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The latest News and Information on Cloud monitoring, security and related technologies.

Why Serverless? The Next Wave Of Cloud Cost Optimization

Traditionally, applications are developed and deployed on local servers managed by developers. This keeps the whole process under the control of one development team that is responsible for keeping the system running smoothly. With serverless computing, however, the server management and code execution within applications takes place remotely, under the control of the cloud service provider rather than an in-house development team.

5 Misconceptions About Cloud Cost Optimization Tools

Unless you are one of the 1% of enterprises that have zero workloads running in the publice cloud, you need a cloud cost optimization tool. Yes, you do. And if you have workloads running in multiple public clouds—which somewhere in the neighborhood of 85% of enterprises do—you really need a cloud cost optimization tool. If I’m preaching to the choir, feel free to skip to the end of this article where you’ll find a link to try Virtana Optimize for free.

Top Cloud Security Trends 2022

Enterprise cloud use cases are changing and expanding, and companies are now realizing new security challenges that need to be resolved. Cloud security solutions can include everything from new security tools to more advanced training to investing in new team strategies. See below to learn about the tops trends cloud security experts are seeing in the market.

Azure vs. AWS vs. GCP: A Direct Comparison

Ever since the pandemic hit the world in 2020, many businesses and institutions have begun to adopt cloud computing into their operations. With more employees working from home, companies have moved from on-site data centers and chosen cloud computing services. Although cloud computing is not new, its relevance has increased during the last year and has revolutionized how businesses and institutions are operating now.

Pepperdata CEO Ash Munshi on the Future of Big Data APM in 2022

Recent data shows that the global APM (application performance management) market is booming. Currently valued at $6.3 billion, the global APM industry is expected to reach $12 billion by 2026. This growth indicates the increasing importance of monitoring, diagnosing, and improving application performance. Visibility and automation is key to sustaining the growth and evolution of APM.

Application composability - a cloud computing perspective

Let’s remember the time in the 2000s when companies introduced their cloud computing offerings at a large scale. New services were put into the popular IaaS, PaaS, and SaaS categories. New kinds of storage and messaging technologies were promoted. Also, novel approaches were discussed, such as designing applications for horizontal scalability and eventual consistency.

Easy Lambda Function Monitoring with the AWS Lambda InfluxDB Template

AWS Lambda is a serverless compute service that allows you to run code without having to manage servers. Lambda provides autoscaling and bills only on compute time, so you aren’t paying for unused resources. Some common use cases are file processing, stream processing, and acting as a backend for web and mobile applications. AWS Lambda functions can be invoked with external HTTP requests as well as by events triggered by over 200 different AWS services.

Application Modernization Using Microsoft Azure - Top 4 Reasons Why You Can't Ignore It

In the digital transformation era, any organization on its growth to glory must consider developing and investing in modernizing their application portfolios. That includes healthy competition, legacy modernization, and creating a unique identity from the rest of others. Moreover, advancements in technology have forced organizations to reconstruct themselves to the new normal. Application modernization is all about the process of repurposing or consolidating current business applications.

How the new k6 Cloud app plugin makes it easy to correlate QA data and system metrics in Grafana

One of the common challenges when doing performance testing is the difficulty of correlating the metrics of your application with your testing results. Having available QA, infrastructure, and application metrics together allows engineering teams to better understand the behavior of their systems during the testing, helping to detect and prevent potential issues in their applications.