Finding flexibility with microservices, containers, and runtimes | SlashdotMedia AdOps Asset Management

Finding flexibility with microservices, containers, and runtimes

An introduction to the Forrester analyst report: How to Capture the Benefits of Microservice Design

There has always been a relationship between an application and the platform and services which run it. For a long time, that relationship was very tight and encompassed a lot of areas related to the application design, from the language the application could be written in to administrative behaviors like monitoring and logging, even things like transaction management, frontend UI development, or integration methods.

Finding flexibility with microservices, containers, and runtimes

An introduction to the Forrester analyst report: How to Capture the Benefits of Microservice Design

There has always been a relationship between an application and the platform and services which run it. For a long time, that relationship was very tight and encompassed a lot of areas related to the application design, from the language the application could be written in to administrative behaviors like monitoring and logging, even things like transaction management, frontend UI development, or integration methods.

Druva turns up the heat in the DRaaS market with new enterprise features

Protecting and managing data is becoming more complex and costly, especially with ransomware, GDPR, backup/recovery and data locality requirements. That’s why your organization should start thinking about deploying a cloud backup and disaster recovery solution to overcome these challenges.

Read the 451 Research Report and you’ll discover why the DRaaS market is “whitehot,” key DRaaS trends, and how Druva fits into the equation:

Exponential acceleration of data moving to the cloud
Data protection giving way to data management
Merging of backup, DR, and business continuity functions
Need for analytics and machine learning techniques to determine the relative value of data

Use AIOps for a Data-Driven Approach

Having multiple monitoring tools often inhibits the collaboration that is critical to resolving problems quickly. What's the answer? AIOps tools.

AIOps tools, or IT Ops tools powered by AI and ML, provide a consistent view of monitoring data. This helps I&O leaders improve collaboration and resolution times, support internal service owners and delight external customers.

Download this Gartner report to learn more.

Market Guide for AIOps Platforms

AIOps platforms enhance IT operations through greater insights by combining big data, machine learning and visualization. I&O leaders should initiate AIOps deployment to refine performance analysis today and augment to IT service management and automation over the next two to five years.

But which AIOps platforms can you trust, and which ones should you consider? Download this Gartner report to learn more.

Giving Up on Digitization Initiatives

A Survey of Operations Executives

6 reasons why operations executives give up on digitization.

Digitization means finding solutions that solve for both manual processes and legacy systems, but digitizing with or without IT’s involvement is risky, costly, and time consuming. It’s no surprise operation executives are giving up. In fact, 58% are reverting back to manual processes.

TrackVia surveyed over 200 enterprise operation executives in March of 2019 to discover why operations teams are unable to evolve.

Download Giving Up on Digitization Initiatives: A Survey of Operations Executives to learn more about their experience and why there’s light at the end of the tunnel.

Manual Processes Amid Utility Service Providers

A Survey Report from the Utilities’ Perspective.

Utility companies and service providers are at a tipping point.

TrackVia surveyed 200 utility companies about the business risks of service providers using manual processes and the results are staggering. With timeconsuming and costly data entry, reporting, and auditing, as well as the inability to quickly access accurate information to address outage and customer service issues, it’s clear service providers need to evolve.

Use AIOps for a Data-Driven Approach

Having multiple monitoring tools often inhibits the collaboration that is critical to resolving problems quickly. What's the answer? AIOps tools.

AIOps tools, or IT Ops tools powered by AI and ML, provide a consistent view of monitoring data. This helps I&O leaders improve collaboration and resolution times, support internal service owners and delight external customers.

Download this Gartner report to learn more.

Market Guide for AIOps Platforms

AIOps platforms enhance IT operations through greater insights by combining big data, machine learning and visualization. I&O leaders should initiate AIOps deployment to refine performance analysis today and augment to IT service management and automation over the next two to five years.

But which AIOps platforms can you trust, and which ones should you consider? Download this Gartner report to learn more.

Abderden Report: Onward to the Future of IT Support

In this Aberdeen report, we look at how new technologies and evolving consumer expectations are transforming IT support. Organizations primed to deliver innovative solutions and meet the high expectations of customers can expedite support, resolve issues faster, increase productivity, reduce costs, and leave end-users satisfied.

InVision Improves Performance by 75% with LightStep

InVision is the leading product design collaboration platform that powers the world’s best user experiences. With intuitive tools for ideation, design, prototyping, and design management, the InVision platform gives users everything they need for digital product design, all in one place. More than 4 million people – at tens of thousands of companies, including eighty percent of the Fortune 100, and brands like Airbnb, Amazon, HBO, Netflix, Slack, Starbucks, and Uber rely on the InVision platform to make products users love.

Global Microservices Trends Report

The old elements of logging, metrics, and tracing are insufficient for today’s complex software systems. If you’re adopting microservices, you know that faster root cause analysis and the ability to confidently measure and explain performance is key to improve efficiency and save developer time.

Read this report to understand:

Countless disconnected timeseries statistics aren’t enough to explain the behavior of modern applications.
Tools must identify, triage, and explain latency issues, as organizations adopt microservices
It’s critical to evolve our thinking about latency measurements and how they play a part in diagnostic workflows.

Performance is a Shape – Not a Number

Report Describes How to Confidently Measure and Explain Performance

The old elements of logging, metrics, and tracing are insufficient for today’s complex software systems.

If you’re considering or in the midst of adopting microservices, you know that faster root cause analysis and the ability to confidently measure and explain performance is key to improve efficiency and save developer time. Read this report to understand why:

Countless disconnected time-series statistics aren’t enough to explain the behavior of modern applications.
Tools must identify, triage, and explain latency issues, as organizations adopt microservices.
It’s critical to evolve our thinking about latency measurements and how they play a part in diagnostic workflows.

Global Microservices Trends Report

The old elements of logging, metrics, and tracing are insufficient for today’s complex software systems. If you’re adopting microservices, you know that faster root cause analysis and the ability to confidently measure and explain performance is key to improve efficiency and save developer time.

Read this report to understand:

Countless disconnected timeseries statistics aren’t enough to explain the behavior of modern applications.
Tools must identify, triage, and explain latency issues, as organizations adopt microservices
It’s critical to evolve our thinking about latency measurements and how they play a part in diagnostic workflows.

Performance is a Shape – Not a Number

Report Describes How to Confidently Measure and Explain Performance

The old elements of logging, metrics, and tracing are insufficient for today’s complex software systems.

If you’re considering or in the midst of adopting microservices, you know that faster root cause analysis and the ability to confidently measure and explain performance is key to improve efficiency and save developer time. Read this report to understand why:

Countless disconnected time-series statistics aren’t enough to explain the behavior of modern applications.
Tools must identify, triage, and explain latency issues, as organizations adopt microservices.
It’s critical to evolve our thinking about latency measurements and how they play a part in diagnostic workflows.