Dynatrace

AUGUST 21, 2023

If a microservice falls in the forest and all your monitoring solutions report it differently, can operators accurately trace what happened and automate a response? Different monitoring point solutions, such as Jaeger, Zipkin, Logstash, Fluentd, and StatsD, each have their own way of observing and recording such an event.

Open Source 191

Open Source Analytics Lambda Metrics 191

Dynatrace

JUNE 15, 2021

The email walked through how our Dynatrace self-monitoring notified users of the outage but automatically remediated the problem thanks to our platform’s architecture. There are several ways Dynatrace monitors and alerts on the impact of service disruption. Ready to learn more? Then read on! Fact #1: AWS EC2 outage properly documented.

AWS 184

AWS Traffic Architecture Azure 184

Dynatrace

APRIL 30, 2019

A single indicator is defined as a query against a data source such as a monitoring, testing, security or code quality tool. On the left you see the Pitometer spec file with the list of indicator definitions as well as the total scoring objective. Queries the results through the defined data sources (Prometheus & Dynatrace).

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

JULY 9, 2020

From of our learnings on how we integrated Dynatrace into our DevOps toolchain , we advise our customers to follow our best practices around integrating delivery tools with Dynatrace, enforcing Dynatrace-based quality gates, implementing monitoring as code or automate remediation based on Dynatrace problems. Monitoring Configuration as Code.

Cloud 183

Cloud DevOps Azure Architecture 183

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). Open source models are a large and diverse group.

Open Source 111

Open Source Google Artificial Intelligence Infrastructure 111

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

O'Reilly

OCTOBER 19, 2021

While there isn’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. Software Development Layers.

DevOps 140

DevOps Software Engineering Open Source Infrastructure 140

Dynatrace

MAY 28, 2020

You may have seen over the past few months we have been extensively promoting Service Level Indicators (SLIs) and Service Level Objectives (SLOs) as part of our Open Source project Keptn. Keptn uses SLO definitions to automatically configure Dynatrace or Prometheus alerting rules. A key concept in monitoring is proper tagging.

Engineering 189

Engineering Performance Metrics Best Practices 189