Operations | Monitoring | ITSM | DevOps | Cloud

To find out more about cloud migrations, the pitfalls that await the unwary, and what the security implications are, I recently sat down with Dustin Dorsey, Systems & Data Architect at Biobot Analytics, based in Cambridge, MA. In the first post in this series, we talked about cloud providers being responsible for security ‘of’ the cloud, while their clients are responsible for security ‘in’ the cloud.

This month, we were thrilled to welcome SquaredUp customers from all over the world to our in-person workshop in sunny Marlow, UK. It was a wonderful day of learning and sharing ideas, and a unique opportunity for SquaredUp users to meet the people behind the product (us!), network with like-minded customers, and get an exclusive look at the latest product updates. We were excited to showcase our Dashboard Server product roadmap and share our vision for the future of SquaredUp.

InfluxDB and Kafka aren’t competitors – they’re complimentary. Streaming data, and more specifically time series data, travels in high volumes and velocities. Adding InfluxDB to your Kafka cluster provides specialized handling for your time series data. This specialized handling includes real-time queries and analytics, and integration with cutting edge machine learning and artificial intelligence technologies. Companies like as Hulu paired their InfluxDB instances with Kafka.

Application Performance Monitoring (APM) is a technology approach that provides real-time information about how your software applications are performing. With a comprehensive view into application health and availability, APM can do things like: Both the importance and the usage of APM has grown in recent years. That’s because companies rely on increasingly complex applications to run their businesses. Here is what you need to know about Application Performance Monitoring.

Elastic® SQL inputs (metricbeat module and input package) allows the user to execute SQL queries against many supported databases in a flexible way and ingest the resulting metrics to Elasticsearch®. This blog dives into the functionality of generic SQL and provides various use cases for advanced users to ingest custom metrics to Elastic®, for database observability. The blog also introduces the fetch from all database new capability, released in 8.10.

The challenge for every organization is gathering actionable observability information from all your systems, in a timely manner, without creating a substantial operational burden for the teams managing the collection tooling. While each observability solution has its unique benefits and challenges, the one common burden expressed by teams is the management of the metadata of the metrics, traces, and logs.

Do you want to build software faster and release it more often without the risks of negatively impacting your user experience? Imagine a world where there is not only less fear around testing and releasing in production, but one where it becomes routine. That is the world of feature flags. A feature flag lets you deliver different functionality to different users without maintaining feature branches and running different binary artifacts.

Technological advancements in telecommunications are keeping everyone on their toes, as communication service providers (CSPs) obsess over the next big thing to roll out and change the way the world communicates, stays informed, manages its daily lives, and more.

Apache Tomcat, developed by Sun Systems way back in the late 1990s, is a popular choice for developers who need to build and deploy Java-based web applications. It’s a collaboratively created platform that, since 2005, has become an accredited top-level Apache project with highly experienced developers volunteering support and resources for it. A 2022 survey shows that 48% of developers now utilize Apache Tomcat for deploying Java web applications.

The vast majority of MSPs in the world are under $2milion in revenue. Breaking through that barrier is not easy. As part of our business transformation program, we see a large number of MSPs that have been going for more than 10 years but can’t seem to push through to the next level. Often these MSP businesses are stuck in the $800k-$2M turnover range with around five to 15 techs working for them.