Operations | Monitoring | ITSM | DevOps | Cloud

Serverless Monitoring: Essential Metrics Every Developer Should Track

Serverless applications have become one of the most efficient ways to build and deploy software. With platforms like AWS Lambda, Azure Functions, and Google Cloud Functions, teams can focus on writing code while the provider handles infrastructure, scaling, and availability. But going serverless doesn’t mean monitoring stops being important. In fact, monitoring becomes even more critical because you don’t have direct control over the servers, containers, or VMs.
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How Right-Sizing Ephemeral Environments Reduces Cloud Costs

Ephemeral environments supercharge development velocity-but if left unchecked, they can quietly drain your cloud budget. The answer? Right-sizing: a strategy that tailors resource allocation to real-world usage. Done right, it can slash cloud expenses by 30% to 70%. Let's dive into how this works-and why more teams are making it part of their CI/CD pipelines.

Shift Left on Performance Testing - Without Killing Developer Velocity

Traditional performance testing often comes late in the delivery cycle, typically just before release. By then, performance issues are usually quite expensive to fix, can delay deployments, and frustrate development velocity. A Shift Left testing approach addresses this by integrating performance testing early in the development cycle so issues surface while they’re still easy and cheap to fix.

Simple Kafka for Developers: Kafka UI Directly in Your IDE

Developers love tools that make their lives easier. Whether it’s debugging, visualizing data, or managing clusters, the right tools can transform hours of manual work into just a few clicks. When it comes to Kafka - one of the most powerful but complex streaming platforms - having the right interface is critical. That’s exactly why we built our new Kafka UI Plugin.

Code Generation for Complex SDKs: When and How to Use It

If you have worked with modern SDKs in any real project, you already know they make development easier and harder at the same time. They offer tools that save time, but once an SDK gets large, it can turn into a maze of methods, object types, and setup steps. Some cloud SDKs are so big that writing integration code by hand starts to feel like repeating the same patterns over and over. That is where code generation becomes useful. It reduces the amount of manual glue code and cuts down the chances of making small mistakes that later take hours to debug.

Improving the Developer Experience by Monitoring Third-Party Outages

The role of third-party SaaS and cloud services in the modern software development stack needs no explanation. Primarily due to the ease of setting up and hooking them together, they make the software development lifecycle (SDLC) much easier than it was 10 years ago. No more managing the overhead of installing, configuring, maintaining, backing up, and scaling of source code repos, virtual machines, and CI/CD systems. Some services don't have any in-house options, e.g. payment gateways.

UI-UX Sync in High-Frequency Systems: Frontend Design That Doesn't Break the Backend

Building a high-frequency system requires a certain level of expertise. A developer of a software program, a website, an app, or any other type of management system must ensure that the system runs as efficiently as possible. While the user experience is often the main priority due to a business's intended aims, a system must also function seamlessly in the backend, just as it does in the front-end. If it doesn't, chaos can potentially ensue, which can have potentially significant consequences.

AI Meets Mobile: How Companies Leverage Android and AIOps for Smarter User Experiences

Mobile devices are becoming smarter with every tap. Thanks to AI and AIOps, Android apps can now predict what users need, fix issues before they even notice them, and create seamless, personalized experiences. This isn't a distant tech dream but something that's happening right now, transforming the way companies design and deliver mobile services. From streamlining performance to enhancing customer engagement, AI is quietly rewriting the rules of mobile interaction.