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Dynatrace unveils Security Analytics to elevate threat detection, forensics, and incident response

Dynatrace

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. As our experience with MOVEit shows, IoCs that remained hidden in logs alone quickly revealed themselves with observability runtime context data, such as metrics, traces, and spans.

Analytics 220
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Dynatrace announces support of Google Cloud’s AlloyDB for PostgreSQL metrics ingest

Dynatrace

AlloyDB is a fully managed, PostgreSQL-compatible database service for highly demanding enterprise database workloads. With this Google Cloud Ready integration, Dynatrace ensures that AlloyDB for PostgreSQL users can now ingest metrics along with existing Google Cloud data.

Google 222
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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

As organizations continue to expand within cloud-native environments using Google Cloud, ensuring scalability becomes a top priority. Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. Learn to boost system reliability through proactive issue detection.

Google 264
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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

that offers security, scalability, and simplicity of use. already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. Python code also carries limited scalability and the burden of governing its security in production environments and lifecycle management.

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Easily monitor IBM i with updated Dynatrace extension

Dynatrace

It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. It also includes various built-in software components for database management, security, and application development. It then collects performance data using existing database services running on your system.

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Boost DevOps maturity with observability and a data lakehouse

Dynatrace

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. The sheer number of permutations can break traditional databases.

DevOps 186
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Percona Monitoring and Management 2 Scaling and Capacity Planning

Percona

These updates are designed to keep databases running at peak performance and simplify database operations. But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment.