The interconnectedness of today's business environment has significantly heightened the complexity of incident response (IR). The need for immediate action, precise communication, and real-time collaboration is more critical than ever. However, beyond the technical precision required in solving problems, there lies an often overlooked aspect of effective IR management: the etiquette of incident response calls.

Autoscaling in cloud computing is the ability of a system to adjust its resources in response to changes in demand automatically. This guarantees that applications always have the resources they need to perform optimally, even during periods of high traffic. Autoscaling eliminates manual intervention, allowing your dev team time to focus on your product. All major cloud providers like AWS, Azure, and Google Cloud Platform offer robust autoscaling solutions with many features and capabilities.

At Mattermost, we’re on a quest to scale our application by one order of magnitude, from tens of thousands to hundreds of thousands of concurrently active users per installation. Scaling up is a complex effort involving expertise at several different levels. At its core, it’s a game of catching the next bottleneck — whether it’s application CPU usage, memory consumption, database throughput, networking, or any combination of the above (among other causes as well).

Automation is the foundation of any successful DevOps strategy, especially for startups and fast-growing companies. Manual processes simply don’t scale as the business grows, leading to delays, errors, and frustration. For organizations striving to optimize efficiency, speed up development, and maintain high-quality standards, DevOps automation is a must.

We’re excited to announce that Deno, the modern JavaScript and TypeScript runtime, now supports private npm registries. You can now leverage Cloudsmith to securely host and share your npm modules directly within your Deno projects.

We break down the essentials of streaming aggregation and its impact on modern data processing.

Learn about OTLP’s key features, and how it simplifies telemetry data handling, and get practical tips for implementation.

Over the last few years, more organizations have switched from relying solely on one cloud service provider (CSP) to several. The primary reasons for the change are minimizing dependence on a single CSP, preventing vendor lock-in, and providing greater flexibility. Recent trends include using a mix of cloud providers to take advantage of the cost savings several CSPs offer and using best-of-breed services for different applications, teams, or departments.

Local preview environments are transforming how developers test and validate code changes before merging them into the main codebase. Acting as temporary cloud environments, they provide a production-like setting where new features and bug fixes can be tested in isolation, catching issues early and streamlining the development code review process. These environments are crucial for enhancing development velocity, especially in CI/CD workflows used by DevOps engineers and QA teams.