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How to build a relationship with your customer through customer support? Dive into the details in episode 54 of DevOps Accents with our guest Caolan Melvin from VoxMail: https://mkdev.me/posts/humanizing-customer-support-with-caolan-melvin-from-voxmail-54
What can we do to make our customer support systems better? Our guest for episode 54 of DevOps Accents was Caolan Melvin from VoxMail. Check out this part of our conversation, or go for the full episode wherever you get your podcasts!

https://www.youtube.com/watch?v=ivqbxIENWbI
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What else can be done both for the customer and the company to improve the customer support experience? Are there subconscious things that affect us? More on this in episode 54 of DevOps Accents with Caolan Melvin from VoxMail: https://mkdev.me/posts/humanizing-customer-support-with-caolan-melvin-from-voxmail-54
#mkdevWeeklyHighlight
Full of pretty diagrams, this article explains your options to handle sudden spikes of traffic. Worth bookmarking it for the future: https://newsletter.scalablethread.com/p/how-to-handle-sudden-bursts-of-traffic
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Will there be a point in the future, when AI by itself will be a customer support solution that works? Listen to the full discussion in episode 54 of DevOps Accents with Caolan Melvin from VoxMail: https://mkdev.me/posts/humanizing-customer-support-with-caolan-melvin-from-voxmail-54
In the latest article by Paul Larsen, he explores the tangible impacts and potential overestimations of GenAI in data and AI team management. Featuring insights from industry leaders like Andraž Tori, Pinar Karabulut-Leblebici, and Emily Gorcenski, the piece delves into how GenAI shapes project ideation, productivity, and talent development within teams. Dive deeper into the realities vs. the hype of GenAI at mkdev. #AI #DataScience #GenAI https://mkdev.me/posts/how-genai-has-and-hasn-t-changed-the-way-allianz-thoughtworks-and-outbrain-lead-data-and-ai-teams
In the 62nd mkdev dispatch Pablo analyses the recent DeepSeek news. Were we all just stupid? Also inside: Karpenter v1.0.0Karpenter v1.0.0, Troubleshooting Amazon EKS networking issues, Monolithic Architecture of Terraform and more: https://mkdev.me/posts/deepseek-and-the-5-million-ai-revolution-are-we-all-just-stupid-62
Documentation in software development can feel like a chore, yet it’s essential for preserving knowledge. Led by Paul Larsen, we introduced an AI-driven tool that automates documentation for data warehouses. Our system extracts essential details and generates clear, structured documentation quickly and accurately.

The impact? Documentation is 30x faster, allowing engineers to focus on real engineering tasks. Are you overwhelmed by documentation debt? We can tailor an AI solution to streamline your processes. Contact us to discuss how we can help.

Join our free webinar on February 20, 2025, at 3 PM UTC for insights into scaling AI effectively. Register at: https://mkdev.me/webinars/scaling-ai

Bring your challenges, and let’s explore AI solutions together.
#mkdevWeeklyHighlight
Don’t miss this: you don’t need DynamoDB table for state-locking anymore. New approach that Hashicorp took is much simpler and one might wonder why it wasn’t done this way from the start. Check out this piece by Kieran Lowe: https://kieranlowe.io/terraform-s3-backend-setup-skip-the-table
💕 Love is in the air, and the new Valentine's Day collection is in mkdev's store. Fans favorite illustration by mkdev is the best present for Saint Valentine's Day for your second half. And for yourself of course! And to be fair you don't even need a special date to get yourself a cool t-shirt. Treat yourself! 😻
Shop here: https://store.mkdev.me/#!/
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How much fraud is there? As they say, “the number may surprise you”. Dive deeper into the world of preventing fraud in episode 55 of DevOps Accents with Katarina Pranjić from LexisNexis Risk Solutions: https://mkdev.me/posts/preventing-digital-fraud-with-katarina-pranji-from-lexisnexis-risk-solutions-55
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What changes happened to the fraud landscape recently? More on that in episode 55 of DevOps Accents with Katarina Pranjić from LexisNexis Risk Solutions: https://mkdev.me/posts/preventing-digital-fraud-with-katarina-pranji-from-lexisnexis-risk-solutions-55
Our guest for episode 55 of DevOps Accents was Katarina Pranjić from LexisNexis. Here's a part of our conversation about synthetic identities. Check out the full episode wherever you get your podcasts!

https://www.youtube.com/watch?v=0K-rEf_fUZY
Explore the power of container security with Kirill Shirinkin as he guides you through enhancing your CI pipeline with Clair, a tool that identifies vulnerabilities in container images. Learn to automate security scans using Clair to safeguard your deployments: https://mkdev.me/posts/scan-container-images-with-clair-v4
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What can we do better to better protect people from fraud? More details in our conversation with Katarina Pranjić from LexisNexis Risk Solutions: https://mkdev.me/posts/preventing-digital-fraud-with-katarina-pranji-from-lexisnexis-risk-solutions-55
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#mkdevWeeklyHighlight
Apparently Google Cloud has a decent native tracing solution, integration of which this article by Punit Sethi explores: https://punits.dev/blog/building-observability-with-google-cloud-services/
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How did AI affect fraud? There are many ways, some of which are predictable, and some a very new. Full discussion with Katarina Pranjić from LexisNexis Risk Solutions in episode 55 of DevOps Accents: https://mkdev.me/posts/preventing-digital-fraud-with-katarina-pranji-from-lexisnexis-risk-solutions-55
Horror story time! In a land not so far away from mkdev's headquarters in Munich one insurance company almost had to cancel their IT migration. Because their legacy system was so old, it couldn’t generate the test cases needed to validate their new setup, turning a critical IT migration into a nightmare. 👻

That’s when our Head of Data & AI, Paul Larsen, stepped in. 🧙‍♂️

With his leadership, we built an AI-driven automation solution that:
✔️ Transformed dense insurance documents into a reference pricing engine, automatically converting specs into Python code.
✔️ Extracted test cases using LLMs so nothing slipped through the cracks.
✔️ Built a “delta-explainer” that traced every discrepancy back to its source.

Weeks of manual work? Gone.
Instead, they had an automated, AI-powered process that worked in days saving time, improving accuracy, and future-proofing their operations.

Still dealing with nightmares of outdated IT slowing you down? Let’s fix that! Contact us at paul@mkdev.me for GenAI wizardry.
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Is Kubernetes starting to feel less like a powerful tool and more like a complexity monster? 🤔 In the new episode of the DevOps Accents podcast we dove into a conversation with Gerrit Schumann from mogenius, and it sparked a lot of thoughts. We asked some tough questions:

Has the cloud-native landscape become too intricate?
Are we placing unrealistic expectations on developers to be Kubernetes experts?
Is there a better way to manage this complexity and empower teams?

Short answer -- The need for simplification is real. We discussed the rise of self-service platforms and the importance of abstracting away unnecessary complexity.
It's clear that while Kubernetes is incredibly powerful, we need to find ways to make it more accessible and manageable. We need to focus on enabling developers to focus on what they do best: building great software. While many of you are experiencing Kubernetes fatigue, we also urge you to take a closer look at mogenius given they are about to release a V2 that will bring a powerful new Kubernetes Manager for development teams. More details are in the episode, you don't want to miss it!

https://mkdev.me/posts/kubernetes-has-gotten-too-complicated-with-gerrit-schumann-from-mogenius-56