Operations | Monitoring | ITSM | DevOps | Cloud

As is often the case with digital products, your users could be experiencing issues you might not be aware of. The unknown unknowns could include random bugs or memory leaks slowing down performance and, in many cases, those issues aren’t reported… folks just bail. If uptime is a core tenet of your business success, unreported issues and users moving on to the next best thing isn’t an option.

In this blog post, I follow on from my previous blog on AWS CloudWatch Part 1 of 2 to explore how you can go beyond basic agentless CloudWatch monitoring by deploying the CloudWatch agent and some of the key information and planning you need to do this. I’ll also cover how eG Enterprise offers out-of-the-box functionality to avoid complex JSON scripting or tooling to implement monitoring.

Last week we had the pleasure of speaking to SQL Authority’s Pinal Dave to show him some of our favorite SQL Monitor features! Pinal has used – and been a fan of – SQL Monitor since it launched in 2008 (fun fact: it was named SQL Response back then). There are, however, some newer features that Pinal isn’t too familiar with, and we were delighted to introduce those to him.

Websites are an amenity packaged as a utility. If your site isn’t reliable and fast, users have options to replace it and they probably will. How you build your site and how you maintain it impacts your site’s success. Regardless of whether you’re launching your website, relaunching, or even rebranding, you don’t have to break the wheel to build a solid website that can withstand the traffic and growth of your enterprise.

Securing your SAP environments is critical to the operational success of your business. And SAP does a great job of trying to stay ahead of any vulnerabilities in their solutions by offering HotNews. As critical vulnerabilities are discovered, SAP weights their critical quality, declaring a level of severity and attributing a score - 10 being the most critical - along with a description and resolution of the patch.

Since our inception, Sumo Logic has been laser-focused on delivering real-time machine data analytics to accelerate digital transformation, while helping businesses effectively build, run, and secure their modern applications and infrastructure—in the cloud or in hybrid environments.

As an architect at SolarWinds, it's essential to work with our own monitoring tools as a form of quality control and source for innovation. As one of the largest players in the IT monitoring and management world, we're always thinking about ways to make it seamless for customers to work across our suite of tools. One of those tools I'll focus on today is SolarWinds® Loggly®—our log management and analytics product, which is also a part of our APM integrated experience.

It’s no secret that employee happiness and productivity often go hand-in-hand. But just how much impact does an employee’s happiness have on productivity – and is this a question that should concern IT leaders? It’s not exactly news that employees want to feel happy at work – but during the Great Resignation, we’re now seeing what lengths they’re willing to go to when they’re unhappy with their current employers.

Although time series data can be stored in a MySQL or PostgreSQL database, that’s not particularly efficient. If you want to store data that changes every minute (that’s more than half a million data points a year!) from potentially thousands of different sensors, servers, containers, or devices, you’re inevitably going to run into scalability issues. Querying or performing aggregation on this data also leads to performance issues when using relational databases.

Today, cloud native technologies empower a number of organizations to build and run scalable applications in public, private and hybrid cloud environments. Developer and operation teams can build and deploy applications, APIs and microservices architectures with the speed and immutability of containers. Gartner predicts that by 2024, more than 75% of large enterprises in mature economies will be using containers in production.