Operations | Monitoring | ITSM | DevOps | Cloud

More and more teams are moving away from monolithic applications and towards microservice-based architectures. As part of this transition, development teams are taking more direct ownership over their applications, including their deployment and operation in production. A major challenge these teams face isn't in getting their code into production (we have containers to thank for that), but in making sure their services are reliable.

Communications are evolving at a dizzying pace, challenging service providers of all stripes to adopt the latest technologies and reshape their businesses for the new world. Telco Cloud, an area my team and I are deeply focused on, is one of the key components in making that transformation a success.

Arm processors have become increasingly popular in recent years, providing energy-efficient, cost-effective processing power to both mobile and cloud computing ecosystems. As a part of this growth, more and more organizations are choosing to leverage the many benefits of Arm-based architectures for their containerized workloads. Today, Google Cloud announced its Arm-based Tau T2A virtual machines (VMs), which you can also use to run workloads in Google Kubernetes Engine (GKE).

When the first supporting server-side infrastructure for Collapsed Reply Threads (CRT) shipped with Mattermost v5.29 (November 2020), it included an ominous release note: > This setting is enabled by default and may affect server performance. While performance concerns are possible with any new feature, most features don’t require significant architecture and data model changes. Most features don’t ship incrementally across 20 monthly releases. And most features – to their credit?

Running machine learning (ML) inference in Edge devices close to where the data is generated offers several important advantages over running inference remotely in the cloud. These include real-time processing, lower cost, the ability to work without connectivity and with increased privacy.

The heart of any software development operation is infrastructure. This combination of virtual and physical assets ensures that the flow, storage, processing, and analysis of data remains efficient and as seamless as possible. When it comes to selecting a model for managing and deploying infrastructure, IT managers typically have two choices: infrastructure as code (IAC) or infrastructure as a service (IaaS).