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DevOps monitoring tools: How to drive DevOps efficiency

Dynatrace

With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency?

DevOps 228
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DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. DevOps engineer tools can help ease the pressure as environment complexity grows. ” What does a DevOps platform engineer do? Atlassian Jira.

DevOps 200
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RedisĀ® Monitoring Strategies for 2024

Scalegrid

Keeping a tab on memory usage provides additional insight into the health of operations running through RedisĀ® servers. This Command Line Interface (CLI) can be used for basic activity metrics and offers powerful real-time data analysis tools, giving you more control over the performance of your servers.

Strategy 130
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Kubernetes vs Docker: Whatā€™s the difference?

Dynatrace

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. In a nutshell, they are complementary and, in part, overlapping technologies to create, manage, and operate containers. Dynatrace news. But first, some background.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

While there isnā€™t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments.

DevOps 137
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Reinventing Performance Testing: New Technologies

Alex Podelko

New Technologies (this post). Well, the time when all communication between client and server was using simple HTTP is in the past and the trend is to provide more and more sophisticated interfaces and protocols. It would be published as separate posts: – Introduction (a short teaser). – Cloud. – Agile. Programming.

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Why growing AI adoption requires an AI observability strategy

Dynatrace

FinOps, where finance meets DevOps, is a public cloud management philosophy that aims to control costs. Cloud-based AI enables organizations to run AI in the cloud without the hassle of managing, provisioning, or housing servers. Use generative AI in conjunction with other technologies. What is AI observability?

Strategy 230