Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

Engineering 245

Engineering Development DevOps Infrastructure 245

Dynatrace

MARCH 29, 2024

Generative AI: A type of AI that uses an algorithm trained on large amounts of data collected from diverse sources to generate various types of content, including text, images, audio, and synthetic data. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

Artificial Intelligence 188

Artificial Intelligence DevOps Strategy Open Source 188

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

APRIL 6, 2022

Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting.

DevOps 235

DevOps Innovation Infrastructure Analytics 235

Dynatrace

NOVEMBER 22, 2021

Its approach to serverless computing has transformed DevOps. Dynatrace extends contextual analytics and AIOps for open observability. Dynatrace provides new AIOps capabilities for all data sources, including open-source observability data via OpenTelemetry and Prometheus. DevOps/DevSecOps with AWS.

AWS 232

AWS Lambda Artificial Intelligence Serverless 232

Dynatrace

JANUARY 19, 2022

Understanding the difference between observability and monitoring helps DevOps teams understand root causes and deliver better applications. 5 challenges to achieving observability at scale – eBook. Upgrade to advanced observability for answers in cloud-native environments – eBook. What is application security?

Artificial Intelligence 184

Artificial Intelligence DevOps Performance Games 184

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. In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363