If your experience as a developer is anything like mine, the best moments are those known as the "flow state.” When distractions drift into the background and all your energy is going in the creative direction of solving the problem at hand. Your brain is directly connected to your users through your code. Months of progress happen in hours. Unfortunately, those moments are rare. But it’s not emails or Slack messages that are the biggest distractions.

Imagine you’ve been working on a new feature for weeks. Finally—after exhaustive QA and testing, and more late coding sessions than you care to count—you release with a feeling of both accomplishment and relief. Only to be woken up at 3am that something’s wrong. Or worse, you get flooded with customer complaints that it’s not working properly. Well, it’s probably a scenario you don’t need to imagine. Every developer has a version of this story to tell.

Error logs are the first port of call for any outage. Great error logs provide context and cause to a mysterious, 3am outage. Engineers often treat error logs as an afterthought. However, with some up front planning, error logs can become incredibly powerful. Let’s get right into it.

As a SCOM admin, you’re probably heavily involved with alert analysis and performance monitoring. You probably also know then, that while SCOM is a great monitoring tool, it leaves a lot to be desired when it comes to reporting on performance monitoring. I’ve got good news for you. SquaredUp sits on top of SCOM and completely changes the game. How? Why? Read on for a comparison and break down of all the reasons you should do it with SquaredUp.

Are your current expensive, traditional or legacy monitoring tool implementations holding you back? It may be time to look into Observability architectures.

The last thing you want to happen is for your server to crash, so understanding alerts and knowing the next step to resolve any issues is key. As one of today’s leading network and server monitoring software, Pandora FMS wants to ensure that when it comes to your servers, you’ll have a smooth landing every time! That’s why below we’ve gathered some of the best practices for dealing with server alerts.

We recently optimized the hell out of our Lighthouse score, and one of our landing pages went from a low 70s score to a cool 96 and above score. Below I describe what started as a quick lunch break peek into the Google Search Console. I recognized that our 'Pingdom alternative' landing page ranks surprisingly well with nearly no investment. BUT the competition was ranking even better. So, why? Common knowledge is that Google-Search is using hundreds of ranking factors.

Managing hundreds or thousands of containers has quickly become the standard for many organizations. With infrastructures growing more complex, we want every user to find value with Elastic (regardless of where or how they operate). We created Elastic Cloud on Kubernetes (ECK) — the official Operator — to simplify setup, upgrades, scaling, and more for running Elasticsearch and Kibana on Kubernetes.

As you probably already know, Step Functions is a serverless Workflow Service provided by Amazon Web Services (AWS). There’s a lot to discuss about this service, and you’ll find plenty of vital information in our AWS Step Functions: The Ultimate Guide as well as in our series of articles that’ll dive deep into various aspects regarding this AWS service.