Remove 2019 Remove Metrics Remove Monitoring Remove Tuning
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2019 Database Trends – SQL vs. NoSQL, Top Databases, Single vs. Multiple Database Use

Scalegrid

Wondering which databases are trending in 2019? We asked hundreds of developers, engineers, software architects, dev teams, and IT leaders at DeveloperWeek to discover the current NoSQL vs. SQL usage, most popular databases, important metrics to track, and their most time-consuming database management tasks. NoSQL Database Use: 39.52%.

Database 255
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OpenTelemetry services analysis and endpoint detection made easier with Dynatrace unified services

Dynatrace

Great news: OpenTelemetry endpoint detection, analyzing OpenTelemetry services, and visualizing Istio service mesh metrics just got easier. As a CNCF open source incubating project, OpenTelemetry provides a standardized set of APIs, libraries, agents, instrumentation, and specifications for logging, metrics, and tracing.

Metrics 165
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Monitoring of Kubernetes Infrastructure for day 2 operations

Dynatrace

Monitoring Kubernetes is an important aspect of Day 2 o perations and is often perceived as a significant challenge. That’s another example where monitoring is of tremendous help as it provides the current resource consumption picture and help to continuously fine tune those settings. . Node and w orkload health .

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Get automated full-stack visibility into containerd-based Kubernetes environments

Dynatrace

In 2019, Containerd became the 5th project to reach CNCF’s highest maturity level, graduation. The CNCF introduced the dedicated category Observability and Analysis to their project landscape to cover all things related to the monitoring of cloud-native stacks. Automatic monitoring of applications running in Kubernetes pods.

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Part 1: How Dynatrace and GitHub help you deliver better software faster

Dynatrace

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Automating lifecycle orchestration including monitoring, remediation, and testing across the entire software development lifecycle (SDLC). Topics in this blog series. GitHub and GitHub Actions.

Software 246
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How to get the answers you deserve using the three pillars of observability

Dynatrace

Observability is divided into three major verticals—metrics, logs, and distributed traces—the so-called three pillars of observability. With Dynatrace, you just install a single agent per monitored host to collect all relevant data with high fidelity. 1) Metrics. Dynatrace news. 2) Distributed traces.

Metrics 182
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Native support for IBM mainframe in Dynatrace provides end-to-end visibility and AI-powered answers

Dynatrace

However, for many organizations, back-end technology layers create blind spots in their current approach to monitoring. As with all other technologies monitored by Dynatrace, Smartscape auto-discovery delivers a quick and efficient overview of all the topological dependencies in your environment. IMS MQ Trigger Monitor.

Java 116