Operations | Monitoring | ITSM | DevOps | Cloud

Elastic is prepping for Elasticsearch 8.0, but in the meantime is rolling out upgrades and features with Elasticsearch 7.7. The new version introduces asynchronous search as well as changes with Elasticsearch clusters, mapping, SQL enhancements, snapshots and machine learning. This post will cover just a few of the highlights of the new release. Besides asynchronous search, ES 7.7 also introduces multi-class classification, reduced heap usage, inference time features, and better password security.

Introduction One of the SRE team’s goals at Moogsoft is to make sure our feature teams have an easy path from local code changes to production. Changes rolling out to production mean new features, bug fixes, optimizations, and more, which translates into value added for our customers. In short, at Moogsoft we are all about making sure our product is continually evolving, and one way the SRE group helps is by building shared Jenkins functionality our engineers understand and can use quickly.

The trend of working from home has hit the ground running, and businesses have turned to strategies and tools that will ensure a no-plummet productive environment. There are two major forks in the road when it comes to provisioning remote endpoints—users can use their own devices, or the company can hand over corporate-owned devices.

Creating security policies for the devices connected to your network is critical to ensuring that company data is safe. This is especially true as companies adopt a bring-your-own-device model and allow more personal phones, tablets, and laptops to connect to internal services. These devices, or endpoints, introduce unique vulnerabilities that can expose sensitive data if they are not monitored.

In today’s ever-changing world of DevOps, it is essential to follow best practices. That goes for security, access control, resource limits, etc. One of the most important things in the world of DevOps is continuous integration and continuous delivery, or CI/CD. Continuous integration is a crucial part of an efficient deployment. We are all guilty of repeating manual steps over and over again – especially when it comes to node configuration.

ITOM or IT Operations Management is an umbrella term that covers all activities involved in the setup, design, configuration, deployment, and maintenance of the infrastructure that supports business services in an organization. Simply put, ITOM is how the IT landscape is managed in your company. From network security, configuration, and monitoring to devices, applications, and personnel, ITOM is what keeps your IT going. Generally, ITOM leverages several tools to manage these activities individually.

There has been a lingering perception that Java applications are slower than applications written in other languages. So, if performance is important for your application, you should not be considering Java as the programming language to use. This perception was true about 20 years ago, when Java was initially used for developing applications. In the early Java implementations, it took a long time for the Java Virtual Machine (JVM) to start.

Despite the difficulties we’ve all experienced during this pandemic, it has been fascinating to watch how human beings have come together as communities all over the world to support each other, and our Cloud Native community is no different.

Mirco Hering is principal director of APAC DevOps and Agile with Accenture. He supports major public and private sector companies in Australia and overseas in their search for efficient IT delivery. Mirco blogs about IT delivery at NotAFactoryAnymore.com and is author of “DevOps For The Modern Enterprise: Winning Practices to Transform Legacy IT Organizations.”

The traditional method of planning server, network, and storage capacity is to look at the usage peaks and then add a safety margin. Most cloud hosting is planned this way. The idea that you only pay for what you use is not based on actual usage, rather on the capacities you initially specify. Most cloud migrations involve a ‘lift and shift’ approach of moving an application to a different host with minimal maintenance.