Opinions on all things cloud, containers, devops, infrastructure-as-code and software development.
March 06, 2019
February 20, 2019
It is easy to get locked into a specific cloud vendor. Learn how to keep your business free from cloud vendor lock-in.
June 11, 2018
We measured and compared object storage latency of standard and lower tier AWS S3, Google Cloud storage and Azure blob storage in order to unearth performance differences between the storage tiers.
June 05, 2018
For this article we compared the object-store performance of Amazon Web Services (S3), Google Cloud Storage and Microsoft Azure Blobs in locally redundant configurations (without geo-replication). We found very significant performance differences that can have a direct impact on user applications.
May 24, 2018
For this article we compared small 2-vCPU, 8GB-RAM instances of managed MySQL v5.6.x platform database machines from Amazon Web Services, Google Cloud SQL and Microsoft Azure Managed Databases. We unearthed remarkable performance-to-cost ratio variations among these providers for this configuration.
May 22, 2018
In this post we describe the design of a test scenario for running Jmeter load tests against a MySQL database. We also show an example of how new data records can be generated from pre-existing records in the database in Jmeter, thereby giving you a larger test database to work with.
May 15, 2018
Azure offers greater geographical reach (more regions) than other public cloud providers; enterprises looking to build highly-available fail over IT architectures, especially outside the western world, will benefit from the low latencies between their relatively nearby regions.
May 07, 2018
Public cloud providers have built data-centers - regions - around the world. In this post we’ll focus on the ping round-trip-time (RTT) latency between VMs spawned in these data centers.
April 20, 2018
TL;DR - public cloud VM packaging is not indicative of performance, don’t believe what the VM T-Shirt size says, especially while comparing similarly packaged VMs from other cloud providers. Single vCPU VMs spun up on multiple clouds showed remarkable performance differences. The performance-to-cost ratio differences between the VMs were even more profound.