Swiss Digital Network

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Reducing IT Operations Costs with an SRE-Driven Operating Model in the Digital Age

[ad_1] Key Takeaways Maintaining a sysadmin approach for cloud-based IT operations results in hidden costs that can be mitigated by adopting Site Reliability Engineering (SRE). Leveraging an SRE-driven model will reduce costs by: Reducing the headcount required to provision and operate applications in the cloud,  improving customer experience through better reliability, optimizing resource consumption, increasing […]

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Unlocking the Power of Continuous Delivery: A Benchmarking Journey

[ad_1] Benchmarked Tools We benchmarked the following tools (listed here in alphabetic order): ArgoCD with Argo Workflows ArgoCD is a declarative continuous delivery tool for Kubernetes. It automates application deployments by ensuring infrastructure aligns with Git repositories, making it essential for modern DevOps practices. ArgoCD can be used as a standalone tool or as part

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Reducing IT Operations Costs with an SRE-Driven Operating Model in the Digital Age

[ad_1] Key Takeaways Maintaining a sysadmin approach for cloud-based IT operations results in hidden costs that can be mitigated by adopting Site Reliability Engineering (SRE). Leveraging an SRE-driven model will reduce costs by: Reducing the headcount required to provision and operate applications in the cloud,  improving customer experience through better reliability, optimizing resource consumption, increasing

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Tech Guide: Reliably Deploying and Running Your LLMs

[ad_1] Introduction In the rapidly evolving world of AI, Large Language Models (LLMs) have become essential tools for a wide range of applications, from natural language processing to content generation. However, deploying and running LLMs in production can be complex and challenging, especially when ensuring reliability, scalability, and security. In this tutorial, we will walk

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Effective Continuous Verification – Towards ML-driven Software staging automation and testing 

Effective Continuous Verification Towards ML-driven Software staging automation and testing Recently, I came across a post (ref 1) that deeply resonated with me as it highlighted a common challenge I observe daily: the promise of DevOps is stagnating. Consider these statistics from the post and reflect whether they also apply to you: Only 11% of

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AIOps – A Powerful Tool off the GenAI Hype Radar

  People in software engineering who speak of AI are usually referring to code assistants. When it comes to the verification and operation of software and systems, however, AIOps, which has received little attention to date, is proving to be particularly effective. Today, the hype surrounding generative artificial intelligence (GenAI) is dominating software engineering. Technologies

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Tech Guide: Data Contracts & Data Tests for Your Data Product Digital Highway

[ad_1] Introduction Are you eager to find out how you can implement data products with a ‘Digital Highway’ approach powered by quality assurance and pipelining best practices? Do you want to know how to do this technically? In this hands-on guide, we demonstrate how to structure a GitLab CI pipeline to implement data as a

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Introduction to Data Mesh, Data Product & the Digital Highway Approach

[ad_1] The term data mesh was coined by Zhamak Dehghani in 2019 and is based on four fundamental principles that bundle well-known concepts. But before we dive deeper into the four main concepts, let us take a closer look at the general definition of a data mesh. Data mesh is a sociotechnical approach to building

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#3 – Digital Highway 2.0 or the five Engineering Pillars to enable Reliable Digital Solutions 

[ad_1] In this revisited version, we define the Digital Highway as a blueprint for high-velocity delivery of reliable digital solutions, based on five engineering capabilities:  Effective SRE for software, data, and ML models  Effective Continuous Delivery (CD) for software, data, and ML models  Effective MLOps, AIOps, and DataOps  Effective Observability for software, data, and ML

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#2 – Why Digital Highway 2.0?

[ad_1] The need for Effective Engineering for MLOps & AIOps, Observability and Continuous Verification Enhancing the Digital Highway Blueprint with Effective MLOps Engineering During projects with our technology partners providing AI-enabled continuous delivery such as Harness and ML/AI-driven observability such as Splunk and Dynatrace, we perceived an increasing need for a wider and systematic application

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