| | | 🔗 Stories, Tutorials & Articles | | | | | | | The 11 most promising DevOps startups of 2022, according to VCs ✅ | | | | | | Insider asked VCs to name their picks for the most promising DevOps startups in the industry. Here are the 11 companies they named. |
| | | | | | | | | | How to develop and test your Cloud Functions locally | | | | | Learn how to develop and debug code for serverless platforms with Cloud Functions, which utilizes the open-source Functions Framework.
The post also provides a real-world example of a TypeScript app that processes images, and illustrates how to run the function locally with the Functions Framework, allowing for faster iteration and testing before deploying.
It also shows how to invoke the function with an Eventarc event locally. This can save time and resources in your development flow, and it aligns with Google's drive for open standards and open source. |
| | | | | | | | | | | A guide to cyber threat hunting with Promtail, Grafana Loki, Sigma, and Grafana Cloud | | | | | The Security Operations team at Grafana Labs uses logs to help identify suspicious or malicious activity. They use the open source Sigma project, a generic structured format for sharing methods for identifying such activity in log files, to help them search for indications of compromise (IOCs) in logs.
However, Sigma rules cannot be used to directly query logs, so the team has developed a pySigma Grafana Loki backend, which can take Sigma rules and convert them into relevant query languages, such as Grafana Loki’s LogQL, to search for activity on infrastructure and services.
They have also provided a step-by-step guide on how to generate log data using Sysmon, collect the data with Promtail, store the data in Loki, and use Sigma rules to query for them in Grafana Cloud. |
| | | | | | | | | | Predicts: What to Expect in 2023 | | | | | Leaders from HashiCorp share their predictions for 2023 in the world of cloud and digital transformation.
They predict trends such as multi-cloud and zero trust security will continue to shape the enterprise technology landscape, as well as an increasing need for private data centers due to cost concerns and data sovereignty issues.
They also expect to see increased automation and standardization of infrastructure, growth in Kubernetes and specialized serverless platforms, and more focus on operational efficiencies and security in service mesh deployments.
Additionally, they predict an increase in supply chain attacks and a focus on internal developer platforms as a central service for organizations. |
| | | | | | | | | | Using Prometheus, Loki, and Grafana to monitor QuestDB in Kubernetes | | | | | In this tutorial, a Cloud Engineer, Steve Sklar, explains how to use popular tools in the Kubernetes ecosystem to build monitoring infrastructure for QuestDB instances. The goal is to deploy a QuestDB instance on a Kubernetes cluster while also connecting it to centralized metrics and logging systems.
The components used in this tutorial include: Prometheus to collect and store QuestDB metrics, Loki to store logs from QuestDB, Promtail to ship logs to Loki, and Grafana to build dashboards with data from Prometheus and Loki.
The tutorial provides instructions on how to install and test the above components using kind (Kubernetes In Docker) and kubectl, and also mentions the prerequisites needed to follow the tutorial. |
| | | | | |
|
|
