Lead Engineer at Technical University of Crete
Chania, GR
Joined Nov 2019
Worked at Siemens and Atos as a software engineer. Worked in the RPA domain with Softomotive for the acquisition by Microsoft. Currently working in the Technical University of Crete. Holds a PhD in Electrical, Electronic and Computer Engineering, University of Newcastle Upon Tyne (UK).
Stats
Reputation: | 3857 |
Pageviews: | 822.7K |
Articles: | 38 |
Comments: | 6 |
Agile
Observability and Performance
The dawn of observability across the software ecosystem has fully disrupted standard performance monitoring and management. Enhancing these approaches with sophisticated, data-driven, and automated insights allows your organization to better identify anomalies and incidents across applications and wider systems. While monitoring and standard performance practices are still necessary, they now serve to complement organizations' comprehensive observability strategies. This year's Observability and Performance Trend Report moves beyond metrics, logs, and traces — we dive into essential topics around full-stack observability, like security considerations, AIOps, the future of hybrid and cloud-native observability, and much more.
Low-Code Development
Low code, no code, citizen development, AI automation, scalability — if you work in the tech world, it's likely that you have been encouraged to use tools in at least one of these spaces. And it's for a good reason as Gartner has projected that by 2025, 70% of applications developed within organizations will have been built using low- and/or no-code technologies. So does the practice live up to the hype? Year over year, the answer is a resounding "yes" as the industry continues to evolve. Organizations have an increased demand for more frequent application releases and updates, and with that comes the need for increased efficiencies. And this is where low-code and no-code development practices shine. Sprinkle AI automation into low- and no-code development, and the scalability opportunities are endless. This Trend Report covers the evolving landscape of low- and no-code development by providing a technical exploration of integration techniques into current development processes, the role AI plays in relation to low- and no-code development, governance, intelligent automated testing, and adoption challenges. In addition to findings from our original research, technical experts from the DZone Community contributed articles addressing important topics in the low code space, including scalability, citizen development, process automation, and much more. To ensure that you, the developer, can focus on higher priorities, this Trend Report aims to provide all the tools needed to successfully leverage low code in your tech stack.
Observability and Application Performance
Making data-driven decisions, as well as business-critical and technical considerations, first comes down to the accuracy, depth, and usability of the data itself. To build the most performant and resilient applications, teams must stretch beyond monitoring into the world of data, telemetry, and observability. And as a result, you'll gain a far deeper understanding of system performance, enabling you to tackle key challenges that arise from the distributed, modular, and complex nature of modern technical environments.Today, and moving into the future, it's no longer about monitoring logs, metrics, and traces alone — instead, it’s more deeply rooted in a performance-centric team culture, end-to-end monitoring and observability, and the thoughtful usage of data analytics.In DZone's 2023 Observability and Application Performance Trend Report, we delve into emerging trends, covering everything from site reliability and app performance monitoring to observability maturity and AIOps, in our original research. Readers will also find insights from members of the DZone Community, who cover a selection of hand-picked topics, including the benefits and challenges of managing modern application performance, distributed cloud architecture considerations and design patterns for resiliency, observability vs. monitoring and how to practice both effectively, SRE team scalability, and more.
Comments
Mar 18, 2024 · Stelios Manioudakis, PhD
Thank you for the comment Jim! I will update the article with a descriptive diagram shortly.
Nov 18, 2023 · Stelios Manioudakis, PhD
Thank you Batista!
Feb 23, 2023 · Stelios Manioudakis, PhD
Thank you for the comment Nilesh! And thanks for reading my articles! I will try to make things clearer, bear with me please!
Feb 16, 2023 · Stelios Manioudakis, PhD
Thank you Anemarie! I am glad you enjoyed this article.
Jan 21, 2023 · Stelios Manioudakis, PhD
I am glad that I helped Helena!
Apr 14, 2022 · Stelios Manioudakis, PhD
Thank you Prashant!