Private clouds combine the many benefits of cloud computing, like elasticity, scalability and agility, with the security, access control and resource customisation of on-prem infrastructure. Private clouds allow financial institutions to have greater control over hardware and software choices. They make it easier to enforce compliance with regulatory standards.

Aiven for Apache Kafka® Klaw, an open source data governance toolkit, helps enterprises exercise Apache Kafka® Topic and schema governance. Find out what you can accomplish with it!

Aiven enters the next phase of its open source commitment with Apache Kafka® data governance. Read what Oskari Saarenmaa has to say about Kafkawize.

Cloud computing and containerization have brought many benefits to IT systems, like speed to market and on-demand scaling. But it has also increased operational complexity. Applications built on dynamic and distributed infrastructure are challenging to operate and maintain. A robust observability framework can help application owners stay on top of their software systems. In this article, we will introduce SigNoz - an open source observability platform.

In the beginning, there was Amazon Web Services (AWS). And AWS set a standard for cloud computing. AWS was fast, flexible, convenient to use and geo-redundant. Definitely much better than legacy IT infrastructure or VMware. A lot of enterprises all over the world started migrating their business applications to AWS.

Distributed tracing helps you track requests across services and understand issues affecting your application performance. In distributed cloud architecture, debugging performance issues is complicated. Distributed tracing gives visibility to teams on how a user request performs across different services, protocols, and cloud infrastructure. Let’s start with a brief overview of distributed tracing.

Welcome to the Fall 2022 edition of Open Source Matters: our regular publication about the latest happenings in open source! Let’s dive into the news.

You are not the only one asking this seemingly popular question! Several companies are torn between the rise in appeal of open-source databases and the undeniable challenges inherent to their adoption. Let’s explore the trends, the drivers and the challenges related to open-source database adoption.

Akka’s license change has surprised many of us, but it didn’t come out of nowhere. Lightbend recently announced that Akka will be transitioning from an “Open Source” license to a “Source available” license called BSL 1.1. Let’s unpack this to understand what it all means.

The open-source community is about to benefit greatly from Netdata’s new Grafana data source plugin, which makes use of a powerful data collection engine. This new plugin maximizes the troubleshooting capabilities of Netdata in Grafana, making them more widely available. Some of the key capabilities provided to you with this plugin include the following.

Free and open-source apps for remote workers provide an alternative to costly and often less transparent commercial software. Many incredible free and open-source applications can significantly improve your remote work experience. Open-source applications are programs that you can run, modify, and redistribute for any purpose. Such applications are public, and everyone has access to their source code. These apps and software are commonly referred to as FOSS.

Running or operating applications requires several tasks throughout their lifecycle: scaling instances, checking the health, integrating with other applications, running backups, and applying updates – to name a few examples. It’s a time and labour-intensive process. To automate these tasks, developers can implement scripts for repeated execution. This is where the software operator comes in.

Pranay, one of the the co-founders at SigNoz, was recently invited as a guest speaker by Jonah Kowall, CTO at Logz.io on his OpenObservability Podcast. In the podcast, Pranay talks about the mission behind SigNoz - unifying traces, metrics, and logs in a single platform and interface. He also shared anecdotes about the evolution of SigNoz since its inception, the community adoption, and its contribution to SigNoz.

It’s monitoring time. We all collect metrics from our system and applications to monitor their health, availability and performance. Our metrics are essentially time-series data collected from various endpoints. Then, it is stored in time series specialized databases, and then visualized in the metrics graphs we all know and love.