Operations | Monitoring | ITSM | DevOps | Cloud

Victor Sonck is a Developer Advocate for ClearML, an open source platform for Machine Learning Operations (MLOps). MLOps platforms facilitate the deployment and management of machine learning models in production. As most machine learning engineers can attest, ML model serving in production is hard. But one way to make it easier is to connect your model serving engine with the rest of your MLOps stack, and then use Grafana to monitor model predictions and speed.

Altice Portugal is a wholly owned subsidiary of Altice Group, a multinational cable and telecommunications company. They have a presence across Europe, including in Belgium, France, Luxembourg, Portugal, and Switzerland, as well as in the Dominican Republic, the French West Indies, and Israel. With annual revenues of more than $2.8 billion (2,629 million Euros), Altice Portugal is Portugal’s largest telecom company. Altice offers fixed, mobile, and satellite network services to consumers.

Microsoft Azure is one of the most comprehensive and broadly adopted cloud service providers in the industry, offering over 200 fully featured services from data centers globally. A wide spectrum of organizations across all verticals use Azure – to lower costs, become more agile and innovate faster. Tight integrations with the Microsoft ecosystem and product portfolio make Azure highly attractive to many.

Cybersecurity threats are increasing in volume, complexity and impact. Yet, organisations struggle to counter these growing threats. Cyber attacks often intend to steal, damage, hijack or alter value-generating data. In this article around database security, we use the NIST framework to lay out the common controls that you can implement to secure your databases. Let’s start by discussing the potential impact of unsecured databases.

A common question we get asked is “what client library should I use with InfluxDB 3.0?” This question isn’t as simple as it may seem. It can get confusing when deciding which client library to use while developing applications to write to and query from InfluxDB. There are numerous options to choose from and the answer may differ based on the following criteria: At first, this seems like an easy answer.

What does the Rasmussen model teach us about Site Reliability Engineering?

IT operations, or ITOps, refers to the processes and services administered by an organization's IT staff to its internal or external clients. Every organization that uses computers has a way of meeting the IT needs of their employees or clients, whether or not they call it ITOps. In a typical enterprise environment, however, ITOps is a distinct group within the IT department. The IT operations team plays a critical role in accomplishing business goals.

Anomaly detection is one of the most common problems that Splunk users are interested in solving via machine learning. This is highly intuitive, as one of the main reasons our Splunk customers are ingesting, indexing, and searching their systems’ logs and metrics is to find problems in their systems, either before, during, or after the problem takes place. In particular, one of the types of anomaly detection that our customers are interested in is time series anomaly detection.

It has been a veeeeery long time since we discussed a technical concept from an ingenious allegory. Many people send us emails asking us why, and we have to admit that… it’s true, everything is quite more fun with fantastic allegories. So be it then! At the request of our fans. Let’s talk today about ITSM and Monitoring Support through an invented event from which we can then draw a technical lesson.

We’ve all been surprised by our cloud monitoring bill at one time or another. If you are a BindPlane OP customer ingesting Host Metrics into Google Cloud Monitoring, you may be wondering which metrics are impacting your bill the most. You may have metrics enabled that aren’t crucial to your business, driving unnecessary costs. How do we verify that and remediate?