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9 key DevOps metrics for success

Dynatrace

You have set up a DevOps practice. As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. DevOps metrics to help you meet your DevOps goals.

DevOps 205
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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 224
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SLOs done right: how DevOps teams can build better service-level objectives

Dynatrace

So how do development and operations (DevOps) teams and site reliability engineers (SREs) distinguish among good, great, and suboptimal SLOs? The state of service-level objectives While SLOs play a critical role in helping DevOps and SRE teams align technical objectives with business goals, they’re not always easy to define.

DevOps 219
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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges.

DevOps 224
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How to start with SLOs to align Business, DevOps, and SREs

Dynatrace

Service-level objectives (SLOs) are a great tool to align business goals with the technical goals that drive DevOps (Speed of Delivery) and Site Reliability Engineering (SRE) (Ensuring Production Resiliency). In the workshop, I also answered the question: How can we measure those metrics (=SLIs) that are behind our objectives?

DevOps 209
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Transform log data into actionable metrics and have Davis AI do the work for you

Dynatrace

Now, Dynatrace has the ability to turn numerical values from logs into metrics, which unlocks AI-powered answers, context, and automation for your apps and infrastructure, at scale. Whatever your use case, when log data reflects changes in your infrastructure or business metrics, you need to extract the metrics and monitor them.

Metrics 219
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Stream logs to Dynatrace with Amazon Data Firehose to boost your cloud-native journey

Dynatrace

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. Amazon Data Firehose helps stream logs to the right destination But your SREs and DevOps engineers know CloudWatch is not the terminal destination for data but rather an intermediate station.

Cloud 256