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What is full stack observability?

Dynatrace

Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Observability across the full technology stack gives teams comprehensive, real-time insight into the behavior, performance, and health of applications and their underlying infrastructure.

DevOps 235
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Kubernetes vs Docker: What’s the difference?

Dynatrace

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices. Watch webinar now!

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How Park ‘N Fly innovates with IT automation, AIOps, and observability

Dynatrace

“We pride ourselves on customer care and clean, safe facilities,” says Ken Schirrmacher, chief technology officer at Park ‘N Fly, during a webinar on the role of IT automation, AIOps, and observability at the company. AIOps and observability for infrastructure management. And then we never see these issues manifest again.

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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. DevOps teams often use a log monitoring solution to ingest application, service, and system logs so they can detect issues at any phase of the software delivery life cycle (SDLC).

Analytics 214
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Weighing a microservices approach means covering all architecture bases

Dynatrace

A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. These servers handle all requests from the client and route them to the appropriate microservices. API gateways. Serverless platforms.

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Reducing PostgreSQL Costs in the Cloud

Percona

Let’s take a look at how to get the benefits you need while spending less, based on the recommendations presented by Dani Guzmán Burgos, our Percona Monitoring and Management (PMM) Tech Lead, on this webinar (now available on demand) hosted in November last year. Marked in red in Figure 1 is a server with less than 30% of CPU usage.

Cloud 116
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What is chaos engineering?

Dynatrace

The many disaster scenarios and outcomes allow chaos engineers to better model what happens to applications and microservices, which gives them increasing intelligence to share with developers to perfect software and cloud-native infrastructure. Watch webinar now! The history of chaos engineering. Thus, the tool Chaos Monkey was born.