The below screen shots were provided by a large non-profit healthcare organization that includes 4 acute care hospitals, over 20 clinics and 5,000 Citrix users. The Healthcare IT team received reports from clinicians about slow logon times. This document describes how the Citrix engineer used Goliath Performance Monitor to pinpoint and troubleshoot the “Citrix is Slow” complaint and implement a fix action that permanently resolved the issue while reducing logon times by more than 80%.

Spark is known as a fast general-purpose cluster-computing framework for processing big data. In this post, we’re going to cover how Spark works under the hood and the things you need to know to be able to effectively perform distributing machine learning using PySpark. The post assumes basic familiarity with Python and the concepts of machine learning like regression, gradient descent, etc.

MITRE ATT&CK is a comprehensive knowledge base and complex framework of over 200 techniques that adversaries may use over the course of an attack. While MITRE’s full ATT&CK framework is publicly available, it can be characterized into 3 key elements.

At LogicMonitor, we talk to customers and prospects constantly. This enables us to observe trends in requests for new features and functionality. There are two major topics that prospects and customers have been raising recently.

In our previous blog post, we discussed how intelligent root-cause analysis and remediation capabilities provide faster mean time to resolution using readily accessible contextual data collected from different sources. This was reinforced by The Forrester Wave™: Intelligent Application and Service Monitoring, Q2 2019, as they acknowledged the importance of having robust tools for measuring digital customer experience (CX).

In the last post, Samuell (from the og-aws Slack group) figured out his negative TTL problems in Cloudfront. During that session, we actually solved two different problems. This post is to finish off that conversation and address the other problem, which was how to use the default error page in Cloudfront.

So you want to A/B test your web app. The idea is simple, but the details can get messy, and you don’t want to re-invent the wheel. Services like Optimizely are pretty good, but they can be expensive and full of features you don’t need immediately. In this post, we’ll share how Sentry wrote an experimentation system with minimal work.

Welcome to the second edition of Serverless from the Trenches, our series of bite-sized blog posts aimed at developers and DevOps working in serverless. Each article will focus on a different technique or tool to solve a real-world problem and – hopefully – help make your work in serverless more productive. This week we look at how to add Cognito to your integration tests flow, making for true black box testing.

One of the most common questions we get at Honeycomb is about how to control costs while still achieving the level of observability needed to debug, troubleshoot, and understand what is happening in production. Historically, the answer from most vendors has been to aggregate your data–to offer you calculated medians, means, and averages rather than the deep context you gain from having access to the actual events coming from your production environment.

I joined BigPanda a year ago yesterday – and I can truly say it’s been one of the most intense and exciting years, both personally and professionally. A roller-coaster ride of PG activities, POVs and nourishing partnerships with our prospects and customers. And looking back at all that I’ve gone through, one of my strongest takeaways is that while our product is amazing and our POVs are rock solid, in the end it’s the people who tip the scales.