Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

How Acquia helps customers deliver "moments that matter" with observability

Acquia is the open source digital experience company that empowers the world’s most ambitious brands to embrace innovation and create customer moments that matter. In this session, Acquia shares its journey to observability, moving from a fragmented and siloed state of monitoring to a sustainable model for observability. Learn how Acquia worked with Sumo Logic to improve the user and developer experience by

Setting Up and Tuning Amazon S3 as a Cribl Stream Destination

Everybody is starting to look more at object storage to deliver on data lake initiatives, and S3, specifically Amazon S3, is the gold standard for that. In addition, we’ve heard from many of you that setting up S3 as a destination is a must when starting with Cribl Stream. So in this article we’ll walk you through the setup.

Introducing Nexthink Infinity

Today is one of the most special days in Nexthink history. I personally believe that founding and growing a tech company is mainly about developing amazing technologies which have the potential to change how people work. With the launch of our new Infinity platform, I feel we are truly transforming how digital workplace teams get their jobs done—not only for themselves but for all the employees in their companies.

Relational Databases vs Time Series Databases

Databases are often the biggest bottleneck when it comes to application performance. Over the years a number of new database designs have emerged to help with not only basic scalability and performance but also to help improve developer productivity and make building certain types of applications easier. That isn’t to say these new databases are magical — there are always trade-offs being made and certain things are sacrificed for gains in other areas.

Part 4: Causal Observability - Level 3

It’s not surprising that most failures are caused by a change somewhere in a system, such as a new code deployment, configuration change, auto-scaling activity or auto-healing event. As you investigate the root cause of an incident, the best place to start is to find what changed. To understand what change caused a problem and what effects propagated across your stack, you need to be able to see how the relationships between stack components have changed over time.

Integration with Apache Kafka

You can integrate Edge Flow Manager (EFM) with Apache Kafka and forward agent heartbeats to defined Kafka topics. Learn how to perform the integration with Apache Kafka. To integrate EFM with Kafka, you need to configure Kafka and EFM properties. EFM supports the forwarding of agent heartbeats and acknowledges messages exchanged on the C2 protocol between the EFM server and MiNiFi agents.