Operations | Monitoring | ITSM | DevOps | Cloud

An overview of machine learning security risks

Data is at the heart of all machine learning (ML) initiatives – and bad actors know it. As AI continues to occupy the limelight of modern tech discourse, ML systems are becoming increasingly attractive targets for attack. With the Identity Theft Resource Center reporting a 72% spike in data breaches in 2023, it’s critical to take the proper precautions to ensure your ML projects don’t provide a back door to your data.

Speedrun to Signals: automated migrations are here

When we launched Signals to the world, we were excited to hear how our product resonated with many teams. But with that excitement came an understandable concern: how much time and effort will I have to put in to move from my existing provider to Signals? We hear you — that’s why we built the Signals Migrator tool. And we’re open sourcing it.

When Your Open Source Turns to the Dark Side

Not that long ago, in a galaxy that isn’t remotely far away, a disturbance in the open source world was felt with wide-ranging reverberations. Imagine waking up one morning to find out that your beloved open source tool, which lies at the heart of your system, is being relicensed. What does it mean? Can you still use it as before? Could the new license be infectious and require you to open source your own business logic? This doom’s day nightmare scenario isn’t hypothetical.

Managing cloud carbon emissions- A joint initiative by Aiven and Thoughtworks

Did you know that the tech sector is responsible for around the same volume of carbon emissions as the aviation industry? Cloud computing relies on large data centers and data transmission networks, making it one of the leading sources of energy and carbon emissions in tech. Moreover, challenges surrounding the reliability and accessibility of accurate cloud emissions data complicate the management of such data alongside an inclusive climate action. Aiven and Thoughtworks are driving a vision to tackle this issue head-on.

Open-source Telemetry Pipelines: An Overview

Imagine a well-designed plumbing system with pipes carrying water from a well, a reservoir, and an underground storage tank to various rooms in your house. It will have valves, pumps, and filters to ensure the water is of good quality and is supplied with adequate pressure. It will also have pressure gauges installed at some key points to monitor whether the system is functioning efficiently. From time to time, you will check pressure, water purity, and if there are any issues across the system.

How To Harness the Full Potential of ELK Clusters

The ELK Stack is a collection of three open-source projects, Elasticsearch, Logstash, and Kibana. They operate together to centralize and examine logs and other types of machine-generated data in real time. With the ELK stack, you can utilize clusters for effective log and event data analysis and other uses. ELK clusters can provide significant benefits to your organization, but the configuration of these clusters can be particularly challenging, as there are a lot of aspects to consider.

Open source observability explained - the Grafana Labs stack

Wish you could have open source observability explained to you? Senior Developer Advocate Nicole van der Hoeven explains how all the OSS projects from the Grafana Labs stack work together and how the picture they're all building towards is continuous reliability. TIMESTAMPS: ☁️ Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, and traces. Our forever-free tier includes access to 10k metrics, 50GB logs, 50GB traces and more. We also have plans for every use case.

Elastic Universal Profiling agent, a continuous profiling solution, is now open source

Elastic Universal Profiling™ agent is now open source! The industry’s most advanced fleetwide continuous profiling solution empowers users to identify performance bottlenecks, reduce cloud spend, and minimize their carbon footprint. This post explores the history of the agent, its move to open source, and its future integration with OpenTelemetry.

Introducing Netplan v1.0 - stable, declarative network management

As the maintainer and lead developer of Netplan, I’m proud to announce the general availability of Netplan v1.0 after more than 7 years of development efforts. Over the years, we’ve had approximately 80 individual contributors from around the globe. This includes many contributions from our Netplan core-team at Canonical as well as organisations like Microsoft and Deutsche Telekom.