Operations | Monitoring | ITSM | DevOps | Cloud

The manufacturing industry is at a crossroads. With automation and emerging technologies like AI, organizations are eager to make operational and production processes more efficient. However, for many manufacturers, the rapid pace of digitizing legacy infrastructure and systems has also exposed many unanticipated hurdles, with one of the biggest being the convergence between IT and operational technology (OT).

MSPs (Managed Service Providers) have a lot of responsibility on their shoulders. They need to look after the IT infrastructures or networks of their customers to ensure that they’re always up and running. But, what happens when the MSP network itself isn’t performing like it should? Like a business organization, an MSP also faces repercussions due to network downtime. Even a minute of downtime can prevent an MSP from offering the necessary services to its clients.

OpenTelemetry is an open-source observability project that provides a set of APIs, SDKs, and tooling for collecting, generating, and exporting telemetry data. It provides instrumentation libraries in all major programming languages. In this article, we will demonstrate the automatic and manual instrumentation of Python applications. In this tutorial, we cover: If you want to jump straight into implementation, start with this prerequisites section.

Imagine a scenario where your developers spend less time waiting for resources and approvals, and more time focusing on the core aspects of building exceptional software. This vision becomes reality with the implementation of an internal developer platform (IDP), a revolutionary tool that acts as a catalyst for innovation within your organization.

This blog post by Grafana Labs Senior Software Engineer Milan Plžík was originally published on the Kubernetes.io blog on Nov. 16, 2023. There’s been quite a lot of posts suggesting that not using Kubernetes resource limits might be a fairly useful thing (for example, For the Love of God, Stop Using CPU Limits on Kubernetes or Kubernetes: Make your services faster by removing CPU limits ).

As 2023 draws to a close, we’re celebrating a full year since the release of SquaredUp Cloud – our revolutionary observability portal for product, engineering, and IT teams. In the last six months, we’ve packed in a ton of product improvements, including new visualizations, even more out-of-the-box dashboards, and a fast growing suite of pre-built plugins.

In the dynamic world of IT, traditional network monitoring approaches are no longer sufficient to manage the complexities of today’s networks—be they wired or wireless. To stay ahead of network events, IT administrators must shift from being reactive to adopting a proactive stance. This transition involves a comprehensive approach to network monitoring that includes forecasting future network requirements with the help of machine learning (ML) technology.

Exoprise supports monitoring from inside the firewall and outside the firewall. Every day, we have prospects spin up Synthetic Transaction Monitoring (STM) as part of their free trial to test tenant access and performance from one of the Exoprise public points of presence, which we refer to as public sites.

Javascript has been enabling browsers for years, and for better or for worse, the internet is made of JS. NodeJS brought it to the server side. TypeScript has wrapped familiar object-oriented, statically-typed syntax around it. Anywhere you look, you’ll find Javascript: on the client, server, mobile, and embedded systems.

There is more data available to us than ever. Storing this data is important — but deciding on the right type of data storage solution is not so clear. This article explores two primary types of big data storage: data lakes and data warehouses. We’ll examine the benefits of each, then discuss the key differences between a data lake and a data warehouse, so you can decide on the best approach for your business.