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.

As an SRE and DevOps evangelist, I talk to many customers and prospects, most of whom run load and stress testing as part of their application delivery chain, often using JMeter for load testing. Many of them have a misconception: “I have JMeter and I am all set from a performance/ scalability perspective. I don’t need any other tools”.

Choosing an excellent application performance monitoring tool is a challenging task. Nowadays, there are dozens of instruments, and it can be problematic to pick the right one. However, when looking into every given “top ten list”, New Relic vs. Datadog will always be there. At this point, instead of focusing on dozens of log management tools, let’s focus on some key ones. Comparing New Relic vs. Datadog offers a distinct perspective on how infrastructure monitoring should look.

Several years ago, there was little choice among performance monitoring tools. You had to deal with what the market offers. Datadog is one of the oldest solutions available and, thus, well-known. Yet, it is not without flaws, which might make people look for alternative solutions since the market is booming and new tools emerge regularly.

DevOps teams and security engineers use monitoring tools like Prometheus and Datadog to search for bugs and find any issues that might put an app or the entire IT infrastructure at risk. Better monitoring capabilities and aspects like event monitoring mean users can log data more effectively and engage in data collection leading to data visualization. These actions lead to infrastructure metrics, which allow experts to conduct timely analysis and prevent an app from crashing.

Since Microsoft announced the RDP Shortpath feature was going to be enabled by default on September 6, 2022 for all Azure Virtual Desktop (AVD) customers, monitoring and troubleshooting this feature has become important. RDP Shortpath feature improves the AVD connectivity by establishing a direct UDP protocol between the AVD session hosts and the Remote Desktop Client by reducing the dependency on gateways.

A collection of 5 top tips for JBoss performance tuning to ensure optimal application performance and resilience. Learn how to monitor and troubleshoot JBoss systems to eliminate bottlenecks, reduce costs and minimize user issues.

In recent months the term “Supercloud” has become increasingly used, particularly in the context of being a successor or qualifier to “multi-cloud”. There isn’t any definitive formal definition, it is essentially yet another buzzword and vendors and analysts are pilling in with their own take and definition to align to their own agendas and product capabilities.

I’m delighted to share that version 7.2 of eG Enterprise has introduced support for performance monitoring of Snowflake databases. eG Enterprise’s integration with Snowflake enables complete visibility into the Snowflake architecture and operations, alongside the performance and costs of any dependent cloud hosted infrastructures such as AWS or Azure.

Data can be overwhelming. The purpose of this blog is help you sift through data to find exactly what you need to use it in a meaningful way when solving Citrix problems. After working in performance benchmarking and analysis, one thing I noticed is only the really really big companies have full-time staff dedicated to doing analysis on a daily basis. Which means, it’s up to the generalists, or Jacks and Jills-of-all-trades, to review data and make sense of it. How does one do this?

Multi-tenancy is an architecture in which a single instance of a software application and its underlying resources serves multiple customers, each customer is called a tenant. Multi-tenant architectures are the foundation of most SaaS offerings. Monitoring and troubleshooting multi-tenancy architectures can be challenging.A tenant can be an individual user, but more commonly, it is a group of users like a customer organization.

An IT incident is an unplanned disruption that negatively impacts an IT service. As the importance of IT to the business has increased, the impact of IT incidents has become greater. IT incidents can result in revenue loss, loss of employee productivity, SLA financial penalties, government fines, and more. An effective IT incident management strategy is now essential in every organization. For a business like Amazon whose entire business relies on IT, a single second of slowness can cost over $15,000.