PostgreSQL upgrade: 3-year extension from Command Prompt, Inc.

🚀 #Day66 of #100DaysOfDevOps — MySQL Deployment on Kubernetes Today, I worked on deploying a MySQL server within a Kubernetes cluster using Persistent Volumes, Secrets, and NodePort Services. The setup involved: 🔹 Defining a PersistentVolume (PV) and PersistentVolumeClaim (PVC) for data persistence. 🔹 Creating Kubernetes Secrets to securely manage credentials (root password, user credentials, and database name). 🔹 Deploying a MySQL container with environment variables mapped from the secrets. 🔹 Exposing it via a NodePort Service for external access. This exercise reinforced how Kubernetes integrates storage management and secret handling to create secure, scalable database deployments. #DevOps #Kubernetes #MySQL #CloudNative #100DaysOfCloud #Containers

Migrating from PostgreSQL, MySQL, or Oracle to MongoDB? It doesn't have to be complicated. Join our Developer Advocates, Ricardo Mello and Jesse Hall in this tutorial to the MongoDB Relational Migrator— to simplify your migration process. Watch it here. https://lnkd.in/d2jiDmmn

Migrating from PostgreSQL, MySQL, or Oracle to MongoDB? It doesn't have to be complicated. Join our Developer Advocates, Ricardo Mello and Jesse Hall in this tutorial to the MongoDB Relational Migrator— to simplify your migration process. Watch it here. https://lnkd.in/dwN8sVgd

Migrating from PostgreSQL, MySQL, or Oracle to MongoDB? It doesn't have to be complicated. Join our Developer Advocates, Ricardo Mello and Jesse Hall in this tutorial to the MongoDB Relational Migrator— to simplify your migration process. Watch it here. https://lnkd.in/dd3nKVfi

PostgreSQL Replication 1h 30m Domain Database Level Advanced This course explores advanced replication techniques in PostgreSQL, with a focus on their implementation in Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL. You'll gain understanding of both physical and logical replication methods, including their design patterns and use cases. The course covers the pglogical extension, providing insights into its capabilities and applications. You'll learn to compare physical and logical replication, understanding the strengths and limitations of each approach. By the end of this course, you'll be equipped with the knowledge to implement and optimize replication strategies in PostgreSQL environments, particularly within the context of Amazon Aurora and RDS PostgreSQL services.

Migrating from PostgreSQL, MySQL, or Oracle to MongoDB? It doesn't have to be complicated. Join our Developer Advocates, Ricardo Mello and Jesse Hall in this tutorial to the MongoDB Relational Migrator— to simplify your migration process. Watch it here. https://lnkd.in/dFt7e5nm

Your core business isn't database operations. Ours is. Managing databases across multiple platforms like MySQL, MongoDB, PostgreSQL, TiDB, and more can drain valuable engineering time and resources. Mydbops becomes your extended database operations team, ensuring reliability, performance, and scalability across your entire data infrastructure while helping you reduce costs and operational overhead. With Mydbops, you can: 🔹Achieve lower operational costs. 🔹Ensure seamless scaling and smooth migrations. 🔹Allow your developers to focus on building great products instead of managing infrastructure. 📅 Reach out to schedule a short meeting, let’s discuss your current setup and how Mydbops can add value. #CTO #VPofEngineering #ManagedServices #Opensource #Databases #PostgreSQL #Mysql #MongoDB #Tidb #CostOptimization #mydbops

PostgreSQL replication is easy, until it silently isn’t. It was a Tuesday afternoon, peak traffic, when the latency alerts started screaming. Our synchronous replica was lagging—badly—and a minor network hiccup almost took down the entire production database. Here’s the battle-tested playbook we now use for rock-solid PostgreSQL HA. 1. We stopped defaulting to async. Speed is tempting, but for our core services, even a few seconds of data loss on failover is unthinkable. We now use synchronous replication for the auth and payment tables. The ~5ms latency hit was a small, and honestly necessary, price to pay for a zero RPO. 2. Automate failover like your job depends on it. Because it does. Manual promotion is a recipe for disaster under pressure. We run Patroni with etcd to manage the cluster state and automate leader election. It handles failover in under 30 seconds, which saved us during a partial AWS AZ outage last quarter. 3. PgBouncer is non-negotiable. Your application shouldn't know or care which DB instance is the primary. A central connection pooler like PgBouncer sits in front of the cluster, maintaining persistent connections and redirecting traffic seamlessly after a failover. This completely eliminated the cascade of app-level connection errors we used to see. 4. Monitor replication lag like a hawk. An out-of-sync replica isn't high availability; it's a high-stakes liability. We have a non-negotiable Datadog alert that queries pg_stat_replication and pages the on-call if replay_lag exceeds 500ms for more than two minutes. It’s our best early warning for network saturation. 5. Brutally test your recovery. Your HA setup is just a theory until you pull the plug. We use Terraform to spin up a staging clone of our production DB and run weekly chaos tests—terminating the primary instance, severing network connections via security group rules. It’s the only way to build real confidence. True high availability isn't about uptime; it's about predictable, tested recovery. What's the most counter-intuitive failure you've seen in a PostgreSQL HA setup? Save this as a sanity check for your own cluster. #DevOps #PostgreSQL #HighAvailability #SiteReliability

PostgreSQL is known for its reliability, cost-effectiveness, advanced features, and extensive ecosystem of tools.🏅 To find out if a distributed PostgreSQL database is the right choice for your business, check out this free, in-depth guide.💡 Check it out! ⬇️ https://lnkd.in/dsMAE7sA #YugabyteDB #PostgreSQL #cloudnative #DBMS #opensource #distributedsql