Cloud Computing
For the last few weeks, the federal IT industry has been trying to decipher the 18-page “DOD Cloud Strategy”. It is dated December 2018 but was posted online this month.
Among the initial reactions:
Cybersecurity
The rising numbers of data breaches should come as no surprise to federal IT security pros who work every day to ensure agency information is secure. However, these breaches may not be something a federal IT team can prevent on its own.
Big Data & Analytics
The database is at the heart of every application; when applications are having performance issues, there’s a good chance the database is somehow involved. The greater the depth of insight a federal IT pro has into its performance, the more opportunity to enhance application performance.
Every federal IT pro collects (or, should collect) database performance information. Yet, there is a dramatic difference between simply collecting data and correlating and analyzing that data to get actionable results.
Data & Storage
State and local government CIOs are always looking for ways to be agile and innovative in the delivery of citizen services. Yet, developing digital initiatives and omni-channel experiences in response to constituent demand is a real challenge.
Perpetual barriers to digital transformation like siloed systems and data, funding, and ongoing support for legacy systems all must be addressed.
Low-code development can help, and many agencies are taking note.
Cybersecurity
On January 22, the Department of Homeland Security (DHS) issued a directive to government agencies in response to breaches of the Domain Name System (DNS). The attackers used stolen credentials to alter DNS entries and steal certificates used for encryption and decryption.
Big Data & Analytics
Public sector organizations generate huge volumes of log data each day from servers, virtualization infrastructure, databases, security systems, applications, and more. And, according to IDC, unstructured data is growing at an annual compound rate of 60%. But due to its unstructured nature, that data, often called machine data, is much harder to analyze than structured data.