As the largest liquidity network in crypto, Paradigm facilitates more than $11 billion in monthly volumes, representing nearly 40% global cryptocurrency option flows. Their free-to-use platform provides a single point of access to multi-asset, multi-instrument liquidity on demand, and Software Architect Jameel Al-Aziz leads the team of developers who build and maintain the platform.

Progressive delivery is a modification of continuous delivery that allows developers to release new features to users in a gradual, controlled fashion. It does this in two ways. Firstly, by using feature flags to turn specific features ‘on’ or ‘off’ in production, based on certain conditions, such as specific subsets of users. This lets developers deploy rapidly to production and perform testing there before turning a feature on.

As we’ve shown in previous blogs, Elastic® provides a way to ingest and manage telemetry from the Kubernetes cluster and the application running on it. Elastic provides out-of-the-box dashboards to help with tracking metrics, log management and analytics, APM functionality (which also supports native OpenTelemetry), and the ability to analyze everything with AIOps features and machine learning (ML).

There’s a reason everyone dreads debugging, especially in today’s complex cloud systems: it’s at the high stakes nexus of nervous senior management, overworked engineers, neverending rabbit holes, copious buckets of time, and fickle customers.

Observability has become a critical aspect of modern software development and operations, allowing organizations to gain insights into the health and performance of their applications and systems. One of the key decisions when implementing observability is choosing between commercial or open-source tools. We spoke to several professionals who shared their experiences and insights on this topic, shedding light on the pros and cons of each approach.

The Honeycomb design team began work on Lattice in early 2021. Over several months, we worked to clean up and optimize typography, color, spacing, and many other product experience areas. We conducted an extensive audit of all components, documenting design inconsistencies and laying the foundation for a sustainable design system. However, a more extensive evaluation and audit were necessary before updating or developing components.

Adoption of Azure Functions in cloud-native applications on Microsoft Azure has been increasing exponentially over the last few years. Serverless functions, such as the Azure Functions, provide a high level of abstraction from the underlying infrastructure and orchestration, given these tasks are managed by the cloud provider. Software development teams can then focus on the implementation of business and application logic.