Enterprises are rapidly adopting cloud-native architectures and design patterns to help deliver business values faster, improve user experience, maintain a faster pace of innovation, and ensure high availability and scalability of their products. Cloud-native applications leverage modern practices like microservices architecture, containerization, DevOps, infrastructure-as-code, and automated CI/CD processes.  Cloud-native application security is a cloud-first approach used to deploy applications securely at scale by embedding security into the software development lifecycle to detect vul ..read more

Enterprises are embracing cloud-native technologies to migrate their monolithic services to a microservices architecture. Containers, microservices, container orchestration, automated deployments, and real-time monitoring enable you to take advantage of cloud-native capabilities. However, the infrastructure required to run cloud-native apps differs from traditional ones.  This article will describe Infrastructure as Code, its benefits, and the popular IaC tools. You will also learn how to model infrastructure as part of the CI/CD pipeline and incorporate it into the standard development l ..read more

Kubernetes is an open-source container orchestration system for automating the deployment and management of containerized applications. Kubernetes provides capabilities like service discovery, horizontal autoscaling, and load balancing, while ensuring that application configurations are declarative and that systems are self-healing. In this article, I will explain how to monitor your Kubernetes cluster and implement automated health checks, and discuss the various monitoring tools available. Monitoring Challenges with Kubernetes Monitoring is one of the top challenges for organizations that em ..read more

Editor’s Note: This is one of my articles that was originally published in the DZone’s Trend Report for Application Security. Organizations are rapidly embracing cloud-native design patterns to modernize their business operations and enable faster time to market. Cloud-native architecture combines technologies like microservices, containers, automated CI/CD pipelines, container orchestration, unified observability, and cloud infrastructure. However, modern-day cloud computing services face security risks like data breaches, application vulnerabilities, account hijacking, insecure APIs, malicio ..read more

Have you faced performance issues with your Elasticsearch cluster during write-heavy workloads? Have you encountered limitations with your Elasticsearch indexing speed? Have you bumped into latency problems where your searches are taking too long to execute or faced challenges troubleshooting operational issues with your Elasticsearch cluster? Have you struggled to improve the stability of your Elasticsearch cluster during outage situations or ever wondered which metrics to look at from an Elasticsearch monitoring perspective? If your answer to any of the above questions is “yes,” then this ar ..read more

DevOps is the combination of people, processes, and tooling that allows you to deliver high-quality software. Today, enterprises are adopting DevOps practices more quickly than ever before, and the DevOps approach to software development is becoming more widely accepted. This is because DevOps provides a collaborative working environment for developers and IT operations teams, allowing them to deliver business features faster. And since automation has eliminated many manual processes, enterprises are deploying business functionalities to production quicker and with more reliability. However, t ..read more

The Cloud Native Computing Foundation’s flagship conference – ‘KubeCon + CloudNativeCon NA’ kicked off today with more than 22000 attendees. I was very impressed with the virtual event platform, which allows you to attend sessions, network with other attendees, and network with event sponsors in the Expo hall. Attending these large-scaled events virtually is a very different experience, but I found it very convenient to attend sessions of my choice and talk with a few of the sponsors based on my availability. In this article, I would like to summarize the key CNCF announcements made ..read more

The Azure Data team at Microsoft has recently launched new ways for you to learn Azure SQL. There are many free resources available to the community in the form of YouTube videos, blogs, learning paths in Microsoft Learn, GitHub content, hands-on workshops, and live Azure SQL Bootcamp. Hooray! #LearnAzureSQL is live! Join @BobWardMS & @AnalyticAnna to learn how to bring your SQL Server expertise to Azure SQL:#MicrosoftLearn: https://t.co/9tPNdIY5IF YouTube: https://t.co/iMiGNQTJK8@Ch9: https://t.co/pmFAnLhYRY GitHub: https://t.co/xkHflcqGci pic.twitter.com/3TXau9aL53 — Microsoft SQL Serv ..read more

Elasticsearch 7.1 is a major release that provides improved resiliency, scalability, and more efficient query processing.  I wanted to update my AWS ES cluster and wanted to find out if there is an in-place upgrade available for Elasticsearch version upgrade from 6.2 to 7.1 with zero downtime. If not, what is the recommended strategy for performing this upgrade? Is there any data loss going to happen in this process? In this article, I will explain how to upgrade your AWS Elasticsearch manually via AWS Console and in an automated fashion using CloudFormation. Amazon ES provides in-place u ..read more

Problem Statement I have configured Error Logs for my Elasticsearch cluster, and I see a frequent error below in the logs — org.elasticsearch.ElasticsearchException$1: Result window is too large, from + size must be less than or equal to: [10000] but was [15020]. See the scroll api for a more efficient way to request large data sets. This limit can be set by changing the [index.max_result_window] index level setting. Explanation My understanding is that when we are doing a search that is too wide, Elasticsearch is limiting it to 10,000 results by default for better memory usage & fa ..read more