Operations | Monitoring | ITSM | DevOps | Cloud

Today, InfluxDB Cloud is generally available on Microsoft Azure. Now you have the freedom to run the leading time series database on whichever you prefer: Microsoft Azure, Google Cloud or AWS.

The rapid pivot towards a remote workforce is forcing organizations to adopt a cloud-first approach faster than ever. We recently surveyed 500 IT decision-makers around the globe to ascertain their views on IT automation, cloud migration, and business continuity in the face of unexpected crises. The survey found that 87% of IT professionals agree that the current COVID-19 pandemic will cause organizations to accelerate their migration to the cloud.

If you’ve ever launched a startup, you know how hard it is to find funding. It’s a huge grind just to get from conception to execution without even worrying about profitability yet. But to attract an investor, you have to show consistent revenue growth to prove they will eventually see a return. Many, many startups fail before they reach a Series A. And the industry with the highest startup failure rate? The information industry, at 63%.

SAN FRANCISCO — July 22, 2020 — InfluxData, creator of the time series database InfluxDB, today announced that InfluxDB Cloud is now available on Microsoft Azure, furthering the company’s commitment to increase accessibility to developers. With this announcement, InfluxDB Cloud is now live on all three major cloud platforms — Microsoft Azure, Google Cloud and Amazon Web Services.

Managing servers isn’t always the most effective way to run an application. With serverless computing, teams can deploy applications directly to managed hardware, scale them on demand, and avoid the overhead of provisioning and maintaining their own infrastructure. As many as 40% of companies surveyed by DevOps.com use serverless computing. And serverless platforms like Azure Functions make deploying serverless questions quick and easy.

Serverless has been around for a minute now but it’s safe to say that it’s still in its infancy in 2020 and definitely has a long way to go. But serverless architecture is a major step away from to dependence on humans and towards reliance on machines. Are the machines already talking over? Not literally the “Terminator” movie scenario quite yet but is this the beginning of the end of an era in the world as we know it?

Aside from ensuring each service is working properly, one of the most challenging parts of managing a cloud-based infrastructure is cost monitoring. There are countless services to keep track of—including storage, databases, and computation—each with their own complex pricing structure. Monitoring cloud costs is quite different from other organizational costs in that it can be difficult to detect anomalies in real-time and accurately forecast monthly costs.

Since 2014 when AWS launched AWS Lambda and kickstarted the serverless movement, going serverless has grown exponentially for organizations of all sizes from one-man start-ups to huge listed global enterprises. While there are some challenges to this new architecture, the ways moving to serverless can transform a business often far outweigh these.