Cutting Alert Fatigue and Strengthening Mission Readiness with Dynatrace Workflows & App Engine

This episode of The Bottom Line Up Front focuses on how Dynatrace Workflows and the Dynatrace App Engine can drastically improve IT operations by reducing alert fatigue, accelerating remediation, and integrating quality and security into software delivery. The discussion highlights key features such as automation, context enrichment, and the use of quality and security gates to ensure compliance with standards like RMF and FedRAMP. Practical steps for implementing these technologies and achieving mission success are also outlined.

• 00:00 Introduction
• 00:38 Today’s Focus: Dynatrace Workflows and App Engine
• 01:31 Understanding Dynatrace Workflows
• 02:12 Concrete Actions with Dynatrace Workflows
• 03:40 Reducing Alert Fatigue with Dynatrace
• 04:24 Introduction to Dynatrace App Engine
• 05:13 Quality and Security Gates in Action
• 06:13 Connecting Dynatrace to Compliance and Mission Assurance
• 07:06 Practical Quick Wins with Dynatrace
• 08:02 Conclusion and Call to Action

This episode is brought to you by ATP Gov. Visit us online at www.atpgov.com or follow us on LinkedIn.

[00:00:00] Welcome to the Bottom Line Upfront, the podcast that cuts through the noise to deliver distilled insights from today’s most important technical webinars, presentations and demonstrations designed for federal and military IT leaders. Each episode breaks down complex technologies into mission ready takeaways, so you get the key points.

Fast. Whether it’s cybersecurity, cloud, architecture, or emerging defense technologies, we highlight what matters most and how trusted integrators like a TP gov can help implement and operationalize these solutions across your agency or command. No fluff. No filler, just the bottom line upfront. Today we’re breaking down how Dynatrace workflows and the Dynatrace app engine can reduce alert fatigue, accelerate remediation, and bake quality and security into your software delivery without breaking compliance or mission readiness.

If you operate mission systems, you know the pain, thousands of alerts, unclear root causes, long meantime to recover, and the constant pressure of [00:01:00] zero trust RMF and FedRAMP compliance. The webinar we attended had two parts. First off was Dynatrace workflows for automation and radiation, think ServiceNow and Jira Integration, AWS and Ansible.

Hooks and Prompt to human summaries for faster decisions. And the second part focused on Dynatrace App Engine for building custom apps and controls on top of Grail data quality gates, security Gates, SLO driven release, validation, and Streamline DevSecOps. So let’s translate all this into concrete mission outcomes.

First off, we have to talk about what are workflows. You have to think of a workflow as a policy driven automation that kicks in when a problem occurs on a schedule or on an on demand trigger. In the case of Dynatrace, they leverage their Davis AI to create context around the entity, the root cause, and the severity It runs.

Its proprietary DQL queries to enrich the data and then takes action with built-in tasks or custom API calls. In a mission environment, automation [00:02:00] reduces the mean time to respond. It contains impact and enforces repeatable playbooks aligned with governance. It also helps with operational audibility, and every step is logged and traceable in the Dynatrace system.

So here’s some concrete actions you can take in a Dynatrace workflow. You can create or update incidents in ServiceNow or Jira using correlation IDs to avoid ticket duplication. You can execute remediation steps via Ansible, A-W-S-S-S-M, runbooks, or GitHub, actions from restarting processes to adjusting container limits.

You also get human friendly summaries using prompt actions. You can convert raw event data into readable incident briefs for tier one and tier two operators. You can monitor execution health. You can filter on failed runs, track trends, and use the execution to monitor audit outcomes. Some key examples that were given during the webinar focused on CPU saturation, which then triggered a workflow that performed the following steps.

It enriched the context. Using the DQL query language, [00:03:00] it checked ownership and routes to the right ServiceNow In Jira queues, it prevented chaos by updating the existing incident. As the problem evolved, it launched remediation through Ansible by killing an offending process. And requested that GitHub take action, raising the container limits, and finally, it verified the fix.

In the case of an unresolved fix, Dynatrace would’ve escalated the problem to a human with a clear summary. The end result was 80% reduction in manual remediation effort when escalation happened. Operators can have confidence that the first five to 10 steps have already been attempted by the Dynatrace system before having to get involved.

This is all about reducing alert noise to actionable incidents because as we know, alert fatigue kills situational awareness. In the Dynatrace approach, Davis AI correlates events, so a problem evolves without generating duplicate tickets. The workflow checks for existing incidents by event ID and updates them [00:04:00] with new root cause details.

That’s how one customer was able to drop it from 70,000 alerts. To seven that actually mattered. So what’s the mission impact there? Well, first of all, clarity Operators can focus on true incidents with faster engagement and validated context, and it also provides better compliance in the sense that there are better audit trails and accountability for every action taken.

Now we’re gonna shift gears by shifting left with Dynatrace App Engine and talk about quality and security gates. So what is Dynatrace App Engine? It’s a platform for building react based applications and serverless functions directly from inside Dynatrace apps. Leverage Dynatrace’s Grail data SDKs and the Strato design system to deliver tailored capabilities without spinning up separate infrastructure.

So why does this matter? Custom controls enforce SLO based quality gates and security gates across your pipeline. You now create policy as code keeping you aligned with RMF [00:05:00] and NIST guidance. And this supports continuous a TO strategies. Not only that, it gives you a single pane of governance. Therefore, managers can see test results, SLOs, and vulnerability exposure on one page.

Part of the webinar gave us a demo on these quality gates. In practice, they were triggered by a build or deployment event. For example, a GitHub pipeline. Dynatrace was able to run synthetic tests and evaluate the SLOs, like CPU, usage, error rate, and latency. And then there was a fast fail. The pipeline halted if SLOs weren’t met.

Therefore, no promotion to staging or production. We also got to see security gates in practice. We were able to see how to evaluate open vulnerabilities, but critically whether they are exposed or reachable in our runtime. If vulnerabilities are not exploited in the environment, a update or release or patch may proceed if that code base is reachable and not being blocked by some other system.

Outcomes then are pushed back to Jira and ServiceNow for unified tracking. So what that means is [00:06:00] now we have one consolidated dashboard showing quality and security status and no more hunting across 10 different tools. And we have clear waiting for approval states for builds that pass both the quality and security gates.

Let’s connect the dots on these Dynatrace implementations to your compliance and mission assurance mandates. With respect to zero trust Dynatrace automations run with least privilege via service identities and ownership. Routing ensures the right teams get the right actions at the right time.

Considering RMF and NIST 853 dynatrace’s, repeatable audible workflows provide the artifacts you need for controls around incident response, configuration management, risk assessment, and system integrity. When considering FedRAMP and a TO statuses, dynatrace’s centralized logging of automation activities and enforcement of policy gate supports continuous monitoring and continuous a TO efforts, thinking about operational resilience.

The ability for Dynatrace to provide verified remediation [00:07:00] steps and exposure aware security gates reduces the likelihood and impact of incidents in production. After reviewing all this information, we were able to put together some practical quick wins. If you were thinking about deploying Dynatrace in your ecosystem, if you wanna gain momentum in your first 30 to 60 days with the product, start small.

Look at one high volume incident pattern, like the example we saw, CPU saturation. Automate the first five steps. Dynatrace can create context enrichment. It can then update tickets. It can execute runbooks. It can verify everything that has occurred, and then it can escalate when necessary. Stand up a quality gate.

Choose three SLOs that most correlate to your mission. Impact block promotions. If they fail, then add a security gate. Evaluate exposure and reachability, not just counts. Maintain a decision log. And then finally, measure your outcomes. Look at the mean time to respond. Reduction rates, alert reduction, and the change in failure rate.

Set up customized reports from [00:08:00] within Dynatrace to provide to your leadership. So what’s the bottom line up front? Use Dynatrace workflows and it’s built in Davis AI to trigger on problems, enrich context, open and update tickets and ServiceNow or Jira. Execute runbooks like Ansible, A-W-S-S-S-M, and GitHub.

Actions and verify remediation before you escalate to humans slash the alert noise, normalize and correlate signals to reduce alert storms. You can shift left safely. Use Dynatrace app engine with quality gates and security gates tied to SLOs so bad builds never advance in your pipeline and protect your production by design.

And finally align all these tools with your zero trust principles and RMF and FedRAMP requirements integrating into your existing ServiceNow, JIRA and CICD tool chains for mission resilience. So if you’re ready to explore how automation and custom apps can harden your operations and speed your response, we can help you design and implement a secure integration plan or reach out for a Dynatrace workshop [00:09:00] or demo tailored to your environment and mandates.

Be sure to reach out to atp gov today@www.atpgov.com, or email info@atpgov.com, or check us out on social media on LinkedIn. Thanks for listening, and be sure to subscribe to the bottom line upfront wherever you get your podcasts. And stay tuned for more distilled insights from the front lines of tech and national security.

So until next time, stay secure. Stay mission ready.

The Bottom Line Up Front, is ATP Gov’s podcast that cuts through the noise to deliver distilled insights from today’s most important technical webinars, presentations and demonstrations designed for federal and military IT leaders. Each episode breaks down complex technologies into mission ready takeaways, so you get the key points.

Fast.

Whether it’s cybersecurity, cloud, architecture, or emerging defense technologies, we highlight what matters most and how trusted integrators like ATP Gov can help implement and operationalize these solutions across your agency or command.

No fluff. No filler, just the bottom line up front.