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
This seamless integration accelerates cloud adoption, allowing enterprises to maximize the value of their AWS infrastructure and focus on innovation rather than managing observability configurations.
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.
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.
This is especially true when we consider the explosive growth of cloud and container environments, where containers are orchestrated and infrastructure is software defined, meaning even the simplest of environments move at speeds beyond manual control, and beyond the speed of legacy Security practices. And this poses a significant risk.
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?
Many organizations are taking a microservices approach to IT architecture. However, in some cases, an organization may be better suited to another architecture approach. Therefore, it’s critical to weigh the advantages of microservices against its potential issues, other architecture approaches, and your unique business needs.
Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Cloud-based application architectures commonly leverage microservices. Extend infrastructure observability to WSO2 API Manager.
In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.
Increased adoption of Infrastructure as code (IaC). IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. Infrastructure as code is also known as software-defined infrastructure, or software intelligence as code.
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. Distributed architectures create another challenge for governments and public-sector organizations.
While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures. Disadvantages.
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. Dynatrace news. What is site reliability engineering? Solving for SR.
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.
The pandemic has transformed how government agencies such as Health and Human Services (HHS) operate. It may be challenging to accurately catalog where applications are stored if some are maintained within a current infrastructure model while others are not.
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. Dynatrace news. A major goal of SRE is to reduce duplication or redundancy of effort as much as possible. Solving for SR.
It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration. Modern, cloud-native architectures have many moving parts, and identifying them all is a daunting task with human effort alone.
Kubernetes has since dominated the market, thanks to “effective evangelism and project governance, attentive development, and a committed community.” ” He credits this shift to the early days of the DevOps movement when infrastructure was built more as code but was still tied to individual machines.
Overview page of the Pipeline Observability app Thanks to the open and composable platform architecture and the provided toolset, building a custom app that runs natively within Dynatrace was straightforward and efficient. What’s next This is just one of many examples.
This modular microservices-based approach to computing decouples applications from the underlying infrastructure to provide greater flexibility and durability, while enabling developers to build and update these applications faster and with less risk. Watch webinar now! The post What is a service mesh? appeared first on Dynatrace blog.
Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Some companies are still using different tools for application performance monitoring, infrastructure monitoring, and log monitoring. AI-powered answers and additional context for apps and infrastructure, at scale.
But only 21% said their organizations have established policies governing employees’ use of generative AI technologies. Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture.
As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. Infrastructure as code (IaC) configuration management tool. Container orchestration platform offering orchestration, automation, security, governance, and other capabilities. Kubernetes.
Dynatrace and our local partners helped MAMPU to optimize the digital government experience on several dimensions: Digital Experience: 413% improvement in APDEX, from 0.15 Infrastructure Optimization: 100% improvement in Database Connectivity. Digital Performance: 99% reduction in Response Time, from 18.2s
Dynatrace supports full-stack monitoring for Kubernetes, from the application down to the infrastructure layer. However, if you don’t have access to the infrastructure layer, Dynatrace also provides the option of application-only monitoring. Automated rollout of application observability. As of OneAgent Operator v0.8.0,
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. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Establish data governance.
DevOps practices have been established in the last decade to accomplish this goal and deal with the dynamics of modern, cloud-native software architectures. Such a template should contain a get-started tutorial, sample source-code framework, policy guardrails, CI/CD pipeline, infrastructure-as-code templates, and reference documentation.
Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The first Domain Graph Service (DGS) on the platform was the former GraphQL monolith that we discussed in our first post (Studio API).
“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.
7 criteria for unified observability and security at scale – whitepaper To build the flawless digital services customers expect, organizations increasingly rely on hybrid-cloud and multicloud applications and infrastructure. AI observability accelerates AI benefits. Discover more insights from the 2024 CISO Report.
ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. What is ITOps?
Change starts by thoroughly evaluating whether the current architecture, tools, and processes for configuration, infrastructure, code delivery pipelines, testing, and monitoring enable improved customer experience faster and with high quality or not. Rethinking the process means digital transformation.
Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. All this is easier said than done because: Kubernetes-based dynamic architecture is becoming the norm. Dynamic landscape and data handling requirements result in manual work.
This gives organizations visibility into their hybrid and multicloud infrastructures , providing teams with contextual insights and precise root-cause analysis. With a single source of truth, infrastructure teams can refocus on innovating, improving user experiences, transforming faster, and driving better business outcomes.
The whole organization benefits from consistency and governance across teams, projects, and throughout all stages of the development process. He goes on to review the following newly launched capabilities from Dynatrace: Infrastructure & Operations app.
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.
This means that your entire IT infrastructure can be monitored within minutes. The all-in-one Dynatrace platform delivers precise answers about the performance of your applications, their underlying infrastructure, and the experience of your end users. You name it, and we have it! And even Digital business analytics.
It also entails secure development practices, security monitoring and logging, compliance and governance, and incident response. Microservices-based architecture Applications built using microservices-based architecture can operate and interact across different cloud platforms. Read report now!
As digital transformation accelerates, organizations turn to hybrid and multicloud architectures to innovate, grow, and reduce costs. But the complexity and scale of multicloud architecture invites new enterprise challenges. Protection means securing complex, distributed and high-velocity cloud architectures,” the article continued.
Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia. Successful platform adoption requires a platform to be easy to use and integrate with other architectures, applications, and data sources. Learn more about the Dynatrace platform and its Cloud Done Right architecture.
For those AppMon customers who are still investigating the tremendous value that the Dynatrace software intelligence platform provides, consider the following excerpts from customers like you after making the switch from AppMon to Dynatrace: “As a large traditional bank, we have a real convoluted IT infrastructure.
Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management.
With so many features, Azure continues to gain popularity among corporations and government agencies. While AWS and Azure promote the same capabilities — and perhaps a similar ultimate vision — their architectures are not equivalent. In 2019, the US Department of Defense chose Azure for its $10 billion cloud computing project, JEDI.
This new extension allows customers to deploy native Amazon ECS tasks in any target environment including traditional AWS managed infrastructure and now customer-managed infrastructure. Host registration to the ECS cluster is managed by System Manger and governed by AWS Identity and Access Manager (IAM). Getting started.
Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.
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