Dynatrace

NOVEMBER 9, 2022

Developing a cloud application migration strategy . For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management.

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

JANUARY 23, 2024

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

Performance 176

Performance DevOps Innovation Artificial Intelligence 176

Dynatrace

DECEMBER 15, 2022

However, the prevalence of siloed monitoring tools that offer insights into a single area of the technology stack or support an isolated use case has impeded progress in accessing this value, making it difficult to retain the context of data.

Artificial Intelligence 240

Artificial Intelligence Analytics Innovation Healthcare 240

Dynatrace

NOVEMBER 20, 2023

However, with a generative AI solution and strategy underpinning your AWS cloud, not only can organizations automate daily operations based on high-fidelity insights pulled into context from a multitude of cloud data sources, but they can also leverage proactive recommendations to further accelerate their AWS usage and adoption.

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

Dynatrace

FEBRUARY 15, 2023

Dynatrace integrates observability and security monitoring while leveraging causal AI to deliver answers and intelligent automation from data at an enormous scale. By following a programmatical approach, developers, DevOps and SREs benefit from a single source of truth and streamlined collaboration.

Cloud 165

Cloud DevOps Code Open Source 165

Dynatrace

OCTOBER 1, 2021

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. What is the difference between monitoring and observability? Is observability really monitoring by another name? But what is observability? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

OCTOBER 15, 2021

Monitoring begins here. The data is incredibly plentiful and difficult to store over long periods due to capacity limitations — a reason why private and public cloud storage services have been a boon to DevOps teams. Watch webinar now! Logs, metrics, and traces make up the bulk of all telemetry data. How does OpenTelemetry work?

Open Source 208

Open Source Metrics Cloud Transportation 208

Alex Podelko

AUGUST 18, 2019

In addition to obvious close integration with other Continuous Integration (CI) / DevOps tools, it means better ways to create/maintain load and better ways to analyze information. Mark Tomlinson’s webinar Solving Performance Problems with AI may be a good introduction into the topic.

Performance Testing 243

Performance Testing Testing Performance Testing Tools 243

Percona

APRIL 17, 2023

It is recommended to lower this setting and monitor the impact on query performance and disk IO. Set the value to 60-70% and monitor the memory usage. We can also extend this for automation(using Ansible, for example), which in general, DevOps engineers tend to create a pool of mongos.

Best Practices 52

Best Practices Design Tuning Database 52