DevOps Tech

We’ve made significant progress in data collection lately. Businesses nowadays are generating terabytes of data from various sources like applications, sensors, transactions, and user interactions. However, when it comes time to utilize that data—for dashboards, analytical models, or business processes—you quickly encounter the challenges of data transformation . You may have experienced this yourself. Engineers often spend weeks crafting delicate transformation code. Each time there’s a schema update, it disrupts the pipelines. Documentation is often lacking. Business rules end up buried in complex ETL scripts that no one wants to handle. This is the hidden cost of your data operations: it’s not just about gathering data, but also about manipulating it effectively. Here’s the exciting part: large language models (LLMs) are changing the game—not through some vague notion of AI “magic,” but by streamlining the tedious work of parsing, restructuring, and mapping data, which has tradition...

Running a growing e-commerce platform like Opszilla is an exhilarating experience. You're managing thousands of orders daily across the US and Canada, scaling your infrastructure, and exploring new markets. However, as this momentum builds, your data infrastructure and database performance start to falter. Initially, the signs are minor—slower queries, delayed reports, and a few bumps along the scaling journey. But then the bigger issue comes into focus: you're still on MySQL 5.7, a version that's reaching its end-of-life in October 2023. This situation escalates quickly. You’re not just facing performance dips; you’ve uncovered a genuine risk. No more updates. No more security patches. No future support. For a business reliant on real-time transactions, that’s a significant problem—not something you can afford to overlook. This blog will delve into a real-life example from Opszilla, demonstrating that upgrading to MySQL 8.0 isn't merely a technical upgrade—it's a c...

Redis is a fundamental component in many modern applications, prized for its speed and versatility. However, it’s important to remember that Redis systems require ongoing attention; they are not just set-and-forget solutions. To ensure optimal performance, it’s essential to monitor key metrics that can signal early warnings of performance issues, resource shortages, or system failures. In this blog post, we’ll explore how to monitor Redis using the OpenTelemetry Collector’s Redis receiver, eliminating the need for a separate Redis Exporter. [ Are you looking : G enerative AI Integration Services ] Why is Monitoring Redis Important? Redis can encounter several challenges, such as: Excessive memory consumption Slow response times for clients Key evictions triggered by memory constraints High CPU usage Replication delays Why Not Redis Exporter? (The Bottleneck)   Issue with Redis Exporter   Explanation   Extra Container Dependency   Required a separate exporter contain...

Introduction  In the realm of Site Reliability Engineering (SRE), three key terms frequently come into play: SLOs, SLAs, and SLIs. But what do these acronyms really signify, and how are they interconnected? Too often, explanations are overly complex or lacking in clarity. This guide aims to simplify the conversation by providing a straightforward, actionable overview of these essential metrics, complete with real-world examples and best practices. By the end, you'll know: What SLAs, SLOs, and SLIs are (and how they differ) How to set realistic SLOs without hurting your team What are the biggest mistakes companies make (and how to avoid them) How Google, Netflix, and Uber use these metrics 1. The Restaurant Analogy: Understanding SLA vs SLO vs SLI Scenario: Running a Pizza Delivery Service SLA (Service Level Agreement) Your promise to customers: "30-minute delivery or it's free" Binding contract with financial penalties Customer-facing metric SLO (Service Level Ob...

Launching a new app for your startup on AWS can truly feel like an exhilarating adventure. The platform offers scalable infrastructure, robust availability, and a broad range of powerful services to support your success. However, just when you think everything is running smoothly, a concerning trend might emerge: your cloud expenses are climbing faster than your user growth. What’s behind this spike? Often, it’s the unexpected AWS data transfer costs . While AWS provides many benefits, many teams fail to recognize the hidden costs linked to moving data between services, across regions, or over the internet. If you’re not vigilant, these expenses can quickly add up, putting a strain on your cloud budget and potentially hindering your growth plans down the line. This blog post aims to shed light on AWS data transfer pricing, addressing common hurdles organizations face while offering actionable strategies to optimize cloud spending and manage your AWS expenses more effectively. Understan...

Why Alarms Matter in Cloud Infrastructure   In any modern cloud-based architecture , monitoring and alerting play a critical role in maintaining reliability, performance, and security.   It's not enough to just have logs—you need a way to act on those logs when something goes wrong. That's where CloudWatch alarms come in.   Imagine a situation where your application starts throwing 5xx errors, and you don't know until a customer reports it. By the time you act, you've already lost trust.   Alarms prevent this reactive chaos by enabling proactive monitoring—you get notified the moment an issue surfaces, allowing you to respond before users even notice.   Without proper alarms:   You might miss spikes in 4xx/5xx errors.   You're always proactive instead of reactive .   Your team lacks visibility into critical system behavior.   Diagnosing issues becomes more difficult due to a lack of early signals.   Due to all the reasons Above, th...