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. AWS continues to improve how it handles latency issues. Dynatrace news.

Lambda 176

Lambda AWS Serverless Hardware 176

Dynatrace

FEBRUARY 2, 2022

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. As such, it’s important when creating your SLOs to avoid these common mistakes that can cause more headaches for your DevOps teams. Dynatrace news. Today, online services require near 100% uptime.

DevOps 189

DevOps Metrics Best Practices Latency 189

Dynatrace

JANUARY 18, 2023

As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. DevOps and DevSecOps practices help organizations release software faster and more frequently, paving the way for digital transformation.

DevOps 191

DevOps Best Practices Innovation Strategy 191

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges.

DevOps 213

DevOps Traffic Efficiency Servers 213

Dynatrace

JULY 18, 2023

However, scaling up software development requires more tools along the software product lifecycle, which must be configured promptly and efficiently. Efficient environment configuration at scale One of software engineers’ most significant challenges is managing the numerous tools and technologies required for the software product lifecycle.

Best Practices 183

Best Practices Code Infrastructure Latency 183

Dotcom-Montior

OCTOBER 6, 2021

It also encompasses a strategy and set of practices and principles across service offerings and is closely tied to DevOps and operations. To think about it another way, site reliability engineering is where the traditional IT role, or system administration role, and DevOps meet. At that time, the team was made up of software engineers.

Engineering 67

Engineering DevOps Monitoring Google 67

Dynatrace

JULY 6, 2020

Get insights into various aspects of database performance, including SQL queries or procedures, SQL modifications, SQL transactions, any detected problems or availability issues, hotspots, and more—all the valuable information that a DevOps team could ask for to optimize database performance. Get a comprehensive view of your batch jobs.

Azure 145

Azure Cloud Big Data Virtualization 145

Dotcom-Montior

DECEMBER 8, 2021

SREs and DevOps teams can use these incidents to build back better and improve their systems and services. By ITIL definition, the service desk may take the form of incident resolution or service requests, but whatever the case, the primary goal of the service desk to provide quick and efficient service. What is an Incident?

Social Media 90

Social Media Monitoring Latency DevOps 90

Dotcom-Montior

NOVEMBER 16, 2021

Like DevOps, these SRE principles serve as a guide to drive alignment as it relates to aligning, meeting, and supporting the goals of the organization. As defined by the Google SRE initiative, the four golden signals of monitoring include the following metrics: Latency. Monitoring can provide a way to differentiate between.

Monitoring 91

Monitoring Google DevOps Engineering 91

Dynatrace

MAY 5, 2021

For example, improving latency by as little as 0.1 latency is the number one reason consumers abandon mobile sites. With the help of the Dynatrace, organizations can proactively catch issues early to improve efficiency and eliminate complications through a shift-left approach to BizDevOps. Meanwhile, in the U.S.,

Benchmarking 177

Benchmarking Latency Speed Software 177

Dynatrace

FEBRUARY 24, 2021

Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. So which is it: SRE vs DevOps, or SRE and DevOps? DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes. DevOps as a philosophy. SRE vs DevOps?

DevOps 185

DevOps Software Engineering Speed Google 185

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

JUNE 1, 2023

Serving as agreed-upon targets to meet service-level agreements (SLAs), SLOs can help organizations avoid downtime, improve software quality, and promote automation in the DevOps lifecycle. In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider.

Latency 171

Latency Website Traffic Virtualization 171

Dynatrace

JUNE 1, 2023

Serving as agreed-upon targets to meet service-level agreements (SLAs), SLOs can help organizations avoid downtime, improve software quality, and promote automation in the DevOps lifecycle. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. or above for the checkout process.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

Serverless 241

Serverless Efficiency Lambda Azure 241

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. The good news is AI-augmented applications can make organizations massively more productive and efficient. What is AI observability?

Strategy 216

Strategy Artificial Intelligence Storage Cloud 216

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 6, 2022

Observability can identify the baseline user experience and allow teams to improve it by optimizing page load times or reducing latency. DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting. Watch webinar now!

DevOps 226

DevOps Innovation Infrastructure Analytics 226

Dynatrace

OCTOBER 4, 2021

As a result, API monitoring has become a must for DevOps teams. API monitoring captures and analyzes metrics that describe the vital aspects of an application’s performance, which can help developers gain a deeper understanding of the health and efficiency of the APIs they’re utilizing. So what is API monitoring?

Monitoring 172

Monitoring Latency Metrics Availability 172

Dynatrace

OCTOBER 1, 2021

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. But what is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dotcom-Montior

NOVEMBER 24, 2021

The interconnections between nodes and the rest of the system makes it possible to communicate and share data efficiently. This also includes latency, or the time it takes for data or a request to get through a network. Reliability. Another key benefit of distributed systems is reliability. Fault Tolerance.

Systems 74

Systems Monitoring Hardware Network 74

Adrian Cockcroft

NOVEMBER 18, 2019

OPN304 Learnings from migrating a service from JDK 8 to JDK 11 AWS Lambda improved latency by migrating to JDK 11 with Amazon Corretto. Learn more from Kevin DeJong, AWS Senior DevOps Cloud Architect, Matt Meyers, Lead Cloud Engineer Optum, and Marissa Crosby,Product Manager Optum.

Open Source 40

Open Source AWS Lambda Serverless 40

Adrian Cockcroft

NOVEMBER 18, 2019

OPN304 Learnings from migrating a service from JDK 8 to JDK 11 AWS Lambda improved latency by migrating to JDK 11 with Amazon Corretto. Learn more from Kevin DeJong, AWS Senior DevOps Cloud Architect, Matt Meyers, Lead Cloud Engineer Optum, and Marissa Crosby,Product Manager Optum.

Open Source 40

Open Source AWS Lambda Serverless 40

Smashing Magazine

AUGUST 20, 2021

Platforms such as Snipcart , CommerceLayer , headless Shopify , and Stripe enable you to manage products in a friendly UI while taking advantage of the benefits of Jamstack: Amazon’s famous study reported that for every 100ms in latency, they lose 1% of sales. Jamstack sites are typically among the fastest on the web.

Ecommerce 140

Ecommerce Website Government Internet 140

Abhishek Tiwari

NOVEMBER 3, 2018

Using CDN for the whole website, you can offload most of the website traffic to your CDN which will handle not only large traffic spikes but also reduce the latency of content delivery. GraphQL - created and open sourced by Facebook - is a powerful query language for APIs and a more efficient alternative to REST.

Systems 63

Systems Cache Website Network 63

Percona

APRIL 17, 2023

The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. We can also extend this for automation(using Ansible, for example), which in general, DevOps engineers tend to create a pool of mongos.

Best Practices 52

Best Practices Design Tuning Database 52

Dynatrace

AUGUST 5, 2019

I wear many hats in my job and while I officially call myself a “ DevOps Activist “, my official title at Dynatrace is Director of Strategic Partners. Remember: This is a critical aspect as you do not want to migrate a service and suddenly introduce high latency or costs to a system that you forgot about having a dependency with!

Cloud 31

Cloud Traffic Database Network 31

Testsigma

FEBRUARY 12, 2021

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. Gartner’s 2020 projections first included the trend of hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92