Operations | Monitoring | ITSM | DevOps | Cloud

With our recent product release, Nexthink brings the power of personalized, right-sized IT to customers, allowing them to deliver the right services, at the right cost to every workforce role.

How is your website showing your customers that you care? You are selling a great product and making some good money, but what are you doing in return to assure your customers that all their payment and private data is protected? If you haven't thought about that before, now is the time because a significant data breach could mean the end of your company.

Anyone who has ever had to administer IBM Spectrum Protect™ (formerly Tivoli Storage Manager or TSM) knows that eventually, you’ll end up parsing the activity log for advanced problem determination or running advanced queries on the summary table for extended reporting. This is a huge pain! With the latest enhancements to Galileo for Spectrum Protect, you need not go elsewhere for answers.

Several factors in recent years have increased endpoint vulnerability — from organizations’ need to make access to data more fluid, to threats targeting mobile device access and networks, to the growing work-from-home and work-on-the-go trends. Endpoints connected to a network — including remote devices, IoT devices, workstations, tablets, laptops and servers — create attack paths for security threats.

Twitter as a social media channel has obviously taken the world by storm. Everything that happens and is trending around the globe takes place or is reported on Twitter. Additionally, most tech and cloud providers offer outage and support feeds through Twitter as a way of communicating problems and notifying customers. Example technology companies include Microsoft for Microsoft 365 Status, Azure and their products. Also Internet Service Providers like Comcast, CenturyLink and more.

Monitoring for your Node.js apps can be hard. The tricky part is understanding what you need to monitor, instrumenting your code, and then making sense of all the data that’s been emitted. (That’s almost every part you might say 😅 ). At AppSignal, we dogfood our product and understand the pain users feel ourselves. The key points we focus on are the ease of use, flexibility, and developer experience.

Due to rapid cloud adoption and with never-ending user requirements, the Azure architecture might become complex and you might eventually lose sight of the overall cloud estate and how it relates to each other. Since the Azure portal was designed in a technology vertical silo and it has near zero application visibility, it is not possible to monitor them as a business application in the Azure portal.

As a concept, observability has been a relatively recent entrant into the world of information technology and cloud technology. The idea originated initially from controls system engineering. Observability refers to the concept of inferring the internal status of the system based on the outputs derived from the same. This is the conventional definition of observability.

LogQL, the Loki query language, is heavily inspired by Prometheus PromQL. However, when it comes to filtering logs and finding the needle in the haystack, the query language is very specific to Loki. In this article we’ll give you all the tips to create fast filter queries that can filter terabytes of data in seconds. In Loki there are three types of filters that you can use.