Operations | Monitoring | ITSM | DevOps | Cloud

It’s been a minute since our last Feature Focus, and we have a bit of catching up to do! I’m happy to report we’ll resume monthly updates next month, but until then, please enjoy this super-sized winter digest of what we’ve been up to at Honeycomb.

Today, we are thrilled to announce a major upgrade to the security of your networks and infrastructure on the Cycle platform. With the most recent update, our team has added IPSec support to Cycle’s Compute layer. If you’re not familiar with IPSec, it’s a suite of different encryption and authentication protocols which enables secure communication between servers.

As cloud storage becomes more popular, businesses are constantly looking for ways to improve their data storage solutions. One of the most popular cloud storage solutions is Azure Read-Access Geo-Redundant Storage, or RA-GRS. In this article, we will provide a comprehensive guide to Azure Read-Access Geo-Redundant Storage, including what it is, how it works, and its benefits.

Businesses want to earn the trust of their customers. This explains why every brand dreams of ranking on the surveys that ask consumers for their most trusted brands. People, after all, trust their friends, family, and loved ones. If a brand can enjoy the same type of relationship with their customers, they will keep them for the long haul. Unfortunately, trust is easily broken. One of the quickest ways to do so as a digital business is to fall victim to a security breach.

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.