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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 199
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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 211
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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 167
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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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Bring syslog into Dynatrace using OpenTelemetry to get open source value with enterprise support

Dynatrace

Syslog is the go-to protocol that delivers infrastructure administrators, network engineers, and security team logs that tell them all they need to know about their systems’ delivery, performance, availability, and security. Refer to F5 BIG-IP documentation for detailed and up-to-date instructions regarding remote Syslog configuration.

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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
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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