Operations | Monitoring | ITSM | DevOps | Cloud

How Data Types and Query Tuning Can Improve Application Performance

One of the easier ways to improve the performance of your SQL Server and Azure SQL database queries is to ensure you choose the right data types for your data, and the data types in your application’s code match the ones in your stored procedures and queries. Choosing the right data type conserves space, because doing something like choosing a variable character type for data of fixed, regular length like a phone number or national ID number is wasteful.

How Secure Tenancy Keeps Your Secrets Secret

The best way to be sure that you keep a secret is not to know it in the first place. Managing secrets is a notoriously difficult engineering problem. Across our industry, secrets are stored in a bewildering variety of secure (and sometimes notoriously insecure) systems of varying complexity. Engineers are often trying to balance the least worst set of tradeoffs. At Honeycomb, we asked: What if we didn’t need to know your secrets to begin with?

New: Optimize Slow Queries with Enhanced Database Visibility in Splunk Observability

Databases have always been the backbone of applications – both web and enterprise. Now, more than ever before, you need to know not just overall statistics about your database, but you must identify how database performance interacts with the network, operating system, servers, configuration, and even third party dependencies.

Dashboard Studio: New Features Highlighted At .conf21

I am very excited that this year’s.conf21was the first.conf where we got to showcase Dashboard Studio, which has come built-in with every Splunk Enterprise and Splunk Cloud Platform release, since 8.2 and 8.1.2103, respectively. I am even more excited to share a packed list of new features in the 8.2.2109 release, which coincides with.conf21! This blog post will highlight a few capability areas we've been heavily focused on that will help you do even more with your dashboards.

Increasing the efficiency of customer service delivery

Running a customer contact center to meet the sky-high expectations of today’s customers is hard work. Success depends on having agents who can empathize with and advocate for your customers in order to give them satisfactory answers and resolutions. This is no small task, and the dynamic nature and complexity of all the factors involved make it even more difficult.

Datadog Cloudsmith Integration

Cloudsmith is happy to announce an integration with Datadog to help our customers monitor their Cloudsmith account. Datadog is an observability service for cloud-scale apps, providing monitoring of servers, databases, tools, and services through a SaaS based data analytics platform. At Cloudsmith we are big fans of Datadog and use it to monitor and visualize how our system is performing across a range of services and tools.

The World After Covid-19: How Jobs, Bosses, & Firms May Improve

In 1993 the management guru Peter Drucker argued that “commuting to office work is obsolete.” As of last year, his vision hadn’t quite come true: nearly half of global companies in one survey still prohibited remote working. Then the pandemic hit. Suddenly millions of people started doing their jobs from home. Work will never be the same.

5 Sustainable IT Practices for Your SaaS Applications

With web browser-accessed applications reaching record levels, employees are now spending most of their productive work time inside a cavern of business web applications. These may be custom applications built by a company for specific business purposes, or commercial SaaS applications for important functions such as collaboration, workflow management, scheduling, communication, transactional business, single sign-on, development, service desk, CRM, HR, and others.

Kubernetes Fully Managed: Overcoming CIOs challenges

Kubernetes is everywhere! In the public and private cloud, and from the enterprise to startups, the majority of IT executives around the world have explored Kubernetes, and how it has evolved the way many organisations are developing and deploying their applications. But what is scary about it, and how can organisations better leverage one of the greatest tools in the field while overcoming the biggest challenges facing CIOs when adopting Kubernetes?