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Beat Engineering Blog
Follow us for a behind the scenes tour in the ride-hailing app world. Take deep dives into our coding, data mining and more practices. Enjoy the ride!
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Engineering @ Beat: A Sneak Peek
Engineering @ Beat: A Sneak Peek
My onboarding journey into Beat’s engineering ecosystem.
nikhil goel
Jun 23, 2022
Data Build Tool (dbt): The Beat story
Data Build Tool (dbt): The Beat story
Leveraging dbt as a modern data stack tool at Beat.
Rahul Jain
Mar 29, 2022
Your ride will start soon…or will it?
Your ride will start soon…or will it?
Beat offers an amazing transportation experience 24/7. All you need to do is to hail a Beat at the tap of a button and get picked-up in…
Ioanna Marasioti
Mar 8, 2022
Computing the driver acceptance probability or … the DRAC of Beat
Computing the driver acceptance probability or … the DRAC of Beat
Beat connects millions of passengers with nearby available drivers in real time. Matching is a core part of what makes the Beat app work…
Akis Kontonasios
Feb 16, 2022
Git branching: Best practices for BI and Data Teams
Git branching: Best practices for BI and Data Teams
Evaluating various Git branching practices for Beat’s BI and Analytics Engineering Team
Rahul Jain
Nov 9, 2021
From Python to Go. My journey at Beat.
From Python to Go. My journey at Beat.
My story during an incredibly self-growing journey as a Go engineer.
Kanan Rahimov
Sep 7, 2021
Beat Tesla Lifecycle: A deep look through engineers’ eyes
Beat Tesla Lifecycle: A deep look through engineers’ eyes
Breaking down Beat Tesla’s basic operational steps.
Konstantinos Moraitis
Aug 4, 2021
Sometimes It’s Not Always DNS
Sometimes It’s Not Always DNS
A debugging adventure that was triggered by some innocent DNS resolution errors and became a deep dive into Istio’s multi cluster…
Andreas Strikos
Jul 16, 2021
A curious case of AWS NLB timeouts in Kubernetes
A curious case of AWS NLB timeouts in Kubernetes
A debugging adventure that allowed us to solve the tail latencies our Kubernetes applications were experiencing when talking with our AWS…
Andreas Strikos
Apr 13, 2021
CI/CD4ML or: How we learned to stop worrying and love Machine Learning
CI/CD4ML or: How we learned to stop worrying and love Machine Learning
Enabling organizations to embrace Data Science workflows by adopting an MLOps lifecycle
Ilias Sarantopoulos
Jan 20, 2021
CI/CD for Terragrunt IaC through Atlantis
CI/CD for Terragrunt IaC through Atlantis
How we tweaked our Atlantis to run Terragrunt-based infrastructure-as-code efficiently
Angelos Kaltsikis
Nov 25, 2020
Security Sky-Gazing
Security Sky-Gazing
How we deployed a Security Monitoring and Alerting system @ Beat
John Torakis
Nov 17, 2020
Yet Another Kubernetes DNS Latency Story
Yet Another Kubernetes DNS Latency Story
The importance of DNS in our Kubernetes clusters and how we managed to scale
Andreas Strikos
Oct 15, 2020
Scalable Terraform Architecture
Scalable Terraform Architecture
How to destroy and recreate your whole infrastructure fearlessly
Nestoras
Sep 15, 2020
RDS Scaling at Beat
RDS Scaling at Beat
Giving our on-call Engineers a good night’s sleep
Alexis Polyzos
Sep 8, 2020
Monitoring the Beat microservices: A tale of evolution
Monitoring the Beat microservices: A tale of evolution
Multicluster HA monitoring using Thanos.io
Markos Chandras
Jul 23, 2020
Dns Caching for Kubernetes
Dns Caching for Kubernetes
Or, how we managed to rescue our monolith Kubernetes deployment.
Akis Maziotis
Jul 16, 2020
Preparing before the storm: Migrating our monolith into Kubernetes
Preparing before the storm: Migrating our monolith into Kubernetes
The steps Beat’s infrastructure team took to ensure a safe and reliable transition of a monolith service into the Kubernetes world.
Andreas Strikos
Jul 8, 2020
Code Review: Commit by commit vs Multiple pull requests
Code Review: Commit by commit vs Multiple pull requests
What makes a great code review at Beat
Emmanouil Kounalakis
May 29, 2020
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