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For many companies, the journey to modern cloud applications starts with serverless. While these serverless services provide strong business benefits due to their flexible on-demand usage and pricing model, they also introduce new complexities for observability. Amazon Web Services (AWS), offers a wide range of serverless solutions.
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?
Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.
Protecting IT infrastructure, applications, and data requires that you understand security weaknesses attackers can exploit. Vulnerability assessment is the process of identifying, quantifying, and prioritizing the cybersecurity vulnerabilities in a given IT system. Dynatrace news. What is vulnerability assessment? Assess risk.
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.
If you’re doing it right, cloud represents a fundamental change in how you build, deliver and operate your applications and infrastructure. And that includes infrastructure monitoring. This also implies a fundamental change to the role of infrastructure and operations teams. Able to provide answers, not just data.
With the significant growth of container management software and services, enterprises need to find ways to simplify the process. CaaS automates the processes of hosting, deploying, and managing container technologies. Serverless container services. Process portability. million in 2020. Managed orchestration.
AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Organizations are realizing the cost savings and management benefits of serverless automation. What is AWS Lambda?
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?
AWS Lambda is the fastest growing technology for serverless workloads and helps developers innovate faster. It removes the burden of managing underlying infrastructure and is broadly adopted for cloud-native application environments. But serverless functions don’t exist in a vacuum. Dynatrace news.
Cloud Run brings serverless to containers. A managed platform built from Knative , Cloud Run automatically scales your stateless applications, abstracts away all infrastructure management (K8s), and lets you focus on what matters most: building fantastic applications. . Auto-monitoring of processes in containers .
With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.
Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. AWS: A service for everything. Amazon EC2.
Orchestrated Functions as a Microservice by Frank San Miguel on behalf of the Cosmos team Introduction Cosmos is a computing platform that combines the best aspects of microservices with asynchronous workflows and serverless functions. On the one hand, logic is divided between API, workflow and serverless functions. debian packages).
Announcement I will be speaking at Percona Live 2023 about serverless PostgreSQL. Introduction Recently, Percona introduced Percona Builds for Neon ( Introducing Percona Builds for Serverless PostgreSQL ), which makes it easy to install and experiment with serverless PostgreSQL. Interested in serverless PostgreSQL?
Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.
Available directly from the AWS Marketplace , Dynatrace provides full-stack observability and AI to help IT teams optimize the resiliency of their cloud applications from the user experience down to the underlying operating system, infrastructure, and services. How does Dynatrace help?
When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 2: Instrument compute and serverless cloud technologies. It only costs about $.01
What is a Lambda serverless function? Despite being serverless, the function still requires infrastructure on which to run. Lambda functions allow teams to run code for applications, back-end services, streaming processing, or any layer of the stack with less overhead. How does Dynatrace help?
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. It automatically manages all the computing resources those processes require.
In today’s increasingly complex environments, it’s simply impossible for a human operator to manually follow the highly dynamic nature of transactions within microservices and serverless functions. Reduce alert spam by detecting root causes without infrastructure thresholds. Instead of relying on events and thresholds, Davis 2.0
A Deep Dive Into Serverless UI With TypeScript. A Deep Dive Into Serverless UI With TypeScript. We’ll be breaking it all down into two parts: deploying a static web application (in this case a Notes application), and then a serverless web application to CloudFront using the Serverless UI library. Ikeh Akinyemi.
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?
Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure.
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. Learn more here. What is AWS Lambda?
In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.
Since its introduction by AWS in 2014, AWS Lambda has revolutionized the compute space and boosted the entire serverless movement. Gartner predicts that by 2025, 50% of all global enterprises will have deployed serverless function platforms as a service (fPaaS), up from only 20% today. Dynatrace news. file uploaded to AWS Lambda.
The complexity of hybrid environments with multiple virtual machines and cloud solutions like AWS EKS, Azure AKS, or GCP GKE with hundreds of containers and their constantly changing lifecycles creates challenges for app owners, developers, SREs, and infrastructure owners. This process can easily be automated for different types of problems.
Based on IDC’s research, 83% of enterprises are rationalizing, or optimizing, their technology infrastructure. According to IBM , application modernization takes existing legacy applications and modernizes their platform infrastructure, internal architecture, or features. What is application modernization?
Though serverless platforms relieve them from this burden, such platforms are built using Kubernetes alternatives that require different APIs, orchestration tools, and observability requirements. Dynatrace’s all-in-one Intelligent observability for Kubernetes serves both sides of any organization’s application deployment process.
These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. 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.
Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructureprocesses to help organizations create highly reliable and scalable software systems. Shift-left using an SRE approach means that reliability is baked into each process, app and code change.
Workloads using multi-threading and multi-processing, or performing many I/O operations, can experience lower execution time and, consequently, even lower costs based on execution time and configured memory size. The dynamic nature of serverless makes it difficult to identify and resolves issues in a timely manner.
Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting bogged down in managing all aspects of IT infrastructure as it scales. They need ways to monitor infrastructure, even if it’s no longer on premises. Right-sizing infrastructure.
Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously.
They often require painstaking manual processes to piece together an accurate picture and pinpoint the source of a problem. On average, organizations are using 10 monitoring solutions across their technology stacks despite having full observability into just 11% of their application and infrastructure environments.
Platform engineering creates and manages a shared infrastructure and set of tools, such as internal developer platforms (IDPs) , to enable software developers to build, deploy, and operate applications more efficiently. As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances.
With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. They enable IT teams to identify and address the precise cause of application and infrastructure issues.
As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. As a developer, you might use Google Cloud Function for serverless components. Dynatrace news. Google Cloud Datastore. Google Cloud Load Balancing. Google Cloud Pub/Sub.
Also, “serverless” means more than just Lambda functions. When using Lambda, you might soon end up using more serverless offerings, like databases, which makes emulating the same environment locally even harder. AWS offers a whole range of managed services that also fall into the “serverless” bucket.
Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructureprocesses to help organizations create highly reliable and scalable software systems. Shift-left using an SRE approach means that reliability is baked into each process, app and code change.
That embedded intelligence layer is what cuts through cloud complexity to automatically pinpoint an anomaly in a serverless app, Kubernetes pod, or cloud instance, and provides answers that are accurate and reliable enough to trigger auto-remediation procedures before users are affected. A new wave of innovation for AIOps.
For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. It’s more complex than it sounds.” As cloud entities multiply, along with greater reliance on microservices and serverless architectures, so do the complex relationships and dependencies among them.
Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. The process also preserves trace context data so Dynatrace can correlate traces from their origin to the edge.
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