Operations | Monitoring | ITSM | DevOps | Cloud

Have you ever had to purchase a CPU or a GPU? If so, you have probably come across the term “bottlenecking”. There is a certain threshold where output exceeds ability to process, and that can prevent optimal system functionality. One of the methods used in computing to overcome these bottlenecks is multi-threading, where requests are processed simultaneously by multiple threads. We can apply a similar principle to downtime monitoring.

When monitoring network performance, the metric that we most commonly hear about is Speed. Everyone wants to know how fast their network is performing, but what if you need more detail? Keep reading to find out how to monitor network speed and more using Network Monitoring.

In cases, when a crash happens in your Android application, you want more context on what occured before the issue — kind of like following breadcrumbs to the exception. Our SDKs automatically report breadcrumbs for activity lifecycle events, system events, HTTP requests, and many more. Now, Android developers will also see UI events listed as breadcrumbs and get the full picture of what happened without ever having to recreate the issue.

With the aim to cut down development cycles and time to market, increase the frequency of deployment and ensure high-quality software releases, it is no surprise that DevOps has come to be a popular approach to application development.

Gartner introduced the word ‘AIOps’ back in 2017, and ever since, the enterprises have been adapting to the various strategies to streamline their IT operations. AIOps is a successful venture because it meets the challenges and tackles the amount of data created in the tech infrastructures amid complex architectures.

We live in a world that becomes more connected with each passing day. Public cloud hosts like Amazon Web Services (AWS) provide platforms with a wide array of capabilities that quickly scale based on demand. As a result, we’ve seen an explosion of new applications and services that continue to change our daily lives for the better. Data is a critical component of all of these systems. They can ingest vast amounts of data, process or transform it, and then pass it on.

Loggly is a feature-rich log management platform that also offers a wealth of features including automated log summaries, custom derived fields, unlimited users, search & filters and email alerts. Loggly is often used to solve a variety of logging use cases including handling Meteor, Java, IIS, Docker and Apache logs.

OpenTelemetry enables Observability, and building observable systems requires you to understand the various ways in which they can fail. Jumping from one possible fix to another and one change to another without fully recognizing the impact on the system can be a significant hindrance to a successful customer experience. In this post, I’ll explain how to get started with OpenTelemetry to help you make your systems more observable.