Is the cloud the next thing for long-term data retention? Looking at the key vendors in the space

For any organisation in this era, there is a realisation on how data is critical for business needs and operations.

An enormous amount of data has been produced already after the disruption of cloud computing into various types of organisation, be it education, finance, healthcare or manufacturing. Today, organisations are more concerned about the data which has been developed in the last 15 to 20 years due to the surge of IT infrastructure.

This data and applications are probably not being used...

By Sagar Nangare, 12 December 2018, 0 comments. Categories: Applications, Big Data, Data & Analytics, Software, Storage.

Exploring the evolution of Kubernetes to manage diverse IT workloads

Kubernetes started in 2014. For next two years, the adoption of Kubernetes as container orchestration engine was slow but steady, as compared to its counterparts – Amazon ECS, Apache Mesos, Docker Swarm, GCE et al. After 2016, Kubernetes started creeping into many IT systems that  have wide variety of container workloads...

By Sagar Nangare, 30 November 2018, 0 comments. Categories: Containers, Developers, Infrastructure, Platform.

OpenStack and NVMe-over-Fabrics: Getting higher performance for network-connected SSDs

The evolvement of the NVMe interface protocol is a boon to SSD-based storage arrays. It further powered SSDs (solid state drives) to obtain high performance and reduced latency for accessing data. Benefits further extended by the NVMe over Fabrics network protocol brings NVMe feature retained over the network fabric, while accessing the storage array remotely. Let’s understand how.

While leveraging NVMe protocol with...

By Sagar Nangare, 18 September 2018, 0 comments. Categories: Architecture, Developers, OpenSource, Platform.

Why NVMe protocols are important for new data centre workloads

Today, data is the new fuel for business. New age technologies like artificial intelligence, Internet of Things, blockchain, and machine learning – all needs data to be stored, processed and analysed. Large amounts of data are generated exponentially, with a rise in internet users over the past several years. According to ‘Data Never Sleeps’, the report from Domo, 2.5 quintillion bytes of data is generated every day.

This data tsunami puts forth challenges for IT infrastructure to provide...

By Sagar Nangare, 09 August 2018, 0 comments. Categories: Data & Analytics, Data Centres, Infrastructure.