This week we’re going to take the blog in a slightly different direction. Our other posts have covered some of the creative and interesting ways that our Engineers have addressed challenges or developed new techniques to innovate in their work. This time around, we’re going to look at how those Engineers got here by examining […]
Interviewing Engineers at SADA Read More »
For Cloud Environments, symmetric hashing is incredibly valuable when dealing with stateful network appliances or applications. Typically, network appliances or applications deployed in GCP provide advanced Layer 7 functionality, such as protocol inspection or HTTPS parsing for malicious payloads. These devices often need to participate in both the request and response portions of the TCP
The importance of symmetric hashing for load balancing Read More »
Organizations of nearly all sizes likely have an Active Directory domain of some sort. These range from a small number of Windows servers or desktops to the largest enterprises with thousands of servers. They might be simple configurations with just a few domain controllers, or incredibly complex configurations with multiple sites, clusters, and different types
Using GCP Managed Active Directory to simplify domain authentication Read More »
As part of a migration from Amazon Web Services (AWS) to Google Cloud Platform (GCP), our client required compute-resilience with persistent storage. While both cloud services offer robust compute recovery processes, we found GCP’s easier to configure than AWS. In this blog post, we will review the original AWS configuration, GCP’s alternative configuration, how we
AWS to GCP migration: Automated system outage recovery using GCP Managed Instance Groups Read More »
The drive for location analytics has increased the need for geospatial analytics at scale. Things such as connected devices, tracking digital twins, and sustainability initiatives have significantly increased the volume and velocity of captured geolocation data, stressing the geospatial processing systems and the related storage subsystems. There are many ways to analyze large geospatial data
Overcoming large-scale geospatial analysis using Google BigQuery Read More »