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Kubernetes in the wild report 2023

Dynatrace

Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines. In comparison, on-premises clusters have more and larger nodes: on average, 9 nodes with 32 to 64 GB of memory. Java Virtual Machine (JVM)-based languages are predominant. Most organizations, 72%, use Java to some degree.

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Percona Monitoring and Management 2 Scaling and Capacity Planning

Percona

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Virtual Memory utilization was averaging 48 GB of RAM. VictoriaMetrics maintains an in-memory cache for mapping active time series into internal series IDs. Capacity planning and setup details We used a dedicated 32-core CPU and 64GB of RAM for our testing.

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The Most Important MySQL Setting

Percona

But since retrieving data from disk is slow, databases tend to work with a caching mechanism to keep as much hot data, the bits and pieces that are most often accessed, in memory. In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 138
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HammerDB for Managers

HammerDB

An important concept was to simulate database users called Virtual Users in parallel (rather than concurrently) to accurately simulate a real database workload with multiple users running from separate systems. Cached vs Scaled Workloads. The workload also outputted the data from the Virtual Users by simulating individual terminals.

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AppFabric Caching: Retry Later

ScaleOut Software

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

Cache 40
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Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

IO River

Given its unchanging nature, static content is ideal for caching. Yes, these might change based on localization settings, but in terms of storage, it’s still a completely baked cookie that the server can choose to serve or not serve.Whenever a user clicks on an episode, these bits remain unchanged. Now, let's delve a little deeper.

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Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

IO River

Yes, these might change based on localization settings, but in terms of storage, it’s still a completely baked cookie that the server can choose to serve or not serve.Whenever a user clicks on an episode, these bits remain unchanged. By the time the player needs it, the content is already cached and ready to go.