Operations | Monitoring | ITSM | DevOps | Cloud

Didn’t quite get to that task of capacity planning in December? Well, not to worry, this month Kentik has overhauled our Capacity Planning workflow and is introducing a slew of new features to make capacity planning easier and more intuitive than ever before. Those who are familiar with Kentik will know that one of our core offerings is the ability to monitor and plan actual network and interface utilization.

In the last few years, many organizations I worked with have significantly increased their cloud footprint. I’ve also seen a large percentage of newly launched companies go with cloud services almost exclusively, limiting their on-premises infrastructure to what cannot be done in the cloud — things like WiFi access points in offices or point of sale (POS) hardware for physical stores.

Thomas Stringer has a couple of great blog posts on how to understand your Azure monitoring costs and also on how to reduce your costs, see Azure Monitor Log Analytics too Expensive? Part 2 – Save Some Money | Thomas Stringer (trstringer.com). In the past I’ve blogged on How to calculate the Azure Monitor and Log Analytics costs associated with AVD (not an easy task!).

We are proud of our many customers and users around the globe that trust Icinga for critical infrastructure monitoring. That´s why we´re now showcasing some of these enterprises with their Success stories. It´s stories from companies or organizations just like yours, of any size and different kinds of industries. Some of them are our long-standing customers, others have just recently profited from migrating from another solution to Icinga.

Moving large amounts of data to the cloud can be arduous and time-consuming. A cloud migration would take years if engineers manually moved data from assessment through mobilization and migration phases. An effective cloud migration also requires adequate data encryption, fast data transfer speeds, and constant monitoring. Migrating workloads to AWS requires you to monitor costs in real-time as well to avoid overspending.

You need not fear a long-lived streaming workload. A few simple tricks can transform a request that may not ever terminate for hours or days into something you can get regular health and status updates on. We in fact have one of those continuous processing services—Beagle, our Service Level Objective stream processor—which we’ve instrumented in this fashion.

As most people were preparing to celebrate the new year, the UK’s Santander Bank was dealing with a crisis. On Christmas day, roughly 75,000 people who received payments from companies with accounts at Santander Bank received a duplicate payment transaction. The total damage amounted to £130m, and recovery in these situations is a painful process for both the bank and its customers.

Unlike traditional IT Ops, the role of the SRE isn’t simply focused on finding and solving technical problems. The big win for today’s SREs is supporting the organization’s strategic innovation initiatives. With the appropriate observability capabilities, it’s possible to quantify the value that software infrastructure contributes to this innovation effort.