Elasticsearch and MongoDb are the two most popular distributed datastores used to manage NoSQL data. Both of these technologies are highly scalable and have document-oriented design at the core. There are differences between the two technologies, however, and it’s important to understand these differences in order to choose the right one for your use case. This blog post will examine the differences between these two technologies in a number of critical areas.
Shifting Left is a new IT content series for people to who want to learn faster, build smarter, and innovate more. Here's what you can expect.
Alerts are an essential part of performance monitoring. Alerts and notifications need to be sent out as soon as an issue is identified, allowing you to know about any problems before your customers do. In this week’s Tip Tuesday, we look at building an effective alert strategy and how to utilize Catchpoint Alerts so that you can quickly and effectively leverage the information provided to take carefully targeted action and improve your MTTR. Building an effective alert strategy is important.
When we started the development of Icinga 2 we had a clear picture. We wanted a great monitoring solution for small and large environments. Back then, we imagined Icinga 2 to be a scalable monitoring tool with a dynamic configuration, enriched with a slight and fast web interface. In fact, there were some more details to that. But let’s keep it short. We worked hard to achieve our goals.
With over 75 million daily active users, it’s safe to say Microsoft Teams is essential to many global businesses. On top of that, Microsoft CEO Satya Nadella recently shared that Microsoft saw 200 million meeting participants in a single day this month. While Microsoft Teams’ explosive growth can be tied to recent spikes in remote work, many enterprises have relied on Teams to connect people across the globe for quite some time.
Everyone at Splunk is very proud of the amazing things that our customers and partners do with their data. It is always extra special when one of those organisations is really doing good and looking after us all in our daily lives. I’m delighted to share one of those stories from the Derbyshire Fire & Rescue Service (DFRS) who is using Splunk as its data-driven SIEM.
One of the great things about developing for Splunk Security Essentials is that most of the features and capabilities are requested from customers and the security community. In this latest release (3.1), we added a feature that has been requested frequently: the ability to filter the ATT&CK Matrix for Cloud and SaaS Techniques. The MITRE ATT&CK Framework consists of multiple matrices such as Enterprise, Mobile, and ICS.
We're excited to announce that the Splunk Machine Learning Toolkit (MLTK) version 5.2 is available for download today on Splunkbase! Earlier this month, I discussed how the release of version 5.2 will make machine learning more accessible to more users. Splunk’s MLTK lets our customers apply machine learning to the data they're already capturing in Splunk, develop models, and operationalize these algorithms to glean new insights and make more informed decisions.
NiCE is introducing a new line of monitoring solutions for Microsoft Azure. The kick-off for the new Azure monitoring solutions will be the NiCE Active 365 Monitor for Azure, a brilliant monitoring set for Microsoft Teams, SharePoint, OneDrive and Office Platform hosted on Microsoft Azure Monitor. Get a sneak preview on how the new NiCE Active 365 Monitor will boost your efficiency in Azure performance and availability monitoring.
