#dynatrace — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #dynatrace, aggregated by home.social.
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https://www.europesays.com/at/235836/ Hochkarätige Podiumsdiskussion zum Thema „KI, die neue Kraft in Linz“ #AlbertOrtig #AT #Austria #Dynatrace #Hajart #KatjaSchechtner #KI #KIRevolution #Kindergarten #Linz #MarcusWarrelmann #Österreich #Podiumsdiskussion #SEAAIGmbH #SokKhengTaing #Vordenker
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https://www.europesays.com/ch/89906/ Dynatrace gains ‘Buy’ rating from UBS on expectations of accelerating growth, AI tailwinds #Accelerating #ARR #Dynatrace #GrowthOpportunities #GrowthRates #observability #UBS
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https://www.europesays.com/at/182625/ Dynatrace knackt Marke von zwei Milliarden US-Doller wiederkehrendem Umsatz #2MilliardenUSDollar #AT #Austria #Campus #Dynatrace #Greifeneder #Linz #Österreich
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Just as the enterprise is wrapping its mind around #scalingAI in data centers, another seismic shift is emerging on the outskirts of corporate networks.
I'm talking about #edgeAI and #physicalAI. Over the last two months, companies ranging from #NVIDIA to #AT&T, #BoozAllenHamilton, #Cisco, #Comcast, #DellTechnologies, #Dynatrace, #HPE and #PersonalAI have been quietly laying the groundwork for the next generation of the internet and #mobilecomputing infrastructure, and the next generation of enterprise applications that run on them, according to industry watchers.
I spent the last few weeks having heady conversations with industry experts about what the next three to five years will hold for #AI cellular networks, robots, mobile phones, and of course, enterprise businesses.
Kicker quote from Bill Vass of Booz Allen:
"When I was at the Pentagon, we commercialized GPS, and I remember telling people that everyone will have a laptop screen in their car. They thought I was crazy, but I never thought about Lyft and Uber and DoorDash -- it's very hard to know, when you enable a capability, how people will use it."
Read the full story here: https://www.techtarget.com/searchitoperations/news/366641741/Edge-and-physical-AI-poised-to-upend-enterprise-networks
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Just as the enterprise is wrapping its mind around #scalingAI in data centers, another seismic shift is emerging on the outskirts of corporate networks.
I'm talking about #edgeAI and #physicalAI. Over the last two months, companies ranging from #NVIDIA to #AT&T, #BoozAllenHamilton, #Cisco, #Comcast, #DellTechnologies, #Dynatrace, #HPE and #PersonalAI have been quietly laying the groundwork for the next generation of the internet and #mobilecomputing infrastructure, and the next generation of enterprise applications that run on them, according to industry watchers.
I spent the last few weeks having heady conversations with industry experts about what the next three to five years will hold for #AI cellular networks, robots, mobile phones, and of course, enterprise businesses.
Kicker quote from Bill Vass of Booz Allen:
"When I was at the Pentagon, we commercialized GPS, and I remember telling people that everyone will have a laptop screen in their car. They thought I was crazy, but I never thought about Lyft and Uber and DoorDash -- it's very hard to know, when you enable a capability, how people will use it."
Read the full story here: https://www.techtarget.com/searchitoperations/news/366641741/Edge-and-physical-AI-poised-to-upend-enterprise-networks
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Just as the enterprise is wrapping its mind around #scalingAI in data centers, another seismic shift is emerging on the outskirts of corporate networks.
I'm talking about #edgeAI and #physicalAI. Over the last two months, companies ranging from #NVIDIA to #AT&T, #BoozAllenHamilton, #Cisco, #Comcast, #DellTechnologies, #Dynatrace, #HPE and #PersonalAI have been quietly laying the groundwork for the next generation of the internet and #mobilecomputing infrastructure, and the next generation of enterprise applications that run on them, according to industry watchers.
I spent the last few weeks having heady conversations with industry experts about what the next three to five years will hold for #AI cellular networks, robots, mobile phones, and of course, enterprise businesses.
Kicker quote from Bill Vass of Booz Allen:
"When I was at the Pentagon, we commercialized GPS, and I remember telling people that everyone will have a laptop screen in their car. They thought I was crazy, but I never thought about Lyft and Uber and DoorDash -- it's very hard to know, when you enable a capability, how people will use it."
Read the full story here: https://www.techtarget.com/searchitoperations/news/366641741/Edge-and-physical-AI-poised-to-upend-enterprise-networks
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Just as the enterprise is wrapping its mind around #scalingAI in data centers, another seismic shift is emerging on the outskirts of corporate networks.
I'm talking about #edgeAI and #physicalAI. Over the last two months, companies ranging from #NVIDIA to #AT&T, #BoozAllenHamilton, #Cisco, #Comcast, #DellTechnologies, #Dynatrace, #HPE and #PersonalAI have been quietly laying the groundwork for the next generation of the internet and #mobilecomputing infrastructure, and the next generation of enterprise applications that run on them, according to industry watchers.
I spent the last few weeks having heady conversations with industry experts about what the next three to five years will hold for #AI cellular networks, robots, mobile phones, and of course, enterprise businesses.
Kicker quote from Bill Vass of Booz Allen:
"When I was at the Pentagon, we commercialized GPS, and I remember telling people that everyone will have a laptop screen in their car. They thought I was crazy, but I never thought about Lyft and Uber and DoorDash -- it's very hard to know, when you enable a capability, how people will use it."
Read the full story here: https://www.techtarget.com/searchitoperations/news/366641741/Edge-and-physical-AI-poised-to-upend-enterprise-networks
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Just as the enterprise is wrapping its mind around #scalingAI in data centers, another seismic shift is emerging on the outskirts of corporate networks.
I'm talking about #edgeAI and #physicalAI. Over the last two months, companies ranging from #NVIDIA to #AT&T, #BoozAllenHamilton, #Cisco, #Comcast, #DellTechnologies, #Dynatrace, #HPE and #PersonalAI have been quietly laying the groundwork for the next generation of the internet and #mobilecomputing infrastructure, and the next generation of enterprise applications that run on them, according to industry watchers.
I spent the last few weeks having heady conversations with industry experts about what the next three to five years will hold for #AI cellular networks, robots, mobile phones, and of course, enterprise businesses.
Kicker quote from Bill Vass of Booz Allen:
"When I was at the Pentagon, we commercialized GPS, and I remember telling people that everyone will have a laptop screen in their car. They thought I was crazy, but I never thought about Lyft and Uber and DoorDash -- it's very hard to know, when you enable a capability, how people will use it."
Read the full story here: https://www.techtarget.com/searchitoperations/news/366641741/Edge-and-physical-AI-poised-to-upend-enterprise-networks
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Learn the critical failure points when running LLM inference on Kubernetes, including resource constraints, operator compatibility, security, scalability, and monitoring best practices for production workloads.
#Kubernetes #LLM Inference #Dynatrace #GPU Resource Allocation #Service Mesh #Network Policies #KEDA #Triton Inference Server #Redis #Prometheus
https://dasroot.net/posts/2026/02/running-llm-inference-on-kubernetes-what-breaks-first/
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Learn the critical failure points when running LLM inference on Kubernetes, including resource constraints, operator compatibility, security, scalability, and monitoring best practices for production workloads.
#Kubernetes #LLM Inference #Dynatrace #GPU Resource Allocation #Service Mesh #Network Policies #KEDA #Triton Inference Server #Redis #Prometheus
https://dasroot.net/posts/2026/02/running-llm-inference-on-kubernetes-what-breaks-first/
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Learn the critical failure points when running LLM inference on Kubernetes, including resource constraints, operator compatibility, security, scalability, and monitoring best practices for production workloads.
#Kubernetes #LLM Inference #Dynatrace #GPU Resource Allocation #Service Mesh #Network Policies #KEDA #Triton Inference Server #Redis #Prometheus
https://dasroot.net/posts/2026/02/running-llm-inference-on-kubernetes-what-breaks-first/
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Learn the critical failure points when running LLM inference on Kubernetes, including resource constraints, operator compatibility, security, scalability, and monitoring best practices for production workloads.
#Kubernetes #LLM Inference #Dynatrace #GPU Resource Allocation #Service Mesh #Network Policies #KEDA #Triton Inference Server #Redis #Prometheus
https://dasroot.net/posts/2026/02/running-llm-inference-on-kubernetes-what-breaks-first/
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Learn the critical failure points when running LLM inference on Kubernetes, including resource constraints, operator compatibility, security, scalability, and monitoring best practices for production workloads.
#Kubernetes #LLM Inference #Dynatrace #GPU Resource Allocation #Service Mesh #Network Policies #KEDA #Triton Inference Server #Redis #Prometheus
https://dasroot.net/posts/2026/02/running-llm-inference-on-kubernetes-what-breaks-first/
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Hot off the press! #Dynatrace customers and industry analysts react to the acquisition of #DevCycle this week.
The combination boosts users' direct control over software rollouts, but it's far from the only newly diversified tool available for shops looking to consolidate. https://www.techtarget.com/searchitoperations/news/366637355/Dynatrace-DevCycle-buy-continues-observability-consolidation
#Dynatrace #Snowflake #observeinc #o11y #observability #featureflagging #featuremanagement #OpenFeature #Datadog #devops #softwaredevelopment #softwaredelivery #enterprisetech #AIOps
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Hot off the press! #Dynatrace customers and industry analysts react to the acquisition of #DevCycle this week.
The combination boosts users' direct control over software rollouts, but it's far from the only newly diversified tool available for shops looking to consolidate. https://www.techtarget.com/searchitoperations/news/366637355/Dynatrace-DevCycle-buy-continues-observability-consolidation
#Dynatrace #Snowflake #observeinc #o11y #observability #featureflagging #featuremanagement #OpenFeature #Datadog #devops #softwaredevelopment #softwaredelivery #enterprisetech #AIOps
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Hot off the press! #Dynatrace customers and industry analysts react to the acquisition of #DevCycle this week.
The combination boosts users' direct control over software rollouts, but it's far from the only newly diversified tool available for shops looking to consolidate. https://www.techtarget.com/searchitoperations/news/366637355/Dynatrace-DevCycle-buy-continues-observability-consolidation
#Dynatrace #Snowflake #observeinc #o11y #observability #featureflagging #featuremanagement #OpenFeature #Datadog #devops #softwaredevelopment #softwaredelivery #enterprisetech #AIOps
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Hot off the press! #Dynatrace customers and industry analysts react to the acquisition of #DevCycle this week.
The combination boosts users' direct control over software rollouts, but it's far from the only newly diversified tool available for shops looking to consolidate. https://www.techtarget.com/searchitoperations/news/366637355/Dynatrace-DevCycle-buy-continues-observability-consolidation
#Dynatrace #Snowflake #observeinc #o11y #observability #featureflagging #featuremanagement #OpenFeature #Datadog #devops #softwaredevelopment #softwaredelivery #enterprisetech #AIOps
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Hot off the press! #Dynatrace customers and industry analysts react to the acquisition of #DevCycle this week.
The combination boosts users' direct control over software rollouts, but it's far from the only newly diversified tool available for shops looking to consolidate. https://www.techtarget.com/searchitoperations/news/366637355/Dynatrace-DevCycle-buy-continues-observability-consolidation
#Dynatrace #Snowflake #observeinc #o11y #observability #featureflagging #featuremanagement #OpenFeature #Datadog #devops #softwaredevelopment #softwaredelivery #enterprisetech #AIOps
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👍 Powerful new AWS AI service: #AWS DevOps Agent is your always-on, autonomous on-call engineer. When issues arise, it automatically correlates data across your operational toolchain, from metrics and logs to recent code deployments in #GitHub or #GitLab. It identifies probable root causes and recommends targeted mitigations, helping reduce mean time to resolution. The agent also manages incident coordination, using #Slack channels for stakeholder updates and maintaining detailed investigation timelines.
To get started, you connect AWS DevOps Agent to your existing tools through the AWS Management Console. The agent works with popular services such as Amazon CloudWatch, #Datadog, #Dynatrace, #NewRelic, and #Splunk for observability data, while integrating with GitHub Actions and GitLab CI/CD to track deployments and their impact on your cloud resources. Through the bring your own (BYO) Model Context Protocol (MCP) server capability, you can also integrate additional tools such as your organization’s custom tools, specialized platforms or open source observability solutions, such as #Grafana and #Prometheus into your investigations.The agent acts as a virtual team member and can be configured to automatically respond to incidents from your ticketing systems. It includes built-in support for ServiceNow, and through configurable webhooks, can respond to events from other incident management tools like PagerDuty. As investigations progress, the agent updates tickets and relevant Slack channels with its findings. All of this is powered by an intelligent application topology the agent builds—a comprehensive map of your system components and their interactions, including deployment history that helps identify potential deployment-related causes during investigations.
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👍 Powerful new AWS AI service: #AWS DevOps Agent is your always-on, autonomous on-call engineer. When issues arise, it automatically correlates data across your operational toolchain, from metrics and logs to recent code deployments in #GitHub or #GitLab. It identifies probable root causes and recommends targeted mitigations, helping reduce mean time to resolution. The agent also manages incident coordination, using #Slack channels for stakeholder updates and maintaining detailed investigation timelines.
To get started, you connect AWS DevOps Agent to your existing tools through the AWS Management Console. The agent works with popular services such as Amazon CloudWatch, #Datadog, #Dynatrace, #NewRelic, and #Splunk for observability data, while integrating with GitHub Actions and GitLab CI/CD to track deployments and their impact on your cloud resources. Through the bring your own (BYO) Model Context Protocol (MCP) server capability, you can also integrate additional tools such as your organization’s custom tools, specialized platforms or open source observability solutions, such as #Grafana and #Prometheus into your investigations.The agent acts as a virtual team member and can be configured to automatically respond to incidents from your ticketing systems. It includes built-in support for ServiceNow, and through configurable webhooks, can respond to events from other incident management tools like PagerDuty. As investigations progress, the agent updates tickets and relevant Slack channels with its findings. All of this is powered by an intelligent application topology the agent builds—a comprehensive map of your system components and their interactions, including deployment history that helps identify potential deployment-related causes during investigations.
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👍 Powerful new AWS AI service: #AWS DevOps Agent is your always-on, autonomous on-call engineer. When issues arise, it automatically correlates data across your operational toolchain, from metrics and logs to recent code deployments in #GitHub or #GitLab. It identifies probable root causes and recommends targeted mitigations, helping reduce mean time to resolution. The agent also manages incident coordination, using #Slack channels for stakeholder updates and maintaining detailed investigation timelines.
To get started, you connect AWS DevOps Agent to your existing tools through the AWS Management Console. The agent works with popular services such as Amazon CloudWatch, #Datadog, #Dynatrace, #NewRelic, and #Splunk for observability data, while integrating with GitHub Actions and GitLab CI/CD to track deployments and their impact on your cloud resources. Through the bring your own (BYO) Model Context Protocol (MCP) server capability, you can also integrate additional tools such as your organization’s custom tools, specialized platforms or open source observability solutions, such as #Grafana and #Prometheus into your investigations.The agent acts as a virtual team member and can be configured to automatically respond to incidents from your ticketing systems. It includes built-in support for ServiceNow, and through configurable webhooks, can respond to events from other incident management tools like PagerDuty. As investigations progress, the agent updates tickets and relevant Slack channels with its findings. All of this is powered by an intelligent application topology the agent builds—a comprehensive map of your system components and their interactions, including deployment history that helps identify potential deployment-related causes during investigations.
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👍 Powerful new AWS AI service: #AWS DevOps Agent is your always-on, autonomous on-call engineer. When issues arise, it automatically correlates data across your operational toolchain, from metrics and logs to recent code deployments in #GitHub or #GitLab. It identifies probable root causes and recommends targeted mitigations, helping reduce mean time to resolution. The agent also manages incident coordination, using #Slack channels for stakeholder updates and maintaining detailed investigation timelines.
To get started, you connect AWS DevOps Agent to your existing tools through the AWS Management Console. The agent works with popular services such as Amazon CloudWatch, #Datadog, #Dynatrace, #NewRelic, and #Splunk for observability data, while integrating with GitHub Actions and GitLab CI/CD to track deployments and their impact on your cloud resources. Through the bring your own (BYO) Model Context Protocol (MCP) server capability, you can also integrate additional tools such as your organization’s custom tools, specialized platforms or open source observability solutions, such as #Grafana and #Prometheus into your investigations.The agent acts as a virtual team member and can be configured to automatically respond to incidents from your ticketing systems. It includes built-in support for ServiceNow, and through configurable webhooks, can respond to events from other incident management tools like PagerDuty. As investigations progress, the agent updates tickets and relevant Slack channels with its findings. All of this is powered by an intelligent application topology the agent builds—a comprehensive map of your system components and their interactions, including deployment history that helps identify potential deployment-related causes during investigations.
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👍 Powerful new AWS AI service: #AWS DevOps Agent is your always-on, autonomous on-call engineer. When issues arise, it automatically correlates data across your operational toolchain, from metrics and logs to recent code deployments in #GitHub or #GitLab. It identifies probable root causes and recommends targeted mitigations, helping reduce mean time to resolution. The agent also manages incident coordination, using #Slack channels for stakeholder updates and maintaining detailed investigation timelines.
To get started, you connect AWS DevOps Agent to your existing tools through the AWS Management Console. The agent works with popular services such as Amazon CloudWatch, #Datadog, #Dynatrace, #NewRelic, and #Splunk for observability data, while integrating with GitHub Actions and GitLab CI/CD to track deployments and their impact on your cloud resources. Through the bring your own (BYO) Model Context Protocol (MCP) server capability, you can also integrate additional tools such as your organization’s custom tools, specialized platforms or open source observability solutions, such as #Grafana and #Prometheus into your investigations.The agent acts as a virtual team member and can be configured to automatically respond to incidents from your ticketing systems. It includes built-in support for ServiceNow, and through configurable webhooks, can respond to events from other incident management tools like PagerDuty. As investigations progress, the agent updates tickets and relevant Slack channels with its findings. All of this is powered by an intelligent application topology the agent builds—a comprehensive map of your system components and their interactions, including deployment history that helps identify potential deployment-related causes during investigations.
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Great event at Dynatrace PowerUP in Lisbon. Learning about the latest Dynatrace features and capabilities and what they can do to address organisational resilience, tool sprawl, and overspend. #Dynatrace #Deloitte #PowerUp2025
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* Info dump from team SME in Red Hat Observability (RHOBS) moving to another team for a new project (🫡you'll be missed, Jim!)
* Figuring out how an Access Token that route-monitor-operator (RMO) uses to create synthetic monitors was disabled in #Dynatrace 😱
* Creating a new service account and IAM policies for RMO; converting the access token scope to the IAM format
* Weekly Grooming session - new Post Mortem Review Action Item card for our team!
* New job postings! -
* Info dump from team SME in Red Hat Observability (RHOBS) moving to another team for a new project (🫡you'll be missed, Jim!)
* Figuring out how an Access Token that route-monitor-operator (RMO) uses to create synthetic monitors was disabled in #Dynatrace 😱
* Creating a new service account and IAM policies for RMO; converting the access token scope to the IAM format
* Weekly Grooming session - new Post Mortem Review Action Item card for our team!
* New job postings! -
* Info dump from team SME in Red Hat Observability (RHOBS) moving to another team for a new project (🫡you'll be missed, Jim!)
* Figuring out how an Access Token that route-monitor-operator (RMO) uses to create synthetic monitors was disabled in #Dynatrace 😱
* Creating a new service account and IAM policies for RMO; converting the access token scope to the IAM format
* Weekly Grooming session - new Post Mortem Review Action Item card for our team!
* New job postings! -
* Info dump from team SME in Red Hat Observability (RHOBS) moving to another team for a new project (🫡you'll be missed, Jim!)
* Figuring out how an Access Token that route-monitor-operator (RMO) uses to create synthetic monitors was disabled in #Dynatrace 😱
* Creating a new service account and IAM policies for RMO; converting the access token scope to the IAM format
* Weekly Grooming session - new Post Mortem Review Action Item card for our team!
* New job postings! -
* Info dump from team SME in Red Hat Observability (RHOBS) moving to another team for a new project (🫡you'll be missed, Jim!)
* Figuring out how an Access Token that route-monitor-operator (RMO) uses to create synthetic monitors was disabled in #Dynatrace 😱
* Creating a new service account and IAM policies for RMO; converting the access token scope to the IAM format
* Weekly Grooming session - new Post Mortem Review Action Item card for our team!
* New job postings! -
Hey kids! Did you know that you can use the #Dynatrace #MCP Server to query #OpenTelemetry data using natural language? 🤯
'Tis true! Learn how, in my latest video in the series, "Dynatrace Can Do THAT with OpenTelemetry?"
Watch now: https://dt-url.net/hm4305l
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Hey kids! Did you know that you can use the #Dynatrace #MCP Server to query #OpenTelemetry data using natural language? 🤯
'Tis true! Learn how, in my latest video in the series, "Dynatrace Can Do THAT with OpenTelemetry?"
Watch now: https://dt-url.net/hm4305l
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Hey kids! Did you know that you can use the #Dynatrace #MCP Server to query #OpenTelemetry data using natural language? 🤯
'Tis true! Learn how, in my latest video in the series, "Dynatrace Can Do THAT with OpenTelemetry?"
Watch now: https://dt-url.net/hm4305l
-
Hey kids! Did you know that you can use the #Dynatrace #MCP Server to query #OpenTelemetry data using natural language? 🤯
'Tis true! Learn how, in my latest video in the series, "Dynatrace Can Do THAT with OpenTelemetry?"
Watch now: https://dt-url.net/hm4305l
-
Hey kids! Did you know that you can use the #Dynatrace #MCP Server to query #OpenTelemetry data using natural language? 🤯
'Tis true! Learn how, in my latest video in the series, "Dynatrace Can Do THAT with OpenTelemetry?"
Watch now: https://dt-url.net/hm4305l
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Dynatrace Tips & Tricks #18 – Jenkins Pipeline Analytics with OpenTelemetry
Episode 18 of our #Dynatrace community practices gives us insights into how to identify the root cause of failing, long-running or ... source
https://quadexcel.com/wp/dynatrace-tips-tricks-18-jenkins-pipeline-analytics-with-opentelemetry/
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My obsession with #MCP servers continues. And like many of my obsessions, I love finding ways in which they intersect with other obsessions (hello, #Observability). I decided to leverage the #Dynatrace MCP server to use natural language to query #OpenTelemetry data in Dynatrace. End result? Well, you’ll need to read the blog post!
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My obsession with #MCP servers continues. And like many of my obsessions, I love finding ways in which they intersect with other obsessions (hello, #Observability). I decided to leverage the #Dynatrace MCP server to use natural language to query #OpenTelemetry data in Dynatrace. End result? Well, you’ll need to read the blog post!
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My obsession with #MCP servers continues. And like many of my obsessions, I love finding ways in which they intersect with other obsessions (hello, #Observability). I decided to leverage the #Dynatrace MCP server to use natural language to query #OpenTelemetry data in Dynatrace. End result? Well, you’ll need to read the blog post!
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My obsession with #MCP servers continues. And like many of my obsessions, I love finding ways in which they intersect with other obsessions (hello, #Observability). I decided to leverage the #Dynatrace MCP server to use natural language to query #OpenTelemetry data in Dynatrace. End result? Well, you’ll need to read the blog post!
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My obsession with #MCP servers continues. And like many of my obsessions, I love finding ways in which they intersect with other obsessions (hello, #Observability). I decided to leverage the #Dynatrace MCP server to use natural language to query #OpenTelemetry data in Dynatrace. End result? Well, you’ll need to read the blog post!
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I'm a big believer that we can get more value from #Observability data if our main #OpenTelemetry signals (traces, logs, metrics) are stored in the same backend for analysis. Check out my latest post on the #dynatrace blog in which I explore the topic of unified #o11y.
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I'm a big believer that we can get more value from #Observability data if our main #OpenTelemetry signals (traces, logs, metrics) are stored in the same backend for analysis. Check out my latest post on the #dynatrace blog in which I explore the topic of unified #o11y.
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I'm a big believer that we can get more value from #Observability data if our main #OpenTelemetry signals (traces, logs, metrics) are stored in the same backend for analysis. Check out my latest post on the #dynatrace blog in which I explore the topic of unified #o11y.
-
I'm a big believer that we can get more value from #Observability data if our main #OpenTelemetry signals (traces, logs, metrics) are stored in the same backend for analysis. Check out my latest post on the #dynatrace blog in which I explore the topic of unified #o11y.
-
I'm a big believer that we can get more value from #Observability data if our main #OpenTelemetry signals (traces, logs, metrics) are stored in the same backend for analysis. Check out my latest post on the #dynatrace blog in which I explore the topic of unified #o11y.
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Dynatrace extends platform with agentic AI capabilities https://www.helpnetsecurity.com/2025/06/05/dynatrace-platform-ai-capabilities/ #Industrynews #Dynatrace
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Dynatrace extends platform with agentic AI capabilities https://www.helpnetsecurity.com/2025/06/05/dynatrace-platform-ai-capabilities/ #Industrynews #Dynatrace
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Dynatrace extends platform with agentic AI capabilities https://www.helpnetsecurity.com/2025/06/05/dynatrace-platform-ai-capabilities/ #Industrynews #Dynatrace
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Dynatrace extends platform with agentic AI capabilities https://www.helpnetsecurity.com/2025/06/05/dynatrace-platform-ai-capabilities/ #Industrynews #Dynatrace
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Latest episode "Dynatrace Can Do THAT with OpenTelemetry": Andi Grabner shows me how to view #OTel metrics emitted by the #OpenTelemetry Demo via OTel Collector in the Notebooks app on #Dynatrace.
PS: The Notebooks app does so much more. Check it out!
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Latest episode "Dynatrace Can Do THAT with OpenTelemetry": Andi Grabner shows me how to view #OTel metrics emitted by the #OpenTelemetry Demo via OTel Collector in the Notebooks app on #Dynatrace.
PS: The Notebooks app does so much more. Check it out!
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Latest episode "Dynatrace Can Do THAT with OpenTelemetry": Andi Grabner shows me how to view #OTel metrics emitted by the #OpenTelemetry Demo via OTel Collector in the Notebooks app on #Dynatrace.
PS: The Notebooks app does so much more. Check it out!
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Latest episode "Dynatrace Can Do THAT with OpenTelemetry": Andi Grabner shows me how to view #OTel metrics emitted by the #OpenTelemetry Demo via OTel Collector in the Notebooks app on #Dynatrace.
PS: The Notebooks app does so much more. Check it out!
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Latest episode "Dynatrace Can Do THAT with OpenTelemetry": Andi Grabner shows me how to view #OTel metrics emitted by the #OpenTelemetry Demo via OTel Collector in the Notebooks app on #Dynatrace.
PS: The Notebooks app does so much more. Check it out!
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Is there an on-premise, open source option for a monitoring/telemetry platform comparable* to say New Relic or Dynatrace with an approachable query language?
Is Prometheus+Grafana pretty much it?
Simpler the better, approachable for a casual user (i.e. curious non-technical tenants) would be great.
* Caveats for "comparable" apply!
#Linux #RunBSD #telemetry #OpenTelemetry #NewRelic #Dynatrace #Datadog #PlatformMonitoring #Monitoring #DevOps #HomeLab #soho #infrastructure #Network #CloudNative #CNI #FOSS #FLOSS #prometheus #grafana #zabbix #icinga #nagios
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Is there an on-premise, open source option for a monitoring/telemetry platform comparable* to say New Relic or Dynatrace with an approachable query language?
Is Prometheus+Grafana pretty much it?
Simpler the better, approachable for a casual user (i.e. curious non-technical tenants) would be great.
* Caveats for "comparable" apply!
#Linux #RunBSD #telemetry #OpenTelemetry #NewRelic #Dynatrace #Datadog #PlatformMonitoring #Monitoring #DevOps #HomeLab #soho #infrastructure #Network #CloudNative #CNI #FOSS #FLOSS #prometheus #grafana #zabbix #icinga #nagios
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Is there an on-premise, open source option for a monitoring/telemetry platform comparable* to say New Relic or Dynatrace with an approachable query language?
Is Prometheus+Grafana pretty much it?
Simpler the better, approachable for a casual user (i.e. curious non-technical tenants) would be great.
* Caveats for "comparable" apply!
#Linux #RunBSD #telemetry #OpenTelemetry #NewRelic #Dynatrace #Datadog #PlatformMonitoring #Monitoring #DevOps #HomeLab #soho #infrastructure #Network #CloudNative #CNI #FOSS #FLOSS #prometheus #grafana #zabbix #icinga #nagios
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My latest video in which Andi Grabner shows me what #dynatrace can do with #OpenTelemetry data emitted by the #OTel Demo. This time, we explore the Logs app. Data is ingested natively with the OTel Collector.
Reactions are genuine, because I can’t act. 🤣
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My latest video in which Andi Grabner shows me what #dynatrace can do with #OpenTelemetry data emitted by the #OTel Demo. This time, we explore the Logs app. Data is ingested natively with the OTel Collector.
Reactions are genuine, because I can’t act. 🤣
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My latest video in which Andi Grabner shows me what #dynatrace can do with #OpenTelemetry data emitted by the #OTel Demo. This time, we explore the Logs app. Data is ingested natively with the OTel Collector.
Reactions are genuine, because I can’t act. 🤣