Artificial Intelligence (AI) - or more specifically Machine Learning (ML) - and automation were big topics for many of our customers in 2022. Common reasons for the interest in AI and automation were to: increase efficiency, reduce manual processing, minimise human error and - especially for the use of ML - identify ‘unknown unknowns’.
Tech saw a lot of challenges in 2022. ITOps, NOC, and SRE teams grappled with shifts in staffing, a disappearance of those with tribal knowledge, a continuing transformation of consumer spending habits, and a general disruption of workplace culture. So what will 2023 look like for the industry? Likely, more volatility—but our panel of industry experts are here to help you navigate the choppy waters while also making some bold predictions. Change is the only constant in the tech sector.
An Azure Load Balancer is a Layer-4 (TCP, UDP) load balancer that provides high availability by distributing incoming traffic among healthy VMs. A load balancer health probe monitors a given port on each VM and only distributes traffic to an operational VM. Azure Load Balancers are frequently used in Azure Virtual Desktop (AVD) deployments. From our work with Azure Load Balancer, we think there are 4 key metrics and events you should proactively monitor and alert on.
Even in the most structured environments with clear operational strategies, complexity build-up in infrastructure and operations is unavoidable as businesses grow. To help these environments thrive in a consistent, reliable way, it’s vital to optimize the IT function: the backbone that supports every business application and ensures service excellence across all other functions. Automating operations is the only way for IT to scale and support today’s business demands.
Almost a decade ago, public clouds offered CIOs the possibility to explore OpEx based infrastructure to optimise their costs. A few years later, many came to the conclusion that the public cloud is not a one-size-fits-all solution to every infrastructure and operations challenge, and cloud repatriation projects gained popularity. CIOs began moving back some of their workloads to private and hybrid/multi-cloud environments to get the best of both worlds.