Hacking into an AWS Account – Part 1: Atlassian Apps As our increasingly sophisticated technology creates more and more interconnected systems, the need for greater security becomes more important than ever. Yet cyber security doesn’t equal setting up a firewall or an antivirus software anymore; it’s a process involving policies, training, compliance, risk assessment and infrastructure. Not having this process…
The AWS Partner Network and AWS Competencies – What Are They And Why Do They Matter? If you’re an IT solution provider like us, you’ve probably worked with AWS products and services. After all, the leading Cloud infrastructure provider has over 200 fully featured services from data centers all over the world. That’s an impressive arsenal. Knowing what’s what is crucial if you want to use…
Cloud Adoption for Communication Service Providers – Quick Overview The current world situation proves to be a testing time for Communication Service Providers (CSP), as they are facing many new challenges. The main are: a visible slowdown in revenue and new subscribers in developed markets; investors pressuring to reduce costs and introduce more agility; many technology changes at once: 5G, public cloud adoption, moving workloads to the edge, increasing automation and machine learning…
MLflow: Tracking ML Model Changes & Deployment in Azure In this post, we’ll cover tracking changes, as well as comparing and tracking the deployment of Machine Learning models using MLflow library. We’ll later set up resources in the Azure Cloud so we can provision our model, as well as create the Azure DevOps pipeline to deploy a new model…
What Does “Digital Transformation” Mean? Digital transformation is something most of us hear on a daily basis – but why is it so vital? If you work in IT, or simply work in management, it’s a word that crops up at most meetings. Forbes alone has 148,811 results (at the time of writing, at least)…
Mesh Twin Learning: How To Make ML Models Compete For You In our last blog post, we focused on the digital transformation in the manufacturing industry, sharing our initial thoughts around micro-optimisations and MTL; short for Mesh Twin Learning, our own concept for enabling the technical implementation of various automation mechanisms on production lines. This concept addresses most of the common…
Solving Old Problems With New Technology Digital technology can solve many issues for a variety of businesses and industries. There are many challenges that simply can’t be solved through real-world, physical means alone – we need digital solutions to give us the computational speed, insights and capabilities. The Taguchi Methods are one such issue – but…
Scaling Containerised Applications on AWS – Amazon EKS Previously, we’ve compared containerised applications using Amazon Elastic Container Service (ECS) and AWS Fargate. However, there are still more options to discuss! Specifically, as you may remember, apart from these two services mentioned above, our Proof of Concept (PoC) also involved testing Amazon Elastic Container Service for Kubernetes, which can…
Industry 4.0 Technologies: Where Is The Revolution Heading? When it comes to embracing new technology and digitising entire sectors of business, look no further than the Industry 4.0 revolution. All over the world, companies from the likes of manufacturing, warehousing and logistics are embracing Industry 4.0’s key technologies to open up new values and benefits. However, Industry 4.0…
Cloud Security in AWS: The Most Common Issues Security is arguably the most important issue when it comes to the Cloud. It’s one of the biggest concerns companies have before migrating, and it’s something even Cloud-native companies check up on regularly. In short, it’s important to always be up to date with modern security standards. One way to do…
