In sync with the upcoming release of Splunk’s Machine Learning Toolkit 5.2, we have launched a new release of the Deep Learning Toolkit for Splunk (DLTK) along with a brand new “golden” container image. This includes a few new and exciting algorithm examples which I will cover in part 2 of this blog post series.
In part 1 of this release blog series we introduced the latest version of the Deep Learning Toolkit 3.1 which enables you to connect to Kubernetes and OpenShift. On top of that a brand new “golden image” is available on docker hub to support even more interesting algorithms from the world of machine learning and deep learning! Over the past few months, our customers’ data scientists have asked for various new algorithms and use cases they wanted to tackle with DLTK.
You may already be using Splunk to ingest data and generate alerts and dashboards so you can take quick action on problems, but did you know you can quickly start a VictorOps trial and in three easy steps, have great Splunk alerts escalated to the right teams and people with a mobile app notification, SMS message or a live phone call?
Contact or Call... Center or Centre... Call them what you will, but, wow, we’re calling them and we’re counting on them now more than ever! The dramatic shift to remote everything has flooded Contact Centers with more calls, while also requiring providers to adopt remote, distributed architectures.
For those of you with some gray hair working in the manufacturing business, remember when order intake plunged suddenly by more than 40%? Remember when CFO and Controllers ruled the company, driving painful cost-cutting programs to counter double-digit business losses? It was the time of the Economic and Financial Crisis 2007/08, which forced manufacturing organizations to stare in the abyss.
Digital transformation has now become a reality. It has moved a long way from being an option to a necessity, especially after the outbreak of COVID-19. While every department in an organization is being digitized, businesses reckon digital experience management as a key strategy in optimizing their transformation journey and also in creating a robust business model.
Security configurations are security-specific settings used to secure heterogeneous endpoints such as servers, desktops, laptops, mobile devices, and tablets. As endpoints in your network diversify, securing each endpoint becomes a challenge. One way to ensure effective endpoint security is by automating it, which is where security configurations come into play. Security configurations are utilized to secure and control every facet of your network.
Memory leaks are something every developer has to eventually face. They are common in most languages, even if the language automatically manages memory for you. Memory leaks can result in problems such as application slowdowns, crashes, high latency, and so on. In this blog post, we will look at what memory leaks are and how you can avoid them in your NodeJS application. Though this is more focused on NodeJS, it should generally apply to JavaScript and TypeScript as well.
At the end of October 2017, Microsoft announced the release of Azure Kubernetes Service (AKS), its hosted version of Kubernetes. If you’re new to AKS and curious about how to get a proof of concept (PoC) set up in your environment, read on. In this AKS tutorial, you’re going to learn, step-by-step, how to get an Azure Kubernetes cluster built with AKS.
