Dynatrace

MAY 8, 2023

With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency?

DevOps 219

DevOps Efficiency Monitoring Infrastructure 219

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. Understand and prevent issues with complete observability into your GCP services.

Google 220

Google Cloud Serverless Innovation 220

Dynatrace

MARCH 10, 2021

We are moving into the 2020s and smart integration and automation are driving the next innovation cycle in digital transformation and enterprise software. This is immensely powerful, and while it can cut through noise and give you precise answers and more – it can also help you move innovatively forward by enabling automated IT operations.

AWS 144

AWS Cloud Artificial Intelligence Innovation 144

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. GitOps practices can improve infrastructure management efficiency and stability.

DevOps 224

DevOps Infrastructure Speed Cloud 224

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 208

AWS Artificial Intelligence Analytics Cloud 208

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). DevOps: Applying AIOps to development environments. CloudOps: Applying AIOps to multicloud operations.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. Dynatrace news. This is fueling key DevSecOps trends in 2022.

Serverless 264

Serverless Infrastructure Innovation DevOps 264

Dynatrace

JULY 5, 2022

AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. In fact, according to a Forrester Consulting report , implementing an AIOps approach that provides proactive visibility helped companies improve operational efficiency and reduce false-positive alerts by 95%.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. A full-featured deterministic AIOps solution should lead to faster, higher-quality innovation, increased IT staff efficiency, and vastly improved business outcomes.

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting.

DevOps 230

DevOps Innovation Infrastructure Analytics 230

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

Dynatrace

MARCH 16, 2021

Accompanied by an easily visualized map of the original malfunction’s route through all downstream processes, the deterministic AI approach can find the exact point the problem was triggered and its downstream effects, so analysts can focus on implementing solutions, automating responses, and developing new innovations.

Artificial Intelligence 192

Artificial Intelligence Open Source Cloud Analytics 192

Adrian Cockcroft

NOVEMBER 18, 2019

OPN207 PartiQL: One query language for all of your data PartiQL is a SQL-compatible query language that makes it easy and efficient to process both structured (relational) data, as well as semi-structured, schemaless, and nested data, as typically found in open data formats in the Amazon S3 data lake and document-oriented databases.

Open Source 40

Open Source AWS Lambda Serverless 40

Adrian Cockcroft

NOVEMBER 18, 2019

OPN207 PartiQL: One query language for all of your data PartiQL is a SQL-compatible query language that makes it easy and efficient to process both structured (relational) data, as well as semi-structured, schemaless, and nested data, as typically found in open data formats in the Amazon S3 data lake and document-oriented databases.

Open Source 40

Open Source AWS Lambda Serverless 40