article thumbnail

Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. available, and more are in the pipeline.

article thumbnail

How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. They shouldn’t worry about the platform; they should just start writing code.” “That means making it available, resilient, and secure,” Grabner said. “It makes them more productive.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Mitigating risk with AI observability: Dynatrace empowers organizations to embrace AI for all use cases

Dynatrace

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. At Perform 2024, Dynatrace announced the immediate availability of AI Observability , a capability that enables organizations to observe how their AI implementations are behaving.

article thumbnail

Bringing IT automation to life at Dynatrace Innovate Barcelona

Dynatrace

At the Dynatrace Innovate conference in Barcelona, Bernd Greifeneder, Dynatrace chief technology officer, discussed key examples of how the Dynatrace observability platform delivers value well beyond traditional monitoring. That’s why we added to Dynatrace AutomationEngine , to run workflows, or use code to automate,” Greifeneder explained.

article thumbnail

Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

But developers need code-level visibility and code-level data.” That’s not how I envision code-level observability,” Laifenfeld said. Laifenfeld argued that developers shouldn’t bear the burden of the additional workload when their focus is their code: “Learning Kubernetes as a developer is not easy,” she said.

article thumbnail

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI

Dynatrace

At Perform, our annual user conference, in February 2023, we demonstrated how people can use natural or human language to query our data lakehouse. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.

article thumbnail

DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

DevOps platform engineers are responsible for cloud platform availability and performance, as well as the efficiency of virtual bandwidth, routers, switches, virtual private networks, firewalls, and network management. Version control system and source code management with end-to-end DevOps platform and cloud-hosted Git services.

DevOps 196