Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. where an error occurred at the code level.

Analytics 221

Analytics Storage Infrastructure Metrics 221

Dynatrace

JULY 29, 2022

As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Consider the following ways teams can apply log analytics to on-premises and multicloud infrastructures: Application deployment verification. Cold storage and rehydration. Inadequate context.

Analytics 214

Analytics Storage Retail Monitoring 214

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 192

Open Source Storage Analytics Innovation 192

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. Most infrastructure and applications generate logs. Optimally stored logs enable DevOps, SecOps, and other IT teams to access them easily.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. 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.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

DECEMBER 15, 2022

ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. 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 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

JULY 29, 2022

As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Consider the following ways teams can apply log analytics to on-premises and multicloud infrastructures: Application deployment verification. Cold storage and rehydration. Inadequate context.

Analytics 181

Analytics Storage Retail Monitoring 181

Scalegrid

MARCH 14, 2024

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Indeed, according to Dynatrace data , 61% of IT leaders say observability blind spots in multicloud environments are a greater risk to digital transformation as teams lack an easy way to monitor their infrastructure end to end.

Cloud 177

Cloud Artificial Intelligence Innovation Analytics 177

Dynatrace

NOVEMBER 15, 2021

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). Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. Accelerated innovation.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

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

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 177

Latency Website Traffic Virtualization 177

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Indeed, according to Dynatrace data , 61% of IT leaders say observability blind spots in multicloud environments are a greater risk to digital transformation as teams lack an easy way to monitor their infrastructure end to end.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

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 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This helps you stay compliant while working with sanitized logs without losing the event context, which provides valuable insights into DevOps, SRE, or business teams’ observability goals.

Storage 227

Storage Government Network Infrastructure 227

Dynatrace

NOVEMBER 29, 2021

It also protects your development infrastructure at scale with enterprise-grade security. But OpenShift provides comprehensive multi-tenancy features, advanced security and monitoring, integrated storage, and CI/CD pipeline management right out of the box. Scale and manage infrastructure. OpenShift, DevOps, and CI/CD.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

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

FEBRUARY 15, 2023

Here are some examples: IT infrastructure and operations. Development and DevOps. Indeed, IT operations, security, and DevOps teams feel the strain of ever-growing cloud environments and the increasing amounts and types of data they generate. Teams need to move to automated, causal AI-based approaches to cloud observability.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Google Cloud Storage. Dynatrace news. Simplified cloud complexity with fully automated observability of Google Cloud. Google Cloud Datastore. Google Cloud Load Balancing.

Google 220

Google Cloud Serverless Innovation 220

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 246

AWS Efficiency Azure Cloud 246

Percona

FEBRUARY 24, 2023

Over-provisioned instances may lead to unnecessary infrastructure costs. Making the use of resources efficiently and ensuring that this does not impact the budget available for cloud computing is not a one-time fix but a continuous cycle of picking properly sized resources and eliminating over-provisioning.

Cloud 120

Cloud Serverless AWS Storage 120

IO River

NOVEMBER 2, 2023

The code is declarative, which means you specify what you want the final configuration to look like, and Terraform ensures the infrastructure matches that desired state.‍So, ‍Terraform is a revolution in the way we handle infrastructure. Background‍The idea of managing infrastructure through code wasn't initiated by HashiCorp.

Open Source 52

Open Source DevOps AWS Azure 52

Dynatrace

AUGUST 21, 2023

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. In most cases, the backend customers use for OpenTelemetry is either not capable of storing more than 1-5% of their traces, or it is not cost efficient to do so,” Kopp says.

Open Source 196

Open Source Analytics Lambda Metrics 196

Dotcom-Montior

OCTOBER 6, 2021

A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. It also encompasses a strategy and set of practices and principles across service offerings and is closely tied to DevOps and operations. What is Site Reliability Engineering? Performance. Monitoring.

Engineering 67

Engineering DevOps Monitoring Google 67

Dynatrace

SEPTEMBER 28, 2020

Before we dive into the technical implementation, let me explain the visual concept of this “Global Status Page”: Another requirement for this status page was that it has to be lightweight, with no data storage at all. Getting the problem status of all environments has to be efficient. js framework.

Storage 206

Storage Architecture Tuning Efficiency 206

IO River

NOVEMBER 2, 2023

The code is declarative, which means you specify what you want the final configuration to look like, and Terraform ensures the infrastructure matches that desired state.‍So, What Exactly is Terraform?‍Terraform Terraform is a revolution in the way we handle infrastructure. This level of granularity is not found in UI-managed systems.

Open Source 40

Open Source DevOps AWS Azure 40

Percona

DECEMBER 27, 2023

Oftentimes, it is a pillar of modern infrastructure strategy to avoid cloud vendor lock-in. Standardization and collaboration are key to sharing common knowledge and patterns across teams and infrastructures. However, 17% of organizations operate security separately from DevOps, lacking any DevSecOps initiatives.

Cloud 81

Cloud Open Source Strategy Best Practices 81

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. It allows organizations to define policies in a domain-specific language (DSL) tailored to infrastructure-as-code (IAC) configurations.

AWS 52

AWS Best Practices Infrastructure Traffic 52

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. Honestly, this is not time-effective at all if you’re aiming for efficiency and speed. This may require virtual and physical storage spaces, data centers, etc.

Cloud 57

Cloud Testing Storage DevOps 57

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Metrics on Grail “Metrics are probably the best understood data type in observability ,” says Guido Deinhammer, CPO of infrastructure monitoring at Dynatrace. But logs are just one pillar of the observability triumvirate.

Analytics 186

Analytics Innovation Metrics Database 186

Testsigma

JULY 31, 2021

Automated testing software can help you execute test cases swiftly and efficiently; from regression testing to offering a wider test coverage — you can achieve plenty with the right tool. From learning and upgrading to staffing and infrastructure — there are plenty of costs involved. Allow us to explain.

Mobile 52

Mobile Software Software Testing 52

Percona

JUNE 22, 2023

As such, fault tolerance is more expensive to implement because it requires dedicated infrastructure that completely mirrors the primary system. Components of high availability infrastructure Multiple copies of data Data redundancy helps prevent data loss due to hardware or software failures.

Availability 109

Availability Database Open Source Hardware 109

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. The concept is like text messaging — a feature most mobile phone users understand. If you need to send a message, you can call the person.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. The concept is like text messaging — a feature most mobile phone users understand. If you need to send a message, you can call the person.

Monitoring 199

Monitoring Serverless Programming Speed 199

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

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

Tasktop

JANUARY 9, 2020

Given that most large-scale organizations use at least three main tools in their software delivery toolchains (for development, testing and support), the cost of data extraction and storage begins to stack up and fast. Furthermore, many SaaS vendors purge data periodically to save on storage, limiting your access to historical data.

Software 59

Software Software Metrics Database 59