open-Zipkin because it had better integrations with our Spring Boot based Java runtime environment.

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Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

Looking across a set of eight Java benchmarks, we find that only two of them are array dominated, the rest having between 40% to 75% of the heap footprint allocated to objects, the vast majority of which are small. Consider a B-Tree node from the B-tree Java benchmark: Uncompressed, it’s memory layout looks like (a) below.

Cache 61
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The Speed of Time

Brendan Gregg

Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. There's no Java stack—there should be a tower of green Java methods—instead there's only a single green frame or two. us on Centos and 0.68

Speed 126
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The Speed of Time

Brendan Gregg

Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. There's no Java stack—there should be a tower of green Java methods—instead there's only a single green frame or two. us on Ubuntu.

Speed 52
article thumbnail

The Speed of Time

Brendan Gregg

Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. There's no Java stack—there should be a tower of green Java methods—instead there's only a single green frame or two. us on Centos and 0.68

Speed 40