Operations | Monitoring | ITSM | DevOps | Cloud

Being able to easily monitor the health of all your sites and services from multiple global locations is a powerful tool for site reliability. However, no one wants to sit and stare at a status dashboard all day. Naturally, teams want to be alerted when there is an issue. We can do that with alerting in Kibana. And when coupled with Elastic machine learning, alerts can be automatically generated from anomalies that are automatically detected. That’s the power of Elastic Observability.

If you’ve heard of the term “serverless architecture” but you have no idea what it means, don’t feel bad. This buzzword (buzz-phrase?) has been on the rise for the past few years, and it doesn’t look like it’s going to stop. More and more cloud companies are trying to promote serverless architectures for businesses. There are plenty of benefits to using a serverless architecture for your business.

Canonical today announced full enterprise support for Kubernetes 1.19 spanning from public cloud to the edge, covering Charmed Kubernetes, MicroK8s and kubeadm. “As with all releases, Canonical is committed to fast following so that users benefit from the latest features, lifecycle operations and enterprise support in line with the upstream. With Kubernetes 1.19, MicroK8s and Charmed Kubernetes also bring enhanced security and carrier grade features.

We examined best practices for logging in a prior series. However, how can you apply those best practices in real life? Let’s dive into how you could use LogDNA in an opinionated manner to utilize best practices to bring value to your DevOps-focused projects. How can we ensure we follow best practices and keep our logs secure and compliant as noted in the previous series? Let’s pretend we’re setting up centralized log management with LogDNA for a new team and project.

Governments around the world have long understood the advantages of digitising their services. It’s fair to say, however, that most public sector agencies are just beginning their digital journeys. Public agencies face unique challenges compared to the private sector. Notably, they serve citizens rather than customers. This simple difference means greater pressure to deliver digital services within strict budgetary limits while protecting data and complying with regulations.

In this post, we’ll review some common InfluxDB Cloud 2.0 errors for beginners. We’ll discuss probable causes as well as recommended fixes. This blog uses the Telegraf System Configuration and data as an example to illustrate the various errors you may encounter. Having some familiarity with this dataset is useful in understanding the issue and the resolution.

Security teams can’t defend what they can’t see. As organizations move more workloads to the cloud, security teams need added visibility into these new workloads or risk having blind spots that lead to compromise. In the first installment of our "Getting Data In" webinar series, "Modernizing your SOC for the Cloud Age Starts with Security Foundations," we demonstrate how to quickly and easily onboard data into Splunk Cloud.

We’re back with part three of our four-part series on cutting down IT costs during the asset life cycle. In the last blog, we discussed ways to save in the asset deployment stage. In this part, we’ll look at maintenance and support, and examine ways to save during this stage of the asset life cycle. When it comes to IT technicians, time is money. On any given day, an organization can have thousands of assets in play.

As the cloud-native ecosystem continues to evolve, many alternative solutions are popping-up, that challenges the status quo of application deployment methodologies. One of these solutions that is quickly gaining traction is Unikernels, which are executable images that can run natively on a hypervisor without the need for a separate operating system.

It’s only four months ago that I blogged about histograms in Prometheus. Back then, I teased my talk planned for (virtual) KubeCon Europe 2020. On Aug. 20, the talk finally happened. It completed the trilogy of histogram talks also mentioned in my previous blog post. Here is the recommended viewing order.