Dynatrace

JANUARY 11, 2023

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.

Cloud 222

Cloud Monitoring Best Practices Infrastructure 222

Dynatrace

APRIL 25, 2023

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?

Serverless 207

Serverless Lambda Azure AWS 207

Dynatrace

NOVEMBER 18, 2021

Cloud-native observability is a prerequisite for companies that need to meet these expectations. Logs include critical information that can’t be found elsewhere, like details on transactions, processes, users, and environment changes. The example below includes analysis of a payment issue. Dynatrace news.

Analytics 224

Analytics Cloud Java Serverless 224

Dynatrace

APRIL 22, 2022

As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. American Family turned to observability for cloud operations. Additionally, Dynatrace’s Micha? ski explains.

Cloud 168

Cloud Lambda Serverless AWS 168

Dynatrace

MAY 9, 2022

For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. 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. Dynatrace news.

Strategy 198

Strategy Cloud Infrastructure Metrics 198

Dynatrace

FEBRUARY 23, 2022

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. It does so by creating repeatable, automated software-driven processes.

Serverless 265

Serverless Infrastructure Innovation DevOps 265

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.

Google 220

Google Cloud Serverless Innovation 220

Dynatrace

APRIL 7, 2023

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?

Lambda 215

Lambda AWS Serverless Latency 215

Dynatrace

NOVEMBER 28, 2022

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.

Lambda 225

Lambda AWS Serverless Latency 225

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. In many cases, organizations don’t discover vulnerabilities until after they have been exploited.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

NOVEMBER 17, 2020

New cloud-native technologies make observability more important than ever…. Every tap in a mobile app triggers requests that, potentially, travel through a myriad of microservices, routed from one service to the next by service meshes, calling several serverless functions. Automatic topology analysis. Near-zero overhead.

Analytics 156

Analytics Technology Technology Cloud 156

Dynatrace

OCTOBER 8, 2020

We’ve worked closely with our partner AWS to deliver a complete, end-to-end picture of your cloud environment that includes monitoring support for all AWS services. By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda.

Lambda 294

Lambda AWS Programming Serverless 294

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. What is AWS Lambda? The Amazon Web Services ecosystem. How does AWS Lambda work?

Lambda 180

Lambda AWS Serverless Hardware 180

Dynatrace

NOVEMBER 22, 2021

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.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

JUNE 20, 2023

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. This restriction made it impossible to totally export all traces from Apigee unless the sampling rate was below the maximum, in which case they could use Google Cloud Trace.

Open Source 193

Open Source Google Serverless Azure 193

Dynatrace

SEPTEMBER 13, 2023

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 best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

NOVEMBER 22, 2021

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. AWS: A service for everything. Amazon EC2.

Best Practices 211

Best Practices AWS Monitoring Serverless 211

Dynatrace

NOVEMBER 10, 2021

Conventional approaches to application security can’t keep pace with cloud-native environments that rely on agile methodologies, API-driven architectures, microservices, containers, and serverless functions. Dynatrace Cloud Automation is currently available to all Dynatrace Managed and SaaS customers as a SaaS instance.

Serverless 212

Serverless DevOps Cloud Metrics 212

Dynatrace

OCTOBER 17, 2022

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. CloudOps includes processes such as incident management and event management. The four stages of data processing. AIOps use cases.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Dynatrace

NOVEMBER 20, 2020

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.

Artificial Intelligence 250

Artificial Intelligence Serverless Analytics Innovation 250

Dynatrace

OCTOBER 13, 2021

Vulnerability assessment is the process of identifying, quantifying, and prioritizing the cybersecurity vulnerabilities in a given IT system. In all, there are seven types of vulnerability assessments, each with its own focus and methods: Application analysis has two types: static and dynamic. What is vulnerability assessment?

Infrastructure 170

Infrastructure Open Source Virtualization Operating System 170

Dynatrace

JULY 7, 2022

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.

Architecture 200

Architecture Serverless Azure Programming 200

Dynatrace

MAY 19, 2023

For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. Network traffic growth is the main reason for increasing spending, largely because of the adoption of hybrid and multi-cloud architectures. Without the network, nothing will happen,” Ziemianowicz said.

Network 215

Network Monitoring Performance Traffic 215

O'Reilly

NOVEMBER 12, 2019

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.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

Dynatrace

MARCH 22, 2023

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.

Open Source 198

Open Source Artificial Intelligence Internet Internet 198

Dynatrace

NOVEMBER 9, 2021

The driver for APM to Observability is the complexity cloud environments bring to organizations. The cloud is where Enterprise organizations are transforming, and dynamic multi-clouds are the platform of choice. Traditional approaches and tooling simply don’t work in the new cloud world. DevOps and Cloud Ops Automation.

DevOps 218

DevOps Innovation Cloud Programming 218

Dynatrace

DECEMBER 9, 2020

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Observability for heterogeneous cloud-native technologies is key. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces.

Java 233

Java Traffic Strategy Architecture 233

Dynatrace

APRIL 21, 2022

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. Cost optimization.

Azure 188

Azure Monitoring Virtualization Metrics 188

Dynatrace

FEBRUARY 15, 2023

Especially when seamless end-to-end solutions are needed, it’s necessary to add relevant business context to data to unlock the value of insights that are hidden in the vast amount of observability, security, and business data derived from modern clouds, and overcome the challenges of data that’s locked in organizational silos.

Government 164

Government Serverless Analytics Metrics 164

Dynatrace

MAY 23, 2022

In addition, as businesses of all kinds adopt cloud-native and open source technologies, their environments become more flexible. Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed.

Strategy 225

Strategy Innovation Cloud Serverless 225

Dynatrace

SEPTEMBER 20, 2022

A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. Introducing release validations into your continuous delivery pipeline allows for automated analysis of the quality of your new software versions and planned releases.

Best Practices 262

Best Practices DevOps Education Serverless 262

Dynatrace

DECEMBER 22, 2021

Once teams centralize their telemetry data, an observability platform can provide analysis that enriches the value of the data. Observability platforms are becoming essential as the complexity of cloud-native architectures increases. Observability platforms provide root-cause analysis.

Artificial Intelligence 178

Artificial Intelligence Metrics Architecture DevOps 178

The Netflix TechBlog

NOVEMBER 17, 2022

A distinct, NN-based, video processing block can evolve independently, be used beyond video downscaling and be combined with different codecs. For example, a service can be called to perform complexity analysis for a high-quality input video, or generate encodes meant for the actual Netflix streaming.

Network 292

Network Media Innovation Efficiency 292

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JANUARY 12, 2021

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Observability is the new standard of visibility and monitoring for cloud-native architectures. Dynatrace news. Leaders in tech are calling for radical change.

Monitoring 191

Monitoring Artificial Intelligence DevOps Serverless 191

Dynatrace

NOVEMBER 8, 2021

Here’s a brief primer on APM and how it has changed for cloud-native environments, and some tips on what to look for in modern APM solutions. In recent years, APM has expanded to encompass cloud-native environments and distributed applications composed of microservices. Root-cause analysis. APM solutions: A primer.

Artificial Intelligence 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

Dynatrace

DECEMBER 15, 2022

While many organizations have embraced cloud observability to better manage their cloud environments, they may still struggle with the volume of entities that observability platforms monitor. The key to getting answers from log monitoring at scale begins with relevant log ingestion at scale. Log ingestion strategy no.

Strategy 180

Strategy AWS Open Source Transportation 180