Build | Be Different

Thought leading insights and perspective from Isima and our customers.
Customer data is imported into bi(OS) through various mechanisms, some requiring us to expose a public HTTP endpoint. These endpoints are protected against bots. We also record these attack vectors within bi(OS). We built this multi-cloud bot detection capability in 4 weeks using this data. Further, this dynamic list of bots is also made available to all our customers.

Introduction While the category leaders were busy drowning the market with deafening marketecture(s), our engineers landed on the multi-cloud ‘moon’ of Data and Analytics.  TL, DR – Ingest on AWS, Analyze on GCP and Visualize on Azure – in real-time, without migrating an electron.  Can your favorite multi-cloud modern data stack do that?  That’s the […]

Introduction Last week we wrote about how bi(OS) was hit with the load equivalent to two black Fridays on Thursday by tier-1 global retailers during Black Friday. While we are proud of our achievement, we don’t take our customers’ reliability for granted. Although, we do take a significantly different approach. Read on to learn why […]

Introduction Since bi(OS) serves unicorns and tier-1 retailers across three continents, we have a unique vantage point in experiencing Black Friday (and Cyber Monday), especially as it stresses Cloud Data Platforms.  This Black Friday saw bi(OS) handle 3x more peak load across all tenants, with a near-constant SLA.  A day before, a single data stream […]

Introduction Since the birth of SQL in the mid 70’s, there has been a wall of separation between OLTP and OLAP use cases. One of the defining characteristics of this separation is the stringent need for speed and QoS (quality of service) by OLTP applications. Even today, Data Warehouses and Data Lakes pay lip service […]

The TL;DR summary Over a 12+ hour run, bi(OS)’s real-time OLAP engine delivered a p99 latency of 1.46ms for inserts, 2.94ms for selects at a peak throughput of 21.5K rows/sec with an 80:20 write: read split for 1KB rows when the system is 70%+ utilized. Writes followed ⅔ QUORUM durability across three availability zones, reads […]

My blog last week talked about Schema lost in transit. Let me tell you a real story about a customer. We uploaded data from their repository into bi(OS) and the image above is a screenshot of what we saw on bi(OS) after an hour. We were not surprised as we have seen this story at […]