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How to overcome the cloud observability wall

Dynatrace

When an application runs on a single large computing element, a single operating system can monitor every aspect of the system. Modern operating systems provide capabilities to observe and report various metrics about the applications running. Just as the code is monolithic, so is the logging.

Cloud 246
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Dynatrace observability now available for Red Hat OpenShift on IBM Z and LinuxONE mainframes

Dynatrace

As we did with IBM Power , we’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Z and LinuxONE architecture (s390x).

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What is AWS Lambda?

Dynatrace

You will likely need to write code to integrate systems and handle complex tasks or incoming network requests. As a bonus, operations staff never needs to update operating systems or hardware, because AWS manages servers with no stoppage of application functionality. How does AWS Lambda work?

Lambda 258
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Distance-Based ISA for Efficient Register Management

ACM Sigarch

To create a CPU core that can execute a large number of instructions in parallel, it is necessary to improve both the architecturewhich includes the overall CPU design and the instruction set architecture (ISA) designand the microarchitecture, which refers to the hardware design that optimizes instruction execution.

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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Logs can include data about user inputs, system processes, and hardware states. Accelerated innovation. Use cases for log monitoring and log analytics.

Analytics 264
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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

The goal of Cloud Automation is for development teams to build better software faster and operations to automate mundane repetitive tasks and focus on innovation. With the proliferation of infrastructure-as-code tools, operations teams can: Deploy, configure, or tear down workloads into an instance in real-time.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. In production, containers are easy to replicate.