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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.

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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 215
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Keeping DevOps cool in a heated environment

Dynatrace

Dynatrace’s AI engine, Davis automatically identified high traffic surges on the county website as the fire took hold. Dynatrace was able to tell the county you have high traffic on your site due to an influx of residents specifically seeking information on the Woolsey Fire. High Traffic Notification.

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Automate CI/CD pipelines with Dynatrace: Part 2, Deploy stage

Dynatrace

Even when the staging environment closely mirrors the production environment, achieving a complete replication of all potential scenarios, such as simulating extremely high traffic volumes to assess software performance, remains challenging. This can lead to a lack of insight into how the code will behave when exposed to heavy traffic.

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Closed-loop remediation: Why unified observability is an essential auto-remediation best practice

Dynatrace

It is also a key metric for organizations looking to improve their DevOps performance. The observability platform detects the anomaly and determines the root cause of the problem: increased traffic during peak usage hours, resulting in a server overload. The result: teams can make more informed release decisions.

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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

That’s why good communication between SREs and DevOps teams is important. It detects regressions and deviations from previously observed behavior across metrics such as latency, traffic, error rates, saturation, security coverage, vulnerability risk levels, and memory consumption.

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Bringing IT automation to life at Dynatrace Innovate Barcelona

Dynatrace

At the Dynatrace Innovate conference in Barcelona, Bernd Greifeneder, Dynatrace chief technology officer, discussed key examples of how the Dynatrace observability platform delivers value well beyond traditional monitoring. With Grail, for example, a DevOps team can pre-scan logs. The plattorm can pre-analyze and classify logs.