Operations | Monitoring | ITSM | DevOps | Cloud

Appfleet - an edge hosting platform that allows companies to easily deploy docker containers in multiple locations at the same time, improving the efficiency of business processes and reducing latency - is debuting on the market. Ultimately, this solution is to replace limiting and expensive serverless services, managed kubernetes solutions and complex multi-regional cloud deployments.

With governments and businesses requiring workers to stay and work from home during this unprecedented global pandemic, enterprises are now more dependent than ever before on real time collaboration tools like Microsoft Teams, Zoom, and Cisco WebEx. IT staff within these organizations are under pressure to provide their Sr. Management a level of assurance that these tools are working well in this scenario. But with workers running devices IT doesn't own over networks they don't control means IT needs innovate quickly and find tools that can help them and help them fast.

Here at Raygun, improving performance is baked into our culture. We don't just think about our application performance, but more broadly, we look at our own infrastructure and ask if there's anything we can do to make it more performant for our business and for our customers. Two years ago, we switched our API from Node.js to .NET Core and achieved a 2000% increase in throughput. To continue that story, we recently upgraded .NET Core 2.1 to 3.1 and saw a 12% increase in performance. We enjoy presenting our performance findings, so in this post, we'd like to give some context into why we upgraded and the conditions that helped us achieve the 12% performance lift.

Today we hear from Dmitriy Akulov - serial entrepreneur, technologist and founder of several IT startups & companies including jsDelivr, PerfOps, and more recently, appfleet.

The day has come. After 10 years of running an uptime monitoring service, of which three years we spent in rewriting of the service. The new Monitive codename "Freyja" is ready for the world to use.

Raygun helps thousands of software teams diagnose and resolve performance problems faster and more efficiently. We understand that in today's current climate, there is even more pressure on teams to ensure software quality across the whole stack, all while being cost-effective. It's no easy task! But we know that consolidating tools can help.

Exoprise released its long awaited Teams Audio Video Conferencing sensor. This sensor fully tests Audio/Video end-to-end capacity, throughput, and network performance through the actual underlying Microsoft Teams and Azure infrastructure. The Teams AV sensor provides deep insight into a network's capability to handle the Teams/Skype Unified Communications (UC) platform. Desktop, Collaboration and Network administrators can now easily diagnose and proactively plan a Microsoft Teams rollout and migration.