Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes has become the de facto standard for cloud-based applications. As companies migrate more and more workloads, ensuring reliable connectivity and performance are critical not just for user applications but also for the cluster itself. In this article, we will discuss how augmenting your system monitoring with in-cluster synthetic testing can give you proactive indicators that something might be headed for trouble.

One of the significant features announced with InfluxDB IOx is native SQL support. Even if SQL isn’t the lingua franca of the computing world, there are no doubt those that could make a case for it. There seems to be some dialect of SQL in virtually every corner of the internet.

The best part of my job is talking to you, our prospects, and customers, about your logging and data practices. I love listening to what you are doing and hope to accomplish, so I can get a sense of the end state. My goal is to brainstorm solutions that provide overall value across the enterprise, and not just aim for a narrow tactical win with limited impact. In late September, I hung out at a local DevOps conference in Brooklyn with the NYC Cribl sales team.

October has, as usual, been a busy month, and Sysdig announced many new features. In Sysdig Monitor, we announced the release of four new Advisories and Yaml config support for Advisor. In Sysdig Secure, we released Severity filtering in Insights, Pod and Node activity view in Insight and four new Falco rules added to the Rules Library. Each of these are discussed in detail below.

For several decades, IT monitoring has been deployed in different forms. The focus of IT monitoring has been to gather metrics about the operations of an IT infrastructure’s hardware and software assets to ensure that all the key functions are being performed as expected to support applications and IT services. In the recent past, the term Observability has been used as a synonym for “modern monitoring”.

The absence of topology can be a key inhibitor for AIOps tools, creating blind spots for AIOps as they only have access to event data. A topology, an IT service model, or a dependency map is a real-time picture of tools and services that are connected and dependent on each other to deliver an IT service. Suppose an application is driven by cloud-native technology, connected with any kind of ephemeral systems (containers and microservices), and relies on storage, database, and a load balancing tool.

Brand loyalty might be on the decline, but ecommerce is on the rise. Ecommerce is on track to account for 24% of global retail sales by the end of 2026. Source: Statista And as businesses reach growth limits in their local markets, the industry is seeing more ecommerce brands expanding onto the global stage. 76% of online shoppers have made purchases on sites outside of their own countries.

For many organizations, making the most of the visibility Datadog offers into the health and performance of their infrastructure means displaying dashboards to stakeholders in various settings continuously and in real time. But the standard solutions for sharing dashboards to large-format displays can be onerous, involving sundry software and hardware and restrictive manual setups. These solutions can also pose significant security risks, since they tend to involve sharing passwords or devices.

Asynchronous communication between various CX applications has long been made possible by enterprise messaging solutions like IBM MQ and – more recently – Apache Kafka. Developers might assume that these two technologies are interchangeable. However, once they scrape the surface, critical differences between IBM MQ and Apache Kafka come to light.