Operations | Monitoring | ITSM | DevOps | Cloud

South Africa has cemented itself as Africa’s biggest cloud hub, with Johannesburg emerging as a key centre for cloud connectivity in the country. It has seen significant investment from the three major hyperscalers - AWS, Microsoft Azure, and Google Cloud - all of which have a local presence in Johannesburg. This makes the city a strategic launchpad for cloud services, AI innovation, and digital transformation across the African region.

When incidents strike, every second counts. The difference between a minor hiccup and a major outage often comes down to how quickly your team detects and responds to issues. That's why choosing the best DevOps monitoring tools for incident response can make or break your operational excellence. Modern DevOps teams need more than just basic uptime checks.

Launch Week Day 1: Introducing Discover Services Picture this: It's 2 AM, alerts are firing, and you're staring at a dashboard trying to figure out which service is causing the cascade of failures. Your service map is a six-month-old Miro board, and you have no idea what's actually talking to what in production right now. If you've been there, you're not alone. In fast-moving teams, new services get deployed faster than you can track them.

Chaos Engineering has proven itself to be incredibly effective at tracking down failure modes, remediating reliability issues, and preventing risks before they happen. Unfortunately, it can also come with a steep adoption curve. In order to get the most out of Fault Injection testing, a practitioner needs to have a deep knowledge of the service, its expected behavior, and the code behind it. Ultimately, the rewards are worth the time.

Amazon SageMaker makes it easy to prepare data for machine learning (ML) and then train, deploy, and modify ML models. SageMaker is a fully managed service that automates much of the ML lifecycle. So, if you want a single partner to help you through all stages of your Artificial Intelligence (AI) lifecycle, SageMaker might be the answer. Perhaps more important for this post is the promise that Amazon SageMaker can reduce your machine learning model costs. But does SageMaker pricing reflect this?