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DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Indeed, around 85% of technology leaders believe their problems are compounded by the number of tools, platforms, dashboards, and applications they rely on to manage multicloud environments.
Cloud platforms (AWS, Azure, GCP, etc.) Integrations: Can work across multi-cloud and hybrid-cloud environments, such as AWS, Azure, and Google Cloud Platform, and provide unified visibility and management. If you’re using native Kubernetes, or K8s in AWS EKS, Azure AKS, Google GKE, or on-prem (e.g.
This is a mouthful of buzzwords” is how I started my recent presentations at the Online Kubernetes Meetup as well as the DevOps Fusion 2020 Online Conference when explaining the three big challenges we are trying to solve with Keptn – our CNCF Open Source project: Automate build validation through SLI/SLO-based Quality Gates. Dynatrace news.
What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.
As a result, organizations are investing in DevOps automation to meet the need for faster, more reliable innovation. Automation is a crucial aspect of achieving DevOps excellence. But according to the 2023 DevOps Automation Pulse , only 56% of end-to-end DevOps processes are automated.
As cloud-native, distributed architectures proliferate, the need for DevOpstechnologies and DevOps platform engineers has increased as well. DevOps engineer tools can help ease the pressure as environment complexity grows. ” What does a DevOps platform engineer do? Atlassian Jira. Selenium.
As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. What is the Azure Well-Architected Framework?
As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.
With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Dynatrace news.
While digital transformation initiatives have obvious advantages for organizations, they also bring growing complexity to technology and digital services teams. Gartner® states that by 2023, “70% of organizations will use value stream management to improve flow in the DevOps pipeline, leading to faster delivery of customer value.”¹.
In addition to existing support for AWS Lambda , this support now covers Microsoft Azure Functions and Google Cloud Functions as well as managed Kubernetes environments, messaging queues, and cloud databases across all major cloud providers. This enables your DevOps teams to get a holistic overview of their multicloud serverless applications.
If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. In a nutshell, they are complementary and, in part, overlapping technologies to create, manage, and operate containers. Dynatrace news. But first, some background.
In the last several years, I’ve led many sessions on DevOps, NoOps, Continuous Delivery, Continuous Performance, Shift-Left, Self-Healing, and GitOps. Zeroing in on the current state of DevOps and autonomous cloud and advancing performance.
Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.
Digital workers are now demanding IT support to be more proactive,” is a quote from last year’s Gartner Survey Understandably, a higher number of log sources and exponentially more log lines would overwhelm any DevOps, SRE, or Software Developer working with traditional log monitoring solutions.
Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Teams can become leading experts on the technologies they develop. They commonly leverage HTTP and REST API technologies to communicate with other services. Microservices challenges.
Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Teams can become leading experts on the technologies they develop. They commonly leverage HTTP and REST API technologies to communicate with other services. Microservices challenges.
The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. GitOps: Cloud automation as code. Expand to more use cases.
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.
Accordingly, these platforms provide a unified, consistent DevOps and IT experience. Five available hybrid cloud platforms from the top public cloud providers include the following: Azure Stack : Consumers can access different Azure cloud services from their own data center and build applications for Azure cloud.
In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Avoid lock-in with open-source technologies. What is Google Cloud Functions?
According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure. Further, Forrester predicted that 25% of developers will use serverless technologies and nearly 30% will use containers regularly by the end of 2021.
Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. To address these issues, organizations that want to digitally transform are adopting cloud observability technology as a best practice. Learn more here.
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. Faced with these requirements, Omnilogy carefully evaluated the following two options for implementing a solution to the pipeline observability challenge.
Part 1 of this series starts will cover the key ingredients needed for successful DevOps use to deliver better software faster, followed by a short overview of GitHub Actions and example use cases related to deployment and release monitoring. Key ingredients required to deliver better software faster.
Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, AzureDevOps, or any other git compliant version control system.
Software companies who have already been following and adopting DevOps and site reliability engineering (SRE) practices alongside their shared ancestry in agile concepts came out on top – especially if they adopted those practices across the whole organization and customer value stream. Automated release inventory and version comparison.
Integration with CI/CD pipelines: Teams can integrate SRG into existing delivery pipelines including Jenkins, Github, GitLab, AWS, or Azure pipelines. Integrating Dynatrace into these processes provides invaluable insights and automated monitoring capabilities, allowing DevOps teams to detect issues early and respond swiftly.
Recently, Dynatrace added OpenTelemetry support to its PurePath 4 technology, which is its fourth and latest generation of automatic and intelligent distributed tracing. Configuring monitoring and observability is no stranger to that paradigm and it was also highlighted in the latest State of DevOps 2020 report.
A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). This multinational information technology service and consulting company was asked to help a global automotive manufacturer with the management goal of measuring service flow performance.
While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds. Dynatrace news. Assess the business impact.
A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. Additionally, the Dynatrace service can capture data from open source technologies, cloud-native platforms, containers, and more. Service mesh.
Dynatrace enables various teams, such as developers, threat hunters, business analysts, and DevOps, to effortlessly consume advanced log insights within a single platform. DevOps teams operating, maintaining, and troubleshooting Azure, AWS, GCP, or other cloud environments are provided with an app focused on their daily routines and tasks.
The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. Inefficiencies cost technology companies up to $100 billion per year. Dynatrace news.
positive customer experience via technology is the backbone of the business. We pride ourselves on customer care and clean, safe facilities,” says Ken Schirrmacher, chief technology officer at Park ‘N Fly, during a webinar on the role of IT automation, AIOps, and observability at the company.
In Part 1 we explored how DevOps teams can prevent a process crash from taking down services across an organization in five easy steps. The Dynatrace all-in-one software intelligence platform gives your team real-time visibility into your underlying infrastructure —be it on bare metal, VMware, OpenStack, AWS, Azure, or a hybrid solution.
Microsoft announced that cloud-based load testing in Microsoft Visual Studio and cloud-based load testing in AzureDevOps will be retired. JMeter gets closely integrated with other DevOps tools – and we have a lot of great content about JMeter integration into DevOps – up to recently published Master Apache JMeter.
We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. This also applies to logging use cases for certain technologies. In the end, this approach helps you avoid frustrated users and lost revenue.
The devil is in the detail, though because of the sheer number, breadth, and volatility of technologies used in modern architectures and the immense volume, velocity, and variety of data they produce. The Dynatrace Software Intelligence Hub helps enterprises easily apply AI to all technologies and data sources and unlock automation at scale.
While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments.
As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. These actionable insights drive the faster and more accurate responses that DevOps and SRE teams require. But what is observability?
This public cloud management discipline provides IT, DevOps , CloudOps, finance, and business teams with continuous cost optimization tools and accurate accounting of cloud resources. Further, a Flexera report found that small to medium-sized businesses spend approximately $1.2 That’s where FinOps can help.
This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. Dynatrace news.
And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine.
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