Operations | Monitoring | ITSM | DevOps | Cloud

October 2018

Machine Learning CAN Help Your NOC Win the Battle

Rapidly increasing IT complexity, customer expectations around application availability and performance, and the importance of supporting new digital initiatives and services, taken together, are placing unprecedented demands on Network Operations Centers (NOCs) and IT Operations teams inside large, complex organizations like yours.

Machine Learning CAN Help Your NOC Win The Battle...Just Keep These 5 Things In Mind

Before you arm your own NOC with machine-learning tools, you should be aware of - and avoid - five common problems you’re likely to encounter. Join NOC and IT Ops veterans from BigPanda as they discuss these common - and potentially crippling - problems.

Have we discovered the secret sauce for successful offsites?

Offsite meetings can be great for getting things done. Being out of the office can clear the cobwebs, break down barriers, and lead to real breakthroughs. At BigPanda, the marketing team has started experimenting with how we run offsites, with the aim of trying to find a “secret sauce” that leads to success – maximizing both team building and task execution that we tackle in our offsites.

Unsung IT Ops and DevOps heroes are finally getting their due!

IT Ops and DevOps teams in every organization are capable of focusing on revenue-generating initiatives and projects. Unfortunately they’re held back by constant fire-fighting…which means they are reduced to supporting just the current state and existing/legacy applications and services.

It's Time to Start Talking about Digital Operations

IT operations teams have some of the most stressful jobs in IT. Keeping data centers online, servers running, enterprise systems functioning, and applications performing — all while responding to incidents and requests is hard work. While there are monitoring systems in place to provide visibility and change management practices give IT some control over the network and environment, IT operations teams constantly feel like they are fighting a losing battle.