When you deploy a new Rails app, you typically face a double-bind. If you use an easy platform like Heroku, you could create problems for yourself as your application scales. If you use a more fully-featured platform, you risk wasting time on ops that could be spent on your product. What if you could have both: an easy deployment option that is easy to scale?
Push notifications are an important aspect of the Mattermost user experience on mobile. When important messages come in, many users like to be notified on their mobile devices so they can respond quickly. Mobile push notifications make it easier for users to stay informed or take faster action while on the go. When it comes to mobile data privacy, many organizations prioritize secure handling of messaging data, particularly when it may contain mission-critical or proprietary information.
It starts with one call. Then another user opens a ticket reporting sluggish laptop performance. One more call comes in, then a few more similar incidents and service requests. By the time the Help Desk Agent can see the bottom of that first cup of coffee, a bigger problem is evident, but not quite yet visible.
As a team that does pure serverless, we place a lot of emphasis on fast deployments. Lately, though, as our codebase has gotten larger, and the number of interactions between the microservices has increased, we have come up against the classic problem of excessively long test execution times in our serverless continuous integration.
COVID-19 is forcing many teams into crisis mode, as they rush to meet customer and employee needs in our new socially distanced reality. Organizations with experienced crisis management teams are urgently adding capacity and adapting to distributed working models. And those who haven’t built crisis response teams before are grappling with how to rapidly train employees and get access to the right tools.
COVID-19 is and will be the talk of the town due to its large-scale social, humanitarian and economic repercussions, but how can it affect a company’s systems? Many employers find themselves in the need to offer their employees remote working options, which means leaving the offices empty without actual machine supervision, which calls for a remote monitoring software to monitor their systems.
Distributed tracing is great — it helps you identify (micro)services within complex architectures having issues interfering with user experience, such as high latency or errors. But once a problematic service is identified, it can be difficult to find out which methods are to blame for the slowdown. Well, we have some big news to share for our Elastic APM users within the Java ecosystem.
