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The Australian Cyber Security Center (ACSC) created the ISM framework to provide practical guidance and principles to protect organizations IT and operational technology systems, applications, and data from cyber threats. Keep your data secure with Dynatrace Dynatrace was purpose-built to process and query massive volumes of data.
The Hong Kong Monetary Authority (HKMA)’s Operational Resilience Framework provides guidance for Authorized Institutions (AIs) to ensure the continuity of critical operations during disruptions: governance, risk management, business continuity planning, and oversight of third-party dependencies.
In this blog we’re going to cover some of the recent, sometimes daily experiences I’ve encountered within Government and Federal agencies to demonstrate the role the Dynatrace platform plays to address these barriers and how agencies can leverage Dynatrace as an invaluable resource that contributes to DevSecOps success.
As cyberattacks continue to grow both in number and sophistication, government agencies are struggling to keep up with the ever-evolving threat landscape. This is further exacerbated by the fact that a significant portion of their IT budgets are allocated to maintaining outdated legacy systems. First, let’s discuss observability.
Consider the seemingly countless metrics derived from modern container orchestration systems. The primary goal of a security operations center is to ensure the security of an organization’s information systems and data. For metrics in particular, important context includes dimensions, relationships to other metrics, and metadata.
5 FedRAMP (Federal Risk and Authorization Management Program) is a government program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services for U.S. System Backup now requires the backup of privacy-related system documentation. government clients.
It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily.
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.
As a PSM system administrator, you’ve relied on AppMon as a preconfigured APM tool for detecting, diagnosing, and repairing problems that impact the operational health of your Windchill application suite. Besides the needed horsepower, an easy way to govern access and visibility is critical. Dynatrace news.
For many federal agencies, their primary applications and IT systems have delivered reliably for years , if not decades. 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. .
Are you uneasy about application security when government agencies and other organizations crowdsource code? During his discussion with me and Mark Senell, Dr. Magill explains how government agencies can securely use open source code. Magill explains how government agencies can securely use open source code. Stay up to date.
Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Query Optimization.
This complexity can increase cybersecurity risk, introduce many points of failure, and increase the effort required for DORA governance and compliance. For example, look for vendors that use a secure development lifecycle process to develop software and have achieved certain security standards. Integration with existing processes.
DORA seeks to strengthen the cybersecurity resilience of the EU’s banking and financial institutions by requiring them to possess the requisite processes, systems, and controls to prevent, manage, and recover from cybersecurity incidents. Who needs to be DORA compliant?
Dynatrace is proud to announce the cryptography embedded in its Software Intelligence Platform has earned a Federal Information Processing Standard Publication 140-2 Certification (FIPS 140-2). government procurement mandates that all solutions that use cryptography must meet the FIPS 140-2 standard. Department of Veterans Affairs.
All of this puts a lot of pressure on IT systems and applications. A massive rush of users over a very short time period makes systems begin to slow, and then potentially return errors. For example, traffic spikes in government employment portals sometimes resulted from COVID-related news announcements (figure 2).
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.
Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.
The mandate also requires that organizations disclose overall cybersecurity risk management, strategy, and governance. Do material incidents on “third-party systems” require disclosure? What application security best practices should your cybersecurity risk management process consider?
Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It removes much of the guesswork of untangling complex system issues and establishes with certainty why a problem occurred. That’s where causal AI can help. Causal AI is particularly effective in observability. Timeliness.
That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Understanding complex systems Causal AI holds great importance for achieving full-stack observability in complex systems. Government.
Is artificial intelligence (AI) here to steal government employees’ jobs? But if you don’t take the time to train the workforce in the programs or the systems you’re bringing online, you lose that effectiveness. Can embracing AI really make life easier? There is a lot of concern about AI taking jobs away from humans. “But
“To service citizens well, governments will need to be more integrated. Breaking down silos and seamlessly connecting and streamlining data and process flows are integral to finding new solutions, enhancing security, and creating personalized and engaging citizen experiences.”
We’ll further learn how Omnilogy developed a custom Pipeline Observability Solution on top of Dynatrace and gain insights into their thought process throughout the journey. This lack of comprehensive visibility into the performance of CI/CD pipelines poses a significant challenge, as they’re vital to the software delivery process.
Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.
The 5 pillars of DORA ICT Risk Management : Financial entities must effectively manage risks related to their information and communication technology (ICT) systems. Digital Operational Resilience Testing : Regular testing ensures systems can withstand cyber threats and operational disruptions.
The pandemic has transformed how government agencies such as Health and Human Services (HHS) operate. The costs and challenges of technical debt Retaining older systems brings both direct and indirect costs. The costs and challenges of technical debt Retaining older systems brings both direct and indirect costs.
DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.
The scope of OSS ranges from small components, such as a Java class library, to complete systems, such as the Apache HTTP Server Project and the Kubernetes container management system. The answer, Reitbauer says, is governance. “A The trouble was extending tracing across distributed systems. What are open standards?
UK Home Office: Metrics meets service The UK Home Office is the lead government department for many essential, large-scale programs. In this episode, Dimitris discusses the many different tools and processes they use. Now, shutting down systems daily helps the agency focus its cloud initiatives and save costs.
They are similar to site reliability engineers (SREs) who focus on creating scalable, highly reliable software systems. Belgian engineer Patrick Debois coined the term “DevOps” in 2009 when he needed a Twitter hashtag for DevOpsDays, an agile systems administrators conference in Europe. Atlassian Jira. Kubernetes.
IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA automates repetitive cloud operations tasks and streamlines the flow of analytics into decision-making processes.
federal government and the IT security sector. Using vulnerability management, DevSecOps automation, and attack detection and blocking in your application security process can proactively improve your organization’s overall security posture. This proactive process spans from the development phase to production.
Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. Streamlining the CI/CD process to ensure optimal efficiency. These tasks collectively ensure uninterrupted production service.
AI significantly accelerates DevSecOps by processing vast amounts of data to identify and classify potential threats, leading to proactive threat detection and response. Contextual security analytics enables teams to precisely identify affected systems and understand the full nature of the threat. Read now and learn more!
DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. In a perfect world, a robust AI model can perform complex tasks while users observe the decision process and audit any errors or concerns. Explainable AI methodologies are still in the early stages of development.
Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? Unfortunately, Kubernetes deployments can be fraught with challenges beyond the surface level.
During the recent pandemic, organizations that lack processes and systems to scale and adapt to remote workforces and increased online shopping are feeling the pressure even more. Rethinking the process means digital transformation. What do you see as the biggest challenge for performance and reliability?
This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.
Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. To fully answer “What are microservices?”
Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. To fully answer “What are microservices?”
Business, finance, and administrative applications written in the common business-oriented language (COBOL) have run tirelessly on IBM Z systems since the early 1960s. COBOL applications must be processed on expensive general processors, while Java applications are eligible to run on IBM Z specialty processors such as zIIPs.
To date, traditional observability tools ingest and process only partial data in silos which makes them ineffective to truly address application performance or security issues. Others lack causal AI to process data in full context that can actually pinpoint the root cause of problems.
So when people hear me explain things, it’s this process of convincing myself I completely understand it.”. There are stakeholders, dependencies, and end-users throughout the process. And if you have other tools, like the open-source systems monitoring toolkit, Prometheus , you need a solution to make sense of all the data in context.
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