Operations | Monitoring | ITSM | DevOps | Cloud

A help desk is a group, department, or external service that users contact for assistance through various channels.

Observability tools have traditionally focused on capturing and analyzing log data to improve application performance monitoring and security. Data observability turns the focus back on the data to improve data quality, tune data infrastructure and identify problems in data engineering pipelines and processes. “Data analysts and business users are the primary consumers of this data,” said Steven Zhang, director of engineering at Hippo Insurance.

Welcome back! In the previous blog, we discussed with our panelists Carlos Casanova, Forrester principal analyst, and Gowrisankar Chinnayan, who heads product management at ManageEngine, why organizations should adopt AIOps, and the challenges they face. Let’s start by acknowledging the increasing interest in AI. More enterprises are adopting AI-based solutions as they discover how AI can help manage IT operations.

When it comes to creating new Pods from a ReplicationController or ReplicaSet, ServiceAccounts for namespaces, or even new EndPoints for a Service, kube-controller-manager is the one responsible for carrying out these tasks. Monitoring the Kubernetes controller manager is fundamental to ensure the proper operation of your Kubernetes cluster. If you are in your cloud-native journey, running your workloads on top of Kubernetes, don’t miss the kube-controller-manager observability.

Read on to find out about DevRelCon Prague and how Developer Relations done right can help your company, especially during the downturn.

Repatriation in cloud computing refers to moving workloads from the public cloud to on-premise infrastructure. Sarah Wang and Martin Casado from Andreessen Horowitz have written one of the most popular articles about repatriation: they explain the motivation with the significant cost savings possible. For software-based businesses, public cloud spend can rise to 50% of the cost of revenue (COR). Reducing these costs has the potential for significant margin increases.

As an observability provider, we are always confronted with our clients’ goal for faster resolution of problems and better overall performance of their systems. By working on large-scale projects at Logz.io, I see the same main challenge coming up for all: extracting valuable insights from huge volumes of data generated by modern systems and applications.

A good website monitoring tool provides plenty of features and is easy to use. But what happens when you find out the tool you were so excited about doesn’t allow you to send information to your existing status dashboard? Now you have to manage two separate tools and even duplicate work. This is not ideal. Integration capabilities of a website monitoring tool make your life easier by seamlessly merging with external tools and dashboards of your business.

Content Delivery Networks (CDNs) are becoming the norm for many web-based applications, but too often the benefits of CDNs go unnoticed. If you're looking to increase speed and reduce bandwidth, a CDN can be your solution. This comprehensive guide will provide you with all the information you need to get started using a CDN, including when it makes sense to use one and how they compare to other options.

In this blog post I will introduce you to filtering, based on deep custom variables in Icinga DB Web. In Icinga Web 2 monitoring module, it is not possible to filter deep custom variables. Example of deep custom variables involving dictionaries and arrays: This is because in the database (IDO) the suitable structure for the custom variables is not available. The dictionaries and arrays in the custom variables are saved in json format as shown below.