Operations | Monitoring | ITSM | DevOps | Cloud

Code signing: securing against supply chain vulnerabilities

When creating an application, developers often rely on many different tools, programs, and people. This collection of agents and actors involved in the software development lifecycle (SDLC) is called the software supply chain. The software supply chain refers to anything that touches or influences applications during development, production, and deployment — including developers, dependencies, network interfaces, and DevOps practices.

What Are Semantic Conventions in OTEL?

OpenTelemetry (OTEL) is a big data platform that enables the collection and analysis of large-scale telemetry data. Many companies have adopted it for use in their products. In this post, we’ll discuss semantic conventions in OpenTelemetry and how they are used to make data processing easier. We’ll also discuss the different types of semantic conventions and their importance.

The Journey to Intelligent Payment Operations

In today’s payments ecosystem, the ability to monitor and use payment data effectively represents a real and essential competitive advantage. Intelligent operations should be a strategic goal for the entire company, and when executed properly, will enable you to build a future-proof payment operations infrastructure.

The importance of IT's role in digital transformation. | Resolve

It's no mystery how important automation is when it comes to augmenting the digital transformation initiatives for any company. However, if you do not understand IT's role in those efforts, you risk a fragile and siloed infrastructure that may be bring more problems than benefits as you try to scale your business. In this video, Resolve CEO Vijay Kurkal explains why IT is the foundation of your business.

Data Observability Explained: How Observability Improves Data Workflows

Organizations in every industry are becoming increasingly dependent upon data to drive more efficient business processes and a better user experience. As the data collection and preparation processes that support these initiatives grow more complex, the likelihood of failures, performance bottlenecks, and quality issues within data workflows also increases.