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I realized that our platforms unique ability to contextualize security events, metrics, logs, traces, and user behavior could revolutionize the security domain by converging observability and security. Collect observability and security data user behavior, metrics, events, logs, traces (UMELT) once, store it together and analyze in context.
The challenge is that state and local governments operate in highly complex systems — legacy data centers or hybrid environments — crossing multiple clouds. Infrastructure monitoring automatically analyzes key health metrics and discovers performance problems caused by infrastructure bottlenecks or changes. Download white paper now!
As cyberattacks continue to grow both in number and sophistication, government agencies are struggling to keep up with the ever-evolving threat landscape. However, emerging technologies such as artificial intelligence (AI) and observability are proving instrumental in addressing this issue. First, let’s discuss observability.
Indeed, a recent report found that 84% of technology leaders agree that multicloud complexity makes it more difficult to protect applications from security vulnerabilities and attacks. Telemetry data — such as metrics, logs, and traces — gives IT teams crucial context to understand how all entities are connected.
The White House recently released the “Delivering a Digital-First Public Experience” memorandum, which seeks to transform the way the government interacts online with citizens. In fact, we’ve worked with government customers for years now to enhance their CX. Subsequently, users now expect this from government agencies.
already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Extensions can monitor virtually any type of technology in your environment. Extensions 2.0
In January and February, we spoke with a couple of the top influencers in governmenttechnology, including Jamie Holcombe , Chief Information Officer at the United State Patent and Trademark Office [USPTO]; and Dimitris Perdikou , Head of Engineering at the UK Home Office, Migration and Borders.
We also explore how to improve user experiences within the Zero Trust framework and how to develop security metrics that eliminate DevSecOps bottlenecks. Our lineup of top influencers in governmenttechnology in June includes the following: Sara Jones – CEO at InclusionPro. Bob Stevens – AVP, Public Sector at GitLab.
These are two values he shares with DevOps activist Andreas Grabner, who sat down with Hightower at Dynatrace Perform 2022 to talk about taming Kubernetes and the future of cloud-native technologies. The customer received government assistance through their electronic benefits transfer (EBT) card, but the card system was down.
The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….
Amazon Bedrock , equipped with Dynatrace Davis AI and LLM observability , gives you end-to-end insight into the Generative AI stack, from code-level visibility and performance metrics to GenAI-specific guardrails. Send unified data to Dynatrace for analysis alongside your logs, metrics, and traces.
A new Dynatrace report highlights the challenges for government and public-sector organizations as they increasingly rely on cloud-native architectures—and a corresponding data explosion. This shift makes it harder to monitor, observe, and analyze data across a distributed technology stack. .
Government agencies aim to meet their citizens’ needs as efficiently and effectively as possible to ensure maximum impact from every tax dollar invested. As part of this mission, there is a drive to digitize services across all areas of government so citizens can meet their own needs faster and with greater convenience.
But this has led many agencies to fall behind from a technology standpoint. . Upon this backdrop, Dynatrace has just received its FedRAMP moderate impact level authorization , which is available for our f ederal customers through our new Dynatrace for Government offering. . About Dynatrace for Government : .
This nuanced integration of data and technology empowers us to offer bespoke content recommendations. We accomplish this by gathering detailed column-level metrics that offer insights into the state and quality of each impression.
In the recent webinar, Good to great: Case studies in excellence on state and local government transformations, Tammy Zbojniewicz, enterprise monitoring and service delivery owner within Michigan’s Department of Technology, Management, and Budget (DTMB), illustrates that meeting both objectives is possible.
And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Government. Further, not every business uses AI in the same way or for the same reasons.
Multicloud strategy: Balancing potential with complexity in modern IT ecosystems In the ever-changing digital world, cloud technologies are crucial in driving business innovation and adaptability. Centralization brings all the critical metrics and logs into one place, providing a holistic perspective over your cloud environment.
This complexity can increase cybersecurity risk, introduce many points of failure, and increase the effort required for DORA governance and compliance. Implementing and maintaining DORA compliance can be resource-intensive, requiring skilled personnel, advanced technologies, and ongoing investment. Third-party risk management.
Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Track log metrics and receive alerts without manually setting thresholds.
Like general observability , AWS observability is the capacity to measure the current state of your AWS environment based on the data it generates, including its logs, metrics, and traces. AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. And why it matters. Amazon EC2.
Many organizations attempt to combine tools, products, and do-it-yourself solutions with custom code to fulfill custom use cases that are specific to their unique business requirements and technology stacks. AppEngine is a core technology within the Dynatrace platform.
When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 1: Automate AWS metrics ingestion with Dynatrace. 01 for every 1,000 metrics.
The technology race never stops. WSO2 API Manager helps you to secure, govern, and analyze myriad incoming and outgoing API request types, but it offers little help in regards to its own operations. Looking at the key metrics of the deployment does not reveal anything out of the ordinary. Dynatrace news.
“To service citizens well, governments will need to be more integrated. William Eggers, Mike Turley, Government Trends 2020, Deloitte Insights, 2019. federal government, IT and program leaders must find a better way to manage their software delivery organizations to improve decision-making where it matters. billion hours.
Although these COBOL applications operate with consistent performance, companies and governments are forced to transform them to new platforms and rewrite them in modern programming languages (like Java) for several reasons. Metrics for WebSphere Application Server and WebSphere Liberty. JDBC database connections. JMS messaging.
The growing need for observability in digital transformation Digital transformation and the ubiquitous adoption of multicloud and cloud-native technologies have made observability mandatory. Additionally, we’ve been able to unify dev teams and business teams to set and monitor metrics around user interaction with our sites.”
Today, organizations face unprecedented challenges, including COVID-19 recovery, economic uncertainty, and technological disruption. As organizations continue to operate in the cloud, open technologies become critical. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia.
Toward this end, environmental sustainability is one of the three pillars of environmental, social, and governance (ESG) initiatives. ESG metrics are increasingly important to investors as they evaluate risk; in turn, these metrics are increasingly important to organizations because they measure and disclose their performance.
The goal was to develop a custom solution that enables DevOps and engineering teams to analyze and improve pipeline performance issues and alert on health metrics across CI/CD platforms. Developers can automatically ensure enterprise security and governance requirement compliance by leveraging these components.
This complexity comes in the form of new technologies like microservices and containers, heavy use of third-party integrations, and distributed transactions across multiple cloud environments and data centers. Automation is key to ensuring teams follow standard operating procedures and remain within the guardrails of your governance model.
Then, big data analytics technologies, such as Hadoop, NoSQL, Spark, or Grail, the Dynatrace data lakehouse technology, interpret this information. Define core metrics. Establish data governance. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Apache Spark. Dynatrace Grail.
These heightened expectations are applied across every industry, whether in government, banking, insurance, e-commerce, travel, and so on. One advantage of digital experience over physical interaction is the tooling and technologies that are available to monitor and potentially improve the experience for your users. Break down silos.
As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging. However, cloud-native technologies have introduced a level of complexity that make a logs-only approach to auditing and forensics limiting.
Does that mean the answer is to slow the growth of AI or cloud technologies more broadly? The app’s advanced algorithms and real-time data analytics translate utilization metrics into their CO2 equivalent (CO2e). These metrics include CPU, memory, disk, and network I/O. Download report Already a Dynatrace customer?
Even in heavily regulated industries, such as banking and government agencies, most organizations find the monolithic approach too slow to meet demand and too restrictive for developers. Monitoring and alerting tools and protocols help simplify observability for all custom metrics. How do you monitor microservices?
The increasing complexity of cloud-native technologies has placed unprecedented pressure on DevOps teams. In addition to rising IT costs and a turbulent economy, DevOps automation has shifted from an efficiency drive to a strategic imperative for organizations looking to keep up with the pace of today’s technological landscape.
As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. So, what is ITOps? What is ITOps? Why is IT operations important?
While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. It’s being recognized around the world as a transformative technology for delivering productivity gains. What is artificial intelligence?
With the arrival of this release candidate (RC), the community’s focus now shifts to providing tracing RC component releases, as well as producing a metrics specification RC. These OpenTelemetry custom metrics will be picked up by the Dynatrace analytics engine, ensuring automated and intelligent observability.
Therefore, IT teams need an in-depth understanding of security, governance, and end-user requirements of all environments—both public and private. Governance of standardized processes. The solution starts with observability, enabling organizations to measure the system states based on their logs, metrics, and traces.
However, most organizations, even in heavily regulated industries and government agencies, find the monolithic approach to be too slow to meet demand, and too restrictive to developers. Teams can become leading experts on the technologies they develop. Manually pulling metrics from a managed system like Kubernetes can be laborious.
However, most organizations, even in heavily regulated industries and government agencies, find the monolithic approach to be too slow to meet demand, and too restrictive to developers. Teams can become leading experts on the technologies they develop. Manually pulling metrics from a managed system like Kubernetes can be laborious.
In 2022, we released 33 episodes covering a multitude of topics — from privacy issues to zero trust initiatives to American innovation — that sit at the intersection of technology, government, and human needs. Episode 40 – Security Metrics: Measure Twice, Cut Once with Rick Stewart. Application Management for Federal Government.
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