Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. It involves both the collection and storage of logs, as well as aggregation, analysis, and even the long-term storage and destruction of log data.

Systems 192

Systems Cloud Analytics DevOps 192

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Cold storage and rehydration.

Analytics 190

Analytics Storage Retail Monitoring 190

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. The platform aims to help DevOps teams optimize the allocation of compute resources across all containerized workloads in deployment. At the same time, it also introduces a large amount of complexity. Self-healing.

Open Source 201

Open Source Storage Analytics Innovation 201

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

DECEMBER 15, 2022

We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. ITOps vs. DevOps and DevSecOps.

Artificial Intelligence 211

Artificial Intelligence DevOps Hardware Virtualization 211

Dynatrace

OCTOBER 4, 2022

Logs assist operations, security, and development teams in ensuring the reliability and performance of application environments. Logs are just one source of data that development and operations teams use to optimize application and infrastructure performance. Data variety is a critical issue in log management and log analytics.

Analytics 230

Analytics Storage Infrastructure Metrics 230

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. And 93% of CIOs say AIOps and automation are increasingly vital to alleviating the shortage of skilled IT, development, and security professional. Enlisting a data lakehouse, IT automation can manage the next wave of cloud complexity.

Cloud 185

Cloud Artificial Intelligence Innovation Analytics 185

Dynatrace

NOVEMBER 15, 2021

Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. DevOps teams often use a log monitoring solution to ingest application, service, and system logs so they can detect issues at any phase of the software delivery life cycle (SDLC). What is log monitoring?

Analytics 218

Analytics Monitoring Artificial Intelligence DevOps 218

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. And 93% of CIOs say AIOps and automation are increasingly vital to alleviating the shortage of skilled IT, development, and security professional. Enlisting a data lakehouse, IT automation can manage the next wave of cloud complexity.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

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

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. Enter causal AI.

AWS 217

AWS Artificial Intelligence Analytics Cloud 217

Dynatrace

FEBRUARY 15, 2023

This complexity creates silos that affect the ability of IT, development, security, and business teams to achieve the awareness they need to make data-driven decisions. Development and DevOps. As organizations adopt more cloud-based technologies, the increased volume and variety of data from these ecosystems drive complexity.

Analytics 130

Analytics Storage Cloud 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 SLO examples that every DevOps and SRE team should consider. Let’s dig into these foundational SLO examples.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

NOVEMBER 29, 2021

Red Hat OpenShift is a cloud-based Kubernetes platform that helps developers build applications. It also protects your development infrastructure at scale with enterprise-grade security. For organizations looking to transform and modernize, OpenShift allows you to scale so you can grow your business through cloud-native development.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

SEPTEMBER 13, 2023

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. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 256

AWS Efficiency Azure Cloud 256

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 229

Google Cloud Serverless Innovation 229

Dynatrace

SEPTEMBER 30, 2021

Recently, 53 Dynatracers convened in a Zoom room for 5 action-packed hours to take on our first AWS GameDay challenge, an event we participated in to help our developers accelerate their AWS certification path. What is the value of AWS training and certification? Then this one’s for you.

AWS 218

AWS Best Practices Analytics Cloud 218

Dynatrace

NOVEMBER 28, 2023

Davis AI efficiently identified the deployment change as the potential root cause for the malfunctioning of nginx. This approach can be a valuable resource for developers in understanding underlying issues and identifying opportunities for enhancements. To illustrate this concept, consider the scenario below. What’s next?

Traffic 268

Traffic Best Practices Strategy Engineering 268

Dynatrace

AUGUST 21, 2023

OpenTelemetry works by providing developers with APIs, SDKs, and tools to instrument their code and collect telemetry data such as logs, metrics, and traces. Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics.

Open Source 205

Open Source Analytics Lambda Metrics 205

Dynatrace

FEBRUARY 15, 2023

Today, IT and development teams have myriad responsibilities in managing and working with cloud environments. Teams can now use an observability platform to unify operations, business, and development data to gain automatic, precise answers about cloud environments and user experience.

Analytics 130

Analytics Storage Cloud Code 130

Percona

DECEMBER 27, 2023

In our conversations with developers and engineers during the conference, we confirmed the CNCF GItOps Microsurvey data – 91% are already using GitOps. They also remove toil and allow engineers to focus on application development vs platform engineering work.

Cloud 80

Cloud Open Source Strategy Best Practices 80

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. Since then, the concept of site reliability engineering has evolved and made its way into the broader software development industry and is now its own role within organizations.

Engineering 67

Engineering DevOps Monitoring Google 67

InfoQ

JUNE 26, 2023

Microsoft has recently unveiled several new features for Azure Cosmos DB to enhance cost efficiency, boost performance, and increase elasticity. These features are burst capacity, hierarchical partition keys, serverless container storage of 1 TB, and priority-based execution. By Steef-Jan Wiggers

Azure 85

Azure Serverless Performance Storage 85

IO River

NOVEMBER 2, 2023

It enables DevOps teams to manage, configure, and automate infrastructure in a streamlined fashion. Being open-source, Terraform invited a vast community of developers and companies to rally around it. With the entire infrastructure codified, specialized teams, including DevOps and DevSecOps, can operate with enhanced synergy.

Open Source 52

Open Source DevOps AWS Azure 52

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. For nonurgent messages, texting is a more efficient approach. Dynatrace news. What is a message queue?

Monitoring 209

Monitoring Serverless Programming Speed 209

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. For nonurgent messages, texting is a more efficient approach. Dynatrace news. What is a message queue?

Monitoring 208

Monitoring Serverless Programming Speed 208

Testsigma

JULY 3, 2021

The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. It involves setting up a data center that meets security compliances and other factors like physical components, virtual elements, storage management, physical infrastructure, etc.

Cloud 57

Cloud Testing Storage DevOps 57

IO River

NOVEMBER 2, 2023

It enables DevOps teams to manage, configure, and automate infrastructure in a streamlined fashion. Being open-source, Terraform invited a vast community of developers and companies to rally around it. With the entire infrastructure codified, specialized teams, including DevOps and DevSecOps, can operate with enhanced synergy.

Open Source 40

Open Source DevOps AWS Azure 40

Tasktop

MAY 17, 2021

Gene Kim, author of The DevOps Handbook and The Unicorn Project. Bureau of Labor Statistics estimating that demand for software developers is expected to rise by 22% between 2019 to 2029. . Starting with its most pressing problems first, the company was able to: Address the high costs of their cloud storage. Register today.

DevOps 59

DevOps Metrics Innovation Storage 59

Abhishek Tiwari

JULY 22, 2023

In the fast-paced world of software development, the ability to deploy applications quickly and efficiently is crucial for organizations. In traditional software development practices, compliance checks often occur late in the development lifecycle, closer to deployment.

AWS 52

AWS Best Practices Infrastructure Traffic 52

Testsigma

DECEMBER 1, 2020

It consists of a combination of right practices and tools which help QA to test the software more effectively and efficiently. Building an efficient testing automation framework takes time but it is worth the efforts considering the long-term benefits. It is specially built for the teams of today that are Agile and are using DevOps.

Testing 62

Testing Website DevOps Mobile 62

Abhishek Tiwari

JANUARY 6, 2018

Telepresence is already a powerful local development environment for services running in Kubernetes. PowerfulSeal is inspired by Chaos Monkey and developed by Bloomberg engineering team. It randomly deletes pods in the Kubernetes cluster encouraging and validating the development of failure-resilient services. Weave Scope.

Open Source 111

Open Source DevOps Storage Engineering 111

Testsigma

FEBRUARY 12, 2021

With the latest developments in IT sector services, the sector of QA testing has seen significant improvement and growth. The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. Gartner’s 2020 projections first included the trend of hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Testsigma

JULY 31, 2021

While well-planned automation testing can lead to an optimized development effort, an ill-planned one can easily eat up a large part of your development effort. Software providers handle maintenance and upgrades on their own; this means you can focus on testing and shipping efficient products. Picture credit: Meme generator.

Mobile 52

Mobile Software Software Testing 52

Testsigma

JULY 14, 2020

Test data storage can be achieved by any of the below options-. Since there are separate folders/locations of the test data and test scripts, there is clarity in the development and maintenance of both. Time-efficient. The data-driven automation testing aids the Agile and DevOps intricacies to a great extent. CSV files.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

O'Reilly

MAY 19, 2020

It seems to us that the results of our survey offer a point-in-time snapshot of the latest trends in cloud, microservices, distributed application development, and other emergent areas. More than one-third have adopted site reliability engineering (SRE); slightly less have developed production AI services. Respondent Demographics.

Cloud 141

Cloud Serverless AWS Architecture 141

Testsigma

MAY 7, 2020

To quote the study, “For every USD 14 million delivery by the software development and QA team, a hidden USD 3 million was being spent on data management. In simple terms, Test data management (TDM), is a process which involves management- planning, design, storage and retrieval of test data. Data subset creation.

Testing 60

Testing Storage Database Processing 60