“Today, maintaining a high performance and continuous availability of cloud production environments are some of the most significant pain points for technology organizations. Production availability is commonly measured and managed by evaluating some of the following dimension: Does the product or service work fast enough? Does its performance meet the expected metrics? Is it able to deliver the optimal customer experience?

Raygun’s Launch Notes are your regular round-up of all the improvements we made to Raygun last month — from major features to performance updates. With the release of our new first paint and first contentful paint metrics for RUM, you’ll be able to get a more granular understanding of how users experience your application. We’ve already started the beta, and we will be releasing the feature in the next few weeks. Watch this space!

ClickHouse is an open source database management system, and was originally developed as a backend for Yandex’s Metrica analytics platform. ClickHouse is column oriented, meaning that it can quickly scan through ranges of values in a single column without touching irrelevant values in other columns. This makes ClickHouse well suited for online analytical processing (OLAP).

NiCE IT Management Solutions is proud to serve global key-players in advanced Microsoft Office 365 performance and health monitoring. Read the latest customer reference on how the NiCE Active 365 Management Pack is enabling a international geographics information system company to stay on top of Microsoft Office 365 monitoring operations.

Performance and security are the lifeblood of an e-commerce website. The moment pages start to slow down, or your customers fear their data may be at risk, is the moment your business starts to fail. This post is the third in a series exploring the key tools every ecommerce site needs running 24/7.

We often hear from our customers that to adopt a container and Kubernetes security tool in any mid sized or large organization, separation of duties and least privilege access via RBAC is a must. Admin roles cannot be granted unnecessarily to all teams. If users or groups are routinely granted these elevated privileges, account compromises or mistakes can result in security and compliance violations.

Whether you’re new to programming, considering going to school to be a software developer, or an industry vet looking to modernize your toolbelt, understanding Git can be vitally important. Git is a version control system that was first developed back in 2005. It’s completely free to use and its unique branching model makes it one of the most popular systems out there.

Jupyter Notebooks are wonderful because they provide a way to share code, explanations, and visualizations in the same place. Notebooks add narrative to computation. The cells compartmentalize steps and reduce the fear or hesitation associated with editing code. In this way, notebooks act as an invitation for experimentation. Today, I want to extend that invitation and apply it to InfluxDB. In this post, we’ll learn how to query our system stats data from InfluxDB v2.0 using Flux.

Remember when you wanted great alerts, so you read our past two blogs about cyclical statistical forecasts and anomalies? Hopefully, the techniques in those blogs gave you some great results. Here we’re going to show you another way of finding anomalies in your data using a slightly different technique.

Over the past 24 months or so, I have been studying investing/trading while also working to become more proficient with Splunk. I like to combine activities and gain momentum, so I decided stock market and economic data would be the perfect way to dig deeper into Splunk and hopefully improve my investing/trading. In the beginning, I only looked at it as a way to learn more about Splunk while using data that was interesting to me.