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TTP-based threat hunting with Dynatrace Security Analytics and Falco Alerts solves alert noise

Dynatrace

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Dynatrace Grail  is a data lakehouse that provides context-rich analytics capabilities for observability, security, and business data.

Analytics 192
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What is software automation? Optimize the software lifecycle with intelligent automation

Dynatrace

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 184
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ScaleGrid DBaaS Expands MySQL Hosting Services Through AWS Cloud

Scalegrid

The platform allows MySQL AWS administrators to automate their time-consuming database operations in the cloud and improve their performance with high availability, disaster recovery, polyglot persistence, and advanced monitoring and analytics.

AWS 191
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Dynatrace adds support for AWS Transit Gateway with VPC Flow Logs

Dynatrace

There are five network internet protocol (IP) characteristics that are captured within each of the Transit Gateway Flow Logs for each log source. Dynatrace uses your data and its sophisticated AI causation engine Davis® to automatically detect performance anomalies in applications, services, and infrastructure.

AWS 214
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LATAM COVID-19 readiness

Dynatrace

With the increasing consumption of infrastructure and core applications coupled with sustaining a fast and error-free user experience, Dynatrace is helping customers meet expectations of their customers. And more importantly, can organizations’ infrastructure cope with the increasing demand? What are the changes?

Retail 174
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Implementing service-level objectives to improve software quality

Dynatrace

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. Service-level objectives help teams define an acceptable level of downtime for a service or a particular issue. SLOs aid decision making.

Software 259
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MySQL or PostgreSQL: Which is Better?

Percona

However, if you have certain data processing needs, budget requirements, limitations in the skill level of support staff, or infrastructure issues, then you need to be a little pickier. These problems have been rectified, but the old reputation lives on in the annals of the Internet and the memories of critics.

Database 121