As a stylesheet language, CSS has limited capabilities when it comes to writing logic, organizing code, and performing other computational tasks. CSS preprocessors provide a solution to this problem. While CSS has improved a lot in recent years with the introduction of custom and logical properties, math and color functions, new pseudo-classes, and other enhancements, there are still many good reasons to use CSS preprocessors.

Today, I’ll cover the benefits of monitoring and observability in Nutanix AHV environments and Hyper Converged Infrastructures (HCI) and how observability can help IT teams run cost-efficient, performant Nutanix deployments. Modern enterprises need infrastructures designed for resilience, cost-effectiveness, and application performance. Organizations are adopting hybrid multi-cloud strategies and looking to simplify and optimize on-premises and data center operations.

Today, we’re excited to share the latest endpoint release for the Raygun API, user invitations. With this release, customers can now use the API to automate the process of inviting new team members to Raygun. With unlimited seats included in every Raygun account, one of the best ways to get the most out of Raygun is to add more team members to your plan.

Monitoring Redis for performance issues is critical. Redis is famous for its low-latency response while serving a large number of queries. There are certain key metrics that you can monitor to keep track of your Redis instance performance. In this guide, we will go through key Redis metrics that should be monitored and ways to collect these metrics with in-built Redis tools.

We are delighted to share that eG Innovations has become one of a very small number of partners to have achieved AWS’s “Digital Workplace Competency” award following a lengthy and rigorous technical audit process. This designation differentiates eG Innovations from other AWS EUC monitoring vendors as having a solution that meets AWS’s own standards for enterprise software.

OpenTelemetry can be used to trace Go applications that use Kafka to find performance issues and bugs. OpenTelemetry is an open-source project under the Cloud Native Computing Foundation (CNCF) that aims to standardize the generation and collection of telemetry data. Telemetry data includes logs, metrics, and traces. Apache Kafka introduced the ability to add headers to Kafka messages from version 0.11 onwards.

Database monitoring is a critical component in your application performance monitoring. Apart from application code issues, database issues are one of the most common reasons for a bad user experience. MySQL is one of the most popular open-source DBMS that businesses have widely adopted. MySQL monitoring tools can help you identify potential issues with your database, keep a continuous check on your database instances, improve performance and detect and alert you about real-time issues.

Administrators and IT management are increasingly leveraging simple quantifiable KPI indicators such as “Performance Ratings” to gain rapid overviews and track key outcomes. Modern IT architectures are designed and built to scale and be resilient. Systems are now usually built to handle failover and auto-scale up and down to handle varying demand and workloads with very different properties and needs.

High availability and flawless performance of business applications are vital to maintaining a company’s online reputation and keeping its customers satisfied. If a business-critical application crashes, frustrated users may abandon the service, leading to a loss in brand value and revenue. Internal business application performance issues can also cause a drop in employee productivity. To prevent these performance issues, enterprises turn to application performance monitoring solutions.

In a previous blog post, we built a small Python application that queries Elasticsearch using a mix of vector search and BM25 to help find the most relevant results in a proprietary data set. The top hit is then passed to OpenAI, which answers the question for us. In this blog, we will instrument a Python application that uses OpenAI and analyze its performance, as well as the cost to run the application.