Dynatrace

NOVEMBER 9, 2022

for some 95% of new digital initiatives by 2025 — up from less than 40% in 2021. . Many organizations turn to cloud migration and cloud application modernization to gain the benefits of serverless environments, such as flexibility, scalability, and more cost-effective cloud infrastructure. . And Gartner predicts that?

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

AUGUST 11, 2022

Dynatrace news. Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. How does function as a service work? But how does FaaS fit in?

Development 250

Development Serverless Best Practices Lambda 250

Dynatrace

JANUARY 31, 2022

Dynatrace news. Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Serverless architecture is the default for modern organizations.

Serverless 176

Serverless Architecture Open Source Innovation 176

Dynatrace

JANUARY 23, 2024

So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data? Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully.

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

Dynatrace

SEPTEMBER 13, 2023

But how can you ensure that your applications meet these pillars and deliver the best outcomes for your business? And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

JUNE 1, 2021

Dynatrace news. Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. What does APM stand for?

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148