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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.
DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Find and prevent application performance risks A major challenge for DevOps and security teams is responding to outages or poor application performance fast enough to maintain normal service.
Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. AI-powered automation and deep, broad observability for serverless architectures. Dynatrace news. New to Dynatrace?
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.
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. So what exactly does “serverless” mean, and how can your organization benefit from it?
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?
Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. Dynatrace has extended the platform’s deep and broad observability and advanced AIOps capabilities to all major serverless architectures. Dynatrace Advances Application Security with Real-Time Attack Detection and Blocking.
In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Google Cloud Functions is a serverless compute service for creating and launching microservices. What is Google Cloud Functions?
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. Its approach to serverless computing has transformed DevOps.
As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.
Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. DevOps teams need a solution that puts automation and observability at the forefront of microservices management. Focused on delivering business value. To fully answer “What are microservices?”
Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. DevOps teams need a solution that puts automation and observability at the forefront of microservices management. Focused on delivering business value. To fully answer “What are microservices?”
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.
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. Serverless platforms. It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. Service mesh.
The insightful piece featured on InfoQ delves into the intricacies of Azure Functions’ Cold Starts, illuminating a topic frequently stirring debate within the serverless computing sphere.
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.
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?
AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. However, close to half (~48%) use Microsoft Azure, and close to one-third (~32%) use Google Cloud Platform (GCP).
And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.
Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The principles of cloud-native architecture. What are cloud-native services?
Microsoft has recently unveiled several new features for Azure Cosmos DB to enhance cost efficiency, boost performance, and increase elasticity. These features are burst capacity, hierarchical partition keys, serverless container storage of 1 TB, and priority-based execution. By Steef-Jan Wiggers
DevOps and cloud-based computing have existed in our life for some time now. DevOps is a casket that contains automation as its basic principle. Today, we are here to talk about the successful amalgamation of DevOps and cloud-based technologies that is amazing in itself. Why Opt For Cloud-Based Solutions and DevOps?
Hello friendly Serverless Insights subscribers! We’ll get to all of those later on, but first I’m going to start the news this time with a roundup of an interesting day last week… News from the Serverless World Keynote Stage at Velocity 2018 Last week I was at O’Reilly’s Velocity conference in San Jose. Great stuff!
Those in the boardroom have just as much to gain from adopting APM solutions as those on the front lines of DevOps efforts. Telemetry data from a serverless environment is quite different from a database or a virtual machine (VM), for example, but a business still needs to normalize and centrally manage all the information as it comes in.
Figure 5: Experimental PostgreSQL Vacuum Monitoring What about serverless? With serverless, you truly pay only for what you’re actively using, and unused resources aren’t typically easy to be left flying around, but the move to serverless isn’t without cost. become the responsibility of AWS, GCP, or Azure.
Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there.
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