Operations | Monitoring | ITSM | DevOps | Cloud

Many applications use multiple types of datastores simultaneously - mixing SQL and NoSQL databases, for example. Or your application might need two separate clusters of the same database engine to handle an upgrade, or to support separate services. This is where Multi Database Support comes handy. What is Multi Database Support? Multi Database Support makes it possible to attach more than one database group to your application.

Public and hybrid cloud has led to a new era of agility, scale and performance, particularly for the networking that underlies enterprise applications. Yet, more than 80% say their network monitoring hasn’t kept up with major problems that need to be solved. A new approach is required – it’s network observability. Join Kentik co-founder and CEO Avi Freedman as he discusses how to reduce networking issues and risks while continuing to allow your organization to innovate at the speed of cloud.

Enjoy this product demo that highlights a subset of new capabilities from PagerDuty's Summit 2021 Product Launch as well as some of PagerDuty's core capabilities within a retail industry IoT use case workflow.

For your GitOps strategy to be successful, you will need to deliver more than just a tool plugged into your CI pipeline. This video shows how you can deliver on the topics above.

Learn how to easily schedule automated backups of network device configuration from routers, switches, firewalls, etc., with Kiwi CatTools and significantly speed up your recovery time in case of network failure without the hassle of rewriting a bunch of inline code.

Today’s distributed, cloud-based environments are incredibly complex. Not only does each component depend on many others, but modern systems are also highly dynamic—changing frequently as teams push new code or make updates to infrastructure. Taming this complexity to ensure reliability requires end-to-end observability to understand how components depend on each other. Additionally, proactive Chaos Engineering combined with AI-driven observability lets you uncover “unknown unknowns” that impact how your system will respond to different failure scenarios.