The classic debate when running a software as a service (SaaS) business is between release frequency vs. stability and availability. In other words, are you Team MTTR (mean time to recovery) or Team MTBF (mean time between failure)? In this blog post, I argue for MTTR, which encourages you to push more frequently, embrace the instability this may introduce, and invest in training and tooling to deal with the pursuing outages.

A majority of front-end developers deal with this buzzword all the time: V8. A big part of its popularity is due to the fact that it led JavaScript to a new level of performance. Yes, V8 is very fast. But, how does it perform its magic and why is it so responsive? The official docs state that “V8 is Google’s open source high-performance JavaScript and WebAssembly engine, written in C++. It is used in Chrome and Node.js, among others”.

With pandemic’s sudden hitting, most offices and companies had to quickly move their operations and have an apt Work-from-Home policy defined, the technology gap in both the front end and the companies’ back-end operations came in scathing review , While BFSI institutions also had a WFH policy, there services were deemed to be necessary. Since people couldn’t line up outside banks, the banks had to keep their technology fine-tuned to assist their customers in these testing times.

Most modern web applications are heavily reliant on persisting data with relational databases, and so it’s no surprise that a large part of application performance monitoring relates to keeping an eye on database performance to ensure that our SQL queries are as efficient as possible. With this in mind, Scout features a Database Addon module, and in this video we are going to take a closer look at what it has to offer.

IT teams face many visibility challenges due to the massive shift to remote work due to the Coronavirus outbreak. This includes the variability of home network environments, reliance on SaaS and cloud applications, the unpredictability of Internet transport, and higher congestion than ever before. How do you overcome these monitoring challenges?

Ten years ago, Amazon found that every 100ms of latency would cost them roughly 1% in sales. This is a pretty clear statement on the importance of user experience! It’s especially true in today’s ultra-competitive market where the cost of switching (to another provider) for consumers is lower than ever. And one of the most common performance issues in serverless architectures is related to elevated latencies from services we depend on.

I work at Iforium, an eGaming company based on the Isle of Man, where — for the past three years — we’d been using Sensu Core to monitor our infrastructure. Earlier this year we began our migration to Sensu Go. In this post, I’ll share a bit about our journey, offering some background on Iforium and our technical stack, our monitoring pain points, and our take on Sensu Go so far.

Exoprise recently updated the CloudReady SharePoint sensor for monitoring SharePoint Online and SharePoint 2019 Server. At the same time we separated the CloudReady OneDrive sensor to better segregate the crowd. This was a feature request that customers had been asking for. For both sensors, we upgraded the browser, improved the bandwidth (throughput) tests and a number of other enhancements. Read on for more information about new features and enhancements.

When it comes to “business as usual,” the workflow of IT teams today likely looks quite different than it did even a few months ago. Because of this, being able to adapt and put new safeguards in place that ensure uninterrupted business operations is more important than ever. In fact, it’s a necessity.

Our client is one of the biggest oil and gas conglomerates in India, contributing to around 75% of Indian domestic production. They have been in business for over 60 years, currently employing around 30,000 people. With decades of growth, they have entered into different ancillary companies and expanded globally. The expansion has led to several offices, branches, desks, and teams spread across geographies.