Systems | Development | Analytics | API | Testing

Reasons Why Cloud Migrations Fail & Ways to Succeed

Organizations are moving big data from on-premises to the cloud, using best-of-breed technologies like Databricks, Amazon EMR, Azure HDI, and Cloudera, to name a few. However, many cloud migrations fail. Why? And, how can you overcome the barriers and succeed? Join Chris Santiago, Director of Solution Engineering, as he describes the biggest pain points and how you can avoid them, and make your move to the cloud a success.

Report: The 5 main benefits you can expect from migrating your app to cloud CI

Our research finds that leaving Jenkins behind results in a higher return on investment, thanks to predictability of resource requirements and freed-up capacity. Read our new report focusing on the business impact of switching to cloud-based CI.

Future of Data Meetup: Exploring Data and Creating Interactive Dashboards in the Cloud

In this meetup, we’re going to once again put ourselves in the shoes of an electric car manufacturer that is deploying a recently developed electric motor out into their new cars. We’re going to show how to explore some data that has been previously collected through various different sources and stored into Apache Hive within a data warehouse, with the goal of tracking down a specific set of potentially defective parts. We’ll then take the results of this data exploration and create an interactive dashboard that presents our results in a visually appealing way using a BI tool that’s integrated right into the same data warehouse.

iOS 14.5 and Countly: a Match Made in the Clouds

According to Statcounter, Apple’s iOS penetration in the global mobile scene is around 27%, which is more than considerable. However, this penetration is at almost 50% in markets such as Europe or North America which coincidentally, are those at the forefront of enacting strict data privacy policies. So when Apple announced new user data privacy regulations for app developers as part of its iOS 14.5 release, it was not too shocking.

Mobile App Development and Testing Done Right with TestFairy - SauceCon 2021 Demo

Mobile testing is complex. You need to test your apps across multiple devices in different environments, and account for the varied conditions experienced by real users in the field. This presents a big challenge for the mobile development and QA teams. Adding to that, being remote, by definition, makes it hard for developers to understand what happened on a mobile device before an app crashed or when things didn’t work as expected. Further, the increasingly quality-sensitive users make it imperative for the modern mobile development and testing teams to deliver a flawless mobile experience with every release.

The Clear SHOW - S02E03 - Your Code == Feature Store

Ariel and T.Guerre discussing the reasoning behind features stores. Should you get one for your production pipeline? First time hearing about us? Go to - clear.ml! ClearML: One open-source suite of tools that automates preparing, executing, and analyzing machine learning experiments. Bring enterprise-grade data science tools to any ML project.

Dependable realtime banking with Kafka and Ably

Interest in online banking is skyrocketing. In this context, more and more banking providers are building digital products (especially mobile offerings) and improving their core capabilities to meet user expectations of the instantaneous, always-on, realtime world. In this blog post, we will look at Kafka’s characteristics and explore why it’s such a popular choice for architecting event-driven realtime banking ecosystems.

AI/ML without DataOps is just a pipe dream!

Let’s start with a real-world example from one of my past machine learning (ML) projects: We were building a customer churn model. “We urgently need an additional feature related to sentiment analysis of the customer support calls.” Creating the data pipeline to extract this dataset took about 4 months! Preparing, building, and scaling the Spark MLlib code took about 1.5-2 months!

Taking open-source to the next level at Bitrise - Step by step

One of the reasons I joined Bitrise was the awesome community and the fact that most of the codebase here is actually open-sourced. If the Step Library is the brain of each and every build running on Bitrise, the open-source community must be the heart of it, playing a key role in the success of our product. That's why we have some plans to do more amazing things.