Operations | Monitoring | ITSM | DevOps | Cloud

Modern businesses rely on dozens of third-party services to operate effectively. When AWS goes down, your application might crash. When Stripe has issues, payments fail. When Slack experiences an outage, team communication grinds to a halt. Vendor monitoring platforms help you track the health of these critical dependencies before they impact your operations. But with numerous options available, selecting the right platform requires careful evaluation of your team's specific needs and workflows.

Cloud Observability’s curated Application Monitoring dashboards improve troubleshooting with best practices from Google SREs.

Security breaches rarely begin with a hidden zero-day exploit or a complex web of escalated hacks. They often start in very simple ways – an internal team member is breached, a permission is misconfigured, an overly permissive API endpoint is overlooked, or a JWT simply doesn’t expire. An API, or application programming interface, is a set of protocols and tools that enable different software systems to communicate and exchange data, making them essential in modern software development.

Containers and serverless computing are two of the most popular methods for deploying applications. With the rise of microservices and modern DevOps, teams need faster, leaner ways to build and release software. However, selecting the wrong architecture can slow down delivery, increase cloud costs, or lock you into tools that don’t scale with your business. Both methods have their advantages and disadvantages.

Application Performance Monitoring (APM) refers to the practice of tracking, analyzing, and optimizing the performance and availability of software applications. When it comes to Go (Golang), a language known for its concurrency, speed, and efficiency, APM becomes crucial to ensure that your applications stay fast, reliable, and scalable under real-world loads. APM in Go involves monitoring the runtime behavior, request response times, system resource usage, and error patterns across your application.

Clean, consistent SQL code isn’t just a preference. It’s a pathway to healthier applications, faster debugging, and happier teams. Whether you’re onboarding new developers or optimizing legacy systems, having a clear set of standards can make all the difference. Flyway’s code analysis is a powerful ally in keeping your database code tidy and secure, and making sure best practices are being followed.

A risk register is one of the most powerful tools in an SRE's arsenal for maintaining system reliability. By systematically documenting potential threats to your infrastructure and services, you can shift from reactive firefighting to proactive risk management.

ClickHouse is built for high-performance OLAP workloads, capable of scanning billions of rows in seconds. If your analytical queries are bottlenecked on PostgreSQL or MySQL, or you're burning too much on Elasticsearch infrastructure, ClickHouse offers a faster and more cost-efficient alternative. This blog walks through setting up ClickHouse locally with Docker Compose and scaling toward a production-grade cluster with monitoring in place.