Operations | Monitoring | ITSM | DevOps | Cloud

Testing is vital because it helps you discover bugs before you release software, enabling you to deliver a high-quality product to your customers. Sometimes, though, tests are flaky and unreliable. Tests may be unreliable because of newly-written code or external factors. These flaky tests, also known as flappers, fail to produce accurate and consistent results. If your tests are flaky, they cannot help you find (and fix) all your bugs, which negatively impacts user experience.

Is my service desk investment paying off? Is my service desk delivering true business value? Are we incurring costs that are not under control? Are we able to leverage the service desk beyond IT use cases? If your current ITSM solution makes you question its true value and reliability, are you even using the right ITSM tool? We don’t think so! Let’s get one thing straight. We don’t advocate a one-size-fits-all approach.

I’ll be the first to admit one of my weaknesses is public speaking. I spend hours before a training session, online seminar, or live event rehearsing exactly what I want to say and how I want to say it. But all my time spent practicing an engaging presentation only mildly prepares me for the moment I’m in front of others and it’s my time to speak.

Have you ever deployed a new application that ran fine at first, then slowed to crawl as more and more data was added? Or tried to run a report that took minutes or even hours to come back? Database performance is a frequent bottleneck for many applications, and in this post you’ll learn about a critical aspect of database performance—indexes.

Azure Functions are great for running bits of processing on a trigger without having to worry about hosting. Recently, I needed to debug an Azure Function—I needed to hunt down a particularly evasive bug that wasn’t showing up in the unit and integration tests. As it turns out, debugging an Azure Function isn’t as trivial as simply running the debugger in Visual Studio. Instead, it requires some setup to replicate the environment and configuration typically available in Azure.

Trust isn’t given, it’s earned. As the Russian proverb advises, Доверяй, но проверяй — or as U.S. President Ronald Reagan liked to repeat, “Trust, but verify.” We designed JFrog Pipelines to securely support a large number of teams, applications, users and thousands of pipelines.

At Catchpoint, our award-winning support team aims to be a partner, not just a gateway to the tool. Earlier this month when UltraDNS, a major DNS provider, went down, they found themselves faced with nine support tickets within one hour. Our customers were experiencing outages on their websites and online services. They needed urgent help from Catchpoint in understanding what was causing the disruption, so they could quickly resolve the situation.

At Adyen, we use Elasticsearch to power various parts of our payments platform. This includes payment search, monitoring, and log search. Let’s take a look at how we use Elastic for these different use cases and see how we capitalize on the power of Elasticsearch. We recently did a talk about some of our Elasticsearch adventures at an Elastic meetup. You can find a recording here.

In the digital age, the speed and performance of apps and websites have a huge impact on the customer experience. To ensure a high level of quality, Application Performance Monitoring (APM) refers to the process of tracking the performance and availability of software systems. Let’s look at what Application Performance Monitoring is, how AI and machine learning are being applied to stay ahead of the competition, and several real-world use cases.