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Storage handling improvements increase retention of transaction data for Dynatrace Managed

Dynatrace

One main advantage of using a product in SaaS mode is the automatic scaling of resources based on system load. Using existing storage resources optimally is key to being able to capture the right data over time. Increased storage space availability. Compression of data that’s older than three days utilizes one virtual CPU.

Storage 190
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Tailored access management, Part 2: Onboard users to Grail and AppEngine

Dynatrace

We’ve replaced the role-based permission system with security policies that provide fine-grained control over service access and introduce new dynamic controls for user authorization. The managed policies always reflect the latest changes in the Dynatrace platform and its underlying permission system and, therefore, can’t be customized.

Storage 201
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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

Integration with Red Hat Event-Driven-Ansible will also leverage Red Hat’s flexible rulebook system to map event data, such as problem categories or vulnerability identification, to the correct job template. Remediation details are linked to the problem in Dynatrace and documented in ServiceNow.

DevOps 278
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Privacy spotlight: Retain data in Grail with 1-day precision, for up to 10 years

Dynatrace

Streamline privacy requirements with flexible retention periods Data retention is a critical aspect of data handling, and it’s not just about privacy compliance—it’s about having the flexibility to optimize data storage times in Grail for your Dynatrace use cases. Grail buckets function like folders in a file system.

Storage 161
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SIEM Volume Spike Alerts Using ML

DZone

SIEM systems enable early detection of security threats and suspicious activities by analyzing vast amounts of log data in real time. Correlation Engine: SIEM systems analyze and correlate the collected data to identify patterns, anomalies, and potential security incidents. This helps in detecting threats and attacks in real time.

Storage 136
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Azure Storage Queues learns some new tricks

Particular Software

Azure Storage Queues is a basic yet robust queueing service available on the Azure platform. For example, it lacks concepts like topics and subscriptions to build publisher and subscriber topologies—these are capabilities NServiceBus adds on top of Azure Storage Queues. Let’s take a look. Here’s how it works.

Azure 52
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Master MySQL Point in Time Recovery

Scalegrid

These logs meticulously document every modification executed within the database in the data directory, providing essential incremental updates that facilitate time-specific recovery efforts. STATEMENT level – at which only SQL statements causing changes in data are documented succinctly.

Database 162