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
Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. What is AWS observability? Amazon EC2.
A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. There are a few key bestpractices to keep in mind that formulate the perfect DevSecOps maturity model. The education of employees about security awareness.
Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. However, not all cloud strategies are the same. Some organizations prefer a serverless approach. Serverless computing provides on-demand access to back-end services on a per-use basis. Increased agility.
Cloud-native application development in AWS often requires complex, layered architecture with synchronous and asynchronous interactions between multiple components, e.g., API Gateway, Microservices, Serverless Functions, and system of record integration.
In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.
As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.
Indeed, organizations view IT modernization and cloud computing as intertwined with their business strategy and COVID-19 recovery plans. As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. AWS re:Invent 2021: Modernizing for cloud-native environments.
As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. What are serverless applications?
Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.
In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. Serverless architecture expands.
When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Observability with AWS and beyond.
When managing cloud-native applications, it's essential to have end-to-end visibility into what's happening at any given time. This is especially true because of the distributed and dynamic nature of cloud-native apps, which are often deployed using ephemeral technologies like containers and serverless functions.
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. A few bestpractices. Microservices benefits.
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. A few bestpractices. Microservices benefits.
Take one more step towards securing your serverless application. Here's an in-depth analysis of serverless security where we are discussing what exactly serverless security means, what are the risks involved and how you can mitigate it using the bestpractices.
Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Serverless platforms. So applications don’t have to wrestle over shared resources during runtime. Service mesh.
Database analysis determines if the database complies with configuration standards and security bestpractices (for example, strong passwords) to avoid data exfiltration, and whether the database itself (such as Oracle) contains known vulnerabilities. Most traditional assessment tools aren’t well suited for cloud applications.
” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. Solving for SR. Dynatrace can help.
If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of bestpractices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.
The problem is that they called this refactoring a microservice to monolith transition, when it’s clearly a microservice refactoring step, and is exactly what I recommend people do in my talks about Serverless First. His first edition in 2015 was foundational, and he updated it in 2021 with a second edition.
” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. Solving for SR. Dynatrace can help.
Azure provides a wide variety of cloud services with globally distributed applications. Running containers in the cloud is also a very popular use case for Azure. These challenges make Azure observability critical for building and monitoring cloud-native applications. Observability in the cloud can be hard to achieve.
Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.
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. Operational excellence. Performance efficiency.
In today’s complex multicloud environments, ensuring that your cloud applications are protected and secure is critical. The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services.
Firecracker: lightweight virtualisation for serverless applications , Agache et al., By building Firecracker specifically for serverless and container applications, it was possible to make simplifying assumptions opening up a new design point. NSDI’20. The design of Firecracker. no support for USB, video, and audio devices).
For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The high response rate tells us that serverless is garnering significant mindshare in the community.
The evolution of cloud-native technology has been nothing short of revolutionary. As we step into 2024, the cornerstone of cloud-native technology, Kubernetes, will turn ten years old. Keynotes were focused on how Kubernetes and Cloud Native help businesses embrace the new AI era. We expect that number to rise higher in 2024.
Serverless helps you manage all the resources and improve business focus. However, there are challenges to the adoption of serverless architecture. So, here are the bestpractices to overcome the challenges of adopting serverless archietecture
Efficient configuration of AWS Lambda functions is highly critical when you're expecting an optimal performance of your serverless applications. This blog discusses potential serverless performance bottlenecks and ways through which you can finetune AWS Lambda performance.
We’re currently in a technological era where we have a large variety of computing endpoints at our disposal like containers, Platform as a Service (PaaS), serverless, virtual machines, APIs, etc. Treating these different processes as code will ensure that bestpractices are followed. with more being added continually.
Dynatrace is enthused about this because Tanzu extends VMware offerings with a seamless, hybrid experience in building, operating and managing application workloads across cloud and on-premise environments – and Dynatrace was built from the ground up for this purpose.
Start moving existing apps into a DIY cloud environment - VMs and managed DB services. Adopt DevSecOps best-practices. Explore serverless functions to create Skills++: Induct Technical Architects, Developer Experience (DevX) 50-100 Engineers Focus: Finding new ways to add more value quickly for your customers by exploiting data.
Change is inevitable, and as programming languages continue to lean in to optimization for new trends in the cloud, microservices, big data, and machine learning, each language and its ecosystem will continue to adapt in its own unique way. KotlinConf sold out three years in a row with more than 1,700 attendees in 2019.
AWS Lambda is Amazon’s serverless technology for running your code in the cloud with zero administration. You can even use Lambda, with its cheap hosting model for rapid prototyping, and only later take advantage of the NServiceBus abstraction to easily shift hosting to container-based deployment or even to a competing cloud platform.
Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. This session revisits the pillar and its bestpractices.
We try to follow bestpractice by serving as much as we can over a CDN, avoiding as many third-party scripts as possible, and using simple SVG graphics instead of bitmap PNGs. We are hosted on Google Cloud Platform, and the Google Cloud CDN requires that the Cache-Control header contains “public”. It wasn’t enough.
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