Operations | Monitoring | ITSM | DevOps | Cloud

Just about everything you interact with digitally is enabled by the cloud. Whether you’re doom-scrolling on Instagram, binge-watching on Netflix, ride-hailing on Uber, or downloading super-cool cloud podcasts (hint, hint) on Spotify, you’re using the cloud. But most people don’t have any idea what the cloud is, where it came from, or what we, as a species, spend on it.

For Amazon to survive, they needed the cloud. But they had to invent it — and creating the cloud meant overcoming obstacles fundamental to the nature of software development at the time.

An easy way to understand what the early cloud did is to think of it like a public utility. The same way buildings depend on a common set of utilities — gas, electricity, and water — software projects depend on a common set of services: compute, storage, and database. “Compute” refers to the power it takes to run the software.

Your Apache HTTP server access and error logs contain a wealth of actionable insights about potential server configuration and web application issues. The problem is that this information is hidden within millions of log messages, so you need analytics to efficiently extract these insights so you can respond to problems before they impact your users. Apache log analysis revolves around two activities: monitoring and troubleshooting.

DevOps teams are used to working with data that is spread out across lots of different systems and environments. In organizations that have achieved tight collaboration with security teams to transition to DevSecOps, this is even more true! Log management is part of how all these teams keep track of information and make vital business decisions. It’s important to take a moment to understand what is meant by log management.

Cyber crimes are expected to cost the world roughly $10.5 trillion per year by 2025, according to Cybersecurity Ventures. And these attacks don’t just cost money. Businesses impacted by these kinds of crimes can expect to experience not only financial losses but also loss of productivity, damage to their reputation, potential legal liabilities and more.

Faced with an important business decision? Do you have the data you need to make it? Odds are, you probably don’t. Or, if the data is captured somewhere, can you count on it being in one place and easily accessible? This is a common issue, easily solved by proper log management. This practice is vital for data-driven businesses, helping you maintain security, troubleshoot operations more quickly and enhance user experience.

We are excited to announce the latest release of our Rollbar SDK for Apple, version 3.0.0. This release includes several new features and enhancements to improve the functionality and performance of our error tracking and debugging platform.

While network automation tools can help infrastructure and operations (I&O) teams improve their agility, lower their costs, and reduce the risk of manual errors, network management stubbornly remains a largely manual process. According to a recent Gartner report, less than 35% of enterprise network activities are automated today, forcing enterprises to run largely using a ClickOps model.

MSP Automation was the main focus of our recent webinar, which covered how Managed Service Providers can transform the scalability of their businesses by removing the headaches of manual request processing. The webinar was widely attended by enterprise IT staff too , particularly those with an ethos of delivering an experience (rather than a service level). The same principles apply, so here’s an overview of what was covered during the session.