The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Happy New Year 2022! In 2021, Exoprise’s critical focus was on improving its product for monitoring digital experiences and mobilizing internal teams to improve customer adoption and SaaS/network experiences everywhere. As Covid continues to dominate the world, IT and business teams are increasingly looking for solutions like Exoprise Digital Experience Monitoring (DEM) to ensure end-users are productive with a seamless work-from-home experience.
Application Performance Management (APM) measures how a SaaS or Web application performs on the backend (for Devops). End-User Experience Management (EUEM) focuses on user behavior within those applications. Network Performance Monitoring and Diagnostics (NPMD) collects network telemetry to facilitate performance degradation. DEM combines all these tools to holistically look at the entire digital journey and see how each dependency drives successful experiences for customers and employees.
Complex enterprises have an integration infrastructure (i2) layer that connects technologies and applications across cloud, data center, virtualized systems, mainframe, edge computing, etc. The i2 layer includes a core middleware application (such as IBM MQ) along with many other "integration" technologies, such as MFT (managed file transfer), IoT, REST APIs, DataPower Gateway, and other messaging technologies (i.e., Kafka, TIBCO EMS, IBM ACE, IBM Integration Bus (IIB) and more).
LogDNA is always looking forward and constantly developing new and innovative solutions to the problems developers and enterprises face as they manage their logs and data. Here’s a recap of our latest product releases and info on how you can get your hands on them.
The success of your enterprise’s digital transformation relies in no small part on your hybrid cloud infrastructure, which SearchCloud Computing defines as “a cloud computing environment that uses a mix of on-premises, private cloud and third-party, public cloud services with orchestration between these platforms.” Because this infrastructure is not a homogeneous environment, migration, management, and optimization can be an ongoing challenge.
It’s harder to understand and operate production systems in 2021 than it was in 2001. Why is that? Shouldn’t we have gotten better at this in the past two decades? There are valid reasons why it’s harder: The architecture of our systems has gotten a lot more sophisticated and complex over the past 20 years. We’re not running monoliths on a few beefy servers these days.
AIOps myths and how to avoid them Gartner coined the term AIOps in 2016 to refer to the combining of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection and causality determination.” In the five years since, AIOps has grown leaps and bounds — last year, AIOps was at the peak of the Gartner hype cycle.
