DevOps is Dead, Evolving Devops

DevOps UT monthly meetup on March 13, 2024

Join our community meetup for an engaging discussion on how Atlassian is pioneering the integration of Artificial Intelligence (AI) into the tools that shape the future of software development, such as Jira, Confluence, BitBucket, and OpsGenie. This event is tailored for developers, project managers, and technology enthusiasts eager to explore the transformative power of AI in enhancing efficiency, collaboration, and innovation in software development.

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Serverless computing is transforming application development and deployment. Imagine concentrating only on your code and doing away with cumbersome server management.

Serverless programming allows you to create functions that are triggered by events such as HTTP requests or database updates, and the server platform takes care of the rest. You can easily scale your application based on demand and write code in well-known languages like Python or Node.js using platforms like Google Cloud Functions, all while only paying for the resources you use. This results in increased agility, reduced costs, and quicker development times.

Thus, release your code from server constraints and welcome the serverless future; it’s the ideal starting point for creating cutting-edge, cloud-based event-driven applications.

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DevOps UT Meetup, Nov. 8

A system architecture for streaming data pipelines that scales automatically while minimizing compute costs.

Applications deployed as Kubernetes Deployments (or StatefulSets) can be scaled manually or automatically either through the API or with the HorizontalPodAutoscaler (HPA). This can be a great solution for scaling relatively steady workloads with short-lived task durations, such as a REST API backing a web application.

With volatile workloads, back pressure can become a problem. If volume increases faster than resources can scale up, requests will time out.


Agenda
6:00 - 6:10 PM Introductions and Announcements
6:10 - 6:30 PM Presentation by Richard and Bart Wood from SaasGlue - https://www.saasglue.com/
6:30: Demo showing scaling example in Kubernetes and Message Queues
6:50 - 7:00 PM Q & A

Demo Code: https://github.com/saascipes/k8s-auto-scaler

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DevOps UT Oct. 11, 2023 Zoom meetup

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In today's dynamic cloud landscape, microservices have revolutionized the way we design, build, and scale applications. However, this modular approach brings its own challenges, primarily in the areas of monitoring and observability. This presentation will delve deep into how four industry-leading tools—InfluxDB, Jaeger, Grafana, and OpenTelemetry—come together to provide a comprehensive monitoring solution for your microservices ecosystem.

Key Points to be Covered:

1. Microservices Monitoring Challenges:
* The fragmented nature of microservices.
* The need for real-time visibility.
* Challenges in tracing requests across services.

2. Introduction of the Monitoring Stack:
* Overview of InfluxDB, Jaeger, Grafana, and OpenTelemetry.
* How they fit into the microservices architecture.

3. OpenTelemetry: The Unified Observability Framework:
* What is OpenTelemetry?
* Its role in instrumenting applications.
* Gathering and exporting telemetry data.

4. Tracing with Jaeger:
* Importance of distributed tracing.
* How Jaeger visualizes trace data.
* Integrating Jaeger with OpenTelemetry.

5. InfluxDB: Storing Time-Series Data:
* Introduction to InfluxDB as a time-series database.
* Storing metrics and events from microservices.
* Performance and scalability advantages.

6. Visualizing Data with Grafana:
* Creating insightful dashboards.
* Integrating Grafana with InfluxDB and Jaeger.
* Alerting and anomaly detection.

7. Best Practices for Monitoring Microservices:
* Combining metrics, traces, and logs.
* Setting meaningful alerts.
* Continuous improvement through observability.

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As enterprises transition to containerized deployments and microservices architectures, the need for comprehensive and dynamic policy enforcement becomes paramount. The Open Policy Agent (OPA) emerges as an industry-standard solution, serving as a universal policy engine across the stack.

In this presentation we will discuss:

1. What is OPA?

Delve deep into the fundamentals of the Open Policy Agent, understanding its architecture, core components, and its role in the DevOps ecosystem.

2. OPA in the Enterprise Landscape:

Explore how OPA is revolutionizing policy enforcement in modern enterprise systems and why it matters.

3. Hands-on with OPA:

We will do a live demo of OPA's capabilities. By leveraging OPA with Istio and Kubernetes, we'll illustrate the process of setting up a basic Role-Based Access Control (RBAC) system.

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