Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. According to a Gartner report, “By 2023, 60% of organizations will use infrastructure automation tools as part of their DevOps toolchains, improving application deployment efficiency by 25%.”. Weighing MLOps vs. AIOps.

Serverless 254

Serverless Infrastructure Innovation DevOps 254

Dynatrace

APRIL 6, 2022

AWS Lambda is one of the most popular serverless compute services in the market. Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Insights into how serverless functions impact user experience.

Lambda 159

Lambda AWS Serverless Infrastructure 159

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 214

Lambda AWS Serverless Latency 214

Dynatrace

APRIL 6, 2022

AWS Lambda is one of the most popular serverless compute services in the market. Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Insights into how serverless functions impact user experience.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

APRIL 7, 2023

What is a Lambda serverless function? Despite being serverless, the function still requires infrastructure on which to run. Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes.

Lambda 204

Lambda AWS Serverless Latency 204

Dynatrace

APRIL 5, 2021

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. It also enables DevOps teams to connect to any number of AWS services or run their own functions. The benefits of serverless Lambda functions.

Lambda 173

Lambda AWS Serverless Hardware 173

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. DevSecOps practices build on DevOps, ensuring that security concerns are top of mind as developers build code. The education of employees about security awareness.

Best Practices 251

Best Practices DevOps Education Serverless 251

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. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 185

DevOps Artificial Intelligence Healthcare Innovation 185

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 news. This allows releases to remain secure by default. You can find further details in Dynatrace Documentation.

Serverless 201

Serverless DevOps Cloud Metrics 201

Dynatrace

NOVEMBER 9, 2021

Data from all these sources is collected and analyzed by Dynatrace’s AI engine, Davis, that’s built into the core of the platform (not bolted on) to drive intelligent and definitive problem identification and root-cause analysis. Figure 4 How Dynatrace enriches metrics, traces, and logs to identify problems with precise root cause analysis.

DevOps 207

DevOps Innovation Cloud Programming 207

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it. Learn more.

Cloud 176

Cloud DevOps Open Source Retail 176

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

DECEMBER 22, 2021

They are particularly important in distributed systems, such as microservices architectures. 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.

Artificial Intelligence 169

Artificial Intelligence Metrics Architecture DevOps 169

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 181

Monitoring Artificial Intelligence DevOps Serverless 181

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. Getting precise root cause analysis when dealing with several layers of virtualization in a containerized world. Dynatrace news. Operational excellence. Reliability.

Azure 178

Azure Monitoring Virtualization Metrics 178

O'Reilly

MAY 19, 2020

Interestingly, multi-cloud, or the use of multiple cloud computing and storage services in a single homogeneous network architecture, had the fewest users (24% of the respondents). First, our survey didn’t ask respondents if they (or their organizations) have adopted microservices architecture.

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

NOVEMBER 10, 2020

Suddenly, not just DevOps, but infrastructure teams, developers, and operations teams are all challenged to understand how performance problems within applications or cloud services may impact the performance of the overall infrastructure. As a developer, you might use Google Cloud Function for serverless components. Your feedback.

Google 209

Google Cloud Serverless Innovation 209

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. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. We’d love to hear your suggestions and ideas.

AWS 236

AWS Efficiency Azure Cloud 236

Dynatrace

MAY 23, 2022

Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed. As a result, while cloud architecture has enabled organizations to develop applications iteratively, it also increased exposure to vulnerabilities.

Strategy 214

Strategy Innovation Cloud Serverless 214

Dynatrace

JUNE 1, 2021

Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution. Business KPIs and user journey analysis (for example, login to check out) to optimize user experiences and provide transparency into how changes impact KPIs. Improved infrastructure utilization.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

JULY 16, 2020

The Fan-Out/Fan-In pattern is nowadays found when building serverless functions for high scalability. You might also call it divide and conquer which has been around even before serverless existed. If you want to know more, I can recommend to take a look at Concurrency in Go. I found a good read here. Food for thought.

Cache 233

Cache Serverless Efficiency Tuning 233