This article breaks down the fundamentals, from data collection to analysis, to help you gain deeper insights into your applications.

In the fast-paced, ever-evolving world of software development, the ability to seamlessly migrate and manage workloads on the cloud is a game changer. At JFrog, we’re committed to empowering organizations to achieve their DevOps, DevSecOps, and MLOps goals with speed, security, and efficiency. Migrating these workloads to the cloud offers numerous advantages, including increased scalability, cost efficiency, and improved agility.

Creating OpenSearch clusters is crucial for organizations aiming to harness the power of distributed search and analytics. These clusters allow businesses to efficiently store, index, and examine extensive amounts of data in real time, offering valuable insights for decision-making and operational efficiency. A significant advantage of creating OpenSearch clusters is that they support replication and shard allocation, which ensures high availability and fault tolerance.

It’s a fast-paced business world out there. This means artificial intelligence (AI) models that help modern businesses win are more than welcome. The right model can drive innovation, streamline workflows, and save you money. But OpenAI’s powerful models can have a catch: High-frequency API usage, complex queries, and data processing can lead to unexpectedly high costs. Surprise costs eat up budgets and threaten other critical investments. Not good.

The SharePoint REST API is a powerful tool that allows developers to interact with SharePoint data and resources remotely. Whether you’re managing documents, configuring sites, or building custom applications, the REST API provides a flexible, efficient way to programmatically access and manipulate data within a SharePoint environment.

NetApp is excited to announce the addition of Shuffle Data Store for Ocean for Apache Spark. Customers running on AWS can now benefit from improved resilience and efficiency for multi-step data preparation pipelines that require Apache Spark to shuffle data. The external shuffle solution is backed by either Amazon FSx for NetApp ONTAP storage or Amazon S3 storage, which have been optimally configured for Spark workloads.

Puppet 8 is here, and it’s included in the latest release of Puppet Enterprise. It’s the biggest update to Puppet since Puppet 7’s first release in November 2020, and it carries a host of enhancements and improvements to make managing and scaling your infrastructure easier than ever. Read on for a list of the major changes included in Puppet 8, how they benefit you, and how to get going with Puppet 8 fast.

This guide covers types of data that can be redacted and step-by-step instructions for configuring the Attribute Processor.