If your organization is embracing cloud-native practices, then breaking systems into smaller components or services and moving those services to containers is an essential step in that journey. Containers allow you to take advantage of cloud-hosted distributed infrastructure, move and replicate services as required to ensure your application can meet demand, and take instances offline when they’re no longer needed to save costs.
Extended Berkeley Packet Filter (eBPF) is an exciting technology that provides secure, high-performance kernel programmability directly from the operating system. It can expose a wide range of applications and kernel telemetry that is otherwise unavailable. But with operating systems frequently processing very large volumes of network data, even with an efficient framework and cheap eBPF program runs, costs can add up quickly.
No matter how well-designed, flashy, or useful your application is for your target users, they may not take kindly to it being slow or, even worse, crashing once in a while. You will lose customers and revenue as a result. The solution is definitely not to add additional features to the application to bring back users. Instead, it’s as simple as paying close attention to the health of the servers where your application is hosted.
We are thrilled to announce that Mezmo has been recognized as one of the Top 20 Vendors for Managing IT Performance in 2022 by Digital Enterprise Journal (DEJ). This list was created in response to DEJ’s study, 24 Key Areas Shaping IT Performance Markets in 2022. DEJ analysts surveyed more than 3,300 organizations around a variety of topics to craft a comprehensive understanding of the state of these programs today.
We announced Cribl Search in May, and customer reaction has been incredibly positive. We’ve heard for some time that organizations have data everywhere. They have data in their observability lakes, analytics tools, object stores, and at the edge. The big challenge facing enterprises is that existing search models require you to take all of this data that you don’t know is valuable or not, move it into one place, and then make decisions about whether this is valuable?
The Machine Learning team at Splunk has been hard at work over the last several months preparing for a few exciting launches at.conf22, held just a few weeks ago. Splunk customers want to leverage machine learning (ML) in their environments, but many aren’t sure how to use it, or even how to get started.
OpenTelemetry (also known as OTel) is a popular open-source framework used to generate telemetry data for traces, metrics, events and logs. In this guide, we are going to cover the best observability and application performance management tools that can be used alongside OpenTelemetry to transform telemetry data into responsive reporting dashboards.
According to the 2021 test automation report, more than 40% of companies want to expand and invest their resources in test automation. While this doesn’t mean manual testing is going away, there is an increased interest in automation from an ROI perspective – both in terms of money and time. After all, we can agree that writing and running those unit test cases are boring.
