Today (September 17th, 2020) heralds the release of Ivanti User Workspace Manager 2020.2 – our most significant in recent years.
The DevOps India Summit brings together some of the best thought leaders in the DevOps space to discuss and debate everything DevOps related. This year, the event was a virtual one, held in a virtual venue with a virtual lobby, exhibit hall, booths, and a virtual auditorium for speakers presenting online.
With the release of Kublr 1.19, we are continuing the tradition of expanding customization capabilities available to end users and Kubernetes operators and administrators. Kublr 1.19 includes numerous improvements to the customization of Kubernetes clusters deployed on AWS and other clouds. Key among these is support for mixed instance policies including spot and on-demand instances and multiple instance types.
In our previous two blogs, we provided an overview of the architecture and design of the Elasticsearch Go client and explored how to configure and customize the client. In doing so, we pointed to a number of examples available in the GitHub repository. The goal of these examples is to provide executable "scripts" for common operations, so it's a good idea to look there whenever you're trying to solve a specific problem with the client.
Evaluating a new, unknown technology is a complicated task. Although you can articulate the goals you’re trying to achieve, you’re probably faced with multiple solutions that approach the problem in different ways and highlight varying features. To cut through the clutter, you need to figure out what questions to ask in order to evaluate which technology has the optimal capabilities to get the job done in your unique setting.
In the first part of the blog series, we discussed how correlation analysis can be leveraged to reduce time to detection (TTD) and time to remediation (TTR) by guiding mitigation efforts early. Further, correlation analysis helps to reduce alert fatigue by filtering out irrelevant anomalies and grouping multiple anomalies stemming from a single incident into one alert. In this part, we throw light on the applicability of correlation analysis in the realm of eCommerce, specifically, promotions.
To get some serious work done, we usually need to prepare for it. “Baby steps first,” they say. In our niche, these “baby steps” would be countless small jobs that need to be done before we can start with our main project. Proper preparation(try saying this 5 times fast) is the key to success, but after we’ve achieved our primary goal, there will always be something to do to keep it steady and flowing.