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What is security analytics?

Dynatrace

Vulnerabilities can enter the software development lifecycle (SDLC) at any stage and can have significant impact if left undetected. They can also develop proactive security measures capable of stopping threats before they breach network defenses. Dehydrated data has been compressed or otherwise altered for storage in a data warehouse.

Analytics 220
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Jaeger and ScyllaDB Integration: High Performance at Scale

DZone

Jaeger has gained significant popularity in the software development community due to its powerful capabilities and ease of integration with various programming languages and frameworks. Use the best-performing Jaeger storage backend that you can find.

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How Dynatrace protects its software development and delivery life cycle against supply chain attacks

Dynatrace

Security controls in the software development life cycle (SDL). Typically, the attackers attempt to exploit some weakness in the vendor’s development or delivery life cycle and attempt to inject malicious code before an application is signed and certified. Security controls in the software development life cycle (SDL).

Software 223
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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). Linux System Mining with Python ( Javalobby – The heart of the Java developer community). Java EE 7 is Final.

Java 244
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Data privacy by design: How an observability platform protects data security

Dynatrace

.” Once data reaches an organization’s secure tenant in the software as a service (SaaS) cluster, teams can “also can exclude certain types of data with ease of configuration and strong defaults at storage in Grail [the Dynatrace data lakehouse that houses data],” added Ferguson. Why perform exclusion at two points?

Design 181
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Kubernetes in the wild report 2023

Dynatrace

The report also reveals the leading programming languages practitioners use for application workloads. are the top 3 programming languages for Kubernetes application workloads. The immense growth of Kubernetes presents new security challenges in runtime and increased complexity in hardening CI/CD pipelines in development.

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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

Moreover, the system lacks flexibility, imposing strict schemas that administrators and developers must adhere to avoid additional costs. Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. The majority of costs are associated with data querying.

Retail 226