Operations | Monitoring | ITSM | DevOps | Cloud

Cloud computing has been transforming financial IT infrastructure into a utility allowing financial institutions (FIs) to access computing resources on-demand letting FIs offload costs and effort of setting-up and managing their own on-premises infrastructure, improving agility and time to business value. As more and more financial institutions rely on hybrid cloud services, data security in the cloud is a business imperative.

When I left Red Hat to join SUSE as a Technical Marketing Manager at the end of 2021, I heard about Harvester, a new Hyperconverged Infrastructure (HCI) solution with Kubernetes under the hood. When I started looking at it, I immediately saw use cases where Harvester could really help IT operators and DevOps engineers. There are solutions that offer similar capabilities but there’s nothing else on the market like Harvester.

We are in May 2022, and hundreds of startups have built their infrastructure on AWS using Qovery. This article will share the 10 best (and fancy) AWS architectures our customers have made. From the most classic architecture to the craziest 🤪 It can give you some ideas. Let's go 🚀

The desire to release features faster and deliver value to customers sooner is prompting many IT teams to adopt DevOps and Agile practices. By automating parts of the development process where possible and working in shorter cycles to release small changes more often, those teams that do well experience fewer errors and produce higher quality code. All of which is good news, until it comes to the database.

Active Directory (AD) objects are rarely managed as standalone entities. In Part 3 of this series, we covered practical exercises for creating and managing two of the most critical AD objects, namely users and computers, after setting up a laboratory AD environment on virtual machines. To manage AD effectively, knowledge and practical experience with AD groups and organization units (OUs) is imperative. In this fourth part of our series, we’ll elaborate on this.

To protect the availability of the services your customers rely on, AIOps adoption is an imperative for large enterprises. Interlink Software’s AIOps platform applies machine learning to automate ITOps; reducing alert noise, performing event correlation, anomaly detection and root cause determination. As the world emerges from the Covid-19 pandemic, organizations are increasingly embracing the flexibility of home and hybrid working.

As with organisations in many other industries, logistics services are under intense pressure to remain competitive to face severe market disruption. Disruptive innovation has reached this industry, which is currently experiencing strong inflexion points. The logistics sector is being forced to innovate as rapidly and quickly as possible. Therefore, organisations need to stay competitive and drive innovation processes.