Operations | Monitoring | ITSM | DevOps | Cloud

Technical folks in OSS communities often find themselves in permanent learning mode. Technology changes constantly, which means learning new things — whether it’s a new feature in the latest OSS release or an emerging industry best practice — is, for many of us, simply a natural part of our jobs. This is why it’s important to think about how we learn, and improve the skill of learning itself.

The commercial version of InfluxDB 3.0 is a distributed, scalable time series database built for real-time analytic workloads. It supports infinite cardinality, SQL and InfluxQL as native query languages, and manages data efficiently in object storage as Apache Parquet files. It delivers significant gains in ingest efficiency, scalability, data compression, storage costs, and query performance on higher cardinality data.

Terraform, a powerful Infrastructure as Code (IAC) tool, has long been the backbone of choice for DevOps professionals and developers seeking to manage their cloud infrastructure efficiently. However, recent shifts in its licensing have sent ripples of concern throughout the tech community. HashiCorp, the company behind Terraform, made a pivotal decision last month to move away from its longstanding open-source licensing, opting instead for the Business Source License (BSL) 1.1.

A look at what Arrow is, its advantages and how some companies and projects use it. Over the past few decades, using big data sets required businesses to perform increasingly complex analyses. Advancements in query performance, analytics and data storage are largely a result of greater access to memory. Demand, manufacturing process improvements and technological advances all contributed to cheaper memory.

In collaboration with F5, ServiceNow® Cloud Observability is pleased to announce the availability of the OpenTelemetry Arrow Project. This co-donated and co-developed project gives organizations greater control over the data extracted from their cloud applications—as well as a path forward to improve the return on investment (ROI) of that data.