You work on your software’s performance. But let’s face it: production is where the rubber meets the road. If your application is slow or it fails, then nothing else matters. Are you monitoring your applications in production? Do you see errors and performance problems as they happen? Or do you only see them after users complain? Worse yet, do you never hear about them? What tools do you have in place for tracking performance issues? Can you follow them back to their source?

In part 1, we looked at an overview of auditing servers. In this blog, we’ll discuss which events you need to audit in your databases and file servers where sensitive data is stored. New data protection regulations and large-scale global attacks have made this more important than ever before. The main goal is to not only ensure that the accesses and modifications to sensitive data in your network are authorized, but also that file and column integrity are maintained.

We want to begin this post by thanking our long-time Uptime.com members for bearing with us through the transition to our new user interface. You have no doubt noticed the changes. The adjustments to the UI are small, but some important features are now in a different place. Our intent was a more intuitive design. Today, we’ll walk you through some of our most important decisions in this post. First, we’ll document some changes to be aware of.

Ahoy there. Continuous shipping: a concept many companies talk about but never get around to implementing. The first post of this three-part series discussed the importance of continuous shipping, while Part 2 steered us into the depths of the process itself. We’re all hands on deck for part three, where we’ll wrap up the second half of the continuous shipping process.

It’s 2am. You receive a notification from your monitoring tool. A host server ran out of space and your system is down. Now you need to get out of bed and clear the log files of whatever service has filled up your available disk space. Ugh. Now, imagine that an automated action is triggered, the log files are cleared, and your system is up and running again without requiring a single thing from you. Sounds cool, right?

Looking through our company Slack channels, we use GIFs to respond to each other a lot. We use the Giphy Slack app to quickly add a witty or sarcastic response to someone (we like each other really). And we also know that a lot of our customers use our Slack integration to receive alerts, because who wants emails. Then one morning, this conversation happened – where else – but on Slack.

You know what they say: “Nothing lasts forever.” That’s especially true of technology. And as much as you might have loved that flip phone, 486-based tower, or perhaps that original iPad, all good things must come to an end. Whether an unfortunate tumble destroys a once-shiny-and-new device, a system stops responding as snappily as it used to, or a support agreement ends, there are many reasons to move on from older tech.

Get a decent source code management system like Github, Gitlab or Bitbucket etc. Every one uses the same code and keeps upto date with base line. this reduces the merge conflict issues. Don’t put every thing in SCM but everything you need to do a build should be in there including: test scripts, properties files, database schema, install scripts, and third party libraries

It is 2 am in the morning and you get woken up by a phone call from the helpdesk team. The helpdesk is receiving a flood of calls from application users. A business-critical partner application, powered by Java, is reported to be slow and sluggish. Users are complaining that the browser keeps spinning and eventually all they see is a ‘white page’.

Building your monitoring landscape can be a hard task. The main reason for this is the sheer amount of available solutions. Even though, each of them has their own reason for existence. One challenge during the discovery phase is to find out if the tools you selected can work together. If they have integrations for each other or if they can use the same storage backend. OpenAPM aims to help you find out which parts can work together and how you may use them in combination.