Dynatrace

OCTOBER 8, 2020

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. This means, you don’t need to change even a single line of code in the serverless functions themselves. Serverless functions and services are highly dynamic and ephemeral.

Lambda 345

Lambda AWS Programming Serverless 345

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 258

Lambda AWS Serverless Hardware 258

Dynatrace

MARCH 8, 2022

At the conference, Dynatrace made several announcements to empower its game-changing community of engineers, developers and security pros. Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. At Dynatrace Perform 2022 in February, the theme was “Empowering the game changers.”.

Code 246

Code Software Software Serverless 246

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. Its approach to serverless computing has transformed DevOps.

AWS 246

AWS Lambda Artificial Intelligence Serverless 246

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 246

Lambda AWS Serverless Latency 246

Dynatrace

APRIL 5, 2021

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 observability problem of the serverless approach. Dynatrace news.

Azure 204

Azure Serverless IoT Lambda 204

Dynatrace

OCTOBER 11, 2021

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?

Google 246

Google Cloud Serverless Azure 246

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 246

Lambda AWS Serverless Latency 246

Dynatrace

JANUARY 23, 2024

Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Enter causal AI.

Performance 246

Performance DevOps Innovation Energy 246

Dynatrace

APRIL 29, 2021

Many Site Reliability Engineers could do without the frustrations of managing virtual or bare-metal compute nodes. 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 news.

AWS 219

AWS Serverless Java Virtualization 219

Dynatrace

JANUARY 12, 2022

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. To know which services are impacted, DevOps teams need to know what’s happening with their messaging systems. Seamless observability of messaging systems is critical for DevOps teams.

Analytics 246

Analytics Systems DevOps Healthcare 246

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. One large team generally maintains the source code in a centralized repository visible to all engineers, who commit their code in a single large build. Use fewer resources. Microservices managed.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. One large team generally maintains the source code in a centralized repository visible to all engineers, who commit their code in a single large build. Use fewer resources. Microservices managed.

Architecture 246

Architecture Software Software Development 246

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. Dynatrace news. Leaders in tech are calling for radical change. Turning raw data into actionable business intelligence.

Monitoring 246

Monitoring Artificial Intelligence DevOps Serverless 246

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.

Google 264

Google Cloud Serverless Innovation 264

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. DevOps and Cloud Ops Automation. Figure 6 DevOps automation and Cloud Ops automation use cases.

DevOps 246

DevOps Innovation Cloud Programming 246

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 246

DevOps Artificial Intelligence Healthcare Innovation 246

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. One large team generally maintains the source code in a centralized repository that’s visible to all engineers, who commit their code in a single build. One team may build it, but three separate DevOps and IT teams must maintain it.

Architecture 246

Architecture Serverless Azure Programming 246

Dynatrace

NOVEMBER 11, 2022

A common challenge of DevOps teams is they get overwhelmed with too many alerts from their observability tools. DevOps teams don’t need just more noise—they need smarter alerting that is automatic, accurate, and actionable with precise root cause analysis. Dynatrace Davis automatically discovers what’s machine knowable.

DevOps 245

DevOps C++ Serverless Processing 245

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 94

Serverless Architecture FinTech Infrastructure 94

Dynatrace

NOVEMBER 9, 2022

Many organizations turn to cloud migration and cloud application modernization to gain the benefits of serverless environments, such as flexibility, scalability, and more cost-effective cloud infrastructure. . How to maximize serverless benefits and overcome its challenges – blog . What is serverless computing?

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

SEPTEMBER 9, 2022

Or, the team might use specific serverless designs as part of the modernization efforts. Similarly, you may need to further develop DevOps and DevSecOps practices to ensure the healthy and proper lifecycles of an application modernization strategy. Monitor and measure progress during the migration.

Strategy 264

Strategy Benchmarking Serverless Cloud 264

Dynatrace

OCTOBER 13, 2021

Cloud infrastructure analysis ensures the secure configuration of cloud infrastructure including virtual machines, containers, cloud-hosted databases, and serverless services. This rich information is fed into our AI engine, Davis , which then computes a Davis Security Score for every vulnerability. The world is changing fast.

Infrastructure 243

Infrastructure Open Source Virtualization Operating System 243

Simform

AUGUST 9, 2022

The post DevOps best practices for serverless appeared first on Simform - Product Engineering Company.

Best Practices 52

Best Practices Serverless DevOps Engineering 52

O'Reilly

MAY 19, 2020

More than one-third have adopted site reliability engineering (SRE); slightly less have developed production AI services. Software engineers represent the largest cohort, comprising almost 20% of all respondents (see Figure 1 ). Presence of a Site Reliability Engineering (SRE) team within respondents’ organizations.

Cloud 144

Cloud Serverless AWS DevOps 144

Dynatrace

JANUARY 8, 2020

Rather than just “keeping the lights on,” the modern I&O team must evolve to become responsible for building and maintaining the cloud platform, empowering DevOps teams to build, deploy and run applications themselves. With Dynatrace, our AI engine Davis is built into the platform at the core. Correlation engines lack context.

Infrastructure 230

Infrastructure Cloud Monitoring Metrics 230

Dynatrace

OCTOBER 17, 2019

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. This infrastructure can be integrated into a DevOps pipeline to dynamically build and destroy environments as the pipeline executes.

Code 167

Code Infrastructure DevOps Cloud 167

Adrian Cockcroft

JANUARY 17, 2022

There were five trends and topics for 2021, Serverless First, Chaos Engineering, Wardley Mapping, Huge Hardware, Sustainability. I did a few talks on this subject early in the year, and linked this to the sustainability advantages of serverless architectures.

Serverless 98

Serverless Hardware AWS Architecture 98

Dynatrace

JUNE 30, 2020

In my role as DevOps and Autonomous Cloud Activist at Dynatrace, I get to talk to a lot of organizations and teams, and advise them on how to speed up delivery while also increasing the delivery in order to minimize the impact on operations. Dynatrace news.

Lambda 205

Lambda Monitoring Cloud DevOps 205

Percona

FEBRUARY 24, 2023

Use reduction at scale requires a cultural shift, and engineers must consider the cost as they think of memory or bandwidth as another deployment KPI. It then uses the engines’ native asynchronous replication to update the read replica whenever there is a change to the source DB instance.

Cloud 133

Cloud Serverless AWS Storage 133

Dynatrace

APRIL 21, 2022

To do that, organizations must evolve their DevOps and IT Service Management (ITSM) processes. In comparison, the Dynatrace platform reliably takes that burden off human operators by utilizing its causation-based AI engine, Davis. Instead, it remains up to human experts to correlate and analyze the data in time-consuming war rooms.

Azure 246

Azure Monitoring Virtualization Metrics 246

Abhishek Tiwari

FEBRUARY 26, 2020

The evolution of your technology architecture should depend on the size, culture, and skill set of your engineering organization. There are no hard-and-fast rules to figure out interdependency between technology architecture and engineering organization but below is what I think can really work well for product startup.

Technology 82

Technology Technology Architecture Engineering 82

Dynatrace

NOVEMBER 8, 2021

Dynatrace is built on a unified data model to enable sophisticated automation and intelligence — two capabilities that ITOps and DevOps teams are finding increasingly important as the complexity of application and cloud environments exponentially increases. Dynatrace received more 5-star reviews than any other vendor as of July 31, 2021.

Artificial Intelligence 246

Artificial Intelligence Monitoring Infrastructure Cloud 246

High Scalability

OCTOBER 26, 2018

More: @swardley : I occasionally hear companies announcing they are kicking off a "DevOps" program and I can't but feel sympathy for them. Contraining the engineers tends to lead to poorer results; giving them choices produces a better chance of success. They'll love it and you'll be their hero forever. it's a bit sad really.

Internet 27

Internet Internet Scalability Serverless 27

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time.

AWS 305

AWS Efficiency Azure Cloud 305

The Symphonia

JUNE 19, 2018

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!

Serverless 40

Serverless AWS DevOps Open Source 40

Percona

DECEMBER 27, 2023

The field of Platform Engineering has witnessed significant advancements, as evidenced by the publication of the CNCF platform whitepaper and the introduction of a dedicated Platform Engineering day at the upcoming KubeCon event. They also remove toil and allow engineers to focus on application development vs platform engineering work.

Cloud 113

Cloud Open Source Strategy Best Practices 113