Operations | Monitoring | ITSM | DevOps | Cloud

Nothing is more important than a healthy, functioning website. It is essential to monitor your website to make sure it remains functioning, fast, and available to your customers. For example, imagine your website goes down and you aren’t aware of it for another hour. How much business could you lose in that time? Or worse, what long-term damage could it do to your brand reputation?

A common mistake IT organizations make, is having a well-designed Public Key Infrastructure (PKI), but at the same time having client devices, such as monitoring agents for your Citrix NetScalers, which accept to set up any encrypted connection, to any device, no matter what certificate they are presenting. In this case, you basically allow connections to be made to devices you do not know whether they can be trusted. This makes you vulnerable for 'spoofing'.

To get the best performance out of your Kubernetes cluster, SREs and software engineers must have enough knowledge and instruments to find misconfiguration and bottlenecks. At the same time, thanks to Kubernetes’ ever-growing popularity, there is a global shortage of expertise on the platform.

Amazon Elastic Container Service (ECS) is a fully managed container orchestration service that enables users to easily run, manage and scale containers on AWS. With ECS, you can deploy containers either on a cluster of Amazon EC2 instances or on AWS Fargate, a serverless computing engine for containers. In this article, we’ll look at how these two launch types compare and explore how to start using them.

As mentioned in our documentation, Cribl Stream is built on a shared-nothing architecture. Each Worker Node and its processes operate separately and independently. This means that the state is not shared across processes or nodes.This means that if we have a large data set we need to access across all worker processes, we have to get creative. There are two main ways of doing this: In this blog, we’ll walk through how to deploy a Stream leader, Stream worker, and Redis containers via Docker.

This need for AIOps was simmering conveniently and gradually reaching its threshold when the pandemic suddenly hit the world, pushing organizations into remote work. The sudden, global-scale change raised challenges for IT operations teams to monitor and detect incidents in a distributed environment and maintain cybersecurity and compliance. While the pandemic pushed some organizations into the reality of remote work, others were already on their way to digital transformation.

A lot is expected of automation in IT environments in the next few years. By 2024 Gartner predicts IT automation will drive a 20% reduction in unplanned downtime and lower operational costs by 30%. At the same time, the efficiencies generated by IT automation and analytics will allow organizations to refocus 30% of their IT operations management resources from support to “continuous engineering.”