Operations | Monitoring | ITSM | DevOps | Cloud

Elasticsearch is a popular search engine that can be used to swiftly and almost instantly store, explore, and analyze huge volumes of data. It offers a distributed, multitenant full-text search engine with an HTTP web interface and schema-free JSON documents on top of Apache Lucene. In this tutorial, we will demonstrate how to communicate with an Elasticsearch cluster using a Python Elasticsearch client.

If ServiceNow had a robotic process automation (RPA) fan club, I’d run for president. After seeing firsthand how an RPA-driven bot can improve productivity, I’m a firm believer in this technology. Not long ago, I was assigned a new project for my team: Use RPA to enhance data integration and management of our highly complex configure, price, quote (CPQ) system and processes, which our sales team uses to generate product configurations and pricing.

Today’s enterprises must have the capability to cope with the growing volumes of observability data, including metrics, logs, and traces. This data is a critical asset for IT operations, site reliability engineers (SREs), and security teams that are responsible for maintaining the performance and protection of data and infrastructure. As systems become more complex, the ability to effectively manage and analyze observability data becomes increasingly important.

Implementing SLAs, SLIs, and SLOs is essential for effective monitoring and maintaining optimal system performance. As companies grow, they may add a significant number of KPIs that burden their IT assets, leading to system sluggishness and employee complaints. Developers must balance business needs with IT processes, and SLAs, SLIs, and SLOs can help them achieve this balance.

For most enterprise NetOps teams, a discussion about the WAN is a discussion about the cloud. Whether it’s as simple as ensuring solid connectivity with a SaaS provider or designing a robust, secure, hybrid, and multi-cloud architecture, the enterprise wide area network is all about connecting us to our resources, wherever they are.

Synthetic monitoring is a means to monitor applications, pages, APIs, etc., from the user’s perspective so you can best understand how they perform for actual users. IT professionals use synthetic monitoring to run simple uptime checks and to monitor complex, mission-critical business transactions. Synthetic monitoring tools also allow you to test and monitor third-party applications, which can impact how your users experience your websites and web applications.

What is the cost of database performance for businesses today? The very shocking reality is most owners have absolutely no idea. In fact, I would even go so far as to say most business owners can’t even begin to understand everything this question might encompass.

As Gaurav described in his retail predictions blog, the impact of AI and automation on the retail industry should not be underestimated. The compound effects of improvements in technology and labour shortages have created an ideal scenario for innovation. Here we will take a deeper look into some of the AI and automation use cases that we have seen in retail and outline some of the areas of focus to help you get started.

Managing a data center traditionally requires entering the same information multiple times into disparate tools. This is a manual effort that is time-consuming and error-prone. Leading data center professionals don’t waste time swiveling between different tools. Instead, they implement “automation via integration” that saves time and increases the accuracy of data.

When a tech community comes together, great things happen and Serverless Days ANZ 2023 was no exception. As soon as you checked-in, you could feel the community spirit, buzz and excitement that comes with an event like this. It’s been four years since the last Serverless Days ANZ was able to run IRL (In real life), and the local serverless community had been eagerly waiting for its return.