Operations | Monitoring | ITSM | DevOps | Cloud

Modern computing has come a long way in the last couple of years and the introduction of new technologies is only accelerating the rate of advancements. From the immense compute power at our disposal to lightning-fast networks and ready-made services, the opportunities are limitless. In such a fast-paced world, we can’t ignore economics.

Distributed systems are everywhere. Although many teams don’t think of their applications as distributed systems, if they’re developing using container-based microservices and serverless functions instead of a monolith, they’re creating a distributed system. This change also means that monitoring needs are becoming more complex.

Storage is one of the most critical components for any relational database management system, and getting the right storage configuration affects reliability, availability, and performance. When it comes to SQL Server storage best practices, choosing between storage hardware options has changed significantly over the last decade, but that doesn’t necessarily make choosing the correct storage options for SQL Server any easier.

Web servers are software services that store resources for a website and then makes them available over the World Wide Web. These stored resources can be text, images, video and application data. Computers that are interfaced with the server mostly web browsers (clients), request these resources and presents to the user. This basic interaction determines every connection between your computer and the websites you visit.

AWS just announced support for AWS Lambda functions powered by AWS Graviton2 processors. These are 64-bit Arm-based processors that are custom built by AWS and offer a better price to performance ratio. In this post, let me take through what we have learnt about this new option and what it means for you.

Comparison of top observability and debugging tools to help you monitor Python in AWS Lambda.

Imagine you are an on-call engineer, who receives an alert at 3 AM in the morning informing you that customers are experiencing high latency on your website, and are unable to shop. Being an Incident response coordinator myself at Sumo Logic, I can tell you, I don’t envy being that engineer. If this alert fired, this is what would likely follow: The biggest challenge is how to gather this information quickly, so you can decide whether to jump out of the bed or go back to sleep.

Organizations are constantly trying to maintain pace with users' expectations and desires from a digital experience. These users expect an experience that constantly changes based on their preferences and behavior, which means innovating quickly and improving software is critical to user happiness and driving business success.

As part of its recent acquisition of Sensu, Sensu Go is now part of the Sumo Logic Continuous Intelligence Platform, empowering enterprises and developers to quickly get real-time insights from unstructured data for troubleshooting, performance improvement, and security across dynamic multi-cloud infrastructure.