DevOps and SRE

BigPanda supports DevOps and SRE models

BigPanda makes it easier for organizations to transition towards distributed operations without compromising on centralized visibility and consistency. By enabling role-based views and collaboration across incidents, BigPanda streamlines the process of investigating and resolving incidents and outages, improves service availability and gives teams time back to work on projects that move the business forward.

Adopting DevOps and SRE models

Organizations are adopting DevOps and SRE models to increase software release velocity and achieve high system availability. But for most enterprises, this transition can be disruptive.

To effectively manage service availability, IT Ops and NOC teams must share a unified view of applications, systems and infrastructure, a common set of tools for collaboration and communication, and a centralized strategy for managing alerts and events across the environment.

The problems created by adopting DevOps and SRE models

New models are disruptive

Problem

The transition to DevOps and SRE models is hard and can take several years

It is difficult to create consistency in tools and processes when functions of IT Operations are distributed. Enabling a separate Development org structure to take on operations is extremely difficult, requiring a different set of skills, modified workflows, tools. It’s not as simple as taking a Developer and adding Operations to their function.

Negative impact on your business:

Increased operating costs, and performance and availability problems: Frequent and/or long-lasting outages resulting from different Ops teams (IT Ops, NOC and DevOps/SRE teams) not having consistent tools and processes increase downtime costs.

BigPanda’s solution

BigPanda makes it easier for enterprises to transition to DevOps and SRE models

BigPanda makes it easier for enterprises to gradually transition towards distributed operations, without compromising on centralized visibility and consistency. This is done by providing both centralized IT Ops and NOC teams, and DevOps teams, with role-based views (environments). This ensures that each team has visibility into the incidents that matter the most to them. Auto-sharing allows DevOps-specific incident information to be shared with DevOps teams in their tools of choice.

Positive impact on your business:

Decreased operating costs, and improved performance and availability problems: By putting IT Ops, NOC, DevOps and SRE teams on the same page, BigPanda reduces the frequency and duration of outages, which in turn reduces downtime related costs.

Siloes = blindspots

Problem

Fragmented, siloed tools prevent full-stack visibility

For DevOps teams to successfully build and operate their applications, they need full-stack visibility that includes networks, servers, applications and clouds. But most DevOps tools are siloed and can only provide visibility into application-specific performance. The actual health of an application is buried in monitoring alerts, changes and topology data spread across 15+ monitoring tools, and six or more change feeds and topology sources.

Negative impact on your business:

Increased operating costs, and performance and availability problems: Because of the lack of full-stack visibility, expensive DevOps and SRE resources must waste valuable time investigating and resolving incidents and outages.

BigPanda’s solution

BigPanda gives DevOps and SRE teams full-stack visibility

BigPanda’s Open Integration Hub brings together monitoring alerts, changes and topology data from the entire IT stack into a single place. The Ops Console and the Realtime Topology Mesh then provides DevOps teams with visibility into layers of the stack that are normally not available to them (network, servers, applications, cloud, etc.)

Positive impact on your business:

Reduced operating costs, and improved performance and availability: By gaining full-stack visibility, expensive DevOps and SRE resources waste less time investigating and resolving incidents and outages. This reduces operating costs and improves performance and availability.

Change can’t be avoided

Problem

DevOps teams can’t slow down to assess risk of each change generated by their CI/CD pipelines

DevOps teams adopt CI/CD practices and release new features constantly. This means their environments experience thousands of changes on a weekly basis. Any one of those changes can cause an incident or outage. Because release velocity is critical for DevOps teams, it is impractical for them to assess the risk of each of those thousands of changes every week. That leaves the IT Ops teams scrambling to figure out what changed when an outage occurs.

Negative impact on your business:

Increased operating costs and decreased availability and performance: Because it takes a long time to identify the one change out of thousands (generated by CI/CD pipelines) that caused an incident or outage, incidents and outages stay unresolved for a long time. This increases downtime-related costs And because app performance and availability suffer, MTTR is high.

Decreased business velocity: DevOps teams generate thousands of changes every week, some of which cause incidents & outages. But they can’t slow down and assess the risk of each change – given that there are thousands of changes – because that slows down business velocity.

BigPanda’s solution

BigPanda lets DevOps teams rapidly identify problem changes

By ingesting and processing the thousands of changes generated by DevOps teams releasing new features and updates constantly, and then analyzing them against incidents and outages detected in your environment, BigPanda identifies root cause changes. DevOps teams can investigate these changes and rapidly fix or roll them back, preserving release velocity and stability.

Positive impact on your business:

Reduced operating costs, and increased availability and performance: By rapidly identifying problem changes – aka root cause changes – BigPanda helps DevOps teams quickly resolve outages, preserve release velocity and reduce downtime. This decreases downtime-related costs and improves app performance and availability.

Increased business velocity: DevOps teams relying on BigPanda never have to slow down, and can continue to release new features and enhancements at the pace that’s best for the business.

This is the face of

Find out how BigPanda helped Bungie, a leading game studio, eliminate their reliance on manual monitoring and reduce IT noise by 99% compression rate – turning 3000 noisy alerts into 35 actionable tickets

So, what are you waiting for?