Dynatrace

JUNE 6, 2023

Just as organizations have increasingly shifted from on-premises environments to those in the cloud, development and operations teams now work together in a DevOps framework rather than in silos. But as digital transformation persists, new inefficiencies are emerging and changing the future of DevOps.

DevOps 161

DevOps Engineering Innovation Best Practices 161

Dynatrace

NOVEMBER 7, 2023

This complex web of interconnected technologies across a containerized environment introduces various challenges related to visibility, resource utilization, security, orchestration, and collaboration. Adoption of GitOps practices enables platform provisioning at scale.

Engineering 272

Engineering DevOps Best Practices Infrastructure 272

Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. But only 21% said their organizations have established policies governing employees’ use of generative AI technologies.

Artificial Intelligence 228

Artificial Intelligence Cloud Best Practices DevOps 228

Dynatrace

MARCH 2, 2023

While technology is taking aim at many of today’s problems, there’s little doubt that it also introduces new challenges for today’s IT teams. At Perform 2023, Dynatrace’s annual conference, Hightower once again joined DevOps activist Andreas Grabner onstage to discuss the role of AI in today’s cloud environments.

Best Practices 214

Best Practices Internet Internet Cloud 214

Dynatrace

JULY 25, 2023

It further simplifies access to best practices for observability and security use cases and answers “how-to” questions precisely. It also guides users who want to observe new technologies or apply advanced configurations. Davis CoPilot™ will be available later in 2023 as a core technology within the Dynatrace platform.

Best Practices 233

Best Practices Analytics Metrics Code 233

Dynatrace

OCTOBER 25, 2022

With Davis , Dynatrace enables rapid MTTR for SRE and DevOps teams by identifying the path to the root causes of detected problems. The proper focus and best optimization level must be chosen wisely to get the most out of the available time. Example: Unintended side effects of introducing service mesh technology.

Efficiency 234

Efficiency Best Practices DevOps Open Source 234

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments. Enter causal AI.

Performance 184

Performance DevOps Innovation Artificial Intelligence 184

Dynatrace

JANUARY 17, 2024

FinOps, where finance meets DevOps, is a public cloud management philosophy that aims to control costs. Best practices for optimizing AI costs with AI observability and FinOps Adopt a cloud-based and edge-based approach to AI. Use generative AI in conjunction with other technologies. What is AI observability?

Strategy 220

Strategy Artificial Intelligence Storage Cloud 220

Dynatrace

MARCH 3, 2020

The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. By 2023, over 500 million digital apps and services will be developed and deployed using cloud-native approaches.

Performance 240

Performance Education Innovation Software Architecture 240

Percona

DECEMBER 27, 2023

The evolution of cloud-native technology has been nothing short of revolutionary. As we step into 2024, the cornerstone of cloud-native technology, Kubernetes, will turn ten years old. KubeCon NA 2023 recap The theme for KubeCon NA was very clear — AI and Large Language Models (LLMs).

Cloud 82

Cloud Open Source Strategy Best Practices 82

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. Codified infrastructure accelerates DevSecOps practices and adoption.

Serverless 263

Serverless Infrastructure Innovation DevOps 263