Operations | Monitoring | ITSM | DevOps | Cloud

An Expert Guide On GCP Cost Monitoring

Research firm, IDC, published a study in early February 2024 predicting that Google Cloud Platform (GCP) customers break even after just 10 months. Moreover, the study, The Business Value of Google Cloud IaaS, reported that after migrating to GCP, the participants were on track to achieve a 318% ROI in five years. Here’s the thing. Achieving these milestones requires a robust GCP cost monitoring and optimization plan.

Crossing the machine learning pilot to product chasm through MLOps

Numerous companies keep launching AI/ML features, specifically “ChatGPT for XYZ” type productization. Given the buzz around Large Language Models (LLMs), consumers and executives alike are growing to assume that building AI/ML-based products and features is easy. LLMs can appear to be magical as users experiment with them.

The Debrief: Building a strong culture of engineering #incidentmanagement #softwareengineer

Whether you’re a seasoned company with 10+ years of operations, or a startup that’s just getting off the ground, making sure you have a good culture of engineering is really important. Not only will this have a significant impact on the folks on your team, it’ll make a big difference with hiring. When everyone knows that your company is the place to be when it comes to culture, attracting really good talent becomes that much easier.

The Debrief: On-call was just the beginning-reflecting on Q1 2024 #incidentmanagement

Q1 2024 is officially behind us. So we figured that it was a great time for a bit of reflection on the exciting start to the year. In this episode, we sit down with our founders, Stephen, Chris, and Pete, to get a bit of perspective on how the last three months played out. We chat about On-call, our AI launch, and the hundreds of other features, bug fixes, and bits of polish and delight that we've shipped over the last 12 weeks.

Time Series Databases (TSDBs) Explained

Time series data is becoming more prevalent across many industries. Indeed, it is no longer limited to financial data. As the need to handle time-stamped data increases, the demand for specialized databases to handle this type of data has also grown. The solution: Time series databases. In this introduction guide, we'll explain all the basics you need to know about time series databases, including what they are, how they work and are applied, and some of their benefits.