Dynatrace

JULY 13, 2021

With the increasing adoption of agile software development, DevOps , progressive continuous delivery, and Site Reliability Engineering (SRE) practices, many companies are aiming to deliver better software faster and more safely while keeping up with customer demands. Accelerate DevOps and Scale SRE with Service Level Objectives (SLOs).

Cloud 237

Cloud DevOps Benchmarking Speed 237

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. Our Cloud Automation Roadshow brings the latest cloud-native automation practices to our attendees. Cloud Automation SLIs and SLOs can be changed through your git service and process of choice.

Cloud 212

Cloud DevOps Azure Virtualization 212

Dynatrace

JUNE 2, 2022

Site reliability engineering (SRE) continues to gain popularity as organizations embrace hybrid cloud strategies and IT automation at scale. SRE is becoming an essential discipline in organizations that use DevOps (the combination of development and operations) and agile methodologies. Dynatrace news.

DevOps 147

DevOps Innovation Engineering Benchmarking 147

Dynatrace

APRIL 30, 2021

Many organizations that have integrated their software development and operations into DevOps practices struggle with efficiency because they’re juggling disparate DevOps tools, or their tools aren’t meeting their needs. The status quo of the DevOps toolchain. How to approach transforming your DevOps processes.

DevOps 206

DevOps Speed Efficiency Engineering 206

Dynatrace

SEPTEMBER 8, 2022

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services. Most infrastructure and applications generate logs.

Systems 180

Systems Cloud Analytics DevOps 180

Dynatrace

MAY 3, 2022

Cloud observability is fast becoming an imperative as more organizations adopt multicloud IT strategies. To adapt, many are turning to AIOps and other automation technologies to solve the complex issues that accompany cloud-native architecture. Multicloud complexity obscures cloud observability. Dynatrace news.

Cloud 172

Cloud DevOps Architecture Technology 172

Dynatrace

SEPTEMBER 21, 2023

As organizations become cloud-native and their environments more complex, DevOps teams are adapting to new challenges. Site reliability engineering first emerged to address cloud computing’s new performance needs. Understanding the platform engineer role DevOps is a constantly evolving discipline.

Games 229

Games Engineering DevOps Education 229

Scalegrid

OCTOBER 31, 2019

Wondering which high availability framework to use for your PostgreSQL deployments ? We compared the top 3 frameworks, PostgreSQL Automatic Failover (PAF) vs. Replication Manager (repmgr) vs. Patroni , in our Managing High Availability in PostgreSQL series. PostgreSQL High Availability Framework Infographic.

Availability 187

Availability Azure AWS DevOps 187

Dynatrace

NOVEMBER 3, 2023

The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. The result is a cloud-native approach to software delivery. These components are specific, predefined resources, such as libraries and templates, that are made available to all developers using the platform.

Engineering 205

Engineering DevOps Software Engineering Scalability 205

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Connecting data siloes requires daunting integration endeavors.

Cloud 256

Cloud Azure Analytics AWS 256

Dynatrace

MAY 5, 2021

Observability should be as cloud-native as Kubernetes itself. More ActiveGate capabilities will be available as Kubernetes pods later this year. A foundation for delivering cloud-native injection using the best of both worlds: Automatic “app-only” via Kubernetes admission controllers along with OneAgent Kubernetes monitoring.

Cloud 218

Cloud Traffic Monitoring Open Source 218

Dynatrace

MAY 31, 2023

Keeping pace with modern digital transformation requires ensuring that applications are responsive, resilient, and always available amid increased complexity. Maintaining reliable uptime and consistent service quality has become more complex as organizations expand their computing footprints across multiple data centers and in the cloud.

Best Practices 216

Best Practices DevOps Latency Metrics 216

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Dynatrace

FEBRUARY 10, 2022

The need for automation and orchestration across the software development lifecycle (SDLC) has increased, but many DevOps and SRE (site reliability engineering) teams struggle to unify disparate tools and cut back on manual tasks. Now, Security, DevOps, and SRE teams can automate their delivery pipeline. Atlassian Bitbucket.

Artificial Intelligence 223

Artificial Intelligence DevOps Azure Cloud 223

Percona

DECEMBER 27, 2023

The evolution of cloud-native technology has been nothing short of revolutionary. As we step into 2024, the cornerstone of cloud-native technology, Kubernetes, will turn ten years old. Keynotes were focused on how Kubernetes and Cloud Native help businesses embrace the new AI era. We expect that number to rise higher in 2024.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments. Enter causal AI.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

OCTOBER 16, 2023

While customers use observability platforms to identify issues in cloud environments, the next chapter of value is removing manual work from processes and building IT automation into their organizations. They can be proactive in identifying issues in cloud environments. “It With Grail, for example, a DevOps team can pre-scan logs.

Innovation 190

Innovation DevOps Cloud Efficiency 190

Dynatrace

MAY 16, 2019

Over the last year we’ve seen more and more Dynatrace customers move from DevOps to NoOps. These organizations have built automation into their DevOps environments to a degree that there is no longer a need for a traditional Ops team to manage software in-house. Dynatrace news. Welcome to the Dynatrace ACM Survey.

Innovation 184

Innovation Cloud DevOps Best Practices 184

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation. DevOps, SREs, developers… everyone will ask questions. The DevOps people looking end-to-end.

Development 255

Development DevOps Programming Cloud 255

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. 05:00 – Quick Start – Connect Cloud Automation.

DevOps 243

DevOps Open Source Cloud Azure 243

Dynatrace

DECEMBER 13, 2023

This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. And a staggering 83% of respondents to a recent DevOps Digest survey have plans to adopt platform engineering or have already done so. Data indicates these technology trends have taken hold.

Technology 197

Technology Technology Artificial Intelligence Analytics 197

Scalegrid

JANUARY 24, 2019

Redis Cluster is the native sharding implementation available within Redis, an open-source in-memory data structure project, that allows you to automatically shard across multiple Redis nodes without having to rely on external tools and utilities. Some of the advanced benefits of Redis Clusters include: High Availability.

Availability 113

Availability Open Source AWS DevOps 113

DZone

FEBRUARY 16, 2022

There are umpteen performance testing tools available in the commercial market as well as in the open-source repositories. The primary target audience of Iter8 - an open-source, cloud-native platform - (pronunciation - Iter-eight), are DevOps, MLOps, developers, performance engineers, and testers in this order.

Performance Testing 246

Performance Testing Performance Testing Open Source 246

Scalegrid

OCTOBER 2, 2019

This management solution for Redis™ allows startups up to enterprise-level organizations automate their Redis™ operations on Microsoft Azure dedicated cloud servers, alongside their other open source database deployments, including MongoDB , MySQL and PostgreSQL. PALO ALTO, Calif.,

Azure 100

Azure Availability Open Source Virtualization 100

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance. SRE focuses on automation.

Engineering 250

Engineering DevOps Government Latency 250

Dynatrace

DECEMBER 10, 2021

This causes challenges for DevOps and SRE teams when extending the lifecycle with additional steps, integrating new third-party software such as pipeline tools or ITSM tools, or just replacing one tool with another. Dynatrace helps to orchestrate processes independently of DevOps tooling. To address the problem of processes (i.e.,

DevOps 177

DevOps Cloud Testing Tools Strategy 177

Dynatrace

JUNE 26, 2023

Software automation is the practice of creating software applications to reduce or eliminate human intervention in repetitive, time-consuming IT tasks and cloud operations. It provides valuable insight into complex public, private, and hybrid cloud IT structures, systems, and frameworks. What is software automation?

Software 181

Software Software Analytics Big Data 181

DZone

JANUARY 23, 2022

There are various High availability deployment patterns that are employed and with the advent of containerization bundled with the power of DevOps, more efficient patterns of solving this problem have also emerged. In today's world, cloud providers take care of the rest usually.

Hardware 243

Hardware DevOps Network Storage 243

Dynatrace

NOVEMBER 14, 2023

DevOps practices have been established in the last decade to accomplish this goal and deal with the dynamics of modern, cloud-native software architectures. The Cloud Native Computing Foundation defines a Golden Path as a “templated composition of well-integrated code and capabilities for rapid project development.”

Government 187

Government Best Practices DevOps Engineering 187

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. Cloud Automation release validation with quality gates query service-level indicators and compare them against service-level objectives.

Serverless 206

Serverless DevOps Cloud Metrics 206

Dynatrace

AUGUST 25, 2023

Upgrades and modifications, if available, are complex and expensive, so it isn’t easy to keep them secure and functional. Enable DevOps teams to modernize legacy apps Too many HHS IT organizations have an inventory of outdated applications with duplicative functionality, questionable states of health, and security vulnerabilities.

Government 196

Government Infrastructure Programming Cloud 196

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Machine learning algorithms use vast amounts of data to train systems and allow them to draw accurate conclusions based on available information. Why machine learning falls short in cloud-native environments.

Artificial Intelligence 170

Artificial Intelligence DevOps Analytics Cloud 170

Dynatrace

AUGUST 16, 2021

Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. awareness ? Try it yourself.

Software 246

Software Software Open Source Azure 246

Dynatrace

JULY 6, 2020

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. Dynatrace news. Deeper visibility and more precise answers.

Azure 145

Azure Cloud Big Data Virtualization 145

Dynatrace

APRIL 21, 2022

With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale. In enterprise environments, DevOps and SRE teams struggle to optimize and troubleshoot databases and the applications they support at scale.

Database 237

Database DevOps Analytics Servers 237

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance. SRE focuses on automation.

Engineering 170

Engineering DevOps Government Latency 170

Dynatrace

NOVEMBER 28, 2022

Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies. The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability.

Lambda 218

Lambda AWS Serverless Latency 218