article thumbnail

Carving an AWS certification path

Dynatrace

By carving the right AWS certification path, developers can even use their certification and training to advance their careers long term. What is the value of AWS training and certification? You and your peers – if you team up – can benefit on multiple levels from AWS training and certification.

AWS 202
article thumbnail

Percona Live 2023 Call For Papers Open!

Percona

This is the premier open source database conference and you not only want to attend but you also need to present at! Topics can cover any and all open source database and data-related topics. If Kubernetes, Cloud, observability, or DevOps your thing – we want you to! The deadline to submit is February 17th.

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

Cloud Native Predictions for 2024

Percona

of respondents are currently utilizing databases in Kubernetes (k8s). These indicators suggest that the adoption of databases on k8s is in its early stages and is likely to continue growing in the future. However, 17% of organizations operate security separately from DevOps, lacking any DevSecOps initiatives.

Cloud 79
article thumbnail

Monitoring-as-code through Dynatrace’s Open-Source Initiative

Dynatrace

Dynatrace’s OneAgent automatically captures PurePaths and analyzes transactions end-to-end across every tier of your application technology stack with no code changes, from the browser all the way down to the code and database level. For instance, Zurich Insurance Company, applied this approach through Azure DevOps.

article thumbnail

Trends and Topics for 2022

Adrian Cockcroft

As an outcome of the DevOps Enterprise Forum I collaborated on a paper called Building Industrial DevOps Stickiness by adding an introduction to Wardley Mapping to the story. Wardley Mapping is still emerging but continuing to grow it’s influence and practitioners, including the Serverless First community mentioned above.

article thumbnail

Cloudy with a high chance of DBMS: a 10-year prediction for enterprise-grade ML

The Morning Paper

The following chart breaks down features in three main areas: training and auditing, serving and deployment, and data management, across six systems. Finally, an analysis of ML research directions reveals the following arc through time: systems for training, systems for scoring, AutoML, and then responsible AI.

article thumbnail

MLOps and DevOps: Why Data Makes It Different

O'Reilly

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Software Architecture.

DevOps 138