A trusted database is fundamental to the smooth and secure operation of telecommunications services:, from network management and customer service to compliance and fraud prevention. MongoDB is one of the most widely used databases (DB Engines, 2024) for enterprises, including those in the telecommunications industry. It provides a sturdy, adaptable and trustworthy foundation. It also safeguards sensitive customer data while facilitating swift responses to rapidly evolving situations.

The choices you make around IT infrastructure have great impact for both business cost and performance, across areas as diverse as operations, finance, data analysis and marketing. Given the importance of data across all of these areas and frankly, across your business as a whole, making the right decision when choosing a new storage system is critical. In this blog post we will take a look at some of the factors to consider in order to ensure you balance cost effectiveness with performance.

You may have heard of the term Open Radio Access Networks (RAN) widely used in the telecom industry in recent years. In this blog, we are going to explain what Open RAN is, why it represents an important technology transformation, and how it will impact the telecom ecosystem. It is the first part of a series of blogs that will discuss this popular topic.

Jul 17, 2024: Today Canonical announced the release of Charmed PostgreSQL, an enterprise solution that helps you secure and automate the deployment, maintenance and upgrades of your PostgreSQL databases across private and public clouds. PostgreSQL is an open source database management system. It has been successfully used for more than 3 decades across all IT sectors. Its maturity and its vibrant community consistently make it a first-choice DBMS among developers.

Cloud storage solutions can provide public sector organisations with a high degree of flexibility when it comes to their storage needs, either public cloud based, or in their own private clouds. In our previous blog post we looked at the economic differences between these two approaches. In this blog we will explore some of the security best practices when using cloud storage, so that you can ensure that sensitive data remains securely stored and compliance objectives are met.

Apache Spark, a framework for parallel distributed data processing, has become a popular choice for building streaming applications, data lake houses and big data extract-transform-load data processing (ETL). It is horizontally scalable, fault-tolerant, and performs well at high scale.

If you’ve been reading my blogs for the past two years, you know that the automotive industry is probably the most innovative one today. As a matter of fact, some of the biggest company valuations revolve around electric vehicles (EVs), autonomous driving (AD) and artificial intelligence (AI). As with any revolution, this one comes with its set of challenges.

Regular patching is essential for maintaining a secure environment, but there is no one-size fits all approach for keeping your Linux estate safe. So how do you balance the frequency of updates with operational stability? There are strategies for enabling security patching automations in a compliant and safe way, for even the most restrictive and regulated environments.

Earlier this year at Mobile World Congress (MWC) 2024 in Barcelona, Canonical announced the availability of Real-time Ubuntu on Amazon Elastic Kubernetes Services Anywhere (EKS Anywhere). With this technology enablement, a telecom operator can confidently run its Open Radio Access Network (RAN) software workloads on Amazon EKS Anywhere, thanks to the necessary support for ultra low-latency data processing with high reliability in Real-time Ubuntu.