This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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. Ready to learn more?
As cyberattacks continue to grow both in number and sophistication, government agencies are struggling to keep up with the ever-evolving threat landscape. By combining AI and observability, government agencies can create more intelligent and responsive systems that are better equipped to tackle the challenges of today and tomorrow.
In today’s hybrid cloud ecosystems, reliably detecting malicious activity requires full-stack visibility. Telemetry data — such as metrics, logs, and traces — gives IT teams crucial context to understand how all entities are connected. Consider the seemingly countless metrics derived from modern container orchestration systems.
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. While cloud deployments offer benefits, they also pose management challenges—especially in multicloud strategies that use various cloud providers.
OpenTelemetry metrics are useful for augmenting the fully automatic observability that can be achieved with Dynatrace OneAgent. OpenTelemetry metrics add domain specific data such as business KPIs and license relevant consumption details. Enterprise-grade observability for custom OpenTelemetry metrics from AWS. Dynatrace news.
On Episode 52 of the Tech Transforms podcast, Dimitris Perdikou, head of engineering at the UK Home Office , Migration and Borders, joins Carolyn Ford and Mark Senell to discuss the innovative undertakings of one of the largest and most successful cloud platforms in the UK. Make sure to stay connected with our social media pages.
As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. American Family turned to observability for cloud operations. Step 1: Automate AWS metrics ingestion with Dynatrace.
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. Dynatrace news. Connecting data siloes requires daunting integration endeavors.
The Department of Defense (DoD) has officially launched the Joint Warfighter Cloud Capability (JWCC) , the first-ever series of contracts that will establish enterprise cloud computing services for the entire department. These contracts will shine a spotlight on the need to optimize cloud performance and security.
More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?
In January and February, we spoke with a couple of the top influencers in government technology, 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.
As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. VA’s journey into the cloud.
Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms. But while moving workloads to the cloud brings overall carbon emissions down, the cloud computing carbon footprint itself is growing. Certainly, this is true for us.
Dynatrace launches Cloud Automation module for development, DevOps & SRE teams. Over the past few years, Dynatrace has been a keen voice in the field of DevOps and provided enterprise knowledge and expertise in the shape of Keptn, the open-source, cloud-native, lifecycle orchestration control plane developed as a CNCF sandbox project.
Recent congressional and administration efforts have jumpstart ed the US Federal Government’s digital transformation through e xecutive o rders ( for example, Cloud First , Cloud Smart ) and Congressional acts ( for example , the Modernizing Government Technology Act , and the Connected Government Act ).
Traditional debugging approaches, logs, and occasional remote breakpoint instrumentation cant easily keep pace with cloud-native AI deployments, where performance, compliance, and costs are all on the line. 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. A lack of visibility into cloud environments . Complex and quick: The data explosion challenge .
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.
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.
New cloud-native technologies make observability more important than ever…. Dynatrace PurePath 4 extends automatic distributed tracing to OpenTelemetry and the latest cloud-native technologies. In this example you can see on the left side that the Envoy payment service is running on a Linux host, deployed in the Google cloud.
It’s cliched to say that cloud adoption has changed everything in this race, but a full understanding of the intricacies of cloud-native applications is still rare. Cloud-based application architectures commonly leverage microservices. Looking at the key metrics of the deployment does not reveal anything out of the ordinary.
These issues underline the importance of robust data management and precise strategic planning for AI projects, including cloud-based models and LLMs. Tracking metrics like accuracy, precision, recall, and token consumption. Compliance and governance assurance Ensuring compliance with regulations and governance standards is crucial.
Dynatrace ® AutomationEngine features a no- and low-code toolset and leverages Davis ® AI to empower teams to create and extend customized, intelligent, and secure workflow automation across cloud ecosystems. For more details, see the blog post, Set up AI-powered observability for your Microsoft Azure cloud resources in just one click.
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. Register to listen to the webinar.
Applying the DORA framework is especially challenging as organizations move more workloads to the cloud and manage sprawling hybrid and multi-cloud environments. Delivering financial services requires a complex landscape of applications, hybrid cloud infrastructure, and third-party vendors. Third-party risk management.
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.
As we continue to adapt, Biz/Dev/Ops teams are under intense pressure as organizations turn to apps and the cloud to transact business and keep employees productive and customers satisfied. . Looking at our overall data set, we saw a small increase in some key metrics and performance indicators, but this wasn’t substantial. .
Especially when seamless end-to-end solutions are needed, it’s necessary to add relevant business context to data to unlock the value of insights that are hidden in the vast amount of observability, security, and business data derived from modern clouds, and overcome the challenges of data that’s locked in organizational silos.
These challenges make AWS observability a key practice for building and monitoring cloud-native applications. 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: A service for everything.
In AIOps , this means providing the model with the full range of logs, events, metrics, and traces needed to understand the inner workings of a complex system. Modern, cloud-native architectures have many moving parts, and identifying them all is a daunting task with human effort alone. How can organizations improve data quality?
Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.
In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.
“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.
Government. Government agencies can learn from cause-and-effect relationships to make more evidence-based policy decisions. The logs, metrics, traces, and other metadata that applications and infrastructure generate have historically been captured in separate data stores, creating poorly integrated data silos.
As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.
Cloud Automation. Resolved an issue where metric data would be incorrectly or only partially displayed when a metric was ingested with a monitored entity dimension. (APM-352822). Fixed issue that extensions could not be uploaded via Hub UI for Dynatrace for Government (FedRAMP). (APM-349255). Cloud Automation.
With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.
An open platform can address some of the challenges organizations have experienced as they move to the cloud to become more resilient and agile in the face of disruption. As organizations continue to operate in the cloud, open technologies become critical. Learn more about the Dynatrace platform and its Cloud Done Right architecture.
The containers can run anywhere, whether a private data center, the public cloud or a developer’s own computing devices. Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications.
Thinking about going multi-cloud? A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in.
Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.
The growing need for observability in digital transformation Digital transformation and the ubiquitous adoption of multicloud and cloud-native technologies have made observability mandatory. Dynatrace has a well-earned heritage of reducing complexity and cutting through the noise in large-scale multicloud and cloud-native environments.
If you are wondering what a service mesh is and whether you would benefit from having one, you likely have a mature Kubernetes environment running large cloud-native applications. Istio generates telemetry data in the form of metrics, logs, and traces for all the services within the mesh.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content