Operations | Monitoring | ITSM | DevOps | Cloud
Say goodbye to guessing: Introducing Automatic Incident Triage by BigPanda
Low MTTR is the much-desired nirvana-state in IT Operations. One of the most painful parts of the incident management lifecycle, which prevents the achievement of this nirvana, is triage: the time it takes first incident responders to determine the next action when facing a barrage of IT incidents. Why?
BigPanda Automatic Incident Triage
How to speed up incidents with a lot of cooks in the kitchen
In one of our recent webinars we discussed a substantial challenge IT Ops teams face in today’s complex IT environments: defining and clearly communicating incident/operational roles and processes, in an effort to create a well-coordinated incident management lifecycle. This lifecycle is essential for restoring service as quickly as possible when disruptions occur. Following are the highlights of that discussion, also recently published in an ApmDigest article.
How to use BigPanda together with your observability and monitoring tools
IT Ops tax: Death by a thousand cuts
IT Ops tax: Death by a thousand cuts
There are many hidden costs in running sub-optimal IT operations, that most organizations don’t consider. Enterprises often look at service downtime as their only KPI, but that is really only the tip of the iceberg. Without a properly operating incident management lifecycle, enterprises tend to support poorly performing services instead of fixing them.
Can enterprises move fast without breaking IT?
In one of our recent webinars we discussed a challenge in digital transformation that is top of mind for many IT Ops leaders: how to actually transform with the least amount of pain… No matter how tired people are of the term “digital transformation”, it still represents an imperative strategy for enterprises wishing to survive in today’s dynamic business environment, let alone see growth and increased market value.
Streamlining IT Operations with BigPanda and ServiceNow
Does the following sound familiar? You have a complex, hybrid and dynamic IT stack – with your cloud infrastructure changing by the minute and your container infrastructure changing by the second. Your monitoring and observability tools provide excellent visibility into your infrastructure, your applications and your services, but the dynamic environment in which they operate causes them to generate large volumes of heterogeneous machine data, with thousands of alerts a minute.
