Articles

A combination of AWS Lambda and Amazon API Gateway is a widely-used architecture for serverless microservices and API-based solutions. They enable developers to focus on their applications, instead of spending time provisioning and managing servers.

API Gateway is a feature-rich offering that includes support for different API types (HTTP, REST, WebSocket), multiple authentication schemes, API versioning, canary deployments, and much more! However, if your requirements are simpler and all you need is an HTTP(S) endpoint for your Lambda function (for example, to serve as a webhook), you can use Lambda Function URLs! When you create a function URL, Lambda automatically generates a unique HTTP(S) endpoint that is dedicated to your Lambda function.

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Stream-Aligned and Platform Teams

The 2021 State of DevOps report identifies two types of teams as the way high-maturity teams organize themselves: stream-aligned teams and platform teams. The idea of a « platform » or « internal developer platform » is fundamental to GitOps. While a GitOps pipeline begins with committing code to a Git repository, it is made possible by a platform that paves the way for that new code to move in an automated way from the repository to a production environment.

The platform is how the Ops team provisions resources such as cloud services, storage, service meshes, and security and monitoring tools in a ready-made template. These templates are created even before they are needed and made available to any developer within the organization. The big shift due to this is that developers need not raise a ticket for the resources they need: they can pick a ready-made template and deploy their code in a matter of minutes. From the Ops side, they have peace of mind knowing they have configured this template and that it follows security protocol by default. It does not require developers to separately configure security for deployments.

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Apache Kafka became the de facto standard for processing data in motion across enterprises and industries. Cybersecurity is a key success factor across all use cases. Kafka is not just used as a backbone and source of truth for data. It also monitors, correlates, and proactively acts on events from real-time and batch data sources to detect anomalies and respond to incidents. This blog series explores use cases and architectures for Kafka in the cybersecurity space, including situational awareness, threat intelligence, forensics, air-gapped and zero trust environments, and SIEM/SOAR modernization. This post is part six: SIEM/SOAR Modernization.

Blog Series: Apache Kafka for Cybersecurity

This blog series explores why security features such as RBAC, encryption, and audit logs are only the foundation of a secure event streaming infrastructure. Learn about use cases,  architectures, and reference deployments for Kafka in the cybersecurity space:

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The monitoring and alerting stack is a crucial part of the SRE practices. That’s where BotKube helps you monitor your Kubernetes cluster and send notifications to your messaging platform or any other configured sink. In this blog post, we will be configuring BotKube to watch the Kubernetes cert-manager certificates CustomResources.

What is BotKube?

BotKube is a messaging tool for monitoring and debugging Kubernetes clusters. BotKube can be integrated with multiple messaging platforms like – Slack, Mattermost, or Microsoft Teams to help you monitor your Kubernetes cluster(s), debug critical deployments, and gives recommendations for standard practices by running checks on the Kubernetes resources.

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Amazon Web Services (AWS) is the most popular public cloud, with 175 services and counting. A key element of a successful cloud operation is gaining visibility into what is running where, what issues are occurring, and dealing with them, preferably automatically.

In this article, I’ll discuss the basics of AWS monitoring, including Amazon services that can assist with monitoring, key metrics to watch for the most popular Amazon services, and a special focus on monitoring EC2 environments, which are the basis for most Amazon deployments.

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In this series:

I am happy to see that many people are enthusiastic about this series and wish to make their IaC applications better with Ansible. What I intend to do is quite simple. I will write an Ansible playbook that uses the template module (see Templating with Jinja2) and a little magic of Jinja2 templates to load appropriate variables and configurations for each Terraform environment. Finally, I will use the Terraform CLI to deploy and delete the infrastructure.

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Docker Hub: In the News

DockerHub is a cloud-based repository where popular Docker images can be published and end-users can pull them for their cloud-native infrastructure and deployments. Docker images are lightweight and portable; they can be easily moved between systems. Anybody can create a set of standard images, store them on a repository, and share them throughout the organization. You can also use Docker Hub for sharing Docker container images. 

Docker Hub was recently in the news for the following two reasons:

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As the Azul alternate representative on the JCP Executive Committee (EC), I get to attend all the EC meetings and take part in the various discussions. One topic that the EC has been devoting a lot of energy to recently is the adoption of the Java platform, post-JDK 8.

Ordinarily, this would be a discussion about the best ways to encourage people to migrate their applications to using JDK 9. However, this is not so in the new Java world order.

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