Operations | Monitoring | ITSM | DevOps | Cloud

With the accelerating use of DevOps and cloud-native infrastructure, observability is all the rage. Organizations, large and small, are doing their best to make sense of the logs, metrics and traces generated by their applications to identify performance and availability issues. But what about the network? It seems that many organizations forgot that network telemetry has always been the foundation of any monitoring initiative relating to performance, security, or availability. In this Techstrong Learning Experience, Techstrong Research GM Mike Rothman is joined by Phil Gervasi and Rosalind Whitley from Kentik to discuss how network observability adds depth and context to any APM or security analysis environment. Mike also highlights data from a recent network observability survey done by Techstrong Research. In this learning experience, you’ll learn.

In this session, Tarun covers Sumo Logic Reliability Management (SLIs/SLOs)

In this Techstrong Learning Experience, Techstrong Research GM Mike Rothman and André Rocha, VP Product & Operations from ChaosSearch, will share insights from a recent Techstrong audience poll on this topic, and discuss the most pressing challenges and solutions, including the inevitable and significant impact of Generative AI.

Are you getting into something new? Starting a new project, or side hustle? Awesome, that's a big step! My best advice is to get real feedback from you system and actually look at it. Look at the logs, check your analytics. See what real people do. It makes all the difference in the world, there is a lot of phantom advice out there from people who are not actually your users.

Performance is an application monitoring platform built for developers to identify performance bottlenecks, identify their root cause, assign to the owner of the code, and fix. With workflows that trace performance issues from frontend to backend and identify exact line of code, Performance helps minimize time spent troubleshooting problems to maximize time spent coding new features.

Collective IQ is a Digital Employee Experience (DEX) solution that applies machine learning and artificial intelligence to understand the journey of local and remote users interacting with their devices and applications, generating visibility and insights for troubleshooting through continuous learning.

Unlock business success with Asset Management! Discover the power of Asset Management ROI and its impact on your bottom line. Measure value, reduce expenses, and make informed decisions to maximize returns. Watch the video to learn more! In this video, we dive into the world of Asset Management, a crucial component of corporate operations. Learn how Asset Management ROI quantifies the value gained from your investments in equipment, real estate, and inventory. Find out how it helps you assess efficiency, make informed decisions, and identify areas for improvement.

Venkateshan Veerappan, Tooling Leader and Senior IT Consultant, talks about how the MSP suite of ManageEngine helped their organization with their client audit requirements and also effortlessly adapt to remote management during the pandemic. Venkateshan shares his story of partnering with ManageEngine MSP products to meet all the needs that they have as a service provider.

With the widespread implementation of cloud infrastructure and the subsequent proliferation of resources across various hybrid platforms, IT teams often struggle to draw effective capacity plans and optimize infrastructure costs. A tailored strategic plan that manages and rightsizes IT infrastructure is the need of the hour. This way, organizations can enjoy increased visibility and scalability across varied deployments, as well as establish sustained cost savings.

Josh Mesout explores the complexities and challenges of adopting machine learning and artificial intelligence (AI). He discusses the struggle to embrace and understand these technologies, leading to a high failure rate. Mesout highlights the significant time spent on infrastructure engineering and the need for expertise across various disciplines. He addresses the difficulty in justifying ROI and the risks associated with machine learning. Civo introduces KubeFlow as a service to simplify machine learning, including lower pricing points, GPU Edge box, and partnerships.