Systems | Development | Analytics | API | Testing

bugfender

Top 10 iOS Libraries of 2023: Stay Ahead of the Game

Jan 27, 2023 By Aleix Ventayol In Bugfender

This is the most fertile time for app development since the launch of the App Store 15 years ago. Our industry is in the grip of several simultaneous revolutions, each of them bending, flexing and moulding to the others. 5G promises to make our apps 10 times faster; wearable technology lets them wrap themselves around our bodies; artificial intelligence enables them to learn from us and get smarter every day. But this torrent of innovation brings challenges, too.

Read Post
bugfender

How to Identify and Troubleshoot Issues in Your Electron App

Jan 16, 2023 By Tapas Adhikary In Bugfender

As developers, it’s easy to get fixated on the mobile sphere. We’re now spending 4-5 hours a day browsing apps on our phone (that’s over 1,800 hours a year), which means a huge volume of demand is channelling into Android and iOS projects. But desktop apps are booming too.

Read Post
chaossearch

A Simplified Guide to Cloud Data Platform Architecture

Jan 12, 2023 By David Bunting In ChaosSearch
Since the 2006 launch of Amazon Web Services (AWS), the world’s first hyper-scale public cloud provider, thousands of data-driven businesses have shifted on-premise data storage and analytics workloads into the cloud by architecting or adopting a cloud data platform. As the volume, variety, and velocity of enterprise data continues to grow in 2023, cloud data platforms with legacy tech and complex architectures are becoming increasingly time-consuming and costly to manage.
Read Post
chaossearch

Cloud Object Storage-based Architectures are Natively Scalable and Available

Jan 5, 2023 By Thomas Hazel In ChaosSearch
There is a long history of clustering architectures with respect to building distributed databases for two primary reasons. The first is scalability. If a cluster of nodes has reached its capacity to perform work, adding additional nodes are introduced to handle the increased load. The second is availability. The ability to ensure that if a node fails, let’s say during ingestion and/or querying, remaining nodes would continue to execute due to state replication.
Read Post
chaossearch

How to Integrate BI and Data Visualization Tools with a Data Lake

Dec 29, 2022 By Sandro Lima In ChaosSearch
For the past 30 years, the primary data source for business intelligence (BI) and data visualization tools has generally been either a data warehouse or a data mart. But as enterprises today struggle to cope with the growing complexity, scale, and speed of data, it’s becoming clear that the data tools of 30 years ago weren’t designed to handle the enterprise data management challenges of today - especially with the growing variety and amounts of data that enterprises are generating.
Read Post
chaossearch

Unlocking the Power of Data Catalogs with a Cloud Data Platform

Dec 15, 2022 By Sandro Lima In ChaosSearch
If you use a data lake, chances are you need a way to keep your data searchable for business users. When combined with the analytics capabilities of a cloud data platform, a data catalog can solve some of the common pain points around “data swamps,” where users fail to gain any meaningful insights from their data. Some of a business’s most valuable assets lie within its data.
Read Post
chaossearch

What is DataOps? Leveraging Telemetry Data for Product-Led Growth

Dec 8, 2022 By David Bunting In ChaosSearch
Any data-driven organization will tell you that the holy grail is faster time to insights. But the unfortunate truth is that business users often have to wait days — even weeks or months — to analyze the data they need. Behind the scenes, data engineering teams put a lot of work into joining disparate datasets, creating pipelines, and delivering a final data product back to their stakeholders for analysis.
Read Post
chaossearch

The 7 Costly and Complex Challenges of Big Data Analytics

Nov 17, 2022 By Thomas Hazel In ChaosSearch
re:Invent 2022 is just around the corner and we couldn’t be more excited to share the latest ChaosSearch innovations and capabilities with our current and future customers in the AWS ecosystem. Enterprise DevOps teams, SREs, and data engineers everywhere are struggling to navigate the growing costs and complexity of big data analytics, particularly when it comes to operational data.
Read Post

Episode 7 | Data Lifecycle | 7 Challenges of Big Data Analytics

Nov 15, 2022 By ChaosSearch In ChaosSearch
What is a data lifecycle? From birth to death, from source to destination, data seems to always be on a journey. If storage and compute were free or there were no laws like the “Right to be Forgotten” within policies such as “General Data Protection Regulation” or GDPR for short, organizations might never delete information. However, at scale data gets extremely expensive and customers do have liberties with regards to governance and sovereignty. Often it is the case that platforms have whole controls and procedures around the lifecycle of data. And in this episode, we will focus on the complexity of scale when it comes to the day in the life of data.
View Video

Copyright © 2026 OpsMatters™. All rights reserved.