Turn any signal into insight and action. See how PagerDuty Digital Operations Management Platform integrates machine data and human intelligence to improve visibility and agility across organizations.
Connect insights to real-time action by aligning teams through the shared language of business impact.
Check out the latest products we’ve been working on—including event intelligence, machine learning, response automation, on-call, analytics, operations health management, integrations, and more.
Digital Operations Management arms organizations with the insights needed to turn data into opportunity across every operational use case, from DevOps, ITOps, Security, Support, and beyond.
Over 300 Integrations
Discover DevOps best practices with our library of webinars, whitepapers, reports, and much more.
Learn best practices and get support help with resources from our award-winning support team.
See how PagerDuty works with our live product demo — twice a week, every week.
We've created a maturity model to assist on the journey to digital operations excellence. Take our short assessment to find out where your team falls!
Interactive, simple-to-use API and technical documentation enables users to easily try updates and extend PagerDuty.
Engage with users and PagerDuty experts from our global community of 200k+ users. Become a member, connect, and share insights for success.
Get all your PagerDuty-related questions answered by exploring our in-depth support documentation and community forums.
Using Data to Dismantle a Criminal Industry Human trafficking is a $150 billion dollar criminal industry that denies freedom to over 40 million people globally—and...
PagerDuty helps organizations transform their digital operations. Learn more about PagerDuty's mission and what we do.
Meet our experienced and passionate executive team.
We are risk-taking innovators dedicated to delivering amazing products and delighting customers. Join us and do the best work of your career.
With the PagerDuty Foundation, we are committed to doing our part in giving back to the community.
This is the first post in a series to help your engineering team transition into a DevOps model. We’ll start with the whys and get to the hows in future posts. Stay tuned.
DevOps is a software development approach that focuses on the collaboration between developers and operations, where developers are empowered to own their code from cradle to grave and operations develops tools for automation to be used by their devs. Using a DevOps model you will share a common goal to quickly deliver quality products and services through more frequent deployment and collaboration.
Most of us have spent time working in an office with so much red tape it can take a month just to get a new stapler or to replace a broken keyboard. Nobody likes these unnecessary and seemingly countless levels of approval. Especially for small updates, such a homepage sign-up button or a quick bug fix to solve a customer’s frustration.
In response to these blockers, we go in to our offices, sit at our desks and only commit to a small piece of the puzzle. We just can’t get things done, so why bother? But we want to do more. We want to feel valuable and know that we can contribute more to make things better. For engineers, these roadblocks can impact workflows, stunt creativity and hurt their product.
Forming a DevOps culture in our companies will help us eliminate many of these roadblocks. The DevOps model is a software development ideology that encourages developers and operations engineers to work together in order to make products better and faster through more frequent deployment and automation.
Instead of drowning in your waterfall model, linearly moving from one step to the next, adopting a DevOps culture will help create a collaborative environment where work is distributed between ops and devs. This allows ops engineers to develop systems that will enable devs to deploy their own code and deploy their code frequently.
In a properly constructed culture, both software developers and ops engineers have their roles intertwined. Instead of tossing problems over the wall with little regard for the people on the other side, they align their teams rather than work against each other.
While most of us have our core disciplines we specialize in, our professional environments should be conducive to learning and using other skills, even if they aren’t listed on our resume. With more fluidity in our roles we can get more done because we will feel more empowered to do so.
Eventually, this blending of roles will lead to organic collaboration and socializing among teams. This will keep your team flat and goals aligned, aiding in a culture that emphasizes line level communication between teams so code can be deployed more frequently and reliably.
Because everyone is taking ownership of their own work from cradle to grave they hold themselves accountable for any issues that may arise instead of pointing fingers. For example, a developer deploying a new feature will own the reliability of that feature and not simply toss responsibility to the operations team.
Let’s drive down on this point a bit more. Faster, more frequent deploys are better for your business. In a DevOps organizational model you will be moving much smaller blocks with each deploy. This means there is less risk, the chances of something going wrong in these smaller blocks is exponentially less likely than moving multiple, larger blocks at once. Should something break, you are only rolling back a small piece instead of months worth of work to identify the problem.
Since you can deploy more frequently you can roll out code in smaller chunks so there is less risk with each deployment. If something does go awry you can roll back a small piece of code without having to go through and QA months worth of work.
Within a DevOps model each change to your environment is easier to monitor so you can measure key metrics then improve your system based on data. With proper automation, such as continuous integration, your development environments will finally keep up with your production environments allowing you to confidently test new code without your customers experiences hiccups in your service. This will make your code’s behavior significantly more predictable for your customers. As a result they will be able to seamlessly enjoy a new feature in your product.
In the end, your culture is unique to your team and business (and it should be). We’ll help you to identify the steps you need to take to start creating your own collaborative environment, but its outcome will be something none of us can predict.
Keep reading, over the next several weeks, we’ll dive deeper into how you can introduce a DevOps organizational model into your company’s culture.
Update 4/10/14 – Continuing reading the transitioning to DevOps series:
This is a guest post by Ilan Rabinovitch, Director of Product Management at Datadog. The convergence of rapid feature development, automation, continuous delivery, and the shifting...
Dynamic Notifications are now out in the wild! With our launch today, we give PagerDuty users the power to dynamically adjust how they are notified...
600 Townsend St., #200
San Francisco, CA 94103
905 King Street West, Suite 600
Toronto, ON, M6K 3G9, Canada
1416 NW 46th St., St. 301
Seattle, WA 98107
5 Martin Place
1 Fore St,
London EC2Y 9DT
© 2009 - 2018