Dynatrace

JULY 7, 2022

While microservices vs. monolithic architecture is a common debate, organizations have other considerations, like service-oriented architecture (SOA), tools, monitoring solutions, and potential migration issues. Additional complexity and monitoring challenges. As part of that complexity, monitoring microservices can become a challenge.

Architecture 189

Architecture Serverless Azure Programming 189

Dynatrace

JUNE 30, 2020

In my role as DevOps and Autonomous Cloud Activist at Dynatrace, I get to talk to a lot of organizations and teams, and advise them on how to speed up delivery while also increasing the delivery in order to minimize the impact on operations. We came up with list of four key questions, then answered and demoed in our recent webinar.

Lambda 174

Lambda Monitoring Cloud DevOps 174

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 20, 2020

Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics. Machine learning models also take time to build, which makes it difficult for them to pivot and scale with dynamic cloud-native environments. A radically different approach to AIOps.

Artificial Intelligence 239

Artificial Intelligence Serverless Analytics Innovation 239

Dynatrace

JUNE 8, 2022

Azure provides a wide variety of cloud services with globally distributed applications. Running containers in the cloud is also a very popular use case for Azure. Because all these resources generate huge amounts of data in various locations, it makes it difficult to monitor. Observability in the cloud can be hard to achieve.

Azure 174

Azure Performance Infrastructure Cloud 174

Dynatrace

FEBRUARY 15, 2023

Especially when seamless end-to-end solutions are needed, it’s necessary to add relevant business context to data to unlock the value of insights that are hidden in the vast amount of observability, security, and business data derived from modern clouds, and overcome the challenges of data that’s locked in organizational silos.

Government 157

Government Serverless Analytics Metrics 157

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. Understanding resource utilization for cost management.

Azure 178

Azure Monitoring Virtualization Metrics 178

Dynatrace

DECEMBER 22, 2021

Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope. Observability platforms are becoming essential as the complexity of cloud-native architectures increases. Observability platform vs observability tools: What’s the difference?

Artificial Intelligence 169

Artificial Intelligence Metrics Architecture DevOps 169