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Best practices for Fluent Bit 3.0

Dynatrace

New processors: Introducing new processors, including Metric Selector and Content Modifier, for selective data processing and metadata adjustment, improving data relevance and storage efficiency. In the following paragraphs, we will introduce a few best practices, particularly when using Fluent Bit 3.0.

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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

These challenges make AWS observability a key practice for building and monitoring cloud-native applications. Let’s take a closer look at what observability in dynamic AWS environments means, why it’s so important, and some AWS monitoring best practices. AWS monitoring best practices. Amazon EC2.

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

Dynatrace

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 237
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Enterprise Cloud Security Strategy For 2024

Scalegrid

As more companies move away from traditional on-premises data centers, they enter into an era where scalability, flexibility, and cost-effectiveness become possible through various services offered by different providers in the market today.

Strategy 130
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MySQL Backups: Methods & Best Practices

Scalegrid

Maintaining the security and integrity of MySQL backups is paramount, involving encryption, consistent monitoring, adherence to best practices, and consideration of legal and regulatory requirements for data retention and scaling strategies. Therefore, it’s not the ideal choice if there are time or storage limitations.

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What is log management? How to tame distributed cloud system complexities

Dynatrace

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. It involves both the collection and storage of logs, as well as aggregation, analysis, and even the long-term storage and destruction of log data.

Systems 185
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Percona Monitoring and Management 2 Scaling and Capacity Planning

Percona

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. PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. We have tested PMM version 2.33.0