Author: wallacelee
-
Monitoring Kubernetes Cluster with Datadog (Minikube + OpenTelemetry Demo)
This hands-on guide shows how to monitor a Kubernetes cluster with Datadog using a local Minikube and the OpenTelemetry Demo as a realistic microservices showcase. You’ll route telemetry to Datadog via the Datadog Agent’s OTLP endpoint, then use Kubernetes Overview/Explorer, APM, and Error Tracking to troubleshoot common workload failures. By the end, you’ll deploy fast,
//
-
Building a Real-World Dashboard on Grafana Cloud (Logs, Metrics, Uptime & Security)
Introduction I wrote this article to turn my own notes into something useful, for me and for anyone who is trying to stand up a real, no-nonsense dashboard. I wanted one place to see if my blog is up, how fast it feels, where visitors come from, and whether anyone’s rattling the doors. So I
//
-
Mastering Terraform as a Site Reliability Engineer: A Complete Guide for Multi-Cloud and Multi-Environment Automation
Infrastructure as Code (IaC) is at the heart of modern SRE and DevOps practices. As an SRE, using Terraform empowers you to provision, manage, and scale infrastructure predictably across cloud environments. In this guide, I will walk you through the key reasons and examples that showcase why and how I use Terraform, particularly for multi-region
//
-
Achieve Cloud-Native Observability on Google Kubernetes Engine with Dynatrace
In my previous article, I explored the observability and monitoring tools for managing microservices architectures on Google Kubernetes Engine (GKE). In this article, I will compare these tools with Dynatrace’s Cloud Native Full-Stack deployment, focusing on how each handles CPU throttling issues. While GKE’s tools offer solid observability, they often require navigating through multiple interfaces
//
-
Log Analytics and Monitoring for Google Kubernetes Engine (GKE) with Hipster Shop
This blog will guide you through setting up log analytics, monitoring and alert for a Google Kubernetes Engine (GKE) cluster using the Hipster Shop Observability Demo Application as reference. 1. Introduction to Kubernetes Monitoring and Log Analytics Monitoring and log analytics in Kubernetes are essential for ensuring: Effective monitoring and logging provide insights into application
//
-
Dynatrace Grail: A Revolutionary Data Platform for Observability
In my previous blogs, I explored how to enhance observability in AWS environment by ingesting logs and metrics to Dynatrace. Now I will dive deeper into one of Dynatrace’s most revolutionary features: Dynatrace Grail. This cutting-edge observability data lakehouse not only unifies logs, metrics, and traces into a single platform but also leverages AI-driven analytics
//
-
Implementing AWS X-Ray for Tracing and Debugging Your Application
Observability plays a crucial role in understanding, maintaining, and optimizing complex systems in the realm of Site Reliability Engineering (SRE). It enables SREs to gain deep insights into the internal workings of systems by analyzing outputs such as metrics, logs, and traces. When it comes to distributed applications, it’s essential to ensure that you can
//
-
Enhancing Observability with AWS OpenSearch
Introduction Observability is a key pillar in Site Reliability Engineering (SRE) that involves monitoring systems, identifying anomalies, troubleshooting issues, and ensuring seamless operations of services. SREs strive to maintain a balance between deploying new features rapidly and maintaining system reliability. To achieve this, observability tools help gather data, metrics, and logs from different layers of
//
-
How to monitor AWS environment with Dynatrace using ActiveGate
Introduction In my previous post, I discussed using Amazon Data Firehose and CloudWatch Metric Streams to ingest metrics into Dynatrace. In this post, I’ll compare this method with another approach: using the Dynatrace ActiveGate agent. I’ll also walk you through the steps to set up ActiveGate for monitoring your AWS environment. Dynatrace ActiveGate is a
//
-
How to Ingest CloudWatch Metrics to Dynatrace Using Amazon Data Firehose and CloudWatch Metric Stream
Monitoring the performance of your AWS ECS (Elastic Container Service) cluster is crucial to ensure your application operates efficiently, especially under varying workloads. While AWS CloudWatch provides robust tools for tracking metrics, you can enhance your observability by integrating it with other APM tools like Dynatrace for more advanced dashboards, alerting, and root-cause analysis. This
//
-
Managing Infrastructure as Code (IaC) With Terraform
When managing AWS resources, it’s common to start with resources created manually or by other tools. As you begin adopting Infrastructure as Code (IaC) with Terraform, importing these existing resources becomes necessary. In this blog, we’ll explore how to import AWS Systems Manager State Manager association into Terraform, and then how to update the EC2
//
-
Implement RAG with AWS Bedrock and MongoDB Atlas
While exploring AI use cases, I discovered Retrieval-Augmented Generation (RAG). This technique in natural language processing merges information retrieval with text generation. By doing so, it boosts the abilities of language models to generate responses not just from their pre-trained knowledge but also by sourcing information from contextually relevant documents, leading to more accurate, precise,
//
-
Deploy MongoDB and Mongo Express on Kubernetes Cluster
In this setup guide, I will deploy a MongoDB and Mongo Express application on AWS Kubernetes Cluster (EKS). EKS is a managed Kubernetes service that makes it easier to run Kubernetes on AWS. Using EKS offers the following major benefits: Kubernetes (K8s) is an open source platform to deploy, scale and manage containerized applications. Here
//
-
Building a Serverless Event-Driven Order Fulfillment System using AWS EventBridge (Part 2)
This is part 2 of my last post, “Building a Serverless Event-Driven Order Fulfillment System using AWS Event Bridge“. In Part 1, I’ve already setup the infrastructure to accept orders and publish them as events to EventBridge, along with routing them to an API destination and CloudWatch log group. For the next steps, we can
//
-
Building a Serverless Event-Driven Order Fulfillment System using AWS EventBridge (Part 1)
In this blog post, I will walk through the journey to build a simple order fulfillment system using an Event-Driven Architecture (EDA). EDA is an architecture pattern designed to decouple and decentralize application components by allowing loosely couple services to communicate through asynchronously publishing and subscribing to events via an event router. EDA offers several
//
Search
Recent Posts
- Monitoring Kubernetes Cluster with Datadog (Minikube + OpenTelemetry Demo)
- Building a Real-World Dashboard on Grafana Cloud (Logs, Metrics, Uptime & Security)
- Mastering Terraform as a Site Reliability Engineer: A Complete Guide for Multi-Cloud and Multi-Environment Automation
- Achieve Cloud-Native Observability on Google Kubernetes Engine with Dynatrace
