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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Infrastructure-as-code. But how does it work in practice?

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What is cloud migration?

Dynatrace

Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. In cloud computing environments, infrastructure and services are maintained by the cloud vendor, allowing you to focus on how best to serve your customers. However, it can also mean migrating from one cloud to another.

Cloud 165
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APRA CPS 230 compliance, explained

Dynatrace

Unified observability is the ability to know how systems and infrastructure are performing based on the data they generate, such as logs, metrics, and traces. Observability provides banks and other financial institutions with real-time insight into their IT environment, including applications, infrastructure, and network traffic.

Cloud 221
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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? Experiencing database performance issues?

Tuning 52
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Bring Your Own Cloud (BYOC) vs. Dedicated Hosting at ScaleGrid

Scalegrid

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). Are you comfortable setting up your own cloud infrastructure through AWS or Azure?

Cloud 242
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Towards a Reliable Device Management Platform

The Netflix TechBlog

The Partner Infrastructure team at Netflix provides solutions to support these two significant efforts by enabling device management at scale. Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane.

Latency 213
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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

However, the key insight here is that these caches are partially shared among the CPUs, which means that perfect performance isolation of co-hosted containers is not possible. Traditionally it has been the responsibility of the operating system’s task scheduler to mitigate this performance isolation problem. Linux to the rescue?

Cache 251