On this episode of Exception Perceptions, Katy Farmer, InfluxData’s Developer Advocate, tells us all about Kubernetes (also known as K8s). Watch the episode, and then accompany Katy on her journey to uncover the “captain” of containerization’s secrets.
See how AppDynamics' diverse partner ecosystem helps action and automate IT tasks through incident response, event correlation, workload optimization, and communication facilitation.
AppDynamics has been empowering Agents of Transformation since the day we were founded, and with Cisco, our ability to inspire change has been multiplied. Read more about our vision for AIOps.
AppDynamics’ new serverless agent for AWS Lambda helps our customers running serverless microservice workloads gain visibility and insight into the performance and impact of their applications.
Cisco ACI-AppDynamics integration helps business-critical applications run flawlessly. By providing deep visibility and powerful correlation across the application and network, this seamless interaction enables teams to deliver a positive end-user experience.
Cognition Engine extends AppDynamics’ leadership in machine learning and automation for APM, helping customers achieve the quickest route to remediation and optimization.
I am embracing managed Kubernetes services and here’s my journey. While I attended KubeCon 2018 ready to soak up all I could about Kubernetes and the cloud-native ecosystem, I sought to learn as much as I could to aid me in running my clusters day to day. More importantly, though, I experienced a fundamental shift in what I see as the future of Kubernetes, and what getting started in Kubernetes looks like for companies today.
Forty-three percent of application performance problems occur because of an issue in the application code, according to a DZone study. Code-level issues include bugs in the code constructs, such as long waits, poor iterations, inefficient code algorithms, unhandled exceptions, bad choice of data structures, etc. Developers and application owners need code-level insight, so they can pinpoint issues in the code and fix them before users notice.
